Art11

Member State report / Art11 / 2020 / D4 / Sweden / NE Atlantic: Greater North Sea

Report type	Member State report to Commission
MSFD Article	Art. 11 Monitoring programmes (and Art. 17 updates)
Report due	2020-10-15
GES Descriptor	D4 Food webs/D1 Ecosystems
Member State	Sweden
Region/subregion	NE Atlantic: Greater North Sea
Reported by	Swedish Agency for Marine and Water Management Gullbergs Strandgata 15, 411 04 Göteborg Box 11930,
Report date	2020-10-16
Report access	ART11_SE_MONprog_v5.xml ART11_SE_MONstrat_v4.xml

Simplified table

Descriptor	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1	D4/D1
Monitoring strategy description	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.	Several monitoring programmes provide data on the state of species, which could be assigned to different trophic guilds in the marine food web, from benthic habitats and plankton community to mobile species in the top of the food chain. Monitoring of pressures and activities can also provide insight to why impacts in the food web occur. However, there are still need for more research to connect the dots before being able to understand the dynamics of the food webs in full. Research on how to assess the state of food webs is still under development and it remains to be seen whether the current monitoring of different trophic guilds are sufficient or not. It is important to be able to understand the dynamics of the plankton community based on both species composition and the degree of autotrophy or heterotrophy. The monitoring of the bacterial community together with the phytoplankton community is central to the analysis of the balance between autotrophy and heterotrophy, but this balance is only assessed to a limited extent. In addition, it is important to be able to use detailed information on variation in food preferences of relevant predators, i.e. zooplankton, fish, birds and marine mammals. Changes in the species' state of health, such as nutritional and reproductive status in marine mammals, breeding success in birds and weight/length ratio in the fish community are also important parameters to be able to assess food webs. Monitoring of these parameters need sufficient frequency and spatial resolution, taking into account the range of the species. There are no targets in place specifically linked to marine food webs, however, the targets for hazardous substances, eutrophication, marine litter, underwater noise and fishing activities are indirectly relevant to achieve good status also for D4. Just as for the targets the links between the human activities and pressures and how they may impact the populations and communities are not yet crystal clear. Several measures may cause positive changes in the marine species populations and communities, but there´s not yet full insight in how the monitoring and assessment methods in place could be used to detect positive changes in the food web as the result of measures.
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Gaps and plans	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.	Length-weight calculations of zooplankton biomass are deficient in both the North Sea and the Baltic Sea, why Gothenburg University and SMHI have been commissioned to review this. The Helcom methods may not be used successfully because the species composition and other factors differ significantly between the southern Baltic Sea and the Gulf of Bothnia. The presence of gelatinous zooplankton, such as jellyfish, can also significantly affect the food web, which is why monitoring of this group has started in 2020 (see programme Zooplankton). Monitoring of benthic habitats also provides important data, as these governs, e.g. food supply and access to species' habitats. There is still a lack of knowledge about how benthic data can be used in the assessment of food webs. However, a pilot study is underway within Ospar to produce assessments in the Kattegat based on Ecological Network analysis (ENA) and existing food web models such as EcoPath. The purpose of these assessments is to identify deviations from a reference condition and they thus illustrate an unnatural variation over time. This will however not necessarily include defining thresholds, as it has not yet been possible to distinguish between good and bad environmental status. How assessment of food webs can be further developed will be discussed in both HELCOM and OSPAR in the coming years based on the outcome of the pilot study in OSPAR and the Bonus projects XWebs and BlueWebs. SwAM also observe the developments in other research projects, such as EcoChange, and research funded by the Environmental Research Grant, where food web interactions and their impact are studied and where the results can be translated into improved monitoring for D4. For the development of the monitoring of the various trophic guilds, see the strategies for mammals, seabirds, fish and pelagic and benthic habitats.
Related targets	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur	ANSSE-A.1_Tillförsel_näringsämnen ANSSE-B.2_Tillförsel_farliga_ämnen_effekt ANSSE-E.1_Skräp ANSSE-E.2_Impulsivt_ljud_däggdjur BALSE-A.1_Tillförsel_näringsämnen BALSE-B.2_Tillförsel_farliga_ämnen_effekt BALSE-E.1_Skräp BALSE-E.2_Impulsivt_ljud_däggdjur
Coverage of targets	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024
Related measures	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'	ANSSE-M034 - 'National environmental targets'
Coverage of measures	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024	Adequate monitoring will be in place by 2024
Related monitoring programmes	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle	SE-D1D3D4-coastalfish SE-D1D3D4-offshorefish SE-D1D3D4D6-seafloormegafauna SE-D1D4-seabirds SE-D1D4-seals SE-D1D4-zooplankton SE-D1D4D5-macrophytes SE-D1D4D5-phytoplankton SE-D1D4D6D7-benthab SE-D1D4D8-mammalhealth SE-D4D5D6-macrozoobenthos SE-D4D8-eagle
Programme code	SE-D1D3D4-coastalfish	SE-D1D3D4-coastalfish	SE-D1D3D4-coastalfish	SE-D1D3D4-coastalfish	SE-D1D3D4-coastalfish	SE-D1D3D4-coastalfish	SE-D1D3D4-coastalfish	SE-D1D3D4-coastalfish	SE-D1D3D4-offshorefish	SE-D1D3D4-offshorefish	SE-D1D3D4-offshorefish	SE-D1D3D4-offshorefish	SE-D1D3D4-offshorefish	SE-D1D3D4-offshorefish	SE-D1D3D4-offshorefish	SE-D1D3D4-offshorefish	SE-D1D3D4-offshorefish	SE-D1D3D4-offshorefish	SE-D1D3D4-offshorefish	SE-D1D3D4-offshorefish	SE-D1D3D4D6-seafloormegafauna	SE-D1D3D4D6-seafloormegafauna	SE-D1D3D4D6-seafloormegafauna	SE-D1D3D4D6-seafloormegafauna	SE-D1D3D4D6-seafloormegafauna	SE-D1D3D4D6-seafloormegafauna	SE-D1D3D4D6-seafloormegafauna	SE-D1D4-seabirds	SE-D1D4-seabirds	SE-D1D4-seabirds	SE-D1D4-seabirds	SE-D1D4-seabirds	SE-D1D4-seabirds	SE-D1D4-seabirds	SE-D1D4-seabirds	SE-D1D4-seabirds	SE-D1D4-seabirds	SE-D1D4-seabirds	SE-D1D4-seabirds	SE-D1D4-seabirds	SE-D1D4-seabirds	SE-D1D4-seabirds	SE-D1D4-seabirds	SE-D1D4-seabirds	SE-D1D4-seabirds	SE-D1D4-seabirds	SE-D1D4-seabirds	SE-D1D4-seabirds	SE-D1D4-seals	SE-D1D4-seals	SE-D1D4-seals	SE-D1D4-seals	SE-D1D4-seals	SE-D1D4-seals	SE-D1D4-zooplankton	SE-D1D4-zooplankton	SE-D1D4-zooplankton	SE-D1D4-zooplankton	SE-D1D4D5-macrophytes	SE-D1D4D5-macrophytes	SE-D1D4D5-macrophytes	SE-D1D4D5-macrophytes	SE-D1D4D5-macrophytes	SE-D1D4D5-phytoplankton	SE-D1D4D5-phytoplankton	SE-D1D4D5-phytoplankton	SE-D1D4D5-phytoplankton	SE-D1D4D5-phytoplankton	SE-D1D4D5-phytoplankton	SE-D1D4D5-phytoplankton	SE-D1D4D5-phytoplankton	SE-D1D4D5-phytoplankton	SE-D1D4D6D7-benthab	SE-D1D4D6D7-benthab	SE-D1D4D6D7-benthab	SE-D1D4D6D7-benthab	SE-D1D4D6D7-benthab	SE-D1D4D6D7-benthab	SE-D1D4D6D7-benthab	SE-D1D4D6D7-benthab	SE-D1D4D6D7-benthab	SE-D1D4D6D7-benthab	SE-D1D4D8-mammalhealth	SE-D1D4D8-mammalhealth	SE-D1D4D8-mammalhealth	SE-D1D4D8-mammalhealth	SE-D1D4D8-mammalhealth	SE-D4D5D6-macrozoobenthos	SE-D4D5D6-macrozoobenthos	SE-D4D5D6-macrozoobenthos	SE-D4D5D6-macrozoobenthos	SE-D4D5D6-macrozoobenthos	SE-D4D5D6-macrozoobenthos	SE-D4D8-eagle	SE-D4D8-eagle
Programme name	Coastal fish	Coastal fish	Coastal fish	Coastal fish	Coastal fish	Coastal fish	Coastal fish	Coastal fish	Offshore fish	Offshore fish	Offshore fish	Offshore fish	Offshore fish	Offshore fish	Offshore fish	Offshore fish	Offshore fish	Offshore fish	Offshore fish	Offshore fish	Macrozoobenthos - on the seafloor	Macrozoobenthos - on the seafloor	Macrozoobenthos - on the seafloor	Macrozoobenthos - on the seafloor	Macrozoobenthos - on the seafloor	Macrozoobenthos - on the seafloor	Macrozoobenthos - on the seafloor	Seabirds	Seabirds	Seabirds	Seabirds	Seabirds	Seabirds	Seabirds	Seabirds	Seabirds	Seabirds	Seabirds	Seabirds	Seabirds	Seabirds	Seabirds	Seabirds	Seabirds	Seabirds	Seabirds	Seabirds	Seabirds	Seals	Seals	Seals	Seals	Seals	Seals	Zooplankton	Zooplankton	Zooplankton	Zooplankton	Macrophytes	Macrophytes	Macrophytes	Macrophytes	Macrophytes	Phytoplankton (including pelagic bacteria and harmful algal blooms)	Phytoplankton (including pelagic bacteria and harmful algal blooms)	Phytoplankton (including pelagic bacteria and harmful algal blooms)	Phytoplankton (including pelagic bacteria and harmful algal blooms)	Phytoplankton (including pelagic bacteria and harmful algal blooms)	Phytoplankton (including pelagic bacteria and harmful algal blooms)	Phytoplankton (including pelagic bacteria and harmful algal blooms)	Phytoplankton (including pelagic bacteria and harmful algal blooms)	Phytoplankton (including pelagic bacteria and harmful algal blooms)	Benthic habitats	Benthic habitats	Benthic habitats	Benthic habitats	Benthic habitats	Benthic habitats	Benthic habitats	Benthic habitats	Benthic habitats	Benthic habitats	Marine mammals health status	Marine mammals health status	Marine mammals health status	Marine mammals health status	Marine mammals health status	Macrozoobenthos - infauna	Macrozoobenthos - infauna	Macrozoobenthos - infauna	Macrozoobenthos - infauna	Macrozoobenthos - infauna	Macrozoobenthos - infauna	White-tailed eagle productivity	White-tailed eagle productivity
Update type	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	New programme	New programme	New programme	New programme	New programme	New programme	New programme	New programme	New programme	New programme	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014	Modified from 2014
Old programme codes	ANSSE-Fish-D14-Kust ANSSE-Fish-D14-Tral BALSE-Fish-D14-Kust	ANSSE-Fish-D14-Kust ANSSE-Fish-D14-Tral BALSE-Fish-D14-Kust	ANSSE-Fish-D14-Kust ANSSE-Fish-D14-Tral BALSE-Fish-D14-Kust	ANSSE-Fish-D14-Kust ANSSE-Fish-D14-Tral BALSE-Fish-D14-Kust	ANSSE-Fish-D14-Kust ANSSE-Fish-D14-Tral BALSE-Fish-D14-Kust	ANSSE-Fish-D14-Kust ANSSE-Fish-D14-Tral BALSE-Fish-D14-Kust	ANSSE-Fish-D14-Kust ANSSE-Fish-D14-Tral BALSE-Fish-D14-Kust	ANSSE-Fish-D14-Kust ANSSE-Fish-D14-Tral BALSE-Fish-D14-Kust	ANSSE-COMFISH-D3-Bottenlevande ANSSE-COMFISH-D3-Utkast BALSE-COMFISH-D3-Bottenlevande BALSE-COMFISH-D3-Pelagisk BALSE-COMFISH-D3-Utkast	ANSSE-COMFISH-D3-Bottenlevande ANSSE-COMFISH-D3-Utkast BALSE-COMFISH-D3-Bottenlevande BALSE-COMFISH-D3-Pelagisk BALSE-COMFISH-D3-Utkast	ANSSE-COMFISH-D3-Bottenlevande ANSSE-COMFISH-D3-Utkast BALSE-COMFISH-D3-Bottenlevande BALSE-COMFISH-D3-Pelagisk BALSE-COMFISH-D3-Utkast	ANSSE-COMFISH-D3-Bottenlevande ANSSE-COMFISH-D3-Utkast BALSE-COMFISH-D3-Bottenlevande BALSE-COMFISH-D3-Pelagisk BALSE-COMFISH-D3-Utkast	ANSSE-COMFISH-D3-Bottenlevande ANSSE-COMFISH-D3-Utkast BALSE-COMFISH-D3-Bottenlevande BALSE-COMFISH-D3-Pelagisk BALSE-COMFISH-D3-Utkast	ANSSE-COMFISH-D3-Bottenlevande ANSSE-COMFISH-D3-Utkast BALSE-COMFISH-D3-Bottenlevande BALSE-COMFISH-D3-Pelagisk BALSE-COMFISH-D3-Utkast	ANSSE-COMFISH-D3-Bottenlevande ANSSE-COMFISH-D3-Utkast BALSE-COMFISH-D3-Bottenlevande BALSE-COMFISH-D3-Pelagisk BALSE-COMFISH-D3-Utkast	ANSSE-COMFISH-D3-Bottenlevande ANSSE-COMFISH-D3-Utkast BALSE-COMFISH-D3-Bottenlevande BALSE-COMFISH-D3-Pelagisk BALSE-COMFISH-D3-Utkast	ANSSE-COMFISH-D3-Bottenlevande ANSSE-COMFISH-D3-Utkast BALSE-COMFISH-D3-Bottenlevande BALSE-COMFISH-D3-Pelagisk BALSE-COMFISH-D3-Utkast	ANSSE-COMFISH-D3-Bottenlevande ANSSE-COMFISH-D3-Utkast BALSE-COMFISH-D3-Bottenlevande BALSE-COMFISH-D3-Pelagisk BALSE-COMFISH-D3-Utkast	ANSSE-COMFISH-D3-Bottenlevande ANSSE-COMFISH-D3-Utkast BALSE-COMFISH-D3-Bottenlevande BALSE-COMFISH-D3-Pelagisk BALSE-COMFISH-D3-Utkast	ANSSE-COMFISH-D3-Bottenlevande ANSSE-COMFISH-D3-Utkast BALSE-COMFISH-D3-Bottenlevande BALSE-COMFISH-D3-Pelagisk BALSE-COMFISH-D3-Utkast	ANSSE-COMFISH-D3-Havskrafta	ANSSE-COMFISH-D3-Havskrafta	ANSSE-COMFISH-D3-Havskrafta	ANSSE-COMFISH-D3-Havskrafta	ANSSE-COMFISH-D3-Havskrafta	ANSSE-COMFISH-D3-Havskrafta	ANSSE-COMFISH-D3-Havskrafta	ANSSE-Birds-D14-Overvintrande BALSE-Birds-D14-Hackande BALSE-Birds-D14-Overvintrande	ANSSE-Birds-D14-Overvintrande BALSE-Birds-D14-Hackande BALSE-Birds-D14-Overvintrande	ANSSE-Birds-D14-Overvintrande BALSE-Birds-D14-Hackande BALSE-Birds-D14-Overvintrande	ANSSE-Birds-D14-Overvintrande BALSE-Birds-D14-Hackande BALSE-Birds-D14-Overvintrande	ANSSE-Birds-D14-Overvintrande BALSE-Birds-D14-Hackande BALSE-Birds-D14-Overvintrande	ANSSE-Birds-D14-Overvintrande BALSE-Birds-D14-Hackande BALSE-Birds-D14-Overvintrande	ANSSE-Birds-D14-Overvintrande BALSE-Birds-D14-Hackande BALSE-Birds-D14-Overvintrande	ANSSE-Birds-D14-Overvintrande BALSE-Birds-D14-Hackande BALSE-Birds-D14-Overvintrande	ANSSE-Birds-D14-Overvintrande BALSE-Birds-D14-Hackande BALSE-Birds-D14-Overvintrande	ANSSE-Birds-D14-Overvintrande BALSE-Birds-D14-Hackande BALSE-Birds-D14-Overvintrande	ANSSE-Birds-D14-Overvintrande BALSE-Birds-D14-Hackande BALSE-Birds-D14-Overvintrande	ANSSE-Birds-D14-Overvintrande BALSE-Birds-D14-Hackande BALSE-Birds-D14-Overvintrande	ANSSE-Birds-D14-Overvintrande BALSE-Birds-D14-Hackande BALSE-Birds-D14-Overvintrande	ANSSE-Birds-D14-Overvintrande BALSE-Birds-D14-Hackande BALSE-Birds-D14-Overvintrande	ANSSE-Birds-D14-Overvintrande BALSE-Birds-D14-Hackande BALSE-Birds-D14-Overvintrande	ANSSE-Birds-D14-Overvintrande BALSE-Birds-D14-Hackande BALSE-Birds-D14-Overvintrande	ANSSE-Birds-D14-Overvintrande BALSE-Birds-D14-Hackande BALSE-Birds-D14-Overvintrande	ANSSE-Birds-D14-Overvintrande BALSE-Birds-D14-Hackande BALSE-Birds-D14-Overvintrande	ANSSE-Birds-D14-Overvintrande BALSE-Birds-D14-Hackande BALSE-Birds-D14-Overvintrande	ANSSE-Birds-D14-Overvintrande BALSE-Birds-D14-Hackande BALSE-Birds-D14-Overvintrande	ANSSE-Birds-D14-Overvintrande BALSE-Birds-D14-Hackande BALSE-Birds-D14-Overvintrande	ANSSE-mammals-D14-Sal BALSE-mammals-D14-Sal	ANSSE-mammals-D14-Sal BALSE-mammals-D14-Sal	ANSSE-mammals-D14-Sal BALSE-mammals-D14-Sal	ANSSE-mammals-D14-Sal BALSE-mammals-D14-Sal	ANSSE-mammals-D14-Sal BALSE-mammals-D14-Sal	ANSSE-mammals-D14-Sal BALSE-mammals-D14-Sal	ANSSE-PEL-D14-Djurplankton BALSE-PEL-D14-Djurplankton	ANSSE-PEL-D14-Djurplankton BALSE-PEL-D14-Djurplankton	ANSSE-PEL-D14-Djurplankton BALSE-PEL-D14-Djurplankton	ANSSE-PEL-D14-Djurplankton BALSE-PEL-D14-Djurplankton	ANSSE-BENT-D165-Vegetation BALSE-BENT-D165-Vegetation	ANSSE-BENT-D165-Vegetation BALSE-BENT-D165-Vegetation	ANSSE-BENT-D165-Vegetation BALSE-BENT-D165-Vegetation	ANSSE-BENT-D165-Vegetation BALSE-BENT-D165-Vegetation	ANSSE-BENT-D165-Vegetation BALSE-BENT-D165-Vegetation	ANSSE-PEL-D145-Algblomning ANSSE-PEL-D145-Pigment ANSSE-PEL-D145-Vaxtplankton BALSE-PEL-D145-Algblomning BALSE-PEL-D145-Pigment BALSE-PEL-D145-Vaxtplankton	ANSSE-PEL-D145-Algblomning ANSSE-PEL-D145-Pigment ANSSE-PEL-D145-Vaxtplankton BALSE-PEL-D145-Algblomning BALSE-PEL-D145-Pigment BALSE-PEL-D145-Vaxtplankton	ANSSE-PEL-D145-Algblomning ANSSE-PEL-D145-Pigment ANSSE-PEL-D145-Vaxtplankton BALSE-PEL-D145-Algblomning BALSE-PEL-D145-Pigment BALSE-PEL-D145-Vaxtplankton	ANSSE-PEL-D145-Algblomning ANSSE-PEL-D145-Pigment ANSSE-PEL-D145-Vaxtplankton BALSE-PEL-D145-Algblomning BALSE-PEL-D145-Pigment BALSE-PEL-D145-Vaxtplankton	ANSSE-PEL-D145-Algblomning ANSSE-PEL-D145-Pigment ANSSE-PEL-D145-Vaxtplankton BALSE-PEL-D145-Algblomning BALSE-PEL-D145-Pigment BALSE-PEL-D145-Vaxtplankton	ANSSE-PEL-D145-Algblomning ANSSE-PEL-D145-Pigment ANSSE-PEL-D145-Vaxtplankton BALSE-PEL-D145-Algblomning BALSE-PEL-D145-Pigment BALSE-PEL-D145-Vaxtplankton	ANSSE-PEL-D145-Algblomning ANSSE-PEL-D145-Pigment ANSSE-PEL-D145-Vaxtplankton BALSE-PEL-D145-Algblomning BALSE-PEL-D145-Pigment BALSE-PEL-D145-Vaxtplankton	ANSSE-PEL-D145-Algblomning ANSSE-PEL-D145-Pigment ANSSE-PEL-D145-Vaxtplankton BALSE-PEL-D145-Algblomning BALSE-PEL-D145-Pigment BALSE-PEL-D145-Vaxtplankton	ANSSE-PEL-D145-Algblomning ANSSE-PEL-D145-Pigment ANSSE-PEL-D145-Vaxtplankton BALSE-PEL-D145-Algblomning BALSE-PEL-D145-Pigment BALSE-PEL-D145-Vaxtplankton											ANSSE-HAZ-D814-Salhalsa BALSE-HAZ-D814-Salhalsa	ANSSE-HAZ-D814-Salhalsa BALSE-HAZ-D814-Salhalsa	ANSSE-HAZ-D814-Salhalsa BALSE-HAZ-D814-Salhalsa	ANSSE-HAZ-D814-Salhalsa BALSE-HAZ-D814-Salhalsa	ANSSE-HAZ-D814-Salhalsa BALSE-HAZ-D814-Salhalsa	ANSSE-BENT-D165-Bottenfauna BALSE-BENT-D165-Bottenfauna	ANSSE-BENT-D165-Bottenfauna BALSE-BENT-D165-Bottenfauna	ANSSE-BENT-D165-Bottenfauna BALSE-BENT-D165-Bottenfauna	ANSSE-BENT-D165-Bottenfauna BALSE-BENT-D165-Bottenfauna	ANSSE-BENT-D165-Bottenfauna BALSE-BENT-D165-Bottenfauna	ANSSE-BENT-D165-Bottenfauna BALSE-BENT-D165-Bottenfauna	BALSE-HAZ-D814-Havsorn	BALSE-HAZ-D814-Havsorn
Programme description	Coastal fish refer to the fish species that live a significant part of their lives in the coastal ecosystem, such as flounder (Platichthys flesus), perch (Perca fluviatilis) and eelpout (Zoarces viviparus). Coastal fish monitoring (trawls, nets, hydroacoustics) aims to describe changes in the fishing community as a whole, in terms of species composition, relative occurrence of different species and size structure. In addition, changes at species level are followed up by analyzing changes in the number and size structure of the most common species in the catch. In some surveys, individual sampling of selected species is performed. The individual sampling aims to provide information about, for example, individual weight and condition, and provides material for further analysis of, for example, age and fish health. The state of coastal fish reflects the coastal ecosystem and the impact of small-scale coastal fishing and recreational fishing (see programmes Commercial fisheries and Recreational fisheries). Long-term changes in the abundance of different functional groups of coastal fish can also be affected by eutrophication, deteriorating habitats and changes in predation. The latter may be due to imbalance in the food web due to human impact such as fishing and loss of important habitats. Monitoring in the Baltic Sea started in 1960 while in the North Sea it started in 1969. Abramis bjoerkna, Arnoglossus laterna, Callionymus lyra, Chelidonichthys gurnardus, Myoxocephalus scorpius and Trachinus draco are also monitored but they were not included in the element lists for Coastal fish nor Commercial fish	Coastal fish refer to the fish species that live a significant part of their lives in the coastal ecosystem, such as flounder (Platichthys flesus), perch (Perca fluviatilis) and eelpout (Zoarces viviparus). Coastal fish monitoring (trawls, nets, hydroacoustics) aims to describe changes in the fishing community as a whole, in terms of species composition, relative occurrence of different species and size structure. In addition, changes at species level are followed up by analyzing changes in the number and size structure of the most common species in the catch. In some surveys, individual sampling of selected species is performed. The individual sampling aims to provide information about, for example, individual weight and condition, and provides material for further analysis of, for example, age and fish health. The state of coastal fish reflects the coastal ecosystem and the impact of small-scale coastal fishing and recreational fishing (see programmes Commercial fisheries and Recreational fisheries). Long-term changes in the abundance of different functional groups of coastal fish can also be affected by eutrophication, deteriorating habitats and changes in predation. The latter may be due to imbalance in the food web due to human impact such as fishing and loss of important habitats. Monitoring in the Baltic Sea started in 1960 while in the North Sea it started in 1969. Abramis bjoerkna, Arnoglossus laterna, Callionymus lyra, Chelidonichthys gurnardus, Myoxocephalus scorpius and Trachinus draco are also monitored but they were not included in the element lists for Coastal fish nor Commercial fish	Coastal fish refer to the fish species that live a significant part of their lives in the coastal ecosystem, such as flounder (Platichthys flesus), perch (Perca fluviatilis) and eelpout (Zoarces viviparus). Coastal fish monitoring (trawls, nets, hydroacoustics) aims to describe changes in the fishing community as a whole, in terms of species composition, relative occurrence of different species and size structure. In addition, changes at species level are followed up by analyzing changes in the number and size structure of the most common species in the catch. In some surveys, individual sampling of selected species is performed. The individual sampling aims to provide information about, for example, individual weight and condition, and provides material for further analysis of, for example, age and fish health. The state of coastal fish reflects the coastal ecosystem and the impact of small-scale coastal fishing and recreational fishing (see programmes Commercial fisheries and Recreational fisheries). Long-term changes in the abundance of different functional groups of coastal fish can also be affected by eutrophication, deteriorating habitats and changes in predation. The latter may be due to imbalance in the food web due to human impact such as fishing and loss of important habitats. Monitoring in the Baltic Sea started in 1960 while in the North Sea it started in 1969. Abramis bjoerkna, Arnoglossus laterna, Callionymus lyra, Chelidonichthys gurnardus, Myoxocephalus scorpius and Trachinus draco are also monitored but they were not included in the element lists for Coastal fish nor Commercial fish	Coastal fish refer to the fish species that live a significant part of their lives in the coastal ecosystem, such as flounder (Platichthys flesus), perch (Perca fluviatilis) and eelpout (Zoarces viviparus). Coastal fish monitoring (trawls, nets, hydroacoustics) aims to describe changes in the fishing community as a whole, in terms of species composition, relative occurrence of different species and size structure. In addition, changes at species level are followed up by analyzing changes in the number and size structure of the most common species in the catch. In some surveys, individual sampling of selected species is performed. The individual sampling aims to provide information about, for example, individual weight and condition, and provides material for further analysis of, for example, age and fish health. The state of coastal fish reflects the coastal ecosystem and the impact of small-scale coastal fishing and recreational fishing (see programmes Commercial fisheries and Recreational fisheries). Long-term changes in the abundance of different functional groups of coastal fish can also be affected by eutrophication, deteriorating habitats and changes in predation. The latter may be due to imbalance in the food web due to human impact such as fishing and loss of important habitats. Monitoring in the Baltic Sea started in 1960 while in the North Sea it started in 1969. Abramis bjoerkna, Arnoglossus laterna, Callionymus lyra, Chelidonichthys gurnardus, Myoxocephalus scorpius and Trachinus draco are also monitored but they were not included in the element lists for Coastal fish nor Commercial fish	Coastal fish refer to the fish species that live a significant part of their lives in the coastal ecosystem, such as flounder (Platichthys flesus), perch (Perca fluviatilis) and eelpout (Zoarces viviparus). Coastal fish monitoring (trawls, nets, hydroacoustics) aims to describe changes in the fishing community as a whole, in terms of species composition, relative occurrence of different species and size structure. In addition, changes at species level are followed up by analyzing changes in the number and size structure of the most common species in the catch. In some surveys, individual sampling of selected species is performed. The individual sampling aims to provide information about, for example, individual weight and condition, and provides material for further analysis of, for example, age and fish health. The state of coastal fish reflects the coastal ecosystem and the impact of small-scale coastal fishing and recreational fishing (see programmes Commercial fisheries and Recreational fisheries). Long-term changes in the abundance of different functional groups of coastal fish can also be affected by eutrophication, deteriorating habitats and changes in predation. The latter may be due to imbalance in the food web due to human impact such as fishing and loss of important habitats. Monitoring in the Baltic Sea started in 1960 while in the North Sea it started in 1969. Abramis bjoerkna, Arnoglossus laterna, Callionymus lyra, Chelidonichthys gurnardus, Myoxocephalus scorpius and Trachinus draco are also monitored but they were not included in the element lists for Coastal fish nor Commercial fish	Coastal fish refer to the fish species that live a significant part of their lives in the coastal ecosystem, such as flounder (Platichthys flesus), perch (Perca fluviatilis) and eelpout (Zoarces viviparus). Coastal fish monitoring (trawls, nets, hydroacoustics) aims to describe changes in the fishing community as a whole, in terms of species composition, relative occurrence of different species and size structure. In addition, changes at species level are followed up by analyzing changes in the number and size structure of the most common species in the catch. In some surveys, individual sampling of selected species is performed. The individual sampling aims to provide information about, for example, individual weight and condition, and provides material for further analysis of, for example, age and fish health. The state of coastal fish reflects the coastal ecosystem and the impact of small-scale coastal fishing and recreational fishing (see programmes Commercial fisheries and Recreational fisheries). Long-term changes in the abundance of different functional groups of coastal fish can also be affected by eutrophication, deteriorating habitats and changes in predation. The latter may be due to imbalance in the food web due to human impact such as fishing and loss of important habitats. Monitoring in the Baltic Sea started in 1960 while in the North Sea it started in 1969. Abramis bjoerkna, Arnoglossus laterna, Callionymus lyra, Chelidonichthys gurnardus, Myoxocephalus scorpius and Trachinus draco are also monitored but they were not included in the element lists for Coastal fish nor Commercial fish	Coastal fish refer to the fish species that live a significant part of their lives in the coastal ecosystem, such as flounder (Platichthys flesus), perch (Perca fluviatilis) and eelpout (Zoarces viviparus). Coastal fish monitoring (trawls, nets, hydroacoustics) aims to describe changes in the fishing community as a whole, in terms of species composition, relative occurrence of different species and size structure. In addition, changes at species level are followed up by analyzing changes in the number and size structure of the most common species in the catch. In some surveys, individual sampling of selected species is performed. The individual sampling aims to provide information about, for example, individual weight and condition, and provides material for further analysis of, for example, age and fish health. The state of coastal fish reflects the coastal ecosystem and the impact of small-scale coastal fishing and recreational fishing (see programmes Commercial fisheries and Recreational fisheries). Long-term changes in the abundance of different functional groups of coastal fish can also be affected by eutrophication, deteriorating habitats and changes in predation. The latter may be due to imbalance in the food web due to human impact such as fishing and loss of important habitats. Monitoring in the Baltic Sea started in 1960 while in the North Sea it started in 1969. Abramis bjoerkna, Arnoglossus laterna, Callionymus lyra, Chelidonichthys gurnardus, Myoxocephalus scorpius and Trachinus draco are also monitored but they were not included in the element lists for Coastal fish nor Commercial fish	Coastal fish refer to the fish species that live a significant part of their lives in the coastal ecosystem, such as flounder (Platichthys flesus), perch (Perca fluviatilis) and eelpout (Zoarces viviparus). Coastal fish monitoring (trawls, nets, hydroacoustics) aims to describe changes in the fishing community as a whole, in terms of species composition, relative occurrence of different species and size structure. In addition, changes at species level are followed up by analyzing changes in the number and size structure of the most common species in the catch. In some surveys, individual sampling of selected species is performed. The individual sampling aims to provide information about, for example, individual weight and condition, and provides material for further analysis of, for example, age and fish health. The state of coastal fish reflects the coastal ecosystem and the impact of small-scale coastal fishing and recreational fishing (see programmes Commercial fisheries and Recreational fisheries). Long-term changes in the abundance of different functional groups of coastal fish can also be affected by eutrophication, deteriorating habitats and changes in predation. The latter may be due to imbalance in the food web due to human impact such as fishing and loss of important habitats. Monitoring in the Baltic Sea started in 1960 while in the North Sea it started in 1969. Abramis bjoerkna, Arnoglossus laterna, Callionymus lyra, Chelidonichthys gurnardus, Myoxocephalus scorpius and Trachinus draco are also monitored but they were not included in the element lists for Coastal fish nor Commercial fish	Offshore fish refers to those fish species that live a significant part of their lives in the open sea off the coast, such as herring, sprat and cod. The monitoring of these species and also commercial crustaceans such as crabfish, North Sea shrimp and lobster is coordinated between several countries in the Baltic Sea and the North Sea area, and takes place via acoustic methods and trawl surveys. Data are also collected by sampling on board commercial fishing boats and catches in ports. Several of the species monitored are used in commercial fishing (see programme Commercial fisheries) and all surveys described here are carried out within the framework of the data collection on fish and fisheries governed by EU legislation ((EU) 2017/1004, (EU) 2019 / 909 and (EU) 2019/910). The data collection forms the basis for the scientific basis for the EU Common Fisheries Policy (CFP) and the information is used in the work of the International Council for the Exploration of the Sea (ICES) to produce a basis for the fishing quotas decided by the EU. Data collection is also done for bycatches in the fishery, see programme Bycatch. Trawling of demersal fish in the North Sea (IBTS) started 1972 Trawling of demersal fish in the Baltic Sea (BITS) started 1978 Acoustic survey of pelagic fish (BIAS) started 1978 (Baltic Sea only) Sampling on board commercial fishing boats in the Baltic Sea and Kattegat stareted 1996 Sampling on board commercial fishing boats in the Skagerrak started 2002 Sampling of commercial catches in ports: different starting years for different species Frequency: Trawl surveys are carried out 6-monthly and control of fisheries 3-monthly.	Offshore fish refers to those fish species that live a significant part of their lives in the open sea off the coast, such as herring, sprat and cod. The monitoring of these species and also commercial crustaceans such as crabfish, North Sea shrimp and lobster is coordinated between several countries in the Baltic Sea and the North Sea area, and takes place via acoustic methods and trawl surveys. Data are also collected by sampling on board commercial fishing boats and catches in ports. Several of the species monitored are used in commercial fishing (see programme Commercial fisheries) and all surveys described here are carried out within the framework of the data collection on fish and fisheries governed by EU legislation ((EU) 2017/1004, (EU) 2019 / 909 and (EU) 2019/910). The data collection forms the basis for the scientific basis for the EU Common Fisheries Policy (CFP) and the information is used in the work of the International Council for the Exploration of the Sea (ICES) to produce a basis for the fishing quotas decided by the EU. Data collection is also done for bycatches in the fishery, see programme Bycatch. Trawling of demersal fish in the North Sea (IBTS) started 1972 Trawling of demersal fish in the Baltic Sea (BITS) started 1978 Acoustic survey of pelagic fish (BIAS) started 1978 (Baltic Sea only) Sampling on board commercial fishing boats in the Baltic Sea and Kattegat stareted 1996 Sampling on board commercial fishing boats in the Skagerrak started 2002 Sampling of commercial catches in ports: different starting years for different species Frequency: Trawl surveys are carried out 6-monthly and control of fisheries 3-monthly.	Offshore fish refers to those fish species that live a significant part of their lives in the open sea off the coast, such as herring, sprat and cod. The monitoring of these species and also commercial crustaceans such as crabfish, North Sea shrimp and lobster is coordinated between several countries in the Baltic Sea and the North Sea area, and takes place via acoustic methods and trawl surveys. Data are also collected by sampling on board commercial fishing boats and catches in ports. Several of the species monitored are used in commercial fishing (see programme Commercial fisheries) and all surveys described here are carried out within the framework of the data collection on fish and fisheries governed by EU legislation ((EU) 2017/1004, (EU) 2019 / 909 and (EU) 2019/910). The data collection forms the basis for the scientific basis for the EU Common Fisheries Policy (CFP) and the information is used in the work of the International Council for the Exploration of the Sea (ICES) to produce a basis for the fishing quotas decided by the EU. Data collection is also done for bycatches in the fishery, see programme Bycatch. Trawling of demersal fish in the North Sea (IBTS) started 1972 Trawling of demersal fish in the Baltic Sea (BITS) started 1978 Acoustic survey of pelagic fish (BIAS) started 1978 (Baltic Sea only) Sampling on board commercial fishing boats in the Baltic Sea and Kattegat stareted 1996 Sampling on board commercial fishing boats in the Skagerrak started 2002 Sampling of commercial catches in ports: different starting years for different species Frequency: Trawl surveys are carried out 6-monthly and control of fisheries 3-monthly.	Offshore fish refers to those fish species that live a significant part of their lives in the open sea off the coast, such as herring, sprat and cod. The monitoring of these species and also commercial crustaceans such as crabfish, North Sea shrimp and lobster is coordinated between several countries in the Baltic Sea and the North Sea area, and takes place via acoustic methods and trawl surveys. Data are also collected by sampling on board commercial fishing boats and catches in ports. Several of the species monitored are used in commercial fishing (see programme Commercial fisheries) and all surveys described here are carried out within the framework of the data collection on fish and fisheries governed by EU legislation ((EU) 2017/1004, (EU) 2019 / 909 and (EU) 2019/910). The data collection forms the basis for the scientific basis for the EU Common Fisheries Policy (CFP) and the information is used in the work of the International Council for the Exploration of the Sea (ICES) to produce a basis for the fishing quotas decided by the EU. Data collection is also done for bycatches in the fishery, see programme Bycatch. Trawling of demersal fish in the North Sea (IBTS) started 1972 Trawling of demersal fish in the Baltic Sea (BITS) started 1978 Acoustic survey of pelagic fish (BIAS) started 1978 (Baltic Sea only) Sampling on board commercial fishing boats in the Baltic Sea and Kattegat stareted 1996 Sampling on board commercial fishing boats in the Skagerrak started 2002 Sampling of commercial catches in ports: different starting years for different species Frequency: Trawl surveys are carried out 6-monthly and control of fisheries 3-monthly.	Offshore fish refers to those fish species that live a significant part of their lives in the open sea off the coast, such as herring, sprat and cod. The monitoring of these species and also commercial crustaceans such as crabfish, North Sea shrimp and lobster is coordinated between several countries in the Baltic Sea and the North Sea area, and takes place via acoustic methods and trawl surveys. Data are also collected by sampling on board commercial fishing boats and catches in ports. Several of the species monitored are used in commercial fishing (see programme Commercial fisheries) and all surveys described here are carried out within the framework of the data collection on fish and fisheries governed by EU legislation ((EU) 2017/1004, (EU) 2019 / 909 and (EU) 2019/910). The data collection forms the basis for the scientific basis for the EU Common Fisheries Policy (CFP) and the information is used in the work of the International Council for the Exploration of the Sea (ICES) to produce a basis for the fishing quotas decided by the EU. Data collection is also done for bycatches in the fishery, see programme Bycatch. Trawling of demersal fish in the North Sea (IBTS) started 1972 Trawling of demersal fish in the Baltic Sea (BITS) started 1978 Acoustic survey of pelagic fish (BIAS) started 1978 (Baltic Sea only) Sampling on board commercial fishing boats in the Baltic Sea and Kattegat stareted 1996 Sampling on board commercial fishing boats in the Skagerrak started 2002 Sampling of commercial catches in ports: different starting years for different species Frequency: Trawl surveys are carried out 6-monthly and control of fisheries 3-monthly.	Offshore fish refers to those fish species that live a significant part of their lives in the open sea off the coast, such as herring, sprat and cod. The monitoring of these species and also commercial crustaceans such as crabfish, North Sea shrimp and lobster is coordinated between several countries in the Baltic Sea and the North Sea area, and takes place via acoustic methods and trawl surveys. Data are also collected by sampling on board commercial fishing boats and catches in ports. Several of the species monitored are used in commercial fishing (see programme Commercial fisheries) and all surveys described here are carried out within the framework of the data collection on fish and fisheries governed by EU legislation ((EU) 2017/1004, (EU) 2019 / 909 and (EU) 2019/910). The data collection forms the basis for the scientific basis for the EU Common Fisheries Policy (CFP) and the information is used in the work of the International Council for the Exploration of the Sea (ICES) to produce a basis for the fishing quotas decided by the EU. Data collection is also done for bycatches in the fishery, see programme Bycatch. Trawling of demersal fish in the North Sea (IBTS) started 1972 Trawling of demersal fish in the Baltic Sea (BITS) started 1978 Acoustic survey of pelagic fish (BIAS) started 1978 (Baltic Sea only) Sampling on board commercial fishing boats in the Baltic Sea and Kattegat stareted 1996 Sampling on board commercial fishing boats in the Skagerrak started 2002 Sampling of commercial catches in ports: different starting years for different species Frequency: Trawl surveys are carried out 6-monthly and control of fisheries 3-monthly.	Offshore fish refers to those fish species that live a significant part of their lives in the open sea off the coast, such as herring, sprat and cod. The monitoring of these species and also commercial crustaceans such as crabfish, North Sea shrimp and lobster is coordinated between several countries in the Baltic Sea and the North Sea area, and takes place via acoustic methods and trawl surveys. Data are also collected by sampling on board commercial fishing boats and catches in ports. Several of the species monitored are used in commercial fishing (see programme Commercial fisheries) and all surveys described here are carried out within the framework of the data collection on fish and fisheries governed by EU legislation ((EU) 2017/1004, (EU) 2019 / 909 and (EU) 2019/910). The data collection forms the basis for the scientific basis for the EU Common Fisheries Policy (CFP) and the information is used in the work of the International Council for the Exploration of the Sea (ICES) to produce a basis for the fishing quotas decided by the EU. Data collection is also done for bycatches in the fishery, see programme Bycatch. Trawling of demersal fish in the North Sea (IBTS) started 1972 Trawling of demersal fish in the Baltic Sea (BITS) started 1978 Acoustic survey of pelagic fish (BIAS) started 1978 (Baltic Sea only) Sampling on board commercial fishing boats in the Baltic Sea and Kattegat stareted 1996 Sampling on board commercial fishing boats in the Skagerrak started 2002 Sampling of commercial catches in ports: different starting years for different species Frequency: Trawl surveys are carried out 6-monthly and control of fisheries 3-monthly.	Offshore fish refers to those fish species that live a significant part of their lives in the open sea off the coast, such as herring, sprat and cod. The monitoring of these species and also commercial crustaceans such as crabfish, North Sea shrimp and lobster is coordinated between several countries in the Baltic Sea and the North Sea area, and takes place via acoustic methods and trawl surveys. Data are also collected by sampling on board commercial fishing boats and catches in ports. Several of the species monitored are used in commercial fishing (see programme Commercial fisheries) and all surveys described here are carried out within the framework of the data collection on fish and fisheries governed by EU legislation ((EU) 2017/1004, (EU) 2019 / 909 and (EU) 2019/910). The data collection forms the basis for the scientific basis for the EU Common Fisheries Policy (CFP) and the information is used in the work of the International Council for the Exploration of the Sea (ICES) to produce a basis for the fishing quotas decided by the EU. Data collection is also done for bycatches in the fishery, see programme Bycatch. Trawling of demersal fish in the North Sea (IBTS) started 1972 Trawling of demersal fish in the Baltic Sea (BITS) started 1978 Acoustic survey of pelagic fish (BIAS) started 1978 (Baltic Sea only) Sampling on board commercial fishing boats in the Baltic Sea and Kattegat stareted 1996 Sampling on board commercial fishing boats in the Skagerrak started 2002 Sampling of commercial catches in ports: different starting years for different species Frequency: Trawl surveys are carried out 6-monthly and control of fisheries 3-monthly.	Offshore fish refers to those fish species that live a significant part of their lives in the open sea off the coast, such as herring, sprat and cod. The monitoring of these species and also commercial crustaceans such as crabfish, North Sea shrimp and lobster is coordinated between several countries in the Baltic Sea and the North Sea area, and takes place via acoustic methods and trawl surveys. Data are also collected by sampling on board commercial fishing boats and catches in ports. Several of the species monitored are used in commercial fishing (see programme Commercial fisheries) and all surveys described here are carried out within the framework of the data collection on fish and fisheries governed by EU legislation ((EU) 2017/1004, (EU) 2019 / 909 and (EU) 2019/910). The data collection forms the basis for the scientific basis for the EU Common Fisheries Policy (CFP) and the information is used in the work of the International Council for the Exploration of the Sea (ICES) to produce a basis for the fishing quotas decided by the EU. Data collection is also done for bycatches in the fishery, see programme Bycatch. Trawling of demersal fish in the North Sea (IBTS) started 1972 Trawling of demersal fish in the Baltic Sea (BITS) started 1978 Acoustic survey of pelagic fish (BIAS) started 1978 (Baltic Sea only) Sampling on board commercial fishing boats in the Baltic Sea and Kattegat stareted 1996 Sampling on board commercial fishing boats in the Skagerrak started 2002 Sampling of commercial catches in ports: different starting years for different species Frequency: Trawl surveys are carried out 6-monthly and control of fisheries 3-monthly.	Offshore fish refers to those fish species that live a significant part of their lives in the open sea off the coast, such as herring, sprat and cod. The monitoring of these species and also commercial crustaceans such as crabfish, North Sea shrimp and lobster is coordinated between several countries in the Baltic Sea and the North Sea area, and takes place via acoustic methods and trawl surveys. Data are also collected by sampling on board commercial fishing boats and catches in ports. Several of the species monitored are used in commercial fishing (see programme Commercial fisheries) and all surveys described here are carried out within the framework of the data collection on fish and fisheries governed by EU legislation ((EU) 2017/1004, (EU) 2019 / 909 and (EU) 2019/910). The data collection forms the basis for the scientific basis for the EU Common Fisheries Policy (CFP) and the information is used in the work of the International Council for the Exploration of the Sea (ICES) to produce a basis for the fishing quotas decided by the EU. Data collection is also done for bycatches in the fishery, see programme Bycatch. Trawling of demersal fish in the North Sea (IBTS) started 1972 Trawling of demersal fish in the Baltic Sea (BITS) started 1978 Acoustic survey of pelagic fish (BIAS) started 1978 (Baltic Sea only) Sampling on board commercial fishing boats in the Baltic Sea and Kattegat stareted 1996 Sampling on board commercial fishing boats in the Skagerrak started 2002 Sampling of commercial catches in ports: different starting years for different species Frequency: Trawl surveys are carried out 6-monthly and control of fisheries 3-monthly.	Offshore fish refers to those fish species that live a significant part of their lives in the open sea off the coast, such as herring, sprat and cod. The monitoring of these species and also commercial crustaceans such as crabfish, North Sea shrimp and lobster is coordinated between several countries in the Baltic Sea and the North Sea area, and takes place via acoustic methods and trawl surveys. Data are also collected by sampling on board commercial fishing boats and catches in ports. Several of the species monitored are used in commercial fishing (see programme Commercial fisheries) and all surveys described here are carried out within the framework of the data collection on fish and fisheries governed by EU legislation ((EU) 2017/1004, (EU) 2019 / 909 and (EU) 2019/910). The data collection forms the basis for the scientific basis for the EU Common Fisheries Policy (CFP) and the information is used in the work of the International Council for the Exploration of the Sea (ICES) to produce a basis for the fishing quotas decided by the EU. Data collection is also done for bycatches in the fishery, see programme Bycatch. Trawling of demersal fish in the North Sea (IBTS) started 1972 Trawling of demersal fish in the Baltic Sea (BITS) started 1978 Acoustic survey of pelagic fish (BIAS) started 1978 (Baltic Sea only) Sampling on board commercial fishing boats in the Baltic Sea and Kattegat stareted 1996 Sampling on board commercial fishing boats in the Skagerrak started 2002 Sampling of commercial catches in ports: different starting years for different species Frequency: Trawl surveys are carried out 6-monthly and control of fisheries 3-monthly.	Offshore fish refers to those fish species that live a significant part of their lives in the open sea off the coast, such as herring, sprat and cod. The monitoring of these species and also commercial crustaceans such as crabfish, North Sea shrimp and lobster is coordinated between several countries in the Baltic Sea and the North Sea area, and takes place via acoustic methods and trawl surveys. Data are also collected by sampling on board commercial fishing boats and catches in ports. Several of the species monitored are used in commercial fishing (see programme Commercial fisheries) and all surveys described here are carried out within the framework of the data collection on fish and fisheries governed by EU legislation ((EU) 2017/1004, (EU) 2019 / 909 and (EU) 2019/910). The data collection forms the basis for the scientific basis for the EU Common Fisheries Policy (CFP) and the information is used in the work of the International Council for the Exploration of the Sea (ICES) to produce a basis for the fishing quotas decided by the EU. Data collection is also done for bycatches in the fishery, see programme Bycatch. Trawling of demersal fish in the North Sea (IBTS) started 1972 Trawling of demersal fish in the Baltic Sea (BITS) started 1978 Acoustic survey of pelagic fish (BIAS) started 1978 (Baltic Sea only) Sampling on board commercial fishing boats in the Baltic Sea and Kattegat stareted 1996 Sampling on board commercial fishing boats in the Skagerrak started 2002 Sampling of commercial catches in ports: different starting years for different species Frequency: Trawl surveys are carried out 6-monthly and control of fisheries 3-monthly.	What is currently included in the targeted monitoring is the ten-legged crustacean Nephrops norvegicus. The species is nocturnal and lives on and buried in solid clay bottoms. Along the coast of Sweden, the species occur in the Kattegat and Skagerrak. Nephrops norvegicus is an important commercial species that is fished through bottom trawling. In addition to Nephrops norvegicus, other species that live in the same habitat, such as sea pens and other coral animals, can be injured or die as a result of trawling. The purpose of monitoring Nephrops norvegicus is to map the abundance of the species in areas that are fished. This is done in a UWTV survey (Under Water TV), ie by filming the seabed with an underwater camera and counting the number of inhabited holes per unit area. During the monitoring, the effects of trawling can also be assessed. The geographical coverage of the monitoring is based on the main catchment areas and is thus expected to cover the species main distribution areas. Data collection (in accordance with EU legislation (EU) 2017/1004, (EU) 2019/909 and (EU) 2019/910) through UWTV is coordinated by ICES's working group WGNEPS between several countries in the North Sea area.	What is currently included in the targeted monitoring is the ten-legged crustacean Nephrops norvegicus. The species is nocturnal and lives on and buried in solid clay bottoms. Along the coast of Sweden, the species occur in the Kattegat and Skagerrak. Nephrops norvegicus is an important commercial species that is fished through bottom trawling. In addition to Nephrops norvegicus, other species that live in the same habitat, such as sea pens and other coral animals, can be injured or die as a result of trawling. The purpose of monitoring Nephrops norvegicus is to map the abundance of the species in areas that are fished. This is done in a UWTV survey (Under Water TV), ie by filming the seabed with an underwater camera and counting the number of inhabited holes per unit area. During the monitoring, the effects of trawling can also be assessed. The geographical coverage of the monitoring is based on the main catchment areas and is thus expected to cover the species main distribution areas. Data collection (in accordance with EU legislation (EU) 2017/1004, (EU) 2019/909 and (EU) 2019/910) through UWTV is coordinated by ICES's working group WGNEPS between several countries in the North Sea area.	What is currently included in the targeted monitoring is the ten-legged crustacean Nephrops norvegicus. The species is nocturnal and lives on and buried in solid clay bottoms. Along the coast of Sweden, the species occur in the Kattegat and Skagerrak. Nephrops norvegicus is an important commercial species that is fished through bottom trawling. In addition to Nephrops norvegicus, other species that live in the same habitat, such as sea pens and other coral animals, can be injured or die as a result of trawling. The purpose of monitoring Nephrops norvegicus is to map the abundance of the species in areas that are fished. This is done in a UWTV survey (Under Water TV), ie by filming the seabed with an underwater camera and counting the number of inhabited holes per unit area. During the monitoring, the effects of trawling can also be assessed. The geographical coverage of the monitoring is based on the main catchment areas and is thus expected to cover the species main distribution areas. Data collection (in accordance with EU legislation (EU) 2017/1004, (EU) 2019/909 and (EU) 2019/910) through UWTV is coordinated by ICES's working group WGNEPS between several countries in the North Sea area.	What is currently included in the targeted monitoring is the ten-legged crustacean Nephrops norvegicus. The species is nocturnal and lives on and buried in solid clay bottoms. Along the coast of Sweden, the species occur in the Kattegat and Skagerrak. Nephrops norvegicus is an important commercial species that is fished through bottom trawling. In addition to Nephrops norvegicus, other species that live in the same habitat, such as sea pens and other coral animals, can be injured or die as a result of trawling. The purpose of monitoring Nephrops norvegicus is to map the abundance of the species in areas that are fished. This is done in a UWTV survey (Under Water TV), ie by filming the seabed with an underwater camera and counting the number of inhabited holes per unit area. During the monitoring, the effects of trawling can also be assessed. The geographical coverage of the monitoring is based on the main catchment areas and is thus expected to cover the species main distribution areas. Data collection (in accordance with EU legislation (EU) 2017/1004, (EU) 2019/909 and (EU) 2019/910) through UWTV is coordinated by ICES's working group WGNEPS between several countries in the North Sea area.	What is currently included in the targeted monitoring is the ten-legged crustacean Nephrops norvegicus. The species is nocturnal and lives on and buried in solid clay bottoms. Along the coast of Sweden, the species occur in the Kattegat and Skagerrak. Nephrops norvegicus is an important commercial species that is fished through bottom trawling. In addition to Nephrops norvegicus, other species that live in the same habitat, such as sea pens and other coral animals, can be injured or die as a result of trawling. The purpose of monitoring Nephrops norvegicus is to map the abundance of the species in areas that are fished. This is done in a UWTV survey (Under Water TV), ie by filming the seabed with an underwater camera and counting the number of inhabited holes per unit area. During the monitoring, the effects of trawling can also be assessed. The geographical coverage of the monitoring is based on the main catchment areas and is thus expected to cover the species main distribution areas. Data collection (in accordance with EU legislation (EU) 2017/1004, (EU) 2019/909 and (EU) 2019/910) through UWTV is coordinated by ICES's working group WGNEPS between several countries in the North Sea area.	What is currently included in the targeted monitoring is the ten-legged crustacean Nephrops norvegicus. The species is nocturnal and lives on and buried in solid clay bottoms. Along the coast of Sweden, the species occur in the Kattegat and Skagerrak. Nephrops norvegicus is an important commercial species that is fished through bottom trawling. In addition to Nephrops norvegicus, other species that live in the same habitat, such as sea pens and other coral animals, can be injured or die as a result of trawling. The purpose of monitoring Nephrops norvegicus is to map the abundance of the species in areas that are fished. This is done in a UWTV survey (Under Water TV), ie by filming the seabed with an underwater camera and counting the number of inhabited holes per unit area. During the monitoring, the effects of trawling can also be assessed. The geographical coverage of the monitoring is based on the main catchment areas and is thus expected to cover the species main distribution areas. Data collection (in accordance with EU legislation (EU) 2017/1004, (EU) 2019/909 and (EU) 2019/910) through UWTV is coordinated by ICES's working group WGNEPS between several countries in the North Sea area.	What is currently included in the targeted monitoring is the ten-legged crustacean Nephrops norvegicus. The species is nocturnal and lives on and buried in solid clay bottoms. Along the coast of Sweden, the species occur in the Kattegat and Skagerrak. Nephrops norvegicus is an important commercial species that is fished through bottom trawling. In addition to Nephrops norvegicus, other species that live in the same habitat, such as sea pens and other coral animals, can be injured or die as a result of trawling. The purpose of monitoring Nephrops norvegicus is to map the abundance of the species in areas that are fished. This is done in a UWTV survey (Under Water TV), ie by filming the seabed with an underwater camera and counting the number of inhabited holes per unit area. During the monitoring, the effects of trawling can also be assessed. The geographical coverage of the monitoring is based on the main catchment areas and is thus expected to cover the species main distribution areas. Data collection (in accordance with EU legislation (EU) 2017/1004, (EU) 2019/909 and (EU) 2019/910) through UWTV is coordinated by ICES's working group WGNEPS between several countries in the North Sea area.	Seabirds are an important part of the marine ecosystem, as most species are high up in the food chain. The monitoring of breeding and wintering birds along the coast and in the offshore areas aims to follow the population development over time, which can be affected by changing conditions in the food web but also by the direct impact that arises from a number of different human activities. The status of seabirds therefore gives a general indication of the state of the ecosystem and corresponds to the cumulative impact of different pressures. Breeding and wintering birds are nationally monitored annually along the Swedish coast. Standardized inventories of wintering birds along the coast of Sweden have been ongoing annually since 1967 and are coordinated internationally within the International Waterbird Census. Breeding birds have been monitored on a large scale since 2010. At the local level, monitoring of breeding coastal birds is also carried out in a number of coastal counties, where several of the programmes are linked to the national programme. With an approximate six-year interval, inventories of wintering seabird species in the offshore areas are carried out, in order to supplement the annual inventories. These inventories are coordinated internationally and were first carried out in 1992-93. In 2020, inventories will be carried out in the offshore sea areas within the HELCOM and OSPAR regions in order to improve knowledge of the species that live there, especially hareld (Clangula hyemalis). The inventories are coordinated with other countries around the Baltic Sea and the North Sea through the working group JWGbird. Somateria mollissima (Anas molissima) is also monitored, but was not in the element list	Seabirds are an important part of the marine ecosystem, as most species are high up in the food chain. The monitoring of breeding and wintering birds along the coast and in the offshore areas aims to follow the population development over time, which can be affected by changing conditions in the food web but also by the direct impact that arises from a number of different human activities. The status of seabirds therefore gives a general indication of the state of the ecosystem and corresponds to the cumulative impact of different pressures. Breeding and wintering birds are nationally monitored annually along the Swedish coast. Standardized inventories of wintering birds along the coast of Sweden have been ongoing annually since 1967 and are coordinated internationally within the International Waterbird Census. Breeding birds have been monitored on a large scale since 2010. At the local level, monitoring of breeding coastal birds is also carried out in a number of coastal counties, where several of the programmes are linked to the national programme. With an approximate six-year interval, inventories of wintering seabird species in the offshore areas are carried out, in order to supplement the annual inventories. These inventories are coordinated internationally and were first carried out in 1992-93. In 2020, inventories will be carried out in the offshore sea areas within the HELCOM and OSPAR regions in order to improve knowledge of the species that live there, especially hareld (Clangula hyemalis). The inventories are coordinated with other countries around the Baltic Sea and the North Sea through the working group JWGbird. Somateria mollissima (Anas molissima) is also monitored, but was not in the element list	Seabirds are an important part of the marine ecosystem, as most species are high up in the food chain. The monitoring of breeding and wintering birds along the coast and in the offshore areas aims to follow the population development over time, which can be affected by changing conditions in the food web but also by the direct impact that arises from a number of different human activities. The status of seabirds therefore gives a general indication of the state of the ecosystem and corresponds to the cumulative impact of different pressures. Breeding and wintering birds are nationally monitored annually along the Swedish coast. Standardized inventories of wintering birds along the coast of Sweden have been ongoing annually since 1967 and are coordinated internationally within the International Waterbird Census. Breeding birds have been monitored on a large scale since 2010. At the local level, monitoring of breeding coastal birds is also carried out in a number of coastal counties, where several of the programmes are linked to the national programme. With an approximate six-year interval, inventories of wintering seabird species in the offshore areas are carried out, in order to supplement the annual inventories. These inventories are coordinated internationally and were first carried out in 1992-93. In 2020, inventories will be carried out in the offshore sea areas within the HELCOM and OSPAR regions in order to improve knowledge of the species that live there, especially hareld (Clangula hyemalis). The inventories are coordinated with other countries around the Baltic Sea and the North Sea through the working group JWGbird. Somateria mollissima (Anas molissima) is also monitored, but was not in the element list	Seabirds are an important part of the marine ecosystem, as most species are high up in the food chain. The monitoring of breeding and wintering birds along the coast and in the offshore areas aims to follow the population development over time, which can be affected by changing conditions in the food web but also by the direct impact that arises from a number of different human activities. The status of seabirds therefore gives a general indication of the state of the ecosystem and corresponds to the cumulative impact of different pressures. Breeding and wintering birds are nationally monitored annually along the Swedish coast. Standardized inventories of wintering birds along the coast of Sweden have been ongoing annually since 1967 and are coordinated internationally within the International Waterbird Census. Breeding birds have been monitored on a large scale since 2010. At the local level, monitoring of breeding coastal birds is also carried out in a number of coastal counties, where several of the programmes are linked to the national programme. With an approximate six-year interval, inventories of wintering seabird species in the offshore areas are carried out, in order to supplement the annual inventories. These inventories are coordinated internationally and were first carried out in 1992-93. In 2020, inventories will be carried out in the offshore sea areas within the HELCOM and OSPAR regions in order to improve knowledge of the species that live there, especially hareld (Clangula hyemalis). The inventories are coordinated with other countries around the Baltic Sea and the North Sea through the working group JWGbird. Somateria mollissima (Anas molissima) is also monitored, but was not in the element list	Seabirds are an important part of the marine ecosystem, as most species are high up in the food chain. The monitoring of breeding and wintering birds along the coast and in the offshore areas aims to follow the population development over time, which can be affected by changing conditions in the food web but also by the direct impact that arises from a number of different human activities. The status of seabirds therefore gives a general indication of the state of the ecosystem and corresponds to the cumulative impact of different pressures. Breeding and wintering birds are nationally monitored annually along the Swedish coast. Standardized inventories of wintering birds along the coast of Sweden have been ongoing annually since 1967 and are coordinated internationally within the International Waterbird Census. Breeding birds have been monitored on a large scale since 2010. At the local level, monitoring of breeding coastal birds is also carried out in a number of coastal counties, where several of the programmes are linked to the national programme. With an approximate six-year interval, inventories of wintering seabird species in the offshore areas are carried out, in order to supplement the annual inventories. These inventories are coordinated internationally and were first carried out in 1992-93. In 2020, inventories will be carried out in the offshore sea areas within the HELCOM and OSPAR regions in order to improve knowledge of the species that live there, especially hareld (Clangula hyemalis). The inventories are coordinated with other countries around the Baltic Sea and the North Sea through the working group JWGbird. Somateria mollissima (Anas molissima) is also monitored, but was not in the element list	Seabirds are an important part of the marine ecosystem, as most species are high up in the food chain. The monitoring of breeding and wintering birds along the coast and in the offshore areas aims to follow the population development over time, which can be affected by changing conditions in the food web but also by the direct impact that arises from a number of different human activities. The status of seabirds therefore gives a general indication of the state of the ecosystem and corresponds to the cumulative impact of different pressures. Breeding and wintering birds are nationally monitored annually along the Swedish coast. Standardized inventories of wintering birds along the coast of Sweden have been ongoing annually since 1967 and are coordinated internationally within the International Waterbird Census. Breeding birds have been monitored on a large scale since 2010. At the local level, monitoring of breeding coastal birds is also carried out in a number of coastal counties, where several of the programmes are linked to the national programme. With an approximate six-year interval, inventories of wintering seabird species in the offshore areas are carried out, in order to supplement the annual inventories. These inventories are coordinated internationally and were first carried out in 1992-93. In 2020, inventories will be carried out in the offshore sea areas within the HELCOM and OSPAR regions in order to improve knowledge of the species that live there, especially hareld (Clangula hyemalis). The inventories are coordinated with other countries around the Baltic Sea and the North Sea through the working group JWGbird. Somateria mollissima (Anas molissima) is also monitored, but was not in the element list	Seabirds are an important part of the marine ecosystem, as most species are high up in the food chain. The monitoring of breeding and wintering birds along the coast and in the offshore areas aims to follow the population development over time, which can be affected by changing conditions in the food web but also by the direct impact that arises from a number of different human activities. The status of seabirds therefore gives a general indication of the state of the ecosystem and corresponds to the cumulative impact of different pressures. Breeding and wintering birds are nationally monitored annually along the Swedish coast. Standardized inventories of wintering birds along the coast of Sweden have been ongoing annually since 1967 and are coordinated internationally within the International Waterbird Census. Breeding birds have been monitored on a large scale since 2010. At the local level, monitoring of breeding coastal birds is also carried out in a number of coastal counties, where several of the programmes are linked to the national programme. With an approximate six-year interval, inventories of wintering seabird species in the offshore areas are carried out, in order to supplement the annual inventories. These inventories are coordinated internationally and were first carried out in 1992-93. In 2020, inventories will be carried out in the offshore sea areas within the HELCOM and OSPAR regions in order to improve knowledge of the species that live there, especially hareld (Clangula hyemalis). The inventories are coordinated with other countries around the Baltic Sea and the North Sea through the working group JWGbird. Somateria mollissima (Anas molissima) is also monitored, but was not in the element list	Seabirds are an important part of the marine ecosystem, as most species are high up in the food chain. The monitoring of breeding and wintering birds along the coast and in the offshore areas aims to follow the population development over time, which can be affected by changing conditions in the food web but also by the direct impact that arises from a number of different human activities. The status of seabirds therefore gives a general indication of the state of the ecosystem and corresponds to the cumulative impact of different pressures. Breeding and wintering birds are nationally monitored annually along the Swedish coast. Standardized inventories of wintering birds along the coast of Sweden have been ongoing annually since 1967 and are coordinated internationally within the International Waterbird Census. Breeding birds have been monitored on a large scale since 2010. At the local level, monitoring of breeding coastal birds is also carried out in a number of coastal counties, where several of the programmes are linked to the national programme. With an approximate six-year interval, inventories of wintering seabird species in the offshore areas are carried out, in order to supplement the annual inventories. These inventories are coordinated internationally and were first carried out in 1992-93. In 2020, inventories will be carried out in the offshore sea areas within the HELCOM and OSPAR regions in order to improve knowledge of the species that live there, especially hareld (Clangula hyemalis). The inventories are coordinated with other countries around the Baltic Sea and the North Sea through the working group JWGbird. Somateria mollissima (Anas molissima) is also monitored, but was not in the element list	Seabirds are an important part of the marine ecosystem, as most species are high up in the food chain. The monitoring of breeding and wintering birds along the coast and in the offshore areas aims to follow the population development over time, which can be affected by changing conditions in the food web but also by the direct impact that arises from a number of different human activities. The status of seabirds therefore gives a general indication of the state of the ecosystem and corresponds to the cumulative impact of different pressures. Breeding and wintering birds are nationally monitored annually along the Swedish coast. Standardized inventories of wintering birds along the coast of Sweden have been ongoing annually since 1967 and are coordinated internationally within the International Waterbird Census. Breeding birds have been monitored on a large scale since 2010. At the local level, monitoring of breeding coastal birds is also carried out in a number of coastal counties, where several of the programmes are linked to the national programme. With an approximate six-year interval, inventories of wintering seabird species in the offshore areas are carried out, in order to supplement the annual inventories. These inventories are coordinated internationally and were first carried out in 1992-93. In 2020, inventories will be carried out in the offshore sea areas within the HELCOM and OSPAR regions in order to improve knowledge of the species that live there, especially hareld (Clangula hyemalis). The inventories are coordinated with other countries around the Baltic Sea and the North Sea through the working group JWGbird. Somateria mollissima (Anas molissima) is also monitored, but was not in the element list	Seabirds are an important part of the marine ecosystem, as most species are high up in the food chain. The monitoring of breeding and wintering birds along the coast and in the offshore areas aims to follow the population development over time, which can be affected by changing conditions in the food web but also by the direct impact that arises from a number of different human activities. The status of seabirds therefore gives a general indication of the state of the ecosystem and corresponds to the cumulative impact of different pressures. Breeding and wintering birds are nationally monitored annually along the Swedish coast. Standardized inventories of wintering birds along the coast of Sweden have been ongoing annually since 1967 and are coordinated internationally within the International Waterbird Census. Breeding birds have been monitored on a large scale since 2010. At the local level, monitoring of breeding coastal birds is also carried out in a number of coastal counties, where several of the programmes are linked to the national programme. With an approximate six-year interval, inventories of wintering seabird species in the offshore areas are carried out, in order to supplement the annual inventories. These inventories are coordinated internationally and were first carried out in 1992-93. In 2020, inventories will be carried out in the offshore sea areas within the HELCOM and OSPAR regions in order to improve knowledge of the species that live there, especially hareld (Clangula hyemalis). The inventories are coordinated with other countries around the Baltic Sea and the North Sea through the working group JWGbird. Somateria mollissima (Anas molissima) is also monitored, but was not in the element list	Seabirds are an important part of the marine ecosystem, as most species are high up in the food chain. The monitoring of breeding and wintering birds along the coast and in the offshore areas aims to follow the population development over time, which can be affected by changing conditions in the food web but also by the direct impact that arises from a number of different human activities. The status of seabirds therefore gives a general indication of the state of the ecosystem and corresponds to the cumulative impact of different pressures. Breeding and wintering birds are nationally monitored annually along the Swedish coast. Standardized inventories of wintering birds along the coast of Sweden have been ongoing annually since 1967 and are coordinated internationally within the International Waterbird Census. Breeding birds have been monitored on a large scale since 2010. At the local level, monitoring of breeding coastal birds is also carried out in a number of coastal counties, where several of the programmes are linked to the national programme. With an approximate six-year interval, inventories of wintering seabird species in the offshore areas are carried out, in order to supplement the annual inventories. These inventories are coordinated internationally and were first carried out in 1992-93. In 2020, inventories will be carried out in the offshore sea areas within the HELCOM and OSPAR regions in order to improve knowledge of the species that live there, especially hareld (Clangula hyemalis). The inventories are coordinated with other countries around the Baltic Sea and the North Sea through the working group JWGbird. Somateria mollissima (Anas molissima) is also monitored, but was not in the element list	Seabirds are an important part of the marine ecosystem, as most species are high up in the food chain. The monitoring of breeding and wintering birds along the coast and in the offshore areas aims to follow the population development over time, which can be affected by changing conditions in the food web but also by the direct impact that arises from a number of different human activities. The status of seabirds therefore gives a general indication of the state of the ecosystem and corresponds to the cumulative impact of different pressures. Breeding and wintering birds are nationally monitored annually along the Swedish coast. Standardized inventories of wintering birds along the coast of Sweden have been ongoing annually since 1967 and are coordinated internationally within the International Waterbird Census. Breeding birds have been monitored on a large scale since 2010. At the local level, monitoring of breeding coastal birds is also carried out in a number of coastal counties, where several of the programmes are linked to the national programme. With an approximate six-year interval, inventories of wintering seabird species in the offshore areas are carried out, in order to supplement the annual inventories. These inventories are coordinated internationally and were first carried out in 1992-93. In 2020, inventories will be carried out in the offshore sea areas within the HELCOM and OSPAR regions in order to improve knowledge of the species that live there, especially hareld (Clangula hyemalis). The inventories are coordinated with other countries around the Baltic Sea and the North Sea through the working group JWGbird. Somateria mollissima (Anas molissima) is also monitored, but was not in the element list	Seabirds are an important part of the marine ecosystem, as most species are high up in the food chain. The monitoring of breeding and wintering birds along the coast and in the offshore areas aims to follow the population development over time, which can be affected by changing conditions in the food web but also by the direct impact that arises from a number of different human activities. The status of seabirds therefore gives a general indication of the state of the ecosystem and corresponds to the cumulative impact of different pressures. Breeding and wintering birds are nationally monitored annually along the Swedish coast. Standardized inventories of wintering birds along the coast of Sweden have been ongoing annually since 1967 and are coordinated internationally within the International Waterbird Census. Breeding birds have been monitored on a large scale since 2010. At the local level, monitoring of breeding coastal birds is also carried out in a number of coastal counties, where several of the programmes are linked to the national programme. With an approximate six-year interval, inventories of wintering seabird species in the offshore areas are carried out, in order to supplement the annual inventories. These inventories are coordinated internationally and were first carried out in 1992-93. In 2020, inventories will be carried out in the offshore sea areas within the HELCOM and OSPAR regions in order to improve knowledge of the species that live there, especially hareld (Clangula hyemalis). The inventories are coordinated with other countries around the Baltic Sea and the North Sea through the working group JWGbird. Somateria mollissima (Anas molissima) is also monitored, but was not in the element list	Seabirds are an important part of the marine ecosystem, as most species are high up in the food chain. The monitoring of breeding and wintering birds along the coast and in the offshore areas aims to follow the population development over time, which can be affected by changing conditions in the food web but also by the direct impact that arises from a number of different human activities. The status of seabirds therefore gives a general indication of the state of the ecosystem and corresponds to the cumulative impact of different pressures. Breeding and wintering birds are nationally monitored annually along the Swedish coast. Standardized inventories of wintering birds along the coast of Sweden have been ongoing annually since 1967 and are coordinated internationally within the International Waterbird Census. Breeding birds have been monitored on a large scale since 2010. At the local level, monitoring of breeding coastal birds is also carried out in a number of coastal counties, where several of the programmes are linked to the national programme. With an approximate six-year interval, inventories of wintering seabird species in the offshore areas are carried out, in order to supplement the annual inventories. These inventories are coordinated internationally and were first carried out in 1992-93. In 2020, inventories will be carried out in the offshore sea areas within the HELCOM and OSPAR regions in order to improve knowledge of the species that live there, especially hareld (Clangula hyemalis). The inventories are coordinated with other countries around the Baltic Sea and the North Sea through the working group JWGbird. Somateria mollissima (Anas molissima) is also monitored, but was not in the element list	Seabirds are an important part of the marine ecosystem, as most species are high up in the food chain. The monitoring of breeding and wintering birds along the coast and in the offshore areas aims to follow the population development over time, which can be affected by changing conditions in the food web but also by the direct impact that arises from a number of different human activities. The status of seabirds therefore gives a general indication of the state of the ecosystem and corresponds to the cumulative impact of different pressures. Breeding and wintering birds are nationally monitored annually along the Swedish coast. Standardized inventories of wintering birds along the coast of Sweden have been ongoing annually since 1967 and are coordinated internationally within the International Waterbird Census. Breeding birds have been monitored on a large scale since 2010. At the local level, monitoring of breeding coastal birds is also carried out in a number of coastal counties, where several of the programmes are linked to the national programme. With an approximate six-year interval, inventories of wintering seabird species in the offshore areas are carried out, in order to supplement the annual inventories. These inventories are coordinated internationally and were first carried out in 1992-93. In 2020, inventories will be carried out in the offshore sea areas within the HELCOM and OSPAR regions in order to improve knowledge of the species that live there, especially hareld (Clangula hyemalis). The inventories are coordinated with other countries around the Baltic Sea and the North Sea through the working group JWGbird. Somateria mollissima (Anas molissima) is also monitored, but was not in the element list	Seabirds are an important part of the marine ecosystem, as most species are high up in the food chain. The monitoring of breeding and wintering birds along the coast and in the offshore areas aims to follow the population development over time, which can be affected by changing conditions in the food web but also by the direct impact that arises from a number of different human activities. The status of seabirds therefore gives a general indication of the state of the ecosystem and corresponds to the cumulative impact of different pressures. Breeding and wintering birds are nationally monitored annually along the Swedish coast. Standardized inventories of wintering birds along the coast of Sweden have been ongoing annually since 1967 and are coordinated internationally within the International Waterbird Census. Breeding birds have been monitored on a large scale since 2010. At the local level, monitoring of breeding coastal birds is also carried out in a number of coastal counties, where several of the programmes are linked to the national programme. With an approximate six-year interval, inventories of wintering seabird species in the offshore areas are carried out, in order to supplement the annual inventories. These inventories are coordinated internationally and were first carried out in 1992-93. In 2020, inventories will be carried out in the offshore sea areas within the HELCOM and OSPAR regions in order to improve knowledge of the species that live there, especially hareld (Clangula hyemalis). The inventories are coordinated with other countries around the Baltic Sea and the North Sea through the working group JWGbird. Somateria mollissima (Anas molissima) is also monitored, but was not in the element list	Seabirds are an important part of the marine ecosystem, as most species are high up in the food chain. The monitoring of breeding and wintering birds along the coast and in the offshore areas aims to follow the population development over time, which can be affected by changing conditions in the food web but also by the direct impact that arises from a number of different human activities. The status of seabirds therefore gives a general indication of the state of the ecosystem and corresponds to the cumulative impact of different pressures. Breeding and wintering birds are nationally monitored annually along the Swedish coast. Standardized inventories of wintering birds along the coast of Sweden have been ongoing annually since 1967 and are coordinated internationally within the International Waterbird Census. Breeding birds have been monitored on a large scale since 2010. At the local level, monitoring of breeding coastal birds is also carried out in a number of coastal counties, where several of the programmes are linked to the national programme. With an approximate six-year interval, inventories of wintering seabird species in the offshore areas are carried out, in order to supplement the annual inventories. These inventories are coordinated internationally and were first carried out in 1992-93. In 2020, inventories will be carried out in the offshore sea areas within the HELCOM and OSPAR regions in order to improve knowledge of the species that live there, especially hareld (Clangula hyemalis). The inventories are coordinated with other countries around the Baltic Sea and the North Sea through the working group JWGbird. Somateria mollissima (Anas molissima) is also monitored, but was not in the element list	Seabirds are an important part of the marine ecosystem, as most species are high up in the food chain. The monitoring of breeding and wintering birds along the coast and in the offshore areas aims to follow the population development over time, which can be affected by changing conditions in the food web but also by the direct impact that arises from a number of different human activities. The status of seabirds therefore gives a general indication of the state of the ecosystem and corresponds to the cumulative impact of different pressures. Breeding and wintering birds are nationally monitored annually along the Swedish coast. Standardized inventories of wintering birds along the coast of Sweden have been ongoing annually since 1967 and are coordinated internationally within the International Waterbird Census. Breeding birds have been monitored on a large scale since 2010. At the local level, monitoring of breeding coastal birds is also carried out in a number of coastal counties, where several of the programmes are linked to the national programme. With an approximate six-year interval, inventories of wintering seabird species in the offshore areas are carried out, in order to supplement the annual inventories. These inventories are coordinated internationally and were first carried out in 1992-93. In 2020, inventories will be carried out in the offshore sea areas within the HELCOM and OSPAR regions in order to improve knowledge of the species that live there, especially hareld (Clangula hyemalis). The inventories are coordinated with other countries around the Baltic Sea and the North Sea through the working group JWGbird. Somateria mollissima (Anas molissima) is also monitored, but was not in the element list	Seabirds are an important part of the marine ecosystem, as most species are high up in the food chain. The monitoring of breeding and wintering birds along the coast and in the offshore areas aims to follow the population development over time, which can be affected by changing conditions in the food web but also by the direct impact that arises from a number of different human activities. The status of seabirds therefore gives a general indication of the state of the ecosystem and corresponds to the cumulative impact of different pressures. Breeding and wintering birds are nationally monitored annually along the Swedish coast. Standardized inventories of wintering birds along the coast of Sweden have been ongoing annually since 1967 and are coordinated internationally within the International Waterbird Census. Breeding birds have been monitored on a large scale since 2010. At the local level, monitoring of breeding coastal birds is also carried out in a number of coastal counties, where several of the programmes are linked to the national programme. With an approximate six-year interval, inventories of wintering seabird species in the offshore areas are carried out, in order to supplement the annual inventories. These inventories are coordinated internationally and were first carried out in 1992-93. In 2020, inventories will be carried out in the offshore sea areas within the HELCOM and OSPAR regions in order to improve knowledge of the species that live there, especially hareld (Clangula hyemalis). The inventories are coordinated with other countries around the Baltic Sea and the North Sea through the working group JWGbird. Somateria mollissima (Anas molissima) is also monitored, but was not in the element list	Seabirds are an important part of the marine ecosystem, as most species are high up in the food chain. The monitoring of breeding and wintering birds along the coast and in the offshore areas aims to follow the population development over time, which can be affected by changing conditions in the food web but also by the direct impact that arises from a number of different human activities. The status of seabirds therefore gives a general indication of the state of the ecosystem and corresponds to the cumulative impact of different pressures. Breeding and wintering birds are nationally monitored annually along the Swedish coast. Standardized inventories of wintering birds along the coast of Sweden have been ongoing annually since 1967 and are coordinated internationally within the International Waterbird Census. Breeding birds have been monitored on a large scale since 2010. At the local level, monitoring of breeding coastal birds is also carried out in a number of coastal counties, where several of the programmes are linked to the national programme. With an approximate six-year interval, inventories of wintering seabird species in the offshore areas are carried out, in order to supplement the annual inventories. These inventories are coordinated internationally and were first carried out in 1992-93. In 2020, inventories will be carried out in the offshore sea areas within the HELCOM and OSPAR regions in order to improve knowledge of the species that live there, especially hareld (Clangula hyemalis). The inventories are coordinated with other countries around the Baltic Sea and the North Sea through the working group JWGbird. Somateria mollissima (Anas molissima) is also monitored, but was not in the element list	Seabirds are an important part of the marine ecosystem, as most species are high up in the food chain. The monitoring of breeding and wintering birds along the coast and in the offshore areas aims to follow the population development over time, which can be affected by changing conditions in the food web but also by the direct impact that arises from a number of different human activities. The status of seabirds therefore gives a general indication of the state of the ecosystem and corresponds to the cumulative impact of different pressures. Breeding and wintering birds are nationally monitored annually along the Swedish coast. Standardized inventories of wintering birds along the coast of Sweden have been ongoing annually since 1967 and are coordinated internationally within the International Waterbird Census. Breeding birds have been monitored on a large scale since 2010. At the local level, monitoring of breeding coastal birds is also carried out in a number of coastal counties, where several of the programmes are linked to the national programme. With an approximate six-year interval, inventories of wintering seabird species in the offshore areas are carried out, in order to supplement the annual inventories. These inventories are coordinated internationally and were first carried out in 1992-93. In 2020, inventories will be carried out in the offshore sea areas within the HELCOM and OSPAR regions in order to improve knowledge of the species that live there, especially hareld (Clangula hyemalis). The inventories are coordinated with other countries around the Baltic Sea and the North Sea through the working group JWGbird. Somateria mollissima (Anas molissima) is also monitored, but was not in the element list	In Sweden, there are three species of seals - grey seal (Halichoerus grypus), harbour seal (Phoca vitulina) and ringed seal (Pusa hispida). Each species have a custumized national monitoring programme for estimating the poulation abundance. The aim of monitoring the abundance and distribution of seals is to detect long-term effects of human activities affecting seals as a result of hunting, bycatch, hazardous substances and changes in the food web. Grey seal monitoring started in 1989 Harbour seal monitoring started in 1988 Ringed seal monitoring started in 1995	In Sweden, there are three species of seals - grey seal (Halichoerus grypus), harbour seal (Phoca vitulina) and ringed seal (Pusa hispida). Each species have a custumized national monitoring programme for estimating the poulation abundance. The aim of monitoring the abundance and distribution of seals is to detect long-term effects of human activities affecting seals as a result of hunting, bycatch, hazardous substances and changes in the food web. Grey seal monitoring started in 1989 Harbour seal monitoring started in 1988 Ringed seal monitoring started in 1995	In Sweden, there are three species of seals - grey seal (Halichoerus grypus), harbour seal (Phoca vitulina) and ringed seal (Pusa hispida). Each species have a custumized national monitoring programme for estimating the poulation abundance. The aim of monitoring the abundance and distribution of seals is to detect long-term effects of human activities affecting seals as a result of hunting, bycatch, hazardous substances and changes in the food web. Grey seal monitoring started in 1989 Harbour seal monitoring started in 1988 Ringed seal monitoring started in 1995	In Sweden, there are three species of seals - grey seal (Halichoerus grypus), harbour seal (Phoca vitulina) and ringed seal (Pusa hispida). Each species have a custumized national monitoring programme for estimating the poulation abundance. The aim of monitoring the abundance and distribution of seals is to detect long-term effects of human activities affecting seals as a result of hunting, bycatch, hazardous substances and changes in the food web. Grey seal monitoring started in 1989 Harbour seal monitoring started in 1988 Ringed seal monitoring started in 1995	In Sweden, there are three species of seals - grey seal (Halichoerus grypus), harbour seal (Phoca vitulina) and ringed seal (Pusa hispida). Each species have a custumized national monitoring programme for estimating the poulation abundance. The aim of monitoring the abundance and distribution of seals is to detect long-term effects of human activities affecting seals as a result of hunting, bycatch, hazardous substances and changes in the food web. Grey seal monitoring started in 1989 Harbour seal monitoring started in 1988 Ringed seal monitoring started in 1995	In Sweden, there are three species of seals - grey seal (Halichoerus grypus), harbour seal (Phoca vitulina) and ringed seal (Pusa hispida). Each species have a custumized national monitoring programme for estimating the poulation abundance. The aim of monitoring the abundance and distribution of seals is to detect long-term effects of human activities affecting seals as a result of hunting, bycatch, hazardous substances and changes in the food web. Grey seal monitoring started in 1989 Harbour seal monitoring started in 1988 Ringed seal monitoring started in 1995	Zooplankton are located between phytoplankton and fish in the food web and thus constitute an important link as they can reduce the amount of phytoplankton acting as predators and at the same time act as food for species higher up in the trophy levels such as fish. Different groups of zooplankton have different functions in the food web as some are herbivores and others carnivores. By monitoring abundance, species diversity, and the biomass of zooplankton, one can thus capture potential changes in the food web as a result of, for example, eutrophication, fishing or other human activities. Zooplankton monitoring started in the Baltic Sea in the early 1970s, but regular data is only available at data hosts from 1994. In the North Sea, regular monitoring started in 1998. Since 2007, continuous sampling of gelatinous zooplankton has been ongoing at Släggö in Gullmarsfjorden and in 2020 the monitoring was extended to other zooplankton stations.	Zooplankton are located between phytoplankton and fish in the food web and thus constitute an important link as they can reduce the amount of phytoplankton acting as predators and at the same time act as food for species higher up in the trophy levels such as fish. Different groups of zooplankton have different functions in the food web as some are herbivores and others carnivores. By monitoring abundance, species diversity, and the biomass of zooplankton, one can thus capture potential changes in the food web as a result of, for example, eutrophication, fishing or other human activities. Zooplankton monitoring started in the Baltic Sea in the early 1970s, but regular data is only available at data hosts from 1994. In the North Sea, regular monitoring started in 1998. Since 2007, continuous sampling of gelatinous zooplankton has been ongoing at Släggö in Gullmarsfjorden and in 2020 the monitoring was extended to other zooplankton stations.	Zooplankton are located between phytoplankton and fish in the food web and thus constitute an important link as they can reduce the amount of phytoplankton acting as predators and at the same time act as food for species higher up in the trophy levels such as fish. Different groups of zooplankton have different functions in the food web as some are herbivores and others carnivores. By monitoring abundance, species diversity, and the biomass of zooplankton, one can thus capture potential changes in the food web as a result of, for example, eutrophication, fishing or other human activities. Zooplankton monitoring started in the Baltic Sea in the early 1970s, but regular data is only available at data hosts from 1994. In the North Sea, regular monitoring started in 1998. Since 2007, continuous sampling of gelatinous zooplankton has been ongoing at Släggö in Gullmarsfjorden and in 2020 the monitoring was extended to other zooplankton stations.	Zooplankton are located between phytoplankton and fish in the food web and thus constitute an important link as they can reduce the amount of phytoplankton acting as predators and at the same time act as food for species higher up in the trophy levels such as fish. Different groups of zooplankton have different functions in the food web as some are herbivores and others carnivores. By monitoring abundance, species diversity, and the biomass of zooplankton, one can thus capture potential changes in the food web as a result of, for example, eutrophication, fishing or other human activities. Zooplankton monitoring started in the Baltic Sea in the early 1970s, but regular data is only available at data hosts from 1994. In the North Sea, regular monitoring started in 1998. Since 2007, continuous sampling of gelatinous zooplankton has been ongoing at Släggö in Gullmarsfjorden and in 2020 the monitoring was extended to other zooplankton stations.	The purpose of monitoring macrophytes on hard- and sedimentbottom communities are to follow longterm changes in the marine environment due to changes in water transparency, nutrient enrichment and physical disturbance, and indirect effects due to changes in foodwebs. During 2016-2019 the monitoring programme was revised. New methods for monitoring of hardbottom vegetation has started and additional areas and stations has been added the national programme. New methods for monitoring of sediment communities with vegetation/eelgrass has started and additional areas and stations has been added the national programme. Sweden is also developing integrated methods for monitoring shallow habitats using satellites or drones to supplement the current in situ monitoring. Sampling primarily every year, every other year or every third year	The purpose of monitoring macrophytes on hard- and sedimentbottom communities are to follow longterm changes in the marine environment due to changes in water transparency, nutrient enrichment and physical disturbance, and indirect effects due to changes in foodwebs. During 2016-2019 the monitoring programme was revised. New methods for monitoring of hardbottom vegetation has started and additional areas and stations has been added the national programme. New methods for monitoring of sediment communities with vegetation/eelgrass has started and additional areas and stations has been added the national programme. Sweden is also developing integrated methods for monitoring shallow habitats using satellites or drones to supplement the current in situ monitoring. Sampling primarily every year, every other year or every third year	The purpose of monitoring macrophytes on hard- and sedimentbottom communities are to follow longterm changes in the marine environment due to changes in water transparency, nutrient enrichment and physical disturbance, and indirect effects due to changes in foodwebs. During 2016-2019 the monitoring programme was revised. New methods for monitoring of hardbottom vegetation has started and additional areas and stations has been added the national programme. New methods for monitoring of sediment communities with vegetation/eelgrass has started and additional areas and stations has been added the national programme. Sweden is also developing integrated methods for monitoring shallow habitats using satellites or drones to supplement the current in situ monitoring. Sampling primarily every year, every other year or every third year	The purpose of monitoring macrophytes on hard- and sedimentbottom communities are to follow longterm changes in the marine environment due to changes in water transparency, nutrient enrichment and physical disturbance, and indirect effects due to changes in foodwebs. During 2016-2019 the monitoring programme was revised. New methods for monitoring of hardbottom vegetation has started and additional areas and stations has been added the national programme. New methods for monitoring of sediment communities with vegetation/eelgrass has started and additional areas and stations has been added the national programme. Sweden is also developing integrated methods for monitoring shallow habitats using satellites or drones to supplement the current in situ monitoring. Sampling primarily every year, every other year or every third year	The purpose of monitoring macrophytes on hard- and sedimentbottom communities are to follow longterm changes in the marine environment due to changes in water transparency, nutrient enrichment and physical disturbance, and indirect effects due to changes in foodwebs. During 2016-2019 the monitoring programme was revised. New methods for monitoring of hardbottom vegetation has started and additional areas and stations has been added the national programme. New methods for monitoring of sediment communities with vegetation/eelgrass has started and additional areas and stations has been added the national programme. Sweden is also developing integrated methods for monitoring shallow habitats using satellites or drones to supplement the current in situ monitoring. Sampling primarily every year, every other year or every third year	The purposes of monitoring phytoplankton, blooms, bacterioplankton and primary production are to follow short- and longterm effects of eutrophication, climate change and changes in foodwebs. Monitoring is conducted in both offshore and coastal areas as well as in areas with more pressures in terms of run-offs and point sources. Starting year: Regular monitoring of phytoplankton started in 1983 in the Baltic Sea and 1986 in the North Sea. Chorophyll a has been monitored since 1982. Earliest data on bacterioplankton is available from 1989 and primary production from 1979. Algae blooms has been monitored using remote sensing since 2002. Specify frequency: 1-26 times a year Algae blooms – Daily There is an ongoing work on developing improved methods and, above all, collaboration in the area of remotely analyzed chlorophyll using satellites.	The purposes of monitoring phytoplankton, blooms, bacterioplankton and primary production are to follow short- and longterm effects of eutrophication, climate change and changes in foodwebs. Monitoring is conducted in both offshore and coastal areas as well as in areas with more pressures in terms of run-offs and point sources. Starting year: Regular monitoring of phytoplankton started in 1983 in the Baltic Sea and 1986 in the North Sea. Chorophyll a has been monitored since 1982. Earliest data on bacterioplankton is available from 1989 and primary production from 1979. Algae blooms has been monitored using remote sensing since 2002. Specify frequency: 1-26 times a year Algae blooms – Daily There is an ongoing work on developing improved methods and, above all, collaboration in the area of remotely analyzed chlorophyll using satellites.	The purposes of monitoring phytoplankton, blooms, bacterioplankton and primary production are to follow short- and longterm effects of eutrophication, climate change and changes in foodwebs. Monitoring is conducted in both offshore and coastal areas as well as in areas with more pressures in terms of run-offs and point sources. Starting year: Regular monitoring of phytoplankton started in 1983 in the Baltic Sea and 1986 in the North Sea. Chorophyll a has been monitored since 1982. Earliest data on bacterioplankton is available from 1989 and primary production from 1979. Algae blooms has been monitored using remote sensing since 2002. Specify frequency: 1-26 times a year Algae blooms – Daily There is an ongoing work on developing improved methods and, above all, collaboration in the area of remotely analyzed chlorophyll using satellites.	The purposes of monitoring phytoplankton, blooms, bacterioplankton and primary production are to follow short- and longterm effects of eutrophication, climate change and changes in foodwebs. Monitoring is conducted in both offshore and coastal areas as well as in areas with more pressures in terms of run-offs and point sources. Starting year: Regular monitoring of phytoplankton started in 1983 in the Baltic Sea and 1986 in the North Sea. Chorophyll a has been monitored since 1982. Earliest data on bacterioplankton is available from 1989 and primary production from 1979. Algae blooms has been monitored using remote sensing since 2002. Specify frequency: 1-26 times a year Algae blooms – Daily There is an ongoing work on developing improved methods and, above all, collaboration in the area of remotely analyzed chlorophyll using satellites.	The purposes of monitoring phytoplankton, blooms, bacterioplankton and primary production are to follow short- and longterm effects of eutrophication, climate change and changes in foodwebs. Monitoring is conducted in both offshore and coastal areas as well as in areas with more pressures in terms of run-offs and point sources. Starting year: Regular monitoring of phytoplankton started in 1983 in the Baltic Sea and 1986 in the North Sea. Chorophyll a has been monitored since 1982. Earliest data on bacterioplankton is available from 1989 and primary production from 1979. Algae blooms has been monitored using remote sensing since 2002. Specify frequency: 1-26 times a year Algae blooms – Daily There is an ongoing work on developing improved methods and, above all, collaboration in the area of remotely analyzed chlorophyll using satellites.	The purposes of monitoring phytoplankton, blooms, bacterioplankton and primary production are to follow short- and longterm effects of eutrophication, climate change and changes in foodwebs. Monitoring is conducted in both offshore and coastal areas as well as in areas with more pressures in terms of run-offs and point sources. Starting year: Regular monitoring of phytoplankton started in 1983 in the Baltic Sea and 1986 in the North Sea. Chorophyll a has been monitored since 1982. Earliest data on bacterioplankton is available from 1989 and primary production from 1979. Algae blooms has been monitored using remote sensing since 2002. Specify frequency: 1-26 times a year Algae blooms – Daily There is an ongoing work on developing improved methods and, above all, collaboration in the area of remotely analyzed chlorophyll using satellites.	The purposes of monitoring phytoplankton, blooms, bacterioplankton and primary production are to follow short- and longterm effects of eutrophication, climate change and changes in foodwebs. Monitoring is conducted in both offshore and coastal areas as well as in areas with more pressures in terms of run-offs and point sources. Starting year: Regular monitoring of phytoplankton started in 1983 in the Baltic Sea and 1986 in the North Sea. Chorophyll a has been monitored since 1982. Earliest data on bacterioplankton is available from 1989 and primary production from 1979. Algae blooms has been monitored using remote sensing since 2002. Specify frequency: 1-26 times a year Algae blooms – Daily There is an ongoing work on developing improved methods and, above all, collaboration in the area of remotely analyzed chlorophyll using satellites.	The purposes of monitoring phytoplankton, blooms, bacterioplankton and primary production are to follow short- and longterm effects of eutrophication, climate change and changes in foodwebs. Monitoring is conducted in both offshore and coastal areas as well as in areas with more pressures in terms of run-offs and point sources. Starting year: Regular monitoring of phytoplankton started in 1983 in the Baltic Sea and 1986 in the North Sea. Chorophyll a has been monitored since 1982. Earliest data on bacterioplankton is available from 1989 and primary production from 1979. Algae blooms has been monitored using remote sensing since 2002. Specify frequency: 1-26 times a year Algae blooms – Daily There is an ongoing work on developing improved methods and, above all, collaboration in the area of remotely analyzed chlorophyll using satellites.	The purposes of monitoring phytoplankton, blooms, bacterioplankton and primary production are to follow short- and longterm effects of eutrophication, climate change and changes in foodwebs. Monitoring is conducted in both offshore and coastal areas as well as in areas with more pressures in terms of run-offs and point sources. Starting year: Regular monitoring of phytoplankton started in 1983 in the Baltic Sea and 1986 in the North Sea. Chorophyll a has been monitored since 1982. Earliest data on bacterioplankton is available from 1989 and primary production from 1979. Algae blooms has been monitored using remote sensing since 2002. Specify frequency: 1-26 times a year Algae blooms – Daily There is an ongoing work on developing improved methods and, above all, collaboration in the area of remotely analyzed chlorophyll using satellites.	Mapping and monitoring of benthic habitats is of crucial importance for all environmental management at sea, from a functioning ecosystem-based marine environment management to meeting the various requirements of environmental legislation. The need for continuous and comprehensive monitoring covering the biological components of the MSFD, the Habitats Directive and the WFD has been clarified in recent reporting cycles. Corresponding needs also exist within the national environmental goals, from the Convention on Biological Diversity and the current challenges of tackling climate change. The new objectives of the EU Biodiversity Strategy (2021-2030) require functioning monitoring systems that provide comprehensive information for protection, assessment of permits, action planning and evaluation (of protection, permit modification and implemented measures). Monitoring is needed for sustainable fisheries regulation and coastal planning linked to exploitation, as well as for the management of transport routes and energy production, and last but not least to ensure a functioning network of protected areas and a functioning beach protection. The monitoring of benthic habitats is largely dependent on technical solutions. Methods for monitoring are under development and will, together with monitoring of pressures (see program Physical disturbance and loss), provide a basis for assessing the condition of the benthic habitats and how they are affected by various human activities. The Habitats Directive's assessment in 2019 shows that physical impact on conservation status in the form of construction, ports, dredging and bottom trawling predominates in the North Sea, while water quality, hazardous substances and nutrient load instead have a greater derogatory impact on habitats in the Baltic Sea. In order to be able to respond to the requirements in an integrated manner, a development of coordinated methods is underway that can deliver the necessary data on benthic habitats. The pilot phase of a survey and monitoring of shallow marine areas using satellite, aerial and drone images and biological sampling will be completed in 2020 and the established monitoring method will be tested and fine-tuned in 2021. The studies include testing of methods from satellite to biological sampling both in the Baltic Sea and on the West Coast. The overall monitoring of shallow benthic environments strives to be able to annually measure shallow marine areas completely (all of Sweden) w	Mapping and monitoring of benthic habitats is of crucial importance for all environmental management at sea, from a functioning ecosystem-based marine environment management to meeting the various requirements of environmental legislation. The need for continuous and comprehensive monitoring covering the biological components of the MSFD, the Habitats Directive and the WFD has been clarified in recent reporting cycles. Corresponding needs also exist within the national environmental goals, from the Convention on Biological Diversity and the current challenges of tackling climate change. The new objectives of the EU Biodiversity Strategy (2021-2030) require functioning monitoring systems that provide comprehensive information for protection, assessment of permits, action planning and evaluation (of protection, permit modification and implemented measures). Monitoring is needed for sustainable fisheries regulation and coastal planning linked to exploitation, as well as for the management of transport routes and energy production, and last but not least to ensure a functioning network of protected areas and a functioning beach protection. The monitoring of benthic habitats is largely dependent on technical solutions. Methods for monitoring are under development and will, together with monitoring of pressures (see program Physical disturbance and loss), provide a basis for assessing the condition of the benthic habitats and how they are affected by various human activities. The Habitats Directive's assessment in 2019 shows that physical impact on conservation status in the form of construction, ports, dredging and bottom trawling predominates in the North Sea, while water quality, hazardous substances and nutrient load instead have a greater derogatory impact on habitats in the Baltic Sea. In order to be able to respond to the requirements in an integrated manner, a development of coordinated methods is underway that can deliver the necessary data on benthic habitats. The pilot phase of a survey and monitoring of shallow marine areas using satellite, aerial and drone images and biological sampling will be completed in 2020 and the established monitoring method will be tested and fine-tuned in 2021. The studies include testing of methods from satellite to biological sampling both in the Baltic Sea and on the West Coast. The overall monitoring of shallow benthic environments strives to be able to annually measure shallow marine areas completely (all of Sweden) w	Mapping and monitoring of benthic habitats is of crucial importance for all environmental management at sea, from a functioning ecosystem-based marine environment management to meeting the various requirements of environmental legislation. The need for continuous and comprehensive monitoring covering the biological components of the MSFD, the Habitats Directive and the WFD has been clarified in recent reporting cycles. Corresponding needs also exist within the national environmental goals, from the Convention on Biological Diversity and the current challenges of tackling climate change. The new objectives of the EU Biodiversity Strategy (2021-2030) require functioning monitoring systems that provide comprehensive information for protection, assessment of permits, action planning and evaluation (of protection, permit modification and implemented measures). Monitoring is needed for sustainable fisheries regulation and coastal planning linked to exploitation, as well as for the management of transport routes and energy production, and last but not least to ensure a functioning network of protected areas and a functioning beach protection. The monitoring of benthic habitats is largely dependent on technical solutions. Methods for monitoring are under development and will, together with monitoring of pressures (see program Physical disturbance and loss), provide a basis for assessing the condition of the benthic habitats and how they are affected by various human activities. The Habitats Directive's assessment in 2019 shows that physical impact on conservation status in the form of construction, ports, dredging and bottom trawling predominates in the North Sea, while water quality, hazardous substances and nutrient load instead have a greater derogatory impact on habitats in the Baltic Sea. In order to be able to respond to the requirements in an integrated manner, a development of coordinated methods is underway that can deliver the necessary data on benthic habitats. The pilot phase of a survey and monitoring of shallow marine areas using satellite, aerial and drone images and biological sampling will be completed in 2020 and the established monitoring method will be tested and fine-tuned in 2021. The studies include testing of methods from satellite to biological sampling both in the Baltic Sea and on the West Coast. The overall monitoring of shallow benthic environments strives to be able to annually measure shallow marine areas completely (all of Sweden) w	Mapping and monitoring of benthic habitats is of crucial importance for all environmental management at sea, from a functioning ecosystem-based marine environment management to meeting the various requirements of environmental legislation. The need for continuous and comprehensive monitoring covering the biological components of the MSFD, the Habitats Directive and the WFD has been clarified in recent reporting cycles. Corresponding needs also exist within the national environmental goals, from the Convention on Biological Diversity and the current challenges of tackling climate change. The new objectives of the EU Biodiversity Strategy (2021-2030) require functioning monitoring systems that provide comprehensive information for protection, assessment of permits, action planning and evaluation (of protection, permit modification and implemented measures). Monitoring is needed for sustainable fisheries regulation and coastal planning linked to exploitation, as well as for the management of transport routes and energy production, and last but not least to ensure a functioning network of protected areas and a functioning beach protection. The monitoring of benthic habitats is largely dependent on technical solutions. Methods for monitoring are under development and will, together with monitoring of pressures (see program Physical disturbance and loss), provide a basis for assessing the condition of the benthic habitats and how they are affected by various human activities. The Habitats Directive's assessment in 2019 shows that physical impact on conservation status in the form of construction, ports, dredging and bottom trawling predominates in the North Sea, while water quality, hazardous substances and nutrient load instead have a greater derogatory impact on habitats in the Baltic Sea. In order to be able to respond to the requirements in an integrated manner, a development of coordinated methods is underway that can deliver the necessary data on benthic habitats. The pilot phase of a survey and monitoring of shallow marine areas using satellite, aerial and drone images and biological sampling will be completed in 2020 and the established monitoring method will be tested and fine-tuned in 2021. The studies include testing of methods from satellite to biological sampling both in the Baltic Sea and on the West Coast. The overall monitoring of shallow benthic environments strives to be able to annually measure shallow marine areas completely (all of Sweden) w	Mapping and monitoring of benthic habitats is of crucial importance for all environmental management at sea, from a functioning ecosystem-based marine environment management to meeting the various requirements of environmental legislation. The need for continuous and comprehensive monitoring covering the biological components of the MSFD, the Habitats Directive and the WFD has been clarified in recent reporting cycles. Corresponding needs also exist within the national environmental goals, from the Convention on Biological Diversity and the current challenges of tackling climate change. The new objectives of the EU Biodiversity Strategy (2021-2030) require functioning monitoring systems that provide comprehensive information for protection, assessment of permits, action planning and evaluation (of protection, permit modification and implemented measures). Monitoring is needed for sustainable fisheries regulation and coastal planning linked to exploitation, as well as for the management of transport routes and energy production, and last but not least to ensure a functioning network of protected areas and a functioning beach protection. The monitoring of benthic habitats is largely dependent on technical solutions. Methods for monitoring are under development and will, together with monitoring of pressures (see program Physical disturbance and loss), provide a basis for assessing the condition of the benthic habitats and how they are affected by various human activities. The Habitats Directive's assessment in 2019 shows that physical impact on conservation status in the form of construction, ports, dredging and bottom trawling predominates in the North Sea, while water quality, hazardous substances and nutrient load instead have a greater derogatory impact on habitats in the Baltic Sea. In order to be able to respond to the requirements in an integrated manner, a development of coordinated methods is underway that can deliver the necessary data on benthic habitats. The pilot phase of a survey and monitoring of shallow marine areas using satellite, aerial and drone images and biological sampling will be completed in 2020 and the established monitoring method will be tested and fine-tuned in 2021. The studies include testing of methods from satellite to biological sampling both in the Baltic Sea and on the West Coast. The overall monitoring of shallow benthic environments strives to be able to annually measure shallow marine areas completely (all of Sweden) w	Mapping and monitoring of benthic habitats is of crucial importance for all environmental management at sea, from a functioning ecosystem-based marine environment management to meeting the various requirements of environmental legislation. The need for continuous and comprehensive monitoring covering the biological components of the MSFD, the Habitats Directive and the WFD has been clarified in recent reporting cycles. Corresponding needs also exist within the national environmental goals, from the Convention on Biological Diversity and the current challenges of tackling climate change. The new objectives of the EU Biodiversity Strategy (2021-2030) require functioning monitoring systems that provide comprehensive information for protection, assessment of permits, action planning and evaluation (of protection, permit modification and implemented measures). Monitoring is needed for sustainable fisheries regulation and coastal planning linked to exploitation, as well as for the management of transport routes and energy production, and last but not least to ensure a functioning network of protected areas and a functioning beach protection. The monitoring of benthic habitats is largely dependent on technical solutions. Methods for monitoring are under development and will, together with monitoring of pressures (see program Physical disturbance and loss), provide a basis for assessing the condition of the benthic habitats and how they are affected by various human activities. The Habitats Directive's assessment in 2019 shows that physical impact on conservation status in the form of construction, ports, dredging and bottom trawling predominates in the North Sea, while water quality, hazardous substances and nutrient load instead have a greater derogatory impact on habitats in the Baltic Sea. In order to be able to respond to the requirements in an integrated manner, a development of coordinated methods is underway that can deliver the necessary data on benthic habitats. The pilot phase of a survey and monitoring of shallow marine areas using satellite, aerial and drone images and biological sampling will be completed in 2020 and the established monitoring method will be tested and fine-tuned in 2021. The studies include testing of methods from satellite to biological sampling both in the Baltic Sea and on the West Coast. The overall monitoring of shallow benthic environments strives to be able to annually measure shallow marine areas completely (all of Sweden) w	Mapping and monitoring of benthic habitats is of crucial importance for all environmental management at sea, from a functioning ecosystem-based marine environment management to meeting the various requirements of environmental legislation. The need for continuous and comprehensive monitoring covering the biological components of the MSFD, the Habitats Directive and the WFD has been clarified in recent reporting cycles. Corresponding needs also exist within the national environmental goals, from the Convention on Biological Diversity and the current challenges of tackling climate change. The new objectives of the EU Biodiversity Strategy (2021-2030) require functioning monitoring systems that provide comprehensive information for protection, assessment of permits, action planning and evaluation (of protection, permit modification and implemented measures). Monitoring is needed for sustainable fisheries regulation and coastal planning linked to exploitation, as well as for the management of transport routes and energy production, and last but not least to ensure a functioning network of protected areas and a functioning beach protection. The monitoring of benthic habitats is largely dependent on technical solutions. Methods for monitoring are under development and will, together with monitoring of pressures (see program Physical disturbance and loss), provide a basis for assessing the condition of the benthic habitats and how they are affected by various human activities. The Habitats Directive's assessment in 2019 shows that physical impact on conservation status in the form of construction, ports, dredging and bottom trawling predominates in the North Sea, while water quality, hazardous substances and nutrient load instead have a greater derogatory impact on habitats in the Baltic Sea. In order to be able to respond to the requirements in an integrated manner, a development of coordinated methods is underway that can deliver the necessary data on benthic habitats. The pilot phase of a survey and monitoring of shallow marine areas using satellite, aerial and drone images and biological sampling will be completed in 2020 and the established monitoring method will be tested and fine-tuned in 2021. The studies include testing of methods from satellite to biological sampling both in the Baltic Sea and on the West Coast. The overall monitoring of shallow benthic environments strives to be able to annually measure shallow marine areas completely (all of Sweden) w	Mapping and monitoring of benthic habitats is of crucial importance for all environmental management at sea, from a functioning ecosystem-based marine environment management to meeting the various requirements of environmental legislation. The need for continuous and comprehensive monitoring covering the biological components of the MSFD, the Habitats Directive and the WFD has been clarified in recent reporting cycles. Corresponding needs also exist within the national environmental goals, from the Convention on Biological Diversity and the current challenges of tackling climate change. The new objectives of the EU Biodiversity Strategy (2021-2030) require functioning monitoring systems that provide comprehensive information for protection, assessment of permits, action planning and evaluation (of protection, permit modification and implemented measures). Monitoring is needed for sustainable fisheries regulation and coastal planning linked to exploitation, as well as for the management of transport routes and energy production, and last but not least to ensure a functioning network of protected areas and a functioning beach protection. The monitoring of benthic habitats is largely dependent on technical solutions. Methods for monitoring are under development and will, together with monitoring of pressures (see program Physical disturbance and loss), provide a basis for assessing the condition of the benthic habitats and how they are affected by various human activities. The Habitats Directive's assessment in 2019 shows that physical impact on conservation status in the form of construction, ports, dredging and bottom trawling predominates in the North Sea, while water quality, hazardous substances and nutrient load instead have a greater derogatory impact on habitats in the Baltic Sea. In order to be able to respond to the requirements in an integrated manner, a development of coordinated methods is underway that can deliver the necessary data on benthic habitats. The pilot phase of a survey and monitoring of shallow marine areas using satellite, aerial and drone images and biological sampling will be completed in 2020 and the established monitoring method will be tested and fine-tuned in 2021. The studies include testing of methods from satellite to biological sampling both in the Baltic Sea and on the West Coast. The overall monitoring of shallow benthic environments strives to be able to annually measure shallow marine areas completely (all of Sweden) w	Mapping and monitoring of benthic habitats is of crucial importance for all environmental management at sea, from a functioning ecosystem-based marine environment management to meeting the various requirements of environmental legislation. The need for continuous and comprehensive monitoring covering the biological components of the MSFD, the Habitats Directive and the WFD has been clarified in recent reporting cycles. Corresponding needs also exist within the national environmental goals, from the Convention on Biological Diversity and the current challenges of tackling climate change. The new objectives of the EU Biodiversity Strategy (2021-2030) require functioning monitoring systems that provide comprehensive information for protection, assessment of permits, action planning and evaluation (of protection, permit modification and implemented measures). Monitoring is needed for sustainable fisheries regulation and coastal planning linked to exploitation, as well as for the management of transport routes and energy production, and last but not least to ensure a functioning network of protected areas and a functioning beach protection. The monitoring of benthic habitats is largely dependent on technical solutions. Methods for monitoring are under development and will, together with monitoring of pressures (see program Physical disturbance and loss), provide a basis for assessing the condition of the benthic habitats and how they are affected by various human activities. The Habitats Directive's assessment in 2019 shows that physical impact on conservation status in the form of construction, ports, dredging and bottom trawling predominates in the North Sea, while water quality, hazardous substances and nutrient load instead have a greater derogatory impact on habitats in the Baltic Sea. In order to be able to respond to the requirements in an integrated manner, a development of coordinated methods is underway that can deliver the necessary data on benthic habitats. The pilot phase of a survey and monitoring of shallow marine areas using satellite, aerial and drone images and biological sampling will be completed in 2020 and the established monitoring method will be tested and fine-tuned in 2021. The studies include testing of methods from satellite to biological sampling both in the Baltic Sea and on the West Coast. The overall monitoring of shallow benthic environments strives to be able to annually measure shallow marine areas completely (all of Sweden) w	Mapping and monitoring of benthic habitats is of crucial importance for all environmental management at sea, from a functioning ecosystem-based marine environment management to meeting the various requirements of environmental legislation. The need for continuous and comprehensive monitoring covering the biological components of the MSFD, the Habitats Directive and the WFD has been clarified in recent reporting cycles. Corresponding needs also exist within the national environmental goals, from the Convention on Biological Diversity and the current challenges of tackling climate change. The new objectives of the EU Biodiversity Strategy (2021-2030) require functioning monitoring systems that provide comprehensive information for protection, assessment of permits, action planning and evaluation (of protection, permit modification and implemented measures). Monitoring is needed for sustainable fisheries regulation and coastal planning linked to exploitation, as well as for the management of transport routes and energy production, and last but not least to ensure a functioning network of protected areas and a functioning beach protection. The monitoring of benthic habitats is largely dependent on technical solutions. Methods for monitoring are under development and will, together with monitoring of pressures (see program Physical disturbance and loss), provide a basis for assessing the condition of the benthic habitats and how they are affected by various human activities. The Habitats Directive's assessment in 2019 shows that physical impact on conservation status in the form of construction, ports, dredging and bottom trawling predominates in the North Sea, while water quality, hazardous substances and nutrient load instead have a greater derogatory impact on habitats in the Baltic Sea. In order to be able to respond to the requirements in an integrated manner, a development of coordinated methods is underway that can deliver the necessary data on benthic habitats. The pilot phase of a survey and monitoring of shallow marine areas using satellite, aerial and drone images and biological sampling will be completed in 2020 and the established monitoring method will be tested and fine-tuned in 2021. The studies include testing of methods from satellite to biological sampling both in the Baltic Sea and on the West Coast. The overall monitoring of shallow benthic environments strives to be able to annually measure shallow marine areas completely (all of Sweden) w	Marine mammals are top predators in the food chain, which increases the probability of detecting changes in ecosystems and high levels of hazardous substances. Substances found in low levels in fish can be enriched and detected in high levels in seals and porpoises, which makes them suitable as indicator organisms for early detection of changes in the environment. The primary aim of the monitoring is to study the long-term effects of hazardous substances and other human activities affecting the marine environment by documenting population development for grey seals, harbor seals, ringed seals and harbor porpoises in combination with studies of cause of death, health, diseases and chemical analyzes. Marine mammals (bycatch, hunted or found dead for unknown reasons) are collected and investigated each year. Monitoring of Baltic seal healths started in 1975 and was expanded with ongoing health and disease monitoring of marine mammals in 2020. During 2020-2021, the monitoring of the effects of hazardous substances will be evaluated in order to be able to optimize the monitoring programmes both in terms of coverage and costs and to provide a better basis for state assessment and determining the causes of the effects. Comment: D8C2 was not in the list for the feature Adverse effects on species and habitats, but this criteria is relevant for this programme.	Marine mammals are top predators in the food chain, which increases the probability of detecting changes in ecosystems and high levels of hazardous substances. Substances found in low levels in fish can be enriched and detected in high levels in seals and porpoises, which makes them suitable as indicator organisms for early detection of changes in the environment. The primary aim of the monitoring is to study the long-term effects of hazardous substances and other human activities affecting the marine environment by documenting population development for grey seals, harbor seals, ringed seals and harbor porpoises in combination with studies of cause of death, health, diseases and chemical analyzes. Marine mammals (bycatch, hunted or found dead for unknown reasons) are collected and investigated each year. Monitoring of Baltic seal healths started in 1975 and was expanded with ongoing health and disease monitoring of marine mammals in 2020. During 2020-2021, the monitoring of the effects of hazardous substances will be evaluated in order to be able to optimize the monitoring programmes both in terms of coverage and costs and to provide a better basis for state assessment and determining the causes of the effects. Comment: D8C2 was not in the list for the feature Adverse effects on species and habitats, but this criteria is relevant for this programme.	Marine mammals are top predators in the food chain, which increases the probability of detecting changes in ecosystems and high levels of hazardous substances. Substances found in low levels in fish can be enriched and detected in high levels in seals and porpoises, which makes them suitable as indicator organisms for early detection of changes in the environment. The primary aim of the monitoring is to study the long-term effects of hazardous substances and other human activities affecting the marine environment by documenting population development for grey seals, harbor seals, ringed seals and harbor porpoises in combination with studies of cause of death, health, diseases and chemical analyzes. Marine mammals (bycatch, hunted or found dead for unknown reasons) are collected and investigated each year. Monitoring of Baltic seal healths started in 1975 and was expanded with ongoing health and disease monitoring of marine mammals in 2020. During 2020-2021, the monitoring of the effects of hazardous substances will be evaluated in order to be able to optimize the monitoring programmes both in terms of coverage and costs and to provide a better basis for state assessment and determining the causes of the effects. Comment: D8C2 was not in the list for the feature Adverse effects on species and habitats, but this criteria is relevant for this programme.	Marine mammals are top predators in the food chain, which increases the probability of detecting changes in ecosystems and high levels of hazardous substances. Substances found in low levels in fish can be enriched and detected in high levels in seals and porpoises, which makes them suitable as indicator organisms for early detection of changes in the environment. The primary aim of the monitoring is to study the long-term effects of hazardous substances and other human activities affecting the marine environment by documenting population development for grey seals, harbor seals, ringed seals and harbor porpoises in combination with studies of cause of death, health, diseases and chemical analyzes. Marine mammals (bycatch, hunted or found dead for unknown reasons) are collected and investigated each year. Monitoring of Baltic seal healths started in 1975 and was expanded with ongoing health and disease monitoring of marine mammals in 2020. During 2020-2021, the monitoring of the effects of hazardous substances will be evaluated in order to be able to optimize the monitoring programmes both in terms of coverage and costs and to provide a better basis for state assessment and determining the causes of the effects. Comment: D8C2 was not in the list for the feature Adverse effects on species and habitats, but this criteria is relevant for this programme.	Marine mammals are top predators in the food chain, which increases the probability of detecting changes in ecosystems and high levels of hazardous substances. Substances found in low levels in fish can be enriched and detected in high levels in seals and porpoises, which makes them suitable as indicator organisms for early detection of changes in the environment. The primary aim of the monitoring is to study the long-term effects of hazardous substances and other human activities affecting the marine environment by documenting population development for grey seals, harbor seals, ringed seals and harbor porpoises in combination with studies of cause of death, health, diseases and chemical analyzes. Marine mammals (bycatch, hunted or found dead for unknown reasons) are collected and investigated each year. Monitoring of Baltic seal healths started in 1975 and was expanded with ongoing health and disease monitoring of marine mammals in 2020. During 2020-2021, the monitoring of the effects of hazardous substances will be evaluated in order to be able to optimize the monitoring programmes both in terms of coverage and costs and to provide a better basis for state assessment and determining the causes of the effects. Comment: D8C2 was not in the list for the feature Adverse effects on species and habitats, but this criteria is relevant for this programme.	Sediment-living macrofauna have a size that is captured on a 1 mm sieve and include many different animal groups e.g. polychaetes, molluscs, echinoderms and crustaceans. The aim is to follow long-term trends in the marine environment as a result of organic loading and oxygen deficiency by documenting changes in the structure of the sediment-living macrofauna communities. Sampling primarily every year or every other year Monitoring in the Baltic Sea started 1971, and 1972 in the North Sea.	Sediment-living macrofauna have a size that is captured on a 1 mm sieve and include many different animal groups e.g. polychaetes, molluscs, echinoderms and crustaceans. The aim is to follow long-term trends in the marine environment as a result of organic loading and oxygen deficiency by documenting changes in the structure of the sediment-living macrofauna communities. Sampling primarily every year or every other year Monitoring in the Baltic Sea started 1971, and 1972 in the North Sea.	Sediment-living macrofauna have a size that is captured on a 1 mm sieve and include many different animal groups e.g. polychaetes, molluscs, echinoderms and crustaceans. The aim is to follow long-term trends in the marine environment as a result of organic loading and oxygen deficiency by documenting changes in the structure of the sediment-living macrofauna communities. Sampling primarily every year or every other year Monitoring in the Baltic Sea started 1971, and 1972 in the North Sea.	Sediment-living macrofauna have a size that is captured on a 1 mm sieve and include many different animal groups e.g. polychaetes, molluscs, echinoderms and crustaceans. The aim is to follow long-term trends in the marine environment as a result of organic loading and oxygen deficiency by documenting changes in the structure of the sediment-living macrofauna communities. Sampling primarily every year or every other year Monitoring in the Baltic Sea started 1971, and 1972 in the North Sea.	Sediment-living macrofauna have a size that is captured on a 1 mm sieve and include many different animal groups e.g. polychaetes, molluscs, echinoderms and crustaceans. The aim is to follow long-term trends in the marine environment as a result of organic loading and oxygen deficiency by documenting changes in the structure of the sediment-living macrofauna communities. Sampling primarily every year or every other year Monitoring in the Baltic Sea started 1971, and 1972 in the North Sea.	Sediment-living macrofauna have a size that is captured on a 1 mm sieve and include many different animal groups e.g. polychaetes, molluscs, echinoderms and crustaceans. The aim is to follow long-term trends in the marine environment as a result of organic loading and oxygen deficiency by documenting changes in the structure of the sediment-living macrofauna communities. Sampling primarily every year or every other year Monitoring in the Baltic Sea started 1971, and 1972 in the North Sea.	White-tailed eagles are at the top of the food chain in the Baltic Sea, which makes the species particularly exposed to hazardous substances. White-tailed eagles can show high levels of persistent organic compounds that are also enriched in their adipose tissue. The white-tailed eagle was one of the earliest animal species to signal the problems of hazardous substances in the Baltic Sea, which was expressed as a greatly reduced reproductive success. The primary purpose of the monitoring is to study effects and demonstrate long-term load changes of hazardous substances in the marine environment by documenting the reproductive capacity and population development of the white-tailed eagle population along the Swedish Baltic coast. Observed reproduction figures are compared with background levels from the time before the impact of environmental toxins. Other than the main areas that are included in national monitoring there are also monitoring in other areas based on voulontary actions, but this is mostly conducted by elderly persons, so the future of these ations are rather uncertain, therefore we only included MRU:s covered by national monitoring. During 2020-2021, the monitoring of the effects of hazardous substances will be evaluated in order to be able to optimize the monitoring programmes both in terms of coverage and costs and to provide a better basis for state assessment and determining the causes of the effects.	White-tailed eagles are at the top of the food chain in the Baltic Sea, which makes the species particularly exposed to hazardous substances. White-tailed eagles can show high levels of persistent organic compounds that are also enriched in their adipose tissue. The white-tailed eagle was one of the earliest animal species to signal the problems of hazardous substances in the Baltic Sea, which was expressed as a greatly reduced reproductive success. The primary purpose of the monitoring is to study effects and demonstrate long-term load changes of hazardous substances in the marine environment by documenting the reproductive capacity and population development of the white-tailed eagle population along the Swedish Baltic coast. Observed reproduction figures are compared with background levels from the time before the impact of environmental toxins. Other than the main areas that are included in national monitoring there are also monitoring in other areas based on voulontary actions, but this is mostly conducted by elderly persons, so the future of these ations are rather uncertain, therefore we only included MRU:s covered by national monitoring. During 2020-2021, the monitoring of the effects of hazardous substances will be evaluated in order to be able to optimize the monitoring programmes both in terms of coverage and costs and to provide a better basis for state assessment and determining the causes of the effects.
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impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Environmental state and impacts	Environmental state and impacts	Environmental state and impacts	Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Effectiveness of measures Environmental state and impacts	Environmental state and impacts	Environmental state and impacts
Other policies and conventions	Data Collection Framework Multi-Annual Plan (Common Fisheries Policy) HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Data Collection Framework Multi-Annual Plan (Common Fisheries Policy) HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Data Collection Framework Multi-Annual Plan (Common Fisheries Policy) HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Data Collection Framework Multi-Annual Plan (Common Fisheries Policy) HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Data Collection Framework Multi-Annual Plan (Common Fisheries Policy) HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Data Collection Framework Multi-Annual Plan (Common Fisheries Policy) HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Data Collection Framework Multi-Annual Plan (Common Fisheries Policy) HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Data Collection Framework Multi-Annual Plan (Common Fisheries Policy) HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Data Collection Framework Multi-Annual Plan (Common Fisheries Policy) HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Data Collection Framework Multi-Annual Plan (Common Fisheries Policy) HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Data Collection Framework Multi-Annual Plan (Common Fisheries Policy) HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Data Collection Framework Multi-Annual Plan (Common Fisheries Policy) HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Data Collection Framework Multi-Annual Plan (Common Fisheries Policy) HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Data Collection Framework Multi-Annual Plan (Common Fisheries Policy) HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Data Collection Framework Multi-Annual Plan (Common Fisheries Policy) HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Data Collection Framework Multi-Annual Plan (Common Fisheries Policy) HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Data Collection Framework Multi-Annual Plan (Common Fisheries Policy) HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Data Collection Framework Multi-Annual Plan (Common Fisheries Policy) HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Data Collection Framework Multi-Annual Plan (Common Fisheries Policy) HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Data Collection Framework Multi-Annual Plan (Common Fisheries Policy) HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Data Collection Framework Multi-Annual Plan (Common Fisheries Policy) HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Data Collection Framework Multi-Annual Plan (Common Fisheries Policy) HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Data Collection Framework Multi-Annual Plan (Common Fisheries Policy) HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Data Collection Framework Multi-Annual Plan (Common Fisheries Policy) HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Data Collection Framework Multi-Annual Plan (Common Fisheries Policy) HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Data Collection Framework Multi-Annual Plan (Common Fisheries Policy) HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Data Collection Framework Multi-Annual Plan (Common Fisheries Policy) HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Birds Directive HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Birds Directive HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Birds Directive HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Birds Directive HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Birds Directive HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Birds Directive HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Birds Directive HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Birds Directive HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Birds Directive HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Birds Directive HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Birds Directive HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Birds Directive HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Birds Directive HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Birds Directive HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Birds Directive HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Birds Directive HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Birds Directive HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Birds Directive HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Birds Directive HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Birds Directive HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	Birds Directive HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Habitats Directive Maritime Spatial Planning Directive Monitoring programme targeting at national legislation OSPAR Coordinated Environmental Monitoring Programme Water Framework Directive	HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation	HELCOM Monitoring programmes Maritime Spatial Planning Directive Monitoring programme targeting at national legislation
Regional cooperation - coordinating body	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM Other	HELCOM Other	HELCOM Other	HELCOM Other	HELCOM Other	HELCOM Other	HELCOM Other	HELCOM Other	HELCOM Other	HELCOM Other	HELCOM Other	HELCOM Other								HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	OSPAR	OSPAR	OSPAR	OSPAR	OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR											HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR	HELCOM OSPAR
Regional cooperation - countries involved																					DK	DK	DK	DK	DK	DK	DK																																																																			FI	FI
Regional cooperation - implementation level	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Joint data collection	Joint data collection	Joint data collection	Joint data collection	Joint data collection	Joint data collection	Joint data collection	Joint data collection	Joint data collection	Joint data collection	Joint data collection	Joint data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Agreed data collection methods	Agreed data collection methods	Agreed data collection methods	Agreed data collection methods	Agreed data collection methods	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection											Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection	Coordinated data collection
Monitoring details
Features	Coastal fish	Coastal fish	Coastal fish	Commercially exploited fish and shellfish	Commercially exploited fish and shellfish	Coastal ecosystems	Coastal ecosystems	Coastal ecosystems	Demersal shelf fish	Pelagic shelf fish	Demersal shelf fish	Pelagic shelf fish	Demersal shelf fish	Pelagic shelf fish	Commercially exploited fish and shellfish	Commercially exploited fish and shellfish	Commercially exploited fish and shellfish	Shelf ecosystems	Shelf ecosystems	Shelf ecosystems	Commercially exploited fish and shellfish	Commercially exploited fish and shellfish	Coastal ecosystems	Shelf ecosystems	Coastal ecosystems	Shelf ecosystems	Benthic broad habitats	Benthic-feeding birds	Grazing birds	Pelagic-feeding birds	Surface-feeding birds	Wading birds	Benthic-feeding birds	Grazing birds	Pelagic-feeding birds	Surface-feeding birds	Wading birds	Benthic-feeding birds	Grazing birds	Pelagic-feeding birds	Surface-feeding birds	Wading birds	Coastal ecosystems	Shelf ecosystems	Coastal ecosystems	Shelf ecosystems	Coastal ecosystems	Shelf ecosystems	Seals	Seals	Coastal ecosystems	Shelf ecosystems	Coastal ecosystems	Shelf ecosystems	Other pelagic habitats	Other pelagic habitats	Coastal ecosystems	Shelf ecosystems	Coastal ecosystems	Coastal ecosystems	Eutrophication	Eutrophication	Benthic broad habitats	Pelagic broad habitats	Coastal ecosystems	Shelf ecosystems	Coastal ecosystems	Shelf ecosystems	Coastal ecosystems	Shelf ecosystems	Eutrophication	Eutrophication	Coastal ecosystems	Coastal ecosystems	Benthic broad habitats	Other benthic habitats	Benthic broad habitats	Other benthic habitats	Benthic broad habitats	Other benthic habitats	Benthic broad habitats	Other benthic habitats	Small toothed cetaceans	Seals	Coastal ecosystems	Shelf ecosystems	Adverse effects on species or habitats	Coastal ecosystems	Shelf ecosystems	Coastal ecosystems	Shelf ecosystems	Eutrophication	Benthic broad habitats	Coastal ecosystems	Adverse effects on species or habitats
Elements	Alburnus alburnus Coregonus maraena Ctenolabrus rupestris Gadus morhua Gobius niger Gymnocephalus cernua Osmerus eperlanus Platichthys flesus Rutilus rutilus Sander lucioperca Scardinius erythrophthalmus Symphodus melops Zoarces viviparus	Alburnus alburnus Coregonus maraena Ctenolabrus rupestris Gadus morhua Gobius niger Gymnocephalus cernua Osmerus eperlanus Platichthys flesus Rutilus rutilus Sander lucioperca Scardinius erythrophthalmus Symphodus melops Zoarces viviparus	Alburnus alburnus Coregonus maraena Ctenolabrus rupestris Gadus morhua Gobius niger Gymnocephalus cernua Osmerus eperlanus Platichthys flesus Rutilus rutilus Sander lucioperca Scardinius erythrophthalmus Symphodus melops Zoarces viviparus	Anguilla anguilla Clupea harengus Ctenolabrus rupestris Gadus morhua Limanda limanda Melanogrammus aeglefinus Merlangius merlangus Perca fluviatilis Platichthys flesus Pleuronectes platessa Pollachius virens Rutilus rutilus Sander lucioperca Scophthalmus rhombus Solea solea Symphodus melops	Anguilla anguilla Clupea harengus Ctenolabrus rupestris Gadus morhua Limanda limanda Melanogrammus aeglefinus Merlangius merlangus Perca fluviatilis Platichthys flesus Pleuronectes platessa Pollachius virens Rutilus rutilus Sander lucioperca Scophthalmus rhombus Solea solea Symphodus melops	Fish community	Fish community	Fish community	Amblyraja radiata Anguilla anguilla Argentina silus Coryphaenoides rupestris Dicentrarchus labrax Eutrigla gurnardus Gadus morhua Glyptocephalus cynoglossus Limanda limanda Lophius piscatorius Melanogrammus aeglefinus Merlangius merlangus Merluccius merluccius Micromesistius poutassou Microstomus kitt Molva molva Phycis blennoides Platichthys flesus Pleuronectes platessa Pollachius pollachius Pollachius virens Raja clavata Scophthalmus maximus Scophthalmus rhombus Scyliorhinus canicula Solea solea (sin. vulgaris) Trachurus trachurus	Clupea harengus Cyclopterus lumpus Dicentrarchus labrax Scomber scombrus Sprattus sprattus Squalus acanthias	Amblyraja radiata Anguilla anguilla Argentina silus Coryphaenoides rupestris Dicentrarchus labrax Eutrigla gurnardus Gadus morhua Glyptocephalus cynoglossus Limanda limanda Lophius piscatorius Melanogrammus aeglefinus Merlangius merlangus Merluccius merluccius Micromesistius poutassou Microstomus kitt Molva molva Phycis blennoides Platichthys flesus Pleuronectes platessa Pollachius pollachius Pollachius virens Raja clavata Scophthalmus maximus Scophthalmus rhombus Scyliorhinus canicula Solea solea (sin. vulgaris) Trachurus trachurus	Clupea harengus Cyclopterus lumpus Dicentrarchus labrax Scomber scombrus Sprattus sprattus Squalus acanthias	Amblyraja radiata Anguilla anguilla Argentina silus Coryphaenoides rupestris Dicentrarchus labrax Eutrigla gurnardus Gadus morhua Glyptocephalus cynoglossus Limanda limanda Lophius piscatorius Melanogrammus aeglefinus Merlangius merlangus Merluccius merluccius Micromesistius poutassou Microstomus kitt Molva molva Phycis blennoides Platichthys flesus Pleuronectes platessa Pollachius pollachius Pollachius virens Raja clavata Scophthalmus maximus Scophthalmus rhombus Scyliorhinus canicula Solea solea (sin. vulgaris) Trachurus trachurus	Clupea harengus Cyclopterus lumpus Dicentrarchus labrax Scomber scombrus Sprattus sprattus Squalus acanthias	Amblyraja radiata Ammodytes spp. Anguilla anguilla Argentina silus Cancer pagurus Clupea harengus Coryphaenoides rupestris Dicentrarchus labrax Eutrigla gurnardus Gadus morhua Glyptocephalus cynoglossus Limanda limanda Lophius piscatorius Melanogrammus aeglefinus Merlangius merlangus Merluccius merluccius Micromesistius poutassou Microstomus kitt Molva molva Nephrops norvegicus Pandalus borealis Phycis blennoides Platichthys flesus Pleuronectes platessa Pollachius pollachius Pollachius virens Raja clavata Scomber scombrus Scophthalmus maximus Scophthalmus rhombus Scyliorhinus canicula Solea solea Sprattus sprattus Squalus acanthias Trachurus trachurus Trisopterus esmarkii	Amblyraja radiata Ammodytes spp. Anguilla anguilla Argentina silus Cancer pagurus Clupea harengus Coryphaenoides rupestris Dicentrarchus labrax Eutrigla gurnardus Gadus morhua Glyptocephalus cynoglossus Limanda limanda Lophius piscatorius Melanogrammus aeglefinus Merlangius merlangus Merluccius merluccius Micromesistius poutassou Microstomus kitt Molva molva Nephrops norvegicus Pandalus borealis Phycis blennoides Platichthys flesus Pleuronectes platessa Pollachius pollachius Pollachius virens Raja clavata Scomber scombrus Scophthalmus maximus Scophthalmus rhombus Scyliorhinus canicula Solea solea Sprattus sprattus Squalus acanthias Trachurus trachurus Trisopterus esmarkii	Amblyraja radiata Ammodytes spp. Anguilla anguilla Argentina silus Cancer pagurus Clupea harengus Coryphaenoides rupestris Dicentrarchus labrax Eutrigla gurnardus Gadus morhua Glyptocephalus cynoglossus Limanda limanda Lophius piscatorius Melanogrammus aeglefinus Merlangius merlangus Merluccius merluccius Micromesistius poutassou Microstomus kitt Molva molva Nephrops norvegicus Pandalus borealis Phycis blennoides Platichthys flesus Pleuronectes platessa Pollachius pollachius Pollachius virens Raja clavata Scomber scombrus Scophthalmus maximus Scophthalmus rhombus Scyliorhinus canicula Solea solea Sprattus sprattus Squalus acanthias Trachurus trachurus Trisopterus esmarkii	Fish community	Fish community	Fish community	Nephrops norvegicus	Nephrops norvegicus	Sub-apex demersal predators	Sub-apex demersal predators	Sub-apex demersal predators	Sub-apex demersal predators	Circalittoral mud Offshore circalittoral mud	Aythya ferina Aythya fuligula Aythya marila Bucephala clangula Clangula hyemalis Melanitta fusca Melanitta nigra Somateria mollissima	Anas acuta Anas clypeata Anas crecca Anas penelope Anas platyrhynchos Anas strepera Anser anser Branta canadensis Branta leucopsis Cygnus cygnus Cygnus olor Fulica atra	Alca torda Cepphus grylle Gavia arctica Gavia stellata Mergellus albellus Mergus merganser Mergus serrator Phalacrocorax aristotelis Phalacrocorax carbo Podiceps auritus Podiceps cristatus Podiceps grisegena Tachybaptus ruficollis Uria aalge	Haliaeetus albicilla Hydrocoloeus minutus Hydroprogne caspia Larus marinus Larus ridibundus Pandion haliaetus Stercorarius parasiticus Sterna albifrons Sterna hirundo Sterna paradisaea Sterna sandvicensis	Actitis hypoleucos Anthus petrosus Ardea alba Ardea cinerea Arenaria interpres Calidris alpina Calidris maritima Charadrius hiaticula Haematopus ostralegus Larus argentatus Larus canus Larus fuscus Numenius arquata Tadorna tadorna Tringa totanus Vanellus vanellus	Aythya ferina Aythya fuligula Aythya marila Bucephala clangula Clangula hyemalis Melanitta fusca Melanitta nigra Somateria mollissima	Anas acuta Anas clypeata Anas crecca Anas penelope Anas platyrhynchos Anas strepera Anser anser Branta canadensis Branta leucopsis Cygnus cygnus Cygnus olor Fulica atra	Alca torda Cepphus grylle Gavia arctica Gavia stellata Mergellus albellus Mergus merganser Mergus serrator Phalacrocorax aristotelis Phalacrocorax carbo Podiceps auritus Podiceps cristatus Podiceps grisegena Tachybaptus ruficollis Uria aalge	Haliaeetus albicilla Hydrocoloeus minutus Hydroprogne caspia Larus marinus Larus ridibundus Pandion haliaetus Stercorarius parasiticus Sterna albifrons Sterna hirundo Sterna paradisaea Sterna sandvicensis	Actitis hypoleucos Anthus petrosus Ardea alba Ardea cinerea Arenaria interpres Calidris alpina Calidris maritima Charadrius hiaticula Haematopus ostralegus Larus argentatus Larus canus Larus fuscus Numenius arquata Tadorna tadorna Tringa totanus Vanellus vanellus	Aythya ferina Aythya fuligula Aythya marila Bucephala clangula Clangula hyemalis Melanitta fusca Melanitta nigra Somateria mollissima	Anas acuta Anas clypeata Anas crecca Anas penelope Anas platyrhynchos Anas strepera Anser anser Branta canadensis Branta leucopsis Cygnus cygnus Cygnus olor Fulica atra	Alca torda Cepphus grylle Gavia arctica Gavia stellata Mergellus albellus Mergus merganser Mergus serrator Phalacrocorax aristotelis Phalacrocorax carbo Podiceps auritus Podiceps cristatus Podiceps grisegena Tachybaptus ruficollis Uria aalge	Haliaeetus albicilla Hydrocoloeus minutus Hydroprogne caspia Larus marinus Larus ridibundus Pandion haliaetus Stercorarius parasiticus Sterna albifrons Sterna hirundo Sterna paradisaea Sterna sandvicensis	Actitis hypoleucos Anthus petrosus Ardea alba Ardea cinerea Arenaria interpres Calidris alpina Calidris maritima Charadrius hiaticula Haematopus ostralegus Larus argentatus Larus canus Larus fuscus Numenius arquata Tadorna tadorna Tringa totanus Vanellus vanellus	Apex predators Secondary producers	Apex predators Secondary producers	Apex predators Secondary producers	Apex predators Secondary producers	Apex predators Secondary producers	Apex predators Secondary producers	Halichoerus grypus Phoca vitulina Pusa hispida	Halichoerus grypus Phoca vitulina Pusa hispida	Apex predators	Apex predators	Apex predators	Apex predators	Zooplankton communities	Zooplankton communities - gelatinous	Planktivores Secondary producers Sub-apex pelagic predators	Planktivores Secondary producers Sub-apex pelagic predators	Filter-feeders Primary producers	Filter-feeders Primary producers	Benthic habitats - opportunistic macroalgae	Benthic habitats - macrophyte communities	Infralittoral coarse sediment Infralittoral mud Infralittoral rock and biogenic reef Infralittoral sand	Coastal pelagic habitat Shelf pelagic habitat Variable salinity pelagic habitat	Primary producers	Primary producers	Primary producers	Primary producers	Primary producers	Primary producers	Chlorophyll-a	Cyanobacteria Diatoms & Dinoflagellates Phytoplankton communities	Filter-feeders Primary producers	Filter-feeders Primary producers	Infralittoral coarse sediment Infralittoral mud Infralittoral rock and biogenic reef Infralittoral sand	Reefs Sandbanks which are slightly covered by seawater all the time	Infralittoral coarse sediment Infralittoral mud Infralittoral rock and biogenic reef Infralittoral sand	Reefs Sandbanks which are slightly covered by seawater all the time	Infralittoral coarse sediment Infralittoral mud Infralittoral rock and biogenic reef Infralittoral sand	Reefs Sandbanks which are slightly covered by seawater all the time	Infralittoral coarse sediment Infralittoral mud Infralittoral rock and biogenic reef Infralittoral sand	Reefs Sandbanks which are slightly covered by seawater all the time	Phocoena phocoena	Halichoerus grypus Phoca vitulina Pusa hispida	Apex predators	Apex predators	Halichoerus grypus Phoca vitulina Phocoena phocoena Pusa hispida	Deposit-feeders Filter-feeders Planktivores Secondary producers Sub-apex demersal predators	Deposit-feeders Filter-feeders Planktivores Secondary producers Sub-apex demersal predators	Deposit-feeders Filter-feeders Planktivores Secondary producers Sub-apex demersal predators	Deposit-feeders Filter-feeders Planktivores Secondary producers Sub-apex demersal predators	Benthic habitats - macrobenthic communities	Circalittoral coarse sediment Circalittoral mud Circalittoral sand Infralittoral coarse sediment Infralittoral mud Infralittoral sand Offshore circalittoral coarse sediment Offshore circalittoral mud Offshore circalittoral sand	Apex predators	Haliaeetus albicilla
GES criteria	D1C2	D1C3	D1C4	D3C2	D3C3	D4C1	D4C2	D4C3	D1C2	D1C2	D1C3	D1C3	D1C4	D1C4	D3C1	D3C2	D3C3	D4C1	D4C2	D4C3	D3C2	D3C3	D4C2	D4C2	D4C3	D4C3	D6C5	D1C2	D1C2	D1C2	D1C2	D1C2	D1C3	D1C3	D1C3	D1C3	D1C3	D1C4	D1C4	D1C4	D1C4	D1C4	D4C1	D4C1	D4C2	D4C2	D4C3	D4C3	D1C2	D1C4	D4C1	D4C1	D4C2	D4C2	D1C6	D1C6	D4C2	D4C2	D4C1	D4C2	D5C6	D5C7	D6C5	D1C6	D4C1	D4C1	D4C2	D4C2	D4C4	D4C4	D5C2	D5C3	D4C1	D4C2	D6C3	D6C3	D6C4	D6C4	D6C5	D6C5	D7C2	D7C2	D1C3	D1C3	D4C4	D4C4	NotRelevan	D4C1	D4C1	D4C2	D4C2	D5C8	D6C5	D4C4	D8C2
Parameters	Abundance (number of individuals) Biomass	Age distribution Other Sex distribution	Distribution (range) Distribution (spatial)	Abundance (number of individuals) Biomass of Spawning Stock (SSB)	Length Other Size distribution	Other	Abundance (number of individuals) Biomass	Size distribution	Abundance (number of individuals) Biomass	Abundance (number of individuals) Biomass	Age distribution Length Other Sex distribution	Age distribution Length Other Sex distribution	Distribution (range)	Distribution (range)	Mortality (weight/volume; number of individuals)	Abundance (number of individuals) Biomass of Spawning Stock (SSB)	Length Size distribution	Other	Abundance (number of individuals) Biomass	Size distribution	Abundance (number of individuals)	Other Size distribution	Abundance (number of individuals)	Abundance (number of individuals)	Other Size distribution	Other Size distribution	Extent Other	Abundance (number of individuals)	Abundance (number of individuals)	Abundance (number of individuals)	Abundance (number of individuals)	Abundance (number of individuals)	Age distribution	Age distribution	Age distribution	Age distribution	Age distribution	Distribution (range)	Distribution (range)	Distribution (range)	Distribution (range)	Distribution (range)	Other	Other	Abundance (number of individuals)	Abundance (number of individuals)	Other	Other	Abundance (number of individuals) Other	Distribution (range)	Other	Other	Abundance (number of individuals) Other	Abundance (number of individuals) Other	Other	Other	Abundance (number of individuals) Biomass	Abundance (number of individuals) Biomass	Other	Abundance (number of individuals) Biomass	Abundance (number of individuals) Coverage (e.g. of a species within a habitat or area) Extent	Abundance (number of individuals) Coverage (e.g. of a species within a habitat or area) Extent	Extent Other	Extent Other Primary production	Other	Other	Abundance (number of individuals) Biomass Other	Abundance (number of individuals) Biomass Other	Primary production Productivity	Primary production Productivity	Concentration in water	Duration Extent Frequency	Other	Other	Extent Other	Extent Other	Extent Other	Extent Other	Extent Other	Extent Other	Other	Other	Age distribution Fecundity (breeding rate) Length Other	Age distribution Fecundity (breeding rate) Length Other	Other	Other	Blubber thickness Fecundity (breeding rate) Other	Other	Other	Abundance (number of individuals) Biomass	Abundance (number of individuals) Biomass	Abundance (number of individuals) Other	Extent Other	Other Productivity	Other Shell thickness
Parameter Other		Developmental state of gonads Presence of parasite			Mass	Species composition					Mass Size distribution Developmental state of gona	Mass Size distribution Developmental state of gona						Species composition				Age distribution Sex distribution			Age distribution Sex distribution	Age distribution Sex distribution	Abundance (number of individuals) Size distributio																Species composition	Species composition	Species composition	Species composition	Abundance (number of individuals) Species composit	Abundance (number of individuals) Species composit	Population growth rate (in %)		Abundance (number of individuals) Distribution (ra	Abundance (number of individuals) Distribution (ra	Population growth rate (in %)	Population growth rate (in %)	Abundance (number of individuals), Biomass, Specie	Abundance (number of individuals) Biomass Species			Species composition	Species composition	Oxygen debt	Oxygen debt	Species composition Abundance (number of individua	Species composition Cell counts Biomass Productivi	Species composition	Species composition	Cell counts	Cell counts	Species composition	Species composition			Relative abundance within community (of pelagic an	Relative abundance within community (of pelagic an	Relative abundance within community (of pelagic an	Relative abundance within community (of pelagic an	Distribution (pattern) Distribution (range) Distri	Distribution (pattern) Distribution (range) Distri	Relative abundance within community (of pelagic an	Relative abundance within community (of pelagic an	Extent Distribution (pattern) Distribution (range)	Extent Distribution (pattern) Distribution (range)	Mass Cause of death Blubber thickness Sexual matu	Mass Blubber thickness Cause of death Presence of	Fecundity (breeding rate)	Fecundity (breeding rate)	Cause of death Presence of parasites Claw lesion	Species composition	Species composition			Biomass Species composition	Abundance (number of individuals) Biomass Species	Breeding success Brood size	Productivity Breeding success Brood size
Spatial scope	Coastal waters (WFD)	Coastal waters (WFD)	Coastal waters (WFD)	Coastal waters (WFD)	Coastal waters (WFD)	Coastal waters (WFD)	Coastal waters (WFD)	Coastal waters (WFD)	Beyond MS Marine Waters Coastal waters (WFD) EEZ (or similar) Territorial waters	Beyond MS Marine Waters Coastal waters (WFD) EEZ (or similar) Territorial waters	Beyond MS Marine Waters Coastal waters (WFD) EEZ (or similar) Territorial waters	Beyond MS Marine Waters Coastal waters (WFD) EEZ (or similar) Territorial waters	Beyond MS Marine Waters Coastal waters (WFD) EEZ (or similar) Territorial waters	Beyond MS Marine Waters Coastal waters (WFD) EEZ (or similar) Territorial waters	Beyond MS Marine Waters Coastal waters (WFD) EEZ (or similar) Territorial waters	Beyond MS Marine Waters Coastal waters (WFD) EEZ (or similar) Territorial waters	Beyond MS Marine Waters Coastal waters (WFD) EEZ (or similar) Territorial waters	Beyond MS Marine Waters Coastal waters (WFD) EEZ (or similar) Territorial waters	Beyond MS Marine Waters Coastal waters (WFD) EEZ (or similar) Territorial waters	Beyond MS Marine Waters Coastal waters (WFD) EEZ (or similar) Territorial waters	Beyond MS Marine Waters EEZ (or similar) Territorial waters	Beyond MS Marine Waters EEZ (or similar) Territorial waters	Beyond MS Marine Waters EEZ (or similar) Territorial waters	Beyond MS Marine Waters EEZ (or similar) Territorial waters	Beyond MS Marine Waters EEZ (or similar) Territorial waters	Beyond MS Marine Waters EEZ (or similar) Territorial waters	Beyond MS Marine Waters EEZ (or similar) Territorial waters	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD)	Coastal waters (WFD)	Coastal waters (WFD)	Coastal waters (WFD)	Coastal waters (WFD)	Coastal waters (WFD)	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD)	Coastal waters (WFD)	Coastal waters (WFD)	Coastal waters (WFD)	Coastal waters (WFD)	Beyond MS Marine Waters Coastal waters (WFD) EEZ (or similar) Territorial waters	Beyond MS Marine Waters Coastal waters (WFD) EEZ (or similar) Territorial waters	Beyond MS Marine Waters Coastal waters (WFD) EEZ (or similar) Territorial waters	Beyond MS Marine Waters Coastal waters (WFD) EEZ (or similar) Territorial waters	Beyond MS Marine Waters Coastal waters (WFD) EEZ (or similar) Territorial waters	Beyond MS Marine Waters Coastal waters (WFD) EEZ (or similar) Territorial waters	Beyond MS Marine Waters Coastal waters (WFD) EEZ (or similar) Territorial waters	Beyond MS Marine Waters Coastal waters (WFD) EEZ (or similar) Territorial waters	Beyond MS Marine Waters Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD)	Coastal waters (WFD)	Coastal waters (WFD)	Coastal waters (WFD)	Coastal waters (WFD)	Coastal waters (WFD)	Coastal waters (WFD)	Coastal waters (WFD)	Coastal waters (WFD)	Coastal waters (WFD)	Coastal waters (WFD)	Coastal waters (WFD)	Coastal waters (WFD)	Coastal waters (WFD)	Coastal waters (WFD)	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD) EEZ (or similar) Territorial waters	Coastal waters (WFD) EEZ (or similar) Territorial waters	Terrestrial part of MS	Terrestrial part of MS
Marine reporting units	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Skagerrak	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Skagerrak	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Skagerrak	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Skagerrak	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Skagerrak	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Skagerrak	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Skagerrak	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-BG_Vasterhavet BAL-SE-AA-BG_Bottniska_Viken BAL-SE-AA-BG_Egentliga_Ostersjon	ANS-SE-AA-BG_Vasterhavet BAL-SE-AA-BG_Bottniska_Viken BAL-SE-AA-BG_Egentliga_Ostersjon	ANS-SE-AA-BG_Vasterhavet BAL-SE-AA-BG_Bottniska_Viken BAL-SE-AA-BG_Egentliga_Ostersjon	ANS-SE-AA-BG_Vasterhavet BAL-SE-AA-BG_Bottniska_Viken BAL-SE-AA-BG_Egentliga_Ostersjon	ANS-SE-AA-BG_Vasterhavet BAL-SE-AA-BG_Bottniska_Viken BAL-SE-AA-BG_Egentliga_Ostersjon	ANS-SE-AA-BG_Vasterhavet BAL-SE-AA-BG_Bottniska_Viken BAL-SE-AA-BG_Egentliga_Ostersjon	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-BG_Vasterhavet BAL-SE-AA-BG_Bottniska_Viken BAL-SE-AA-BG_Egentliga_Ostersjon	ANS-SE-AA-BG_Vasterhavet BAL-SE-AA-BG_Bottniska_Viken BAL-SE-AA-BG_Egentliga_Ostersjon	ANS-SE-AA-BG_Vasterhavet BAL-SE-AA-BG_Bottniska_Viken BAL-SE-AA-BG_Egentliga_Ostersjon	ANS-SE-AA-BG_Vasterhavet BAL-SE-AA-BG_Bottniska_Viken BAL-SE-AA-BG_Egentliga_Ostersjon	ANS-SE-AA-BG_Vasterhavet BAL-SE-AA-BG_Bottniska_Viken BAL-SE-AA-BG_Egentliga_Ostersjon	ANS-SE-AA-BG_Vasterhavet BAL-SE-AA-BG_Bottniska_Viken BAL-SE-AA-BG_Egentliga_Ostersjon	ANS-SE-AA-BG_Vasterhavet BAL-SE-AA-BG_Bottniska_Viken BAL-SE-AA-BG_Egentliga_Ostersjon	ANS-SE-AA-BG_Vasterhavet BAL-SE-AA-BG_Bottniska_Viken BAL-SE-AA-BG_Egentliga_Ostersjon	ANS-SE-AA-BG_Vasterhavet BAL-SE-AA-BG_Bottniska_Viken BAL-SE-AA-BG_Egentliga_Ostersjon	ANS-SE-AA-BG_Vasterhavet BAL-SE-AA-BG_Bottniska_Viken BAL-SE-AA-BG_Egentliga_Ostersjon	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	ANS-SE-AA-B_Kattegatt ANS-SE-AA-B_Oresund ANS-SE-AA-B_Skagerrak BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Arkonahavet_och_S_Oresund BAL-SE-AA-B_Bornholmshavet_och_Hanobukten BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_N_Kvarken BAL-SE-AA-B_O_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet	BAL-SE-AA-B_Alands_hav BAL-SE-AA-B_Bottenhavet BAL-SE-AA-B_Bottenviken BAL-SE-AA-B_N_Gotlandshavet BAL-SE-AA-B_V_Gotlandshavet
Temporal scope (start date - end date)	1960-9999	1960-9999	1960-9999	1960-9999	1960-9999	1960-9999	1960-9999	1960-9999	1972-9999	1972-9999	1972-9999	1972-9999	1972-9999	1972-9999	1972-9999	1972-9999	1972-9999	1972-9999	1972-9999	1972-9999	2011-9999	2011-9999	2011-9999	2011-9999	2011-9999	2011-9999	2011-9999	1967-9999	1967-9999	1967-9999	1967-9999	1967-9999	1967-9999	1967-9999	1967-9999	1967-9999	1967-9999	1967-9999	1967-9999	1967-9999	1967-9999	1967-9999	1967-9999	1967-9999	1967-9999	1967-9999	1967-9999	1967-9999	1988-9999	1988-9999	1988-9999	1988-9999	1988-9999	1988-9999	1994-9999	1994-9999	1994-9999	1994-9999	1993-9999	1993-9999	1993-9999	1993-9999	1993-9999	1979-9999	1979-9999	1979-9999	1979-9999	1979-9999	1979-9999	1979-9999	1979-9999	1979-9999	2022-9999	2022-9999	2022-9999	2022-9999	2022-9999	2022-9999	2022-9999	2022-9999	2022-9999	2022-9999	1975-9999	1975-9999	1975-9999	1975-9999	1975-9999	1971-9999	1971-9999	1971-9999	1971-9999	1971-9999	1971-9999	1965-9999	1965-9999
Monitoring frequency	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	2-weekly	2-weekly	2-weekly	2-weekly	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	Yearly	As needed	As needed	As needed	As needed	As needed	Other	Other	Other	Other	Other	Other	Yearly	Yearly
Monitoring type	In-situ sampling coastal	In-situ sampling coastal	In-situ sampling coastal	In-situ sampling coastal	In-situ sampling coastal	In-situ sampling coastal	In-situ sampling coastal	In-situ sampling coastal	In-situ sampling offshore	In-situ sampling offshore	In-situ sampling offshore	In-situ sampling offshore	In-situ sampling offshore	In-situ sampling offshore	In-situ sampling offshore	In-situ sampling offshore	In-situ sampling offshore	In-situ sampling offshore	In-situ sampling offshore	In-situ sampling offshore	Visual observation	Visual observation	Visual observation	Visual observation	Visual observation	Visual observation	Visual observation	Numerical modelling Visual observation	Numerical modelling Visual observation	Numerical modelling Visual observation	Numerical modelling Visual observation	Numerical modelling Visual observation	Numerical modelling Visual observation	Numerical modelling Visual observation	Numerical modelling Visual observation	Numerical modelling Visual observation	Numerical modelling Visual observation	Numerical modelling Visual observation	Numerical modelling Visual observation	Numerical modelling Visual observation	Numerical modelling Visual observation	Numerical modelling Visual observation	Numerical modelling Visual observation	Numerical modelling Visual observation	Numerical modelling Visual observation	Numerical modelling Visual observation	Numerical modelling Visual observation	Numerical modelling Visual observation	Remote flight imagery Visual observation	Remote flight imagery Visual observation	Remote flight imagery Visual observation	Remote flight imagery Visual observation	Remote flight imagery Visual observation	Remote flight imagery Visual observation	In-situ sampling coastal In-situ sampling offshore	In-situ sampling coastal In-situ sampling offshore	In-situ sampling coastal In-situ sampling offshore	In-situ sampling coastal In-situ sampling offshore	In-situ sampling coastal Visual observation	In-situ sampling coastal Visual observation	In-situ sampling coastal Visual observation	In-situ sampling coastal Visual observation	In-situ sampling coastal Visual observation	In-situ sampling coastal In-situ sampling offshore Remote satellite imagery	In-situ sampling coastal In-situ sampling offshore Remote satellite imagery	In-situ sampling coastal In-situ sampling offshore Remote satellite imagery	In-situ sampling coastal In-situ sampling offshore Remote satellite imagery	In-situ sampling coastal In-situ sampling offshore Remote satellite imagery	In-situ sampling coastal In-situ sampling offshore Remote satellite imagery	In-situ sampling coastal In-situ sampling offshore Remote satellite imagery	In-situ sampling coastal In-situ sampling offshore Remote satellite imagery	In-situ sampling coastal In-situ sampling offshore Remote satellite imagery	Ecological modelling In-situ sampling coastal Numerical modelling Remote flight imagery Remote satellite imagery	Ecological modelling In-situ sampling coastal Numerical modelling Remote flight imagery Remote satellite imagery	Ecological modelling In-situ sampling coastal Numerical modelling Remote flight imagery Remote satellite imagery	Ecological modelling In-situ sampling coastal Numerical modelling Remote flight imagery Remote satellite imagery	Ecological modelling In-situ sampling coastal Numerical modelling Remote flight imagery Remote satellite imagery	Ecological modelling In-situ sampling coastal Numerical modelling Remote flight imagery Remote satellite imagery	Ecological modelling In-situ sampling coastal Numerical modelling Remote flight imagery Remote satellite imagery	Ecological modelling In-situ sampling coastal Numerical modelling Remote flight imagery Remote satellite imagery	Ecological modelling In-situ sampling coastal Numerical modelling Remote flight imagery Remote satellite imagery	Ecological modelling In-situ sampling coastal Numerical modelling Remote flight imagery Remote satellite imagery	In-situ sampling coastal	In-situ sampling coastal	In-situ sampling coastal	In-situ sampling coastal	In-situ sampling coastal	In-situ sampling coastal In-situ sampling offshore	In-situ sampling coastal In-situ sampling offshore	In-situ sampling coastal In-situ sampling offshore	In-situ sampling coastal In-situ sampling offshore	In-situ sampling coastal In-situ sampling offshore	In-situ sampling coastal In-situ sampling offshore	In-situ sampling land/beach Remote flight imagery	In-situ sampling land/beach Remote flight imagery
Monitoring method	HELCOM Guidelines for coastal fish monitoring Other monitoring method	HELCOM Guidelines for coastal fish monitoring Other monitoring method	HELCOM Guidelines for coastal fish monitoring Other monitoring method	HELCOM Guidelines for coastal fish monitoring Other monitoring method	HELCOM Guidelines for coastal fish monitoring Other monitoring method	HELCOM Guidelines for coastal fish monitoring Other monitoring method	HELCOM Guidelines for coastal fish monitoring Other monitoring method	HELCOM Guidelines for coastal fish monitoring Other monitoring method	Other monitoring method SISP 10 - Manual for the International Bottom Trawl Surveys, Revision IX SISP 7 - BITS Manual for the Baltic International Trawl Surveys	Other monitoring method SISP 10 - Manual for the International Bottom Trawl Surveys, Revision IX SISP 7 - BITS Manual for the Baltic International Trawl Surveys	Other monitoring method SISP 10 - Manual for the International Bottom Trawl Surveys, Revision IX SISP 7 - BITS Manual for the Baltic International Trawl Surveys	Other monitoring method SISP 10 - Manual for the International Bottom Trawl Surveys, Revision IX SISP 7 - BITS Manual for the Baltic International Trawl Surveys	Other monitoring method SISP 10 - Manual for the International Bottom Trawl Surveys, Revision IX SISP 7 - BITS Manual for the Baltic International Trawl Surveys	Other monitoring method SISP 10 - Manual for the International Bottom Trawl Surveys, Revision IX SISP 7 - BITS Manual for the Baltic International Trawl Surveys	Other monitoring method SISP 10 - Manual for the International Bottom Trawl Surveys, Revision IX SISP 7 - BITS Manual for the Baltic International Trawl Surveys	Other monitoring method SISP 10 - Manual for the International Bottom Trawl Surveys, Revision IX SISP 7 - BITS Manual for the Baltic International Trawl Surveys	Other monitoring method SISP 10 - Manual for the International Bottom Trawl Surveys, Revision IX SISP 7 - BITS Manual for the Baltic International Trawl Surveys	Other monitoring method SISP 10 - Manual for the International Bottom Trawl Surveys, Revision IX SISP 7 - BITS Manual for the Baltic International Trawl Surveys	Other monitoring method SISP 10 - Manual for the International Bottom Trawl Surveys, Revision IX SISP 7 - BITS Manual for the Baltic International Trawl Surveys	Other monitoring method SISP 10 - Manual for the International Bottom Trawl Surveys, Revision IX SISP 7 - BITS Manual for the Baltic International Trawl Surveys	Other monitoring method	Other monitoring method	Other monitoring method	Other monitoring method	Other monitoring method	Other monitoring method	Other monitoring method	HELCOM Guidelines for coordinated monitoring of wintering birds OSPAR CEMP Guideline: Common Indicator - Marine Bird Abundance (B1) (Agreement 2016-09) Other monitoring method	HELCOM Guidelines for coordinated monitoring of wintering birds OSPAR CEMP Guideline: Common Indicator - Marine Bird Abundance (B1) (Agreement 2016-09) Other monitoring method	HELCOM Guidelines for coordinated monitoring of wintering birds OSPAR CEMP Guideline: Common Indicator - Marine Bird Abundance (B1) (Agreement 2016-09) Other monitoring method	HELCOM Guidelines for coordinated monitoring of wintering birds OSPAR CEMP Guideline: Common Indicator - Marine Bird Abundance (B1) (Agreement 2016-09) Other monitoring method	HELCOM Guidelines for coordinated monitoring of wintering birds OSPAR CEMP Guideline: Common Indicator - Marine Bird Abundance (B1) (Agreement 2016-09) Other monitoring method	HELCOM Guidelines for coordinated monitoring of wintering birds OSPAR CEMP Guideline: Common Indicator - Marine Bird Abundance (B1) (Agreement 2016-09) Other monitoring method	HELCOM Guidelines for coordinated monitoring of wintering birds OSPAR CEMP Guideline: Common Indicator - Marine Bird Abundance (B1) (Agreement 2016-09) Other monitoring method	HELCOM Guidelines for coordinated monitoring of wintering birds OSPAR CEMP Guideline: Common Indicator - Marine Bird Abundance (B1) (Agreement 2016-09) Other monitoring method	HELCOM Guidelines for coordinated monitoring of wintering birds OSPAR CEMP Guideline: Common Indicator - Marine Bird Abundance (B1) (Agreement 2016-09) Other monitoring method	HELCOM Guidelines for coordinated monitoring of wintering birds OSPAR CEMP Guideline: Common Indicator - Marine Bird Abundance (B1) (Agreement 2016-09) Other monitoring method	HELCOM Guidelines for coordinated monitoring of wintering birds OSPAR CEMP Guideline: Common Indicator - Marine Bird Abundance (B1) (Agreement 2016-09) Other monitoring method	HELCOM Guidelines for coordinated monitoring of wintering birds OSPAR CEMP Guideline: Common Indicator - Marine Bird Abundance (B1) (Agreement 2016-09) Other monitoring method	HELCOM Guidelines for coordinated monitoring of wintering birds OSPAR CEMP Guideline: Common Indicator - Marine Bird Abundance (B1) (Agreement 2016-09) Other monitoring method	HELCOM Guidelines for coordinated monitoring of wintering birds OSPAR CEMP Guideline: Common Indicator - Marine Bird Abundance (B1) (Agreement 2016-09) Other monitoring method	HELCOM Guidelines for coordinated monitoring of wintering birds OSPAR CEMP Guideline: Common Indicator - Marine Bird Abundance (B1) (Agreement 2016-09) Other monitoring method	HELCOM Guidelines for coordinated monitoring of wintering birds OSPAR CEMP Guideline: Common Indicator - Marine Bird Abundance (B1) (Agreement 2016-09) Other monitoring method	HELCOM Guidelines for coordinated monitoring of wintering birds OSPAR CEMP Guideline: Common Indicator - Marine Bird Abundance (B1) (Agreement 2016-09) Other monitoring method	HELCOM Guidelines for coordinated monitoring of wintering birds OSPAR CEMP Guideline: Common Indicator - Marine Bird Abundance (B1) (Agreement 2016-09) Other monitoring method	HELCOM Guidelines for coordinated monitoring of wintering birds OSPAR CEMP Guideline: Common Indicator - Marine Bird Abundance (B1) (Agreement 2016-09) Other monitoring method	HELCOM Guidelines for coordinated monitoring of wintering birds OSPAR CEMP Guideline: Common Indicator - Marine Bird Abundance (B1) (Agreement 2016-09) Other monitoring method	HELCOM Guidelines for coordinated monitoring of wintering birds OSPAR CEMP Guideline: Common Indicator - Marine Bird Abundance (B1) (Agreement 2016-09) Other monitoring method	HELCOM Guidelines for monitoring seal abundance and distribution in the HELCOM area HELCOM guideline for Seal Abundance Monitoring OSPAR CEMP Guideline: Common Indicator - Seal Abundance and Distribution (M3) (Agreement 2016-11) Other monitoring method	HELCOM Guidelines for monitoring seal abundance and distribution in the HELCOM area HELCOM guideline for Seal Abundance Monitoring OSPAR CEMP Guideline: Common Indicator - Seal Abundance and Distribution (M3) (Agreement 2016-11) Other monitoring method	HELCOM Guidelines for monitoring seal abundance and distribution in the HELCOM area HELCOM guideline for Seal Abundance Monitoring OSPAR CEMP Guideline: Common Indicator - Seal Abundance and Distribution (M3) (Agreement 2016-11) Other monitoring method	HELCOM Guidelines for monitoring seal abundance and distribution in the HELCOM area HELCOM guideline for Seal Abundance Monitoring OSPAR CEMP Guideline: Common Indicator - Seal Abundance and Distribution (M3) (Agreement 2016-11) Other monitoring method	HELCOM Guidelines for monitoring seal abundance and distribution in the HELCOM area HELCOM guideline for Seal Abundance Monitoring OSPAR CEMP Guideline: Common Indicator - Seal Abundance and Distribution (M3) (Agreement 2016-11) Other monitoring method	HELCOM Guidelines for monitoring seal abundance and distribution in the HELCOM area HELCOM guideline for Seal Abundance Monitoring OSPAR CEMP Guideline: Common Indicator - Seal Abundance and Distribution (M3) (Agreement 2016-11) Other monitoring method	HELCOM Guidelines for monitoring of mesozooplankton OSPAR CEMP Guideline: Common Indicator: PH1/FW5 Plankton lifeforms (Agreement 2018-07) Other monitoring method	HELCOM Guidelines for monitoring of mesozooplankton OSPAR CEMP Guideline: Common Indicator: PH1/FW5 Plankton lifeforms (Agreement 2018-07) Other monitoring method	HELCOM Guidelines for monitoring of mesozooplankton OSPAR CEMP Guideline: Common Indicator: PH1/FW5 Plankton lifeforms (Agreement 2018-07) Other monitoring method	HELCOM Guidelines for monitoring of mesozooplankton OSPAR CEMP Guideline: Common Indicator: PH1/FW5 Plankton lifeforms (Agreement 2018-07) Other monitoring method	OSPAR JAMP Eutrophication Monitoring Guidelines: Benthos (Agreement 2012-12) (Replaces Agreement 1997-06) Other monitoring method	OSPAR JAMP Eutrophication Monitoring Guidelines: Benthos (Agreement 2012-12) (Replaces Agreement 1997-06) Other monitoring method	OSPAR JAMP Eutrophication Monitoring Guidelines: Benthos (Agreement 2012-12) (Replaces Agreement 1997-06) Other monitoring method	OSPAR JAMP Eutrophication Monitoring Guidelines: Benthos (Agreement 2012-12) (Replaces Agreement 1997-06) Other monitoring method	OSPAR JAMP Eutrophication Monitoring Guidelines: Benthos (Agreement 2012-12) (Replaces Agreement 1997-06) Other monitoring method	HELCOM Guidelines for measuring chlorophyll a HELCOM Guidelines for monitoring phytoplankton species composition, abundance and biomass OSPAR CEMP Eutrophication Monitoring Guidelines: Phytoplankton Species Composition (Agreement 2016-06) OSPAR CEMP Guideline: Common Indicator: PH1/FW5 Plankton lifeforms (Agreement 2018-07) OSPAR JAMP Eutrophication Monitoring Guidelines: Chlorophyll a in Water (Agreement 2012-11) (Replaces Agreement 1997-04) Other monitoring method	HELCOM Guidelines for measuring chlorophyll a HELCOM Guidelines for monitoring phytoplankton species composition, abundance and biomass OSPAR CEMP Eutrophication Monitoring Guidelines: Phytoplankton Species Composition (Agreement 2016-06) OSPAR CEMP Guideline: Common Indicator: PH1/FW5 Plankton lifeforms (Agreement 2018-07) OSPAR JAMP Eutrophication Monitoring Guidelines: Chlorophyll a in Water (Agreement 2012-11) (Replaces Agreement 1997-04) Other monitoring method	HELCOM Guidelines for measuring chlorophyll a HELCOM Guidelines for monitoring phytoplankton species composition, abundance and biomass OSPAR CEMP Eutrophication Monitoring Guidelines: Phytoplankton Species Composition (Agreement 2016-06) OSPAR CEMP Guideline: Common Indicator: PH1/FW5 Plankton lifeforms (Agreement 2018-07) OSPAR JAMP Eutrophication Monitoring Guidelines: Chlorophyll a in Water (Agreement 2012-11) (Replaces Agreement 1997-04) Other monitoring method	HELCOM Guidelines for measuring chlorophyll a HELCOM Guidelines for monitoring phytoplankton species composition, abundance and biomass OSPAR CEMP Eutrophication Monitoring Guidelines: Phytoplankton Species Composition (Agreement 2016-06) OSPAR CEMP Guideline: Common Indicator: PH1/FW5 Plankton lifeforms (Agreement 2018-07) OSPAR JAMP Eutrophication Monitoring Guidelines: Chlorophyll a in Water (Agreement 2012-11) (Replaces Agreement 1997-04) Other monitoring method	HELCOM Guidelines for measuring chlorophyll a HELCOM Guidelines for monitoring phytoplankton species composition, abundance and biomass OSPAR CEMP Eutrophication Monitoring Guidelines: Phytoplankton Species Composition (Agreement 2016-06) OSPAR CEMP Guideline: Common Indicator: PH1/FW5 Plankton lifeforms (Agreement 2018-07) OSPAR JAMP Eutrophication Monitoring Guidelines: Chlorophyll a in Water (Agreement 2012-11) (Replaces Agreement 1997-04) Other monitoring method	HELCOM Guidelines for measuring chlorophyll a HELCOM Guidelines for monitoring phytoplankton species composition, abundance and biomass OSPAR CEMP Eutrophication Monitoring Guidelines: Phytoplankton Species Composition (Agreement 2016-06) OSPAR CEMP Guideline: Common Indicator: PH1/FW5 Plankton lifeforms (Agreement 2018-07) OSPAR JAMP Eutrophication Monitoring Guidelines: Chlorophyll a in Water (Agreement 2012-11) (Replaces Agreement 1997-04) Other monitoring method	HELCOM Guidelines for measuring chlorophyll a HELCOM Guidelines for monitoring phytoplankton species composition, abundance and biomass OSPAR CEMP Eutrophication Monitoring Guidelines: Phytoplankton Species Composition (Agreement 2016-06) OSPAR CEMP Guideline: Common Indicator: PH1/FW5 Plankton lifeforms (Agreement 2018-07) OSPAR JAMP Eutrophication Monitoring Guidelines: Chlorophyll a in Water (Agreement 2012-11) (Replaces Agreement 1997-04) Other monitoring method	HELCOM Guidelines for measuring chlorophyll a HELCOM Guidelines for monitoring phytoplankton species composition, abundance and biomass OSPAR CEMP Eutrophication Monitoring Guidelines: Phytoplankton Species Composition (Agreement 2016-06) OSPAR CEMP Guideline: Common Indicator: PH1/FW5 Plankton lifeforms (Agreement 2018-07) OSPAR JAMP Eutrophication Monitoring Guidelines: Chlorophyll a in Water (Agreement 2012-11) (Replaces Agreement 1997-04) Other monitoring method	HELCOM Guidelines for measuring chlorophyll a HELCOM Guidelines for monitoring phytoplankton species composition, abundance and biomass OSPAR CEMP Eutrophication Monitoring Guidelines: Phytoplankton Species Composition (Agreement 2016-06) OSPAR CEMP Guideline: Common Indicator: PH1/FW5 Plankton lifeforms (Agreement 2018-07) OSPAR JAMP Eutrophication Monitoring Guidelines: Chlorophyll a in Water (Agreement 2012-11) (Replaces Agreement 1997-04) Other monitoring method	Other monitoring method	Other monitoring method	Other monitoring method	Other monitoring method	Other monitoring method	Other monitoring method	Other monitoring method	Other monitoring method	Other monitoring method	Other monitoring method	HELCOM Guidelines for monitoring reproductive status of seals in the HELCOM area Other monitoring method	HELCOM Guidelines for monitoring reproductive status of seals in the HELCOM area Other monitoring method	HELCOM Guidelines for monitoring reproductive status of seals in the HELCOM area Other monitoring method	HELCOM Guidelines for monitoring reproductive status of seals in the HELCOM area Other monitoring method	HELCOM Guidelines for monitoring reproductive status of seals in the HELCOM area Other monitoring method	HELCOM Manual for monitoring in COMBINE programme OSPAR JAMP Eutrophication Monitoring Guidelines: Benthos (Agreement 2012-12) (Replaces Agreement 1997-06) Other monitoring method	HELCOM Manual for monitoring in COMBINE programme OSPAR JAMP Eutrophication Monitoring Guidelines: Benthos (Agreement 2012-12) (Replaces Agreement 1997-06) Other monitoring method	HELCOM Manual for monitoring in COMBINE programme OSPAR JAMP Eutrophication Monitoring Guidelines: Benthos (Agreement 2012-12) (Replaces Agreement 1997-06) Other monitoring method	HELCOM Manual for monitoring in COMBINE programme OSPAR JAMP Eutrophication Monitoring Guidelines: Benthos (Agreement 2012-12) (Replaces Agreement 1997-06) Other monitoring method	HELCOM Manual for monitoring in COMBINE programme OSPAR JAMP Eutrophication Monitoring Guidelines: Benthos (Agreement 2012-12) (Replaces Agreement 1997-06) Other monitoring method	HELCOM Manual for monitoring in COMBINE programme OSPAR JAMP Eutrophication Monitoring Guidelines: Benthos (Agreement 2012-12) (Replaces Agreement 1997-06) Other monitoring method	Other monitoring method	Other monitoring method
Monitoring method other	"https://www.havochvatten.se/hav/vagledning--lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/provfiske-i-ostersjons-kustomraden---djupstratifierat-provfiske-med-nordiska-kustoversiktsnat.html https://www.havochvatten.se/hav/vagledning--lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/provfiske-med-kustoversiktsnat-natlankar-och-ryssjor-pa-kustnara-grunt-vatten.html Monitoring of vendace, which resides in the free water column are done with special sonar (vendace survey). These register the amount of fish on a predetermined distance. Trawl hauls are carried out at regular intervals to estimate the size composition. In addition to this, vendace is also sampled through on-board and harbor sampling in commercial fishing. This sampling is described in more detail in programmes Offshore fish and By-catch (for non-target species)."	"https://www.havochvatten.se/hav/vagledning--lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/provfiske-i-ostersjons-kustomraden---djupstratifierat-provfiske-med-nordiska-kustoversiktsnat.html https://www.havochvatten.se/hav/vagledning--lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/provfiske-med-kustoversiktsnat-natlankar-och-ryssjor-pa-kustnara-grunt-vatten.html Monitoring of vendace, which resides in the free water column are done with special sonar (vendace survey). These register the amount of fish on a predetermined distance. Trawl hauls are carried out at regular intervals to estimate the size composition. In addition to this, vendace is also sampled through on-board and harbor sampling in commercial fishing. This sampling is described in more detail in programmes Offshore fish and By-catch (for non-target species)."	"https://www.havochvatten.se/hav/vagledning--lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/provfiske-i-ostersjons-kustomraden---djupstratifierat-provfiske-med-nordiska-kustoversiktsnat.html https://www.havochvatten.se/hav/vagledning--lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/provfiske-med-kustoversiktsnat-natlankar-och-ryssjor-pa-kustnara-grunt-vatten.html Monitoring of vendace, which resides in the free water column are done with special sonar (vendace survey). These register the amount of fish on a predetermined distance. Trawl hauls are carried out at regular intervals to estimate the size composition. In addition to this, vendace is also sampled through on-board and harbor sampling in commercial fishing. This sampling is described in more detail in programmes Offshore fish and By-catch (for non-target species)."	"https://www.havochvatten.se/hav/vagledning--lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/provfiske-i-ostersjons-kustomraden---djupstratifierat-provfiske-med-nordiska-kustoversiktsnat.html https://www.havochvatten.se/hav/vagledning--lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/provfiske-med-kustoversiktsnat-natlankar-och-ryssjor-pa-kustnara-grunt-vatten.html Monitoring of vendace, which resides in the free water column are done with special sonar (vendace survey). These register the amount of fish on a predetermined distance. Trawl hauls are carried out at regular intervals to estimate the size composition. In addition to this, vendace is also sampled through on-board and harbor sampling in commercial fishing. This sampling is described in more detail in programmes Offshore fish and By-catch (for non-target species)."	"https://www.havochvatten.se/hav/vagledning--lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/provfiske-i-ostersjons-kustomraden---djupstratifierat-provfiske-med-nordiska-kustoversiktsnat.html https://www.havochvatten.se/hav/vagledning--lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/provfiske-med-kustoversiktsnat-natlankar-och-ryssjor-pa-kustnara-grunt-vatten.html Monitoring of vendace, which resides in the free water column are done with special sonar (vendace survey). These register the amount of fish on a predetermined distance. Trawl hauls are carried out at regular intervals to estimate the size composition. In addition to this, vendace is also sampled through on-board and harbor sampling in commercial fishing. This sampling is described in more detail in programmes Offshore fish and By-catch (for non-target species)."	"https://www.havochvatten.se/hav/vagledning--lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/provfiske-i-ostersjons-kustomraden---djupstratifierat-provfiske-med-nordiska-kustoversiktsnat.html https://www.havochvatten.se/hav/vagledning--lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/provfiske-med-kustoversiktsnat-natlankar-och-ryssjor-pa-kustnara-grunt-vatten.html Monitoring of vendace, which resides in the free water column are done with special sonar (vendace survey). These register the amount of fish on a predetermined distance. Trawl hauls are carried out at regular intervals to estimate the size composition. In addition to this, vendace is also sampled through on-board and harbor sampling in commercial fishing. This sampling is described in more detail in programmes Offshore fish and By-catch (for non-target species)."	"https://www.havochvatten.se/hav/vagledning--lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/provfiske-i-ostersjons-kustomraden---djupstratifierat-provfiske-med-nordiska-kustoversiktsnat.html https://www.havochvatten.se/hav/vagledning--lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/provfiske-med-kustoversiktsnat-natlankar-och-ryssjor-pa-kustnara-grunt-vatten.html Monitoring of vendace, which resides in the free water column are done with special sonar (vendace survey). These register the amount of fish on a predetermined distance. Trawl hauls are carried out at regular intervals to estimate the size composition. In addition to this, vendace is also sampled through on-board and harbor sampling in commercial fishing. This sampling is described in more detail in programmes Offshore fish and By-catch (for non-target species)."	"https://www.havochvatten.se/hav/vagledning--lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/provfiske-i-ostersjons-kustomraden---djupstratifierat-provfiske-med-nordiska-kustoversiktsnat.html https://www.havochvatten.se/hav/vagledning--lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/provfiske-med-kustoversiktsnat-natlankar-och-ryssjor-pa-kustnara-grunt-vatten.html Monitoring of vendace, which resides in the free water column are done with special sonar (vendace survey). These register the amount of fish on a predetermined distance. Trawl hauls are carried out at regular intervals to estimate the size composition. In addition to this, vendace is also sampled through on-board and harbor sampling in commercial fishing. This sampling is described in more detail in programmes Offshore fish and By-catch (for non-target species)."	https://www.havochvatten.se/en/eu-and-international/international-cooperation/data-collection-framework-dcf/efforts-in-sweden.html	https://www.havochvatten.se/en/eu-and-international/international-cooperation/data-collection-framework-dcf/efforts-in-sweden.html	https://www.havochvatten.se/en/eu-and-international/international-cooperation/data-collection-framework-dcf/efforts-in-sweden.html	https://www.havochvatten.se/en/eu-and-international/international-cooperation/data-collection-framework-dcf/efforts-in-sweden.html	https://www.havochvatten.se/en/eu-and-international/international-cooperation/data-collection-framework-dcf/efforts-in-sweden.html	https://www.havochvatten.se/en/eu-and-international/international-cooperation/data-collection-framework-dcf/efforts-in-sweden.html	https://www.havochvatten.se/en/eu-and-international/international-cooperation/data-collection-framework-dcf/efforts-in-sweden.html	https://www.havochvatten.se/en/eu-and-international/international-cooperation/data-collection-framework-dcf/efforts-in-sweden.html	https://www.havochvatten.se/en/eu-and-international/international-cooperation/data-collection-framework-dcf/efforts-in-sweden.html	https://www.havochvatten.se/en/eu-and-international/international-cooperation/data-collection-framework-dcf/efforts-in-sweden.html	https://www.havochvatten.se/en/eu-and-international/international-cooperation/data-collection-framework-dcf/efforts-in-sweden.html	https://www.havochvatten.se/en/eu-and-international/international-cooperation/data-collection-framework-dcf/efforts-in-sweden.html	https://www.ices.dk/sites/pub/Publication%20Reports/Cooperative%20Research%20Report%20(CRR)/CRR340.pdf	https://www.ices.dk/sites/pub/Publication%20Reports/Cooperative%20Research%20Report%20(CRR)/CRR340.pdf	https://www.ices.dk/sites/pub/Publication%20Reports/Cooperative%20Research%20Report%20(CRR)/CRR340.pdf	https://www.ices.dk/sites/pub/Publication%20Reports/Cooperative%20Research%20Report%20(CRR)/CRR340.pdf	https://www.ices.dk/sites/pub/Publication%20Reports/Cooperative%20Research%20Report%20(CRR)/CRR340.pdf	https://www.ices.dk/sites/pub/Publication%20Reports/Cooperative%20Research%20Report%20(CRR)/CRR340.pdf	https://www.ices.dk/sites/pub/Publication%20Reports/Cooperative%20Research%20Report%20(CRR)/CRR340.pdf	"Wintering birds: https://www.diva-portal.org/smash/get/diva2:1172153/FULLTEXT01.pdf Breeding birds: https://www.fageltaxering.lu.se/inventera/metoder/kustfagelrutorna/metodik-kustfagelrutor"	"Wintering birds: https://www.diva-portal.org/smash/get/diva2:1172153/FULLTEXT01.pdf Breeding birds: https://www.fageltaxering.lu.se/inventera/metoder/kustfagelrutorna/metodik-kustfagelrutor"	"Wintering birds: https://www.diva-portal.org/smash/get/diva2:1172153/FULLTEXT01.pdf Breeding birds: https://www.fageltaxering.lu.se/inventera/metoder/kustfagelrutorna/metodik-kustfagelrutor"	"Wintering birds: https://www.diva-portal.org/smash/get/diva2:1172153/FULLTEXT01.pdf Breeding birds: https://www.fageltaxering.lu.se/inventera/metoder/kustfagelrutorna/metodik-kustfagelrutor"	"Wintering birds: https://www.diva-portal.org/smash/get/diva2:1172153/FULLTEXT01.pdf Breeding birds: https://www.fageltaxering.lu.se/inventera/metoder/kustfagelrutorna/metodik-kustfagelrutor"	"Wintering birds: https://www.diva-portal.org/smash/get/diva2:1172153/FULLTEXT01.pdf Breeding birds: https://www.fageltaxering.lu.se/inventera/metoder/kustfagelrutorna/metodik-kustfagelrutor"	"Wintering birds: https://www.diva-portal.org/smash/get/diva2:1172153/FULLTEXT01.pdf Breeding birds: https://www.fageltaxering.lu.se/inventera/metoder/kustfagelrutorna/metodik-kustfagelrutor"	"Wintering birds: https://www.diva-portal.org/smash/get/diva2:1172153/FULLTEXT01.pdf Breeding birds: https://www.fageltaxering.lu.se/inventera/metoder/kustfagelrutorna/metodik-kustfagelrutor"	"Wintering birds: https://www.diva-portal.org/smash/get/diva2:1172153/FULLTEXT01.pdf Breeding birds: https://www.fageltaxering.lu.se/inventera/metoder/kustfagelrutorna/metodik-kustfagelrutor"	"Wintering birds: https://www.diva-portal.org/smash/get/diva2:1172153/FULLTEXT01.pdf Breeding birds: https://www.fageltaxering.lu.se/inventera/metoder/kustfagelrutorna/metodik-kustfagelrutor"	"Wintering birds: https://www.diva-portal.org/smash/get/diva2:1172153/FULLTEXT01.pdf Breeding birds: https://www.fageltaxering.lu.se/inventera/metoder/kustfagelrutorna/metodik-kustfagelrutor"	"Wintering birds: https://www.diva-portal.org/smash/get/diva2:1172153/FULLTEXT01.pdf Breeding birds: https://www.fageltaxering.lu.se/inventera/metoder/kustfagelrutorna/metodik-kustfagelrutor"	"Wintering birds: https://www.diva-portal.org/smash/get/diva2:1172153/FULLTEXT01.pdf Breeding birds: https://www.fageltaxering.lu.se/inventera/metoder/kustfagelrutorna/metodik-kustfagelrutor"	"Wintering birds: https://www.diva-portal.org/smash/get/diva2:1172153/FULLTEXT01.pdf Breeding birds: https://www.fageltaxering.lu.se/inventera/metoder/kustfagelrutorna/metodik-kustfagelrutor"	"Wintering birds: https://www.diva-portal.org/smash/get/diva2:1172153/FULLTEXT01.pdf Breeding birds: https://www.fageltaxering.lu.se/inventera/metoder/kustfagelrutorna/metodik-kustfagelrutor"	"Wintering birds: https://www.diva-portal.org/smash/get/diva2:1172153/FULLTEXT01.pdf Breeding birds: https://www.fageltaxering.lu.se/inventera/metoder/kustfagelrutorna/metodik-kustfagelrutor"	"Wintering birds: https://www.diva-portal.org/smash/get/diva2:1172153/FULLTEXT01.pdf Breeding birds: https://www.fageltaxering.lu.se/inventera/metoder/kustfagelrutorna/metodik-kustfagelrutor"	"Wintering birds: https://www.diva-portal.org/smash/get/diva2:1172153/FULLTEXT01.pdf Breeding birds: https://www.fageltaxering.lu.se/inventera/metoder/kustfagelrutorna/metodik-kustfagelrutor"	"Wintering birds: https://www.diva-portal.org/smash/get/diva2:1172153/FULLTEXT01.pdf Breeding birds: https://www.fageltaxering.lu.se/inventera/metoder/kustfagelrutorna/metodik-kustfagelrutor"	"Wintering birds: https://www.diva-portal.org/smash/get/diva2:1172153/FULLTEXT01.pdf Breeding birds: https://www.fageltaxering.lu.se/inventera/metoder/kustfagelrutorna/metodik-kustfagelrutor"	"Wintering birds: https://www.diva-portal.org/smash/get/diva2:1172153/FULLTEXT01.pdf Breeding birds: https://www.fageltaxering.lu.se/inventera/metoder/kustfagelrutorna/metodik-kustfagelrutor"	All three seal species are monitored using either helicopter (grey seal) or fixed wing aircrafts (Harbour seal and Ringed seal) in combination with surveylance camera and visual observation. Al three monitoring methods will be described in 2020.	All three seal species are monitored using either helicopter (grey seal) or fixed wing aircrafts (Harbour seal and Ringed seal) in combination with surveylance camera and visual observation. Al three monitoring methods will be described in 2020.	All three seal species are monitored using either helicopter (grey seal) or fixed wing aircrafts (Harbour seal and Ringed seal) in combination with surveylance camera and visual observation. Al three monitoring methods will be described in 2020.	All three seal species are monitored using either helicopter (grey seal) or fixed wing aircrafts (Harbour seal and Ringed seal) in combination with surveylance camera and visual observation. Al three monitoring methods will be described in 2020.	All three seal species are monitored using either helicopter (grey seal) or fixed wing aircrafts (Harbour seal and Ringed seal) in combination with surveylance camera and visual observation. Al three monitoring methods will be described in 2020.	All three seal species are monitored using either helicopter (grey seal) or fixed wing aircrafts (Harbour seal and Ringed seal) in combination with surveylance camera and visual observation. Al three monitoring methods will be described in 2020.	"https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/djurplankton-trend--och-omradesovervakning.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/geleplankton.html"	"https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/djurplankton-trend--och-omradesovervakning.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/geleplankton.html"	"https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/djurplankton-trend--och-omradesovervakning.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/geleplankton.html"	"https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/djurplankton-trend--och-omradesovervakning.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/geleplankton.html"	The monitoring methods used will be described in 2020.	The monitoring methods used will be described in 2020.	The monitoring methods used will be described in 2020.	The monitoring methods used will be described in 2020.	The monitoring methods used will be described in 2020.	"https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/vaxtplankton.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/bakteriell-syrekonsumtion.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/hydrografi-och-narsalter-trendovervakning.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/primarproduktion.html https://www.smhi.se/data/oceanografi/algsituationen"	"https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/vaxtplankton.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/bakteriell-syrekonsumtion.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/hydrografi-och-narsalter-trendovervakning.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/primarproduktion.html https://www.smhi.se/data/oceanografi/algsituationen"	"https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/vaxtplankton.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/bakteriell-syrekonsumtion.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/hydrografi-och-narsalter-trendovervakning.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/primarproduktion.html https://www.smhi.se/data/oceanografi/algsituationen"	"https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/vaxtplankton.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/bakteriell-syrekonsumtion.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/hydrografi-och-narsalter-trendovervakning.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/primarproduktion.html https://www.smhi.se/data/oceanografi/algsituationen"	"https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/vaxtplankton.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/bakteriell-syrekonsumtion.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/hydrografi-och-narsalter-trendovervakning.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/primarproduktion.html https://www.smhi.se/data/oceanografi/algsituationen"	"https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/vaxtplankton.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/bakteriell-syrekonsumtion.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/hydrografi-och-narsalter-trendovervakning.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/primarproduktion.html https://www.smhi.se/data/oceanografi/algsituationen"	"https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/vaxtplankton.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/bakteriell-syrekonsumtion.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/hydrografi-och-narsalter-trendovervakning.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/primarproduktion.html https://www.smhi.se/data/oceanografi/algsituationen"	"https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/vaxtplankton.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/bakteriell-syrekonsumtion.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/hydrografi-och-narsalter-trendovervakning.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/primarproduktion.html https://www.smhi.se/data/oceanografi/algsituationen"	"https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/vaxtplankton.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/bakteriell-syrekonsumtion.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/hydrografi-och-narsalter-trendovervakning.html https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/primarproduktion.html https://www.smhi.se/data/oceanografi/algsituationen"	A review of existing methods has shown that there is no single method that can meet all data needs. Therefore, the current focus is on developing a concept based on combined methods, where one or more sub-methods can deliver large-scale coverage while other sub-methods can deliver more accurate spatial and/or biological data. The results from the various sub-methods must be able to be seamlessly linked so that together they form a functioning monitoring system. One possibility that is being investigated is the use of Sentinel 2 satellite data to create a comprehensive and uniform image throughout Sweden (scale 10 x 10 meters) in combination with drones that can locally create image mosaics of benthic vegetation (with an accuracy of a few centimeters) and biological sampling of the vegetation, which in turn enables more accurate species identification and other biological factors. Pilot surveys in 2019 have shown that the method has the potential to cover benthic habitats down to medium visibility depths. Deeper benthic environments (below the visibility depth limit) require monitoring based on comprehensive substrate and depth models based on data from different types of remote mapping (especially different sonar-based methods). The technical possibilities for producing and modeling bottom information in the same accuracy as shallower areas were initially investigated in 2019 within the National Marine Mapping (NMK) project and showed great potential. Development of reliable and usable models is, however, limited by the lack of measurement data of sufficiently high quality for parts of Sweden's sea area and by the fact that large parts of the existing data are unavailable.	A review of existing methods has shown that there is no single method that can meet all data needs. Therefore, the current focus is on developing a concept based on combined methods, where one or more sub-methods can deliver large-scale coverage while other sub-methods can deliver more accurate spatial and/or biological data. The results from the various sub-methods must be able to be seamlessly linked so that together they form a functioning monitoring system. One possibility that is being investigated is the use of Sentinel 2 satellite data to create a comprehensive and uniform image throughout Sweden (scale 10 x 10 meters) in combination with drones that can locally create image mosaics of benthic vegetation (with an accuracy of a few centimeters) and biological sampling of the vegetation, which in turn enables more accurate species identification and other biological factors. Pilot surveys in 2019 have shown that the method has the potential to cover benthic habitats down to medium visibility depths. Deeper benthic environments (below the visibility depth limit) require monitoring based on comprehensive substrate and depth models based on data from different types of remote mapping (especially different sonar-based methods). The technical possibilities for producing and modeling bottom information in the same accuracy as shallower areas were initially investigated in 2019 within the National Marine Mapping (NMK) project and showed great potential. Development of reliable and usable models is, however, limited by the lack of measurement data of sufficiently high quality for parts of Sweden's sea area and by the fact that large parts of the existing data are unavailable.	A review of existing methods has shown that there is no single method that can meet all data needs. Therefore, the current focus is on developing a concept based on combined methods, where one or more sub-methods can deliver large-scale coverage while other sub-methods can deliver more accurate spatial and/or biological data. The results from the various sub-methods must be able to be seamlessly linked so that together they form a functioning monitoring system. One possibility that is being investigated is the use of Sentinel 2 satellite data to create a comprehensive and uniform image throughout Sweden (scale 10 x 10 meters) in combination with drones that can locally create image mosaics of benthic vegetation (with an accuracy of a few centimeters) and biological sampling of the vegetation, which in turn enables more accurate species identification and other biological factors. Pilot surveys in 2019 have shown that the method has the potential to cover benthic habitats down to medium visibility depths. Deeper benthic environments (below the visibility depth limit) require monitoring based on comprehensive substrate and depth models based on data from different types of remote mapping (especially different sonar-based methods). The technical possibilities for producing and modeling bottom information in the same accuracy as shallower areas were initially investigated in 2019 within the National Marine Mapping (NMK) project and showed great potential. Development of reliable and usable models is, however, limited by the lack of measurement data of sufficiently high quality for parts of Sweden's sea area and by the fact that large parts of the existing data are unavailable.	A review of existing methods has shown that there is no single method that can meet all data needs. Therefore, the current focus is on developing a concept based on combined methods, where one or more sub-methods can deliver large-scale coverage while other sub-methods can deliver more accurate spatial and/or biological data. The results from the various sub-methods must be able to be seamlessly linked so that together they form a functioning monitoring system. One possibility that is being investigated is the use of Sentinel 2 satellite data to create a comprehensive and uniform image throughout Sweden (scale 10 x 10 meters) in combination with drones that can locally create image mosaics of benthic vegetation (with an accuracy of a few centimeters) and biological sampling of the vegetation, which in turn enables more accurate species identification and other biological factors. Pilot surveys in 2019 have shown that the method has the potential to cover benthic habitats down to medium visibility depths. Deeper benthic environments (below the visibility depth limit) require monitoring based on comprehensive substrate and depth models based on data from different types of remote mapping (especially different sonar-based methods). The technical possibilities for producing and modeling bottom information in the same accuracy as shallower areas were initially investigated in 2019 within the National Marine Mapping (NMK) project and showed great potential. Development of reliable and usable models is, however, limited by the lack of measurement data of sufficiently high quality for parts of Sweden's sea area and by the fact that large parts of the existing data are unavailable.	A review of existing methods has shown that there is no single method that can meet all data needs. Therefore, the current focus is on developing a concept based on combined methods, where one or more sub-methods can deliver large-scale coverage while other sub-methods can deliver more accurate spatial and/or biological data. The results from the various sub-methods must be able to be seamlessly linked so that together they form a functioning monitoring system. One possibility that is being investigated is the use of Sentinel 2 satellite data to create a comprehensive and uniform image throughout Sweden (scale 10 x 10 meters) in combination with drones that can locally create image mosaics of benthic vegetation (with an accuracy of a few centimeters) and biological sampling of the vegetation, which in turn enables more accurate species identification and other biological factors. Pilot surveys in 2019 have shown that the method has the potential to cover benthic habitats down to medium visibility depths. Deeper benthic environments (below the visibility depth limit) require monitoring based on comprehensive substrate and depth models based on data from different types of remote mapping (especially different sonar-based methods). The technical possibilities for producing and modeling bottom information in the same accuracy as shallower areas were initially investigated in 2019 within the National Marine Mapping (NMK) project and showed great potential. Development of reliable and usable models is, however, limited by the lack of measurement data of sufficiently high quality for parts of Sweden's sea area and by the fact that large parts of the existing data are unavailable.	A review of existing methods has shown that there is no single method that can meet all data needs. Therefore, the current focus is on developing a concept based on combined methods, where one or more sub-methods can deliver large-scale coverage while other sub-methods can deliver more accurate spatial and/or biological data. The results from the various sub-methods must be able to be seamlessly linked so that together they form a functioning monitoring system. One possibility that is being investigated is the use of Sentinel 2 satellite data to create a comprehensive and uniform image throughout Sweden (scale 10 x 10 meters) in combination with drones that can locally create image mosaics of benthic vegetation (with an accuracy of a few centimeters) and biological sampling of the vegetation, which in turn enables more accurate species identification and other biological factors. Pilot surveys in 2019 have shown that the method has the potential to cover benthic habitats down to medium visibility depths. Deeper benthic environments (below the visibility depth limit) require monitoring based on comprehensive substrate and depth models based on data from different types of remote mapping (especially different sonar-based methods). The technical possibilities for producing and modeling bottom information in the same accuracy as shallower areas were initially investigated in 2019 within the National Marine Mapping (NMK) project and showed great potential. Development of reliable and usable models is, however, limited by the lack of measurement data of sufficiently high quality for parts of Sweden's sea area and by the fact that large parts of the existing data are unavailable.	A review of existing methods has shown that there is no single method that can meet all data needs. Therefore, the current focus is on developing a concept based on combined methods, where one or more sub-methods can deliver large-scale coverage while other sub-methods can deliver more accurate spatial and/or biological data. The results from the various sub-methods must be able to be seamlessly linked so that together they form a functioning monitoring system. One possibility that is being investigated is the use of Sentinel 2 satellite data to create a comprehensive and uniform image throughout Sweden (scale 10 x 10 meters) in combination with drones that can locally create image mosaics of benthic vegetation (with an accuracy of a few centimeters) and biological sampling of the vegetation, which in turn enables more accurate species identification and other biological factors. Pilot surveys in 2019 have shown that the method has the potential to cover benthic habitats down to medium visibility depths. Deeper benthic environments (below the visibility depth limit) require monitoring based on comprehensive substrate and depth models based on data from different types of remote mapping (especially different sonar-based methods). The technical possibilities for producing and modeling bottom information in the same accuracy as shallower areas were initially investigated in 2019 within the National Marine Mapping (NMK) project and showed great potential. Development of reliable and usable models is, however, limited by the lack of measurement data of sufficiently high quality for parts of Sweden's sea area and by the fact that large parts of the existing data are unavailable.	A review of existing methods has shown that there is no single method that can meet all data needs. Therefore, the current focus is on developing a concept based on combined methods, where one or more sub-methods can deliver large-scale coverage while other sub-methods can deliver more accurate spatial and/or biological data. The results from the various sub-methods must be able to be seamlessly linked so that together they form a functioning monitoring system. One possibility that is being investigated is the use of Sentinel 2 satellite data to create a comprehensive and uniform image throughout Sweden (scale 10 x 10 meters) in combination with drones that can locally create image mosaics of benthic vegetation (with an accuracy of a few centimeters) and biological sampling of the vegetation, which in turn enables more accurate species identification and other biological factors. Pilot surveys in 2019 have shown that the method has the potential to cover benthic habitats down to medium visibility depths. Deeper benthic environments (below the visibility depth limit) require monitoring based on comprehensive substrate and depth models based on data from different types of remote mapping (especially different sonar-based methods). The technical possibilities for producing and modeling bottom information in the same accuracy as shallower areas were initially investigated in 2019 within the National Marine Mapping (NMK) project and showed great potential. Development of reliable and usable models is, however, limited by the lack of measurement data of sufficiently high quality for parts of Sweden's sea area and by the fact that large parts of the existing data are unavailable.	A review of existing methods has shown that there is no single method that can meet all data needs. Therefore, the current focus is on developing a concept based on combined methods, where one or more sub-methods can deliver large-scale coverage while other sub-methods can deliver more accurate spatial and/or biological data. The results from the various sub-methods must be able to be seamlessly linked so that together they form a functioning monitoring system. One possibility that is being investigated is the use of Sentinel 2 satellite data to create a comprehensive and uniform image throughout Sweden (scale 10 x 10 meters) in combination with drones that can locally create image mosaics of benthic vegetation (with an accuracy of a few centimeters) and biological sampling of the vegetation, which in turn enables more accurate species identification and other biological factors. Pilot surveys in 2019 have shown that the method has the potential to cover benthic habitats down to medium visibility depths. Deeper benthic environments (below the visibility depth limit) require monitoring based on comprehensive substrate and depth models based on data from different types of remote mapping (especially different sonar-based methods). The technical possibilities for producing and modeling bottom information in the same accuracy as shallower areas were initially investigated in 2019 within the National Marine Mapping (NMK) project and showed great potential. Development of reliable and usable models is, however, limited by the lack of measurement data of sufficiently high quality for parts of Sweden's sea area and by the fact that large parts of the existing data are unavailable.	A review of existing methods has shown that there is no single method that can meet all data needs. Therefore, the current focus is on developing a concept based on combined methods, where one or more sub-methods can deliver large-scale coverage while other sub-methods can deliver more accurate spatial and/or biological data. The results from the various sub-methods must be able to be seamlessly linked so that together they form a functioning monitoring system. One possibility that is being investigated is the use of Sentinel 2 satellite data to create a comprehensive and uniform image throughout Sweden (scale 10 x 10 meters) in combination with drones that can locally create image mosaics of benthic vegetation (with an accuracy of a few centimeters) and biological sampling of the vegetation, which in turn enables more accurate species identification and other biological factors. Pilot surveys in 2019 have shown that the method has the potential to cover benthic habitats down to medium visibility depths. Deeper benthic environments (below the visibility depth limit) require monitoring based on comprehensive substrate and depth models based on data from different types of remote mapping (especially different sonar-based methods). The technical possibilities for producing and modeling bottom information in the same accuracy as shallower areas were initially investigated in 2019 within the National Marine Mapping (NMK) project and showed great potential. Development of reliable and usable models is, however, limited by the lack of measurement data of sufficiently high quality for parts of Sweden's sea area and by the fact that large parts of the existing data are unavailable.	"https://www.havochvatten.se/hav/vagledning--lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/patologi-hos-grasal-vikaresal-och-knubbsal.html Selected harbour porpoises are examined at the laboratories of the Swedish Veterinary Institute in collaboration with the staff of the Swedish Museum of Natural History. During inspection before autopsy, the following biological data are noted: Sex, external dimensions, weight, any damage to the body, During autopsy the following biological data are noted: Nutrient condition / blubber thickness, sexual maturity, pregnancy, external damage, including any damage from human activities (eg fishing nets), organ damage, including microscopic examination and X-ray if necessary, infectious substances, parasites and other diseases, stomach contents, age "	"https://www.havochvatten.se/hav/vagledning--lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/patologi-hos-grasal-vikaresal-och-knubbsal.html Selected harbour porpoises are examined at the laboratories of the Swedish Veterinary Institute in collaboration with the staff of the Swedish Museum of Natural History. During inspection before autopsy, the following biological data are noted: Sex, external dimensions, weight, any damage to the body, During autopsy the following biological data are noted: Nutrient condition / blubber thickness, sexual maturity, pregnancy, external damage, including any damage from human activities (eg fishing nets), organ damage, including microscopic examination and X-ray if necessary, infectious substances, parasites and other diseases, stomach contents, age "	"https://www.havochvatten.se/hav/vagledning--lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/patologi-hos-grasal-vikaresal-och-knubbsal.html Selected harbour porpoises are examined at the laboratories of the Swedish Veterinary Institute in collaboration with the staff of the Swedish Museum of Natural History. During inspection before autopsy, the following biological data are noted: Sex, external dimensions, weight, any damage to the body, During autopsy the following biological data are noted: Nutrient condition / blubber thickness, sexual maturity, pregnancy, external damage, including any damage from human activities (eg fishing nets), organ damage, including microscopic examination and X-ray if necessary, infectious substances, parasites and other diseases, stomach contents, age "	"https://www.havochvatten.se/hav/vagledning--lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/patologi-hos-grasal-vikaresal-och-knubbsal.html Selected harbour porpoises are examined at the laboratories of the Swedish Veterinary Institute in collaboration with the staff of the Swedish Museum of Natural History. During inspection before autopsy, the following biological data are noted: Sex, external dimensions, weight, any damage to the body, During autopsy the following biological data are noted: Nutrient condition / blubber thickness, sexual maturity, pregnancy, external damage, including any damage from human activities (eg fishing nets), organ damage, including microscopic examination and X-ray if necessary, infectious substances, parasites and other diseases, stomach contents, age "	"https://www.havochvatten.se/hav/vagledning--lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/patologi-hos-grasal-vikaresal-och-knubbsal.html Selected harbour porpoises are examined at the laboratories of the Swedish Veterinary Institute in collaboration with the staff of the Swedish Museum of Natural History. During inspection before autopsy, the following biological data are noted: Sex, external dimensions, weight, any damage to the body, During autopsy the following biological data are noted: Nutrient condition / blubber thickness, sexual maturity, pregnancy, external damage, including any damage from human activities (eg fishing nets), organ damage, including microscopic examination and X-ray if necessary, infectious substances, parasites and other diseases, stomach contents, age "	https://www.havochvatten.se/hav/vagledning--lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/mjukbottenlevande-makrofauna-trend--och-omradesovervakning.html	https://www.havochvatten.se/hav/vagledning--lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/mjukbottenlevande-makrofauna-trend--och-omradesovervakning.html	https://www.havochvatten.se/hav/vagledning--lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/mjukbottenlevande-makrofauna-trend--och-omradesovervakning.html	https://www.havochvatten.se/hav/vagledning--lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/mjukbottenlevande-makrofauna-trend--och-omradesovervakning.html	https://www.havochvatten.se/hav/vagledning--lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/mjukbottenlevande-makrofauna-trend--och-omradesovervakning.html	https://www.havochvatten.se/hav/vagledning--lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/mjukbottenlevande-makrofauna-trend--och-omradesovervakning.html	https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/havsorn-bestand.html	https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/havsorn-bestand.html
Quality control	The quality assurance is conducted by strictly following standardized methodology. Quality control takes place within the data hosting for coastal fish. Data is quality checked electronically via a sequence of routine questions and approved manually after a controller specially appointed for the purpose has approved the quality of the material. See also Quality guide for SLU's environmental data management: https://internt.slu.se/globalassets/mw/foma/verksamhetsstod/miljodatastod/kvalitetsguidesdokument/kvalitetsguiden-version-2.4.pdf	The quality assurance is conducted by strictly following standardized methodology. Quality control takes place within the data hosting for coastal fish. Data is quality checked electronically via a sequence of routine questions and approved manually after a controller specially appointed for the purpose has approved the quality of the material. See also Quality guide for SLU's environmental data management: https://internt.slu.se/globalassets/mw/foma/verksamhetsstod/miljodatastod/kvalitetsguidesdokument/kvalitetsguiden-version-2.4.pdf	The quality assurance is conducted by strictly following standardized methodology. Quality control takes place within the data hosting for coastal fish. Data is quality checked electronically via a sequence of routine questions and approved manually after a controller specially appointed for the purpose has approved the quality of the material. See also Quality guide for SLU's environmental data management: https://internt.slu.se/globalassets/mw/foma/verksamhetsstod/miljodatastod/kvalitetsguidesdokument/kvalitetsguiden-version-2.4.pdf	The quality assurance is conducted by strictly following standardized methodology. Quality control takes place within the data hosting for coastal fish. Data is quality checked electronically via a sequence of routine questions and approved manually after a controller specially appointed for the purpose has approved the quality of the material. See also Quality guide for SLU's environmental data management: https://internt.slu.se/globalassets/mw/foma/verksamhetsstod/miljodatastod/kvalitetsguidesdokument/kvalitetsguiden-version-2.4.pdf	The quality assurance is conducted by strictly following standardized methodology. Quality control takes place within the data hosting for coastal fish. Data is quality checked electronically via a sequence of routine questions and approved manually after a controller specially appointed for the purpose has approved the quality of the material. See also Quality guide for SLU's environmental data management: https://internt.slu.se/globalassets/mw/foma/verksamhetsstod/miljodatastod/kvalitetsguidesdokument/kvalitetsguiden-version-2.4.pdf	The quality assurance is conducted by strictly following standardized methodology. Quality control takes place within the data hosting for coastal fish. Data is quality checked electronically via a sequence of routine questions and approved manually after a controller specially appointed for the purpose has approved the quality of the material. See also Quality guide for SLU's environmental data management: https://internt.slu.se/globalassets/mw/foma/verksamhetsstod/miljodatastod/kvalitetsguidesdokument/kvalitetsguiden-version-2.4.pdf	The quality assurance is conducted by strictly following standardized methodology. Quality control takes place within the data hosting for coastal fish. Data is quality checked electronically via a sequence of routine questions and approved manually after a controller specially appointed for the purpose has approved the quality of the material. See also Quality guide for SLU's environmental data management: https://internt.slu.se/globalassets/mw/foma/verksamhetsstod/miljodatastod/kvalitetsguidesdokument/kvalitetsguiden-version-2.4.pdf	The quality assurance is conducted by strictly following standardized methodology. Quality control takes place within the data hosting for coastal fish. Data is quality checked electronically via a sequence of routine questions and approved manually after a controller specially appointed for the purpose has approved the quality of the material. See also Quality guide for SLU's environmental data management: https://internt.slu.se/globalassets/mw/foma/verksamhetsstod/miljodatastod/kvalitetsguidesdokument/kvalitetsguiden-version-2.4.pdf	Monitoring programmes are reviewed within ICES groups (trawl surveys) and/or through evaluations by the European Commission's Scientific, Technical and Economic Committee for Fisheries (STECF). Data is registered in the national database FISKDATA2 according to the updated manual. The quality assurance includes control reading routines of entered data against protocols, automatic quality control of data within the database and manual quality control of data (identification of outliers). Data from trawl surveys are delivered to ICES database DATRAS. Before data is accepted into DATRAS, delivered data undergoes quality review. Quality assurance of age reading and determination of sexual maturity of fish takes place through annual calibrations.	Monitoring programmes are reviewed within ICES groups (trawl surveys) and/or through evaluations by the European Commission's Scientific, Technical and Economic Committee for Fisheries (STECF). Data is registered in the national database FISKDATA2 according to the updated manual. The quality assurance includes control reading routines of entered data against protocols, automatic quality control of data within the database and manual quality control of data (identification of outliers). Data from trawl surveys are delivered to ICES database DATRAS. Before data is accepted into DATRAS, delivered data undergoes quality review. Quality assurance of age reading and determination of sexual maturity of fish takes place through annual calibrations.	Monitoring programmes are reviewed within ICES groups (trawl surveys) and/or through evaluations by the European Commission's Scientific, Technical and Economic Committee for Fisheries (STECF). Data is registered in the national database FISKDATA2 according to the updated manual. The quality assurance includes control reading routines of entered data against protocols, automatic quality control of data within the database and manual quality control of data (identification of outliers). Data from trawl surveys are delivered to ICES database DATRAS. Before data is accepted into DATRAS, delivered data undergoes quality review. Quality assurance of age reading and determination of sexual maturity of fish takes place through annual calibrations.	Monitoring programmes are reviewed within ICES groups (trawl surveys) and/or through evaluations by the European Commission's Scientific, Technical and Economic Committee for Fisheries (STECF). Data is registered in the national database FISKDATA2 according to the updated manual. The quality assurance includes control reading routines of entered data against protocols, automatic quality control of data within the database and manual quality control of data (identification of outliers). Data from trawl surveys are delivered to ICES database DATRAS. Before data is accepted into DATRAS, delivered data undergoes quality review. Quality assurance of age reading and determination of sexual maturity of fish takes place through annual calibrations.	Monitoring programmes are reviewed within ICES groups (trawl surveys) and/or through evaluations by the European Commission's Scientific, Technical and Economic Committee for Fisheries (STECF). Data is registered in the national database FISKDATA2 according to the updated manual. The quality assurance includes control reading routines of entered data against protocols, automatic quality control of data within the database and manual quality control of data (identification of outliers). Data from trawl surveys are delivered to ICES database DATRAS. Before data is accepted into DATRAS, delivered data undergoes quality review. Quality assurance of age reading and determination of sexual maturity of fish takes place through annual calibrations.	Monitoring programmes are reviewed within ICES groups (trawl surveys) and/or through evaluations by the European Commission's Scientific, Technical and Economic Committee for Fisheries (STECF). Data is registered in the national database FISKDATA2 according to the updated manual. The quality assurance includes control reading routines of entered data against protocols, automatic quality control of data within the database and manual quality control of data (identification of outliers). Data from trawl surveys are delivered to ICES database DATRAS. Before data is accepted into DATRAS, delivered data undergoes quality review. Quality assurance of age reading and determination of sexual maturity of fish takes place through annual calibrations.	Monitoring programmes are reviewed within ICES groups (trawl surveys) and/or through evaluations by the European Commission's Scientific, Technical and Economic Committee for Fisheries (STECF). Data is registered in the national database FISKDATA2 according to the updated manual. The quality assurance includes control reading routines of entered data against protocols, automatic quality control of data within the database and manual quality control of data (identification of outliers). Data from trawl surveys are delivered to ICES database DATRAS. Before data is accepted into DATRAS, delivered data undergoes quality review. Quality assurance of age reading and determination of sexual maturity of fish takes place through annual calibrations.	Monitoring programmes are reviewed within ICES groups (trawl surveys) and/or through evaluations by the European Commission's Scientific, Technical and Economic Committee for Fisheries (STECF). Data is registered in the national database FISKDATA2 according to the updated manual. The quality assurance includes control reading routines of entered data against protocols, automatic quality control of data within the database and manual quality control of data (identification of outliers). Data from trawl surveys are delivered to ICES database DATRAS. Before data is accepted into DATRAS, delivered data undergoes quality review. Quality assurance of age reading and determination of sexual maturity of fish takes place through annual calibrations.	Monitoring programmes are reviewed within ICES groups (trawl surveys) and/or through evaluations by the European Commission's Scientific, Technical and Economic Committee for Fisheries (STECF). Data is registered in the national database FISKDATA2 according to the updated manual. The quality assurance includes control reading routines of entered data against protocols, automatic quality control of data within the database and manual quality control of data (identification of outliers). Data from trawl surveys are delivered to ICES database DATRAS. Before data is accepted into DATRAS, delivered data undergoes quality review. Quality assurance of age reading and determination of sexual maturity of fish takes place through annual calibrations.	Monitoring programmes are reviewed within ICES groups (trawl surveys) and/or through evaluations by the European Commission's Scientific, Technical and Economic Committee for Fisheries (STECF). Data is registered in the national database FISKDATA2 according to the updated manual. The quality assurance includes control reading routines of entered data against protocols, automatic quality control of data within the database and manual quality control of data (identification of outliers). Data from trawl surveys are delivered to ICES database DATRAS. Before data is accepted into DATRAS, delivered data undergoes quality review. Quality assurance of age reading and determination of sexual maturity of fish takes place through annual calibrations.	Monitoring programmes are reviewed within ICES groups (trawl surveys) and/or through evaluations by the European Commission's Scientific, Technical and Economic Committee for Fisheries (STECF). Data is registered in the national database FISKDATA2 according to the updated manual. The quality assurance includes control reading routines of entered data against protocols, automatic quality control of data within the database and manual quality control of data (identification of outliers). Data from trawl surveys are delivered to ICES database DATRAS. Before data is accepted into DATRAS, delivered data undergoes quality review. Quality assurance of age reading and determination of sexual maturity of fish takes place through annual calibrations.	Monitoring programmes are reviewed within ICES groups (trawl surveys) and/or through evaluations by the European Commission's Scientific, Technical and Economic Committee for Fisheries (STECF). Data is registered in the national database FISKDATA2 according to the updated manual. The quality assurance includes control reading routines of entered data against protocols, automatic quality control of data within the database and manual quality control of data (identification of outliers). Data from trawl surveys are delivered to ICES database DATRAS. Before data is accepted into DATRAS, delivered data undergoes quality review. Quality assurance of age reading and determination of sexual maturity of fish takes place through annual calibrations.	ICES data center data type guidelines and reference images are used for quality assurance. Linns CCC is used as quality control of data to check that the counting is consistent between stations.	ICES data center data type guidelines and reference images are used for quality assurance. Linns CCC is used as quality control of data to check that the counting is consistent between stations.	ICES data center data type guidelines and reference images are used for quality assurance. Linns CCC is used as quality control of data to check that the counting is consistent between stations.	ICES data center data type guidelines and reference images are used for quality assurance. Linns CCC is used as quality control of data to check that the counting is consistent between stations.	ICES data center data type guidelines and reference images are used for quality assurance. Linns CCC is used as quality control of data to check that the counting is consistent between stations.	ICES data center data type guidelines and reference images are used for quality assurance. Linns CCC is used as quality control of data to check that the counting is consistent between stations.	ICES data center data type guidelines and reference images are used for quality assurance. Linns CCC is used as quality control of data to check that the counting is consistent between stations.	The inventories of wintering and breeding seabirds follow a simple and well-documented methodology. Reporting is done via digital protocols that are sent to the Swedish Bird Taxation, which is the project manager for both inventories. Received protocols are checked before they are entered into the database. In case of doubt, they contact the rapporter. Furthermore, entered data is validated through a number of control questions.	The inventories of wintering and breeding seabirds follow a simple and well-documented methodology. Reporting is done via digital protocols that are sent to the Swedish Bird Taxation, which is the project manager for both inventories. Received protocols are checked before they are entered into the database. In case of doubt, they contact the rapporter. Furthermore, entered data is validated through a number of control questions.	The inventories of wintering and breeding seabirds follow a simple and well-documented methodology. Reporting is done via digital protocols that are sent to the Swedish Bird Taxation, which is the project manager for both inventories. Received protocols are checked before they are entered into the database. In case of doubt, they contact the rapporter. Furthermore, entered data is validated through a number of control questions.	The inventories of wintering and breeding seabirds follow a simple and well-documented methodology. Reporting is done via digital protocols that are sent to the Swedish Bird Taxation, which is the project manager for both inventories. Received protocols are checked before they are entered into the database. In case of doubt, they contact the rapporter. Furthermore, entered data is validated through a number of control questions.	The inventories of wintering and breeding seabirds follow a simple and well-documented methodology. Reporting is done via digital protocols that are sent to the Swedish Bird Taxation, which is the project manager for both inventories. Received protocols are checked before they are entered into the database. In case of doubt, they contact the rapporter. Furthermore, entered data is validated through a number of control questions.	The inventories of wintering and breeding seabirds follow a simple and well-documented methodology. Reporting is done via digital protocols that are sent to the Swedish Bird Taxation, which is the project manager for both inventories. Received protocols are checked before they are entered into the database. In case of doubt, they contact the rapporter. Furthermore, entered data is validated through a number of control questions.	The inventories of wintering and breeding seabirds follow a simple and well-documented methodology. Reporting is done via digital protocols that are sent to the Swedish Bird Taxation, which is the project manager for both inventories. Received protocols are checked before they are entered into the database. In case of doubt, they contact the rapporter. Furthermore, entered data is validated through a number of control questions.	The inventories of wintering and breeding seabirds follow a simple and well-documented methodology. Reporting is done via digital protocols that are sent to the Swedish Bird Taxation, which is the project manager for both inventories. Received protocols are checked before they are entered into the database. In case of doubt, they contact the rapporter. Furthermore, entered data is validated through a number of control questions.	The inventories of wintering and breeding seabirds follow a simple and well-documented methodology. Reporting is done via digital protocols that are sent to the Swedish Bird Taxation, which is the project manager for both inventories. Received protocols are checked before they are entered into the database. In case of doubt, they contact the rapporter. Furthermore, entered data is validated through a number of control questions.	The inventories of wintering and breeding seabirds follow a simple and well-documented methodology. Reporting is done via digital protocols that are sent to the Swedish Bird Taxation, which is the project manager for both inventories. Received protocols are checked before they are entered into the database. In case of doubt, they contact the rapporter. Furthermore, entered data is validated through a number of control questions.	The inventories of wintering and breeding seabirds follow a simple and well-documented methodology. Reporting is done via digital protocols that are sent to the Swedish Bird Taxation, which is the project manager for both inventories. Received protocols are checked before they are entered into the database. In case of doubt, they contact the rapporter. Furthermore, entered data is validated through a number of control questions.	The inventories of wintering and breeding seabirds follow a simple and well-documented methodology. Reporting is done via digital protocols that are sent to the Swedish Bird Taxation, which is the project manager for both inventories. Received protocols are checked before they are entered into the database. In case of doubt, they contact the rapporter. Furthermore, entered data is validated through a number of control questions.	The inventories of wintering and breeding seabirds follow a simple and well-documented methodology. Reporting is done via digital protocols that are sent to the Swedish Bird Taxation, which is the project manager for both inventories. Received protocols are checked before they are entered into the database. In case of doubt, they contact the rapporter. Furthermore, entered data is validated through a number of control questions.	The inventories of wintering and breeding seabirds follow a simple and well-documented methodology. Reporting is done via digital protocols that are sent to the Swedish Bird Taxation, which is the project manager for both inventories. Received protocols are checked before they are entered into the database. In case of doubt, they contact the rapporter. Furthermore, entered data is validated through a number of control questions.	The inventories of wintering and breeding seabirds follow a simple and well-documented methodology. Reporting is done via digital protocols that are sent to the Swedish Bird Taxation, which is the project manager for both inventories. Received protocols are checked before they are entered into the database. In case of doubt, they contact the rapporter. Furthermore, entered data is validated through a number of control questions.	The inventories of wintering and breeding seabirds follow a simple and well-documented methodology. Reporting is done via digital protocols that are sent to the Swedish Bird Taxation, which is the project manager for both inventories. Received protocols are checked before they are entered into the database. In case of doubt, they contact the rapporter. Furthermore, entered data is validated through a number of control questions.	The inventories of wintering and breeding seabirds follow a simple and well-documented methodology. Reporting is done via digital protocols that are sent to the Swedish Bird Taxation, which is the project manager for both inventories. Received protocols are checked before they are entered into the database. In case of doubt, they contact the rapporter. Furthermore, entered data is validated through a number of control questions.	The inventories of wintering and breeding seabirds follow a simple and well-documented methodology. Reporting is done via digital protocols that are sent to the Swedish Bird Taxation, which is the project manager for both inventories. Received protocols are checked before they are entered into the database. In case of doubt, they contact the rapporter. Furthermore, entered data is validated through a number of control questions.	The inventories of wintering and breeding seabirds follow a simple and well-documented methodology. Reporting is done via digital protocols that are sent to the Swedish Bird Taxation, which is the project manager for both inventories. Received protocols are checked before they are entered into the database. In case of doubt, they contact the rapporter. Furthermore, entered data is validated through a number of control questions.	The inventories of wintering and breeding seabirds follow a simple and well-documented methodology. Reporting is done via digital protocols that are sent to the Swedish Bird Taxation, which is the project manager for both inventories. Received protocols are checked before they are entered into the database. In case of doubt, they contact the rapporter. Furthermore, entered data is validated through a number of control questions.	The inventories of wintering and breeding seabirds follow a simple and well-documented methodology. Reporting is done via digital protocols that are sent to the Swedish Bird Taxation, which is the project manager for both inventories. Received protocols are checked before they are entered into the database. In case of doubt, they contact the rapporter. Furthermore, entered data is validated through a number of control questions.	As seals move over large areas, coordinated monitoring is a prerequisite for obtaining a correct assessment of the population's distribution and abundance. The monitoring of seals is therefore coordinated between the countries concerned.	As seals move over large areas, coordinated monitoring is a prerequisite for obtaining a correct assessment of the population's distribution and abundance. The monitoring of seals is therefore coordinated between the countries concerned.	As seals move over large areas, coordinated monitoring is a prerequisite for obtaining a correct assessment of the population's distribution and abundance. The monitoring of seals is therefore coordinated between the countries concerned.	As seals move over large areas, coordinated monitoring is a prerequisite for obtaining a correct assessment of the population's distribution and abundance. The monitoring of seals is therefore coordinated between the countries concerned.	As seals move over large areas, coordinated monitoring is a prerequisite for obtaining a correct assessment of the population's distribution and abundance. The monitoring of seals is therefore coordinated between the countries concerned.	As seals move over large areas, coordinated monitoring is a prerequisite for obtaining a correct assessment of the population's distribution and abundance. The monitoring of seals is therefore coordinated between the countries concerned.	https://www.havochvatten.se/download/18.55c45bd31543fcf8536bb64f/1463040882078/bilaga-till-djurplankton.pdf	https://www.havochvatten.se/download/18.55c45bd31543fcf8536bb64f/1463040882078/bilaga-till-djurplankton.pdf	https://www.havochvatten.se/download/18.55c45bd31543fcf8536bb64f/1463040882078/bilaga-till-djurplankton.pdf	https://www.havochvatten.se/download/18.55c45bd31543fcf8536bb64f/1463040882078/bilaga-till-djurplankton.pdf	The quality assurance is following standardized methodology and partly by using Swedac-accredited laboratories. For the work of determining the species of the animals, it is of great importance to have access to people with good knowledge of taxonomy. The data should be checked before delivery to the national data host SMHI that make standardized tests and link data to taxonomic databases.	The quality assurance is following standardized methodology and partly by using Swedac-accredited laboratories. For the work of determining the species of the animals, it is of great importance to have access to people with good knowledge of taxonomy. The data should be checked before delivery to the national data host SMHI that make standardized tests and link data to taxonomic databases.	The quality assurance is following standardized methodology and partly by using Swedac-accredited laboratories. For the work of determining the species of the animals, it is of great importance to have access to people with good knowledge of taxonomy. The data should be checked before delivery to the national data host SMHI that make standardized tests and link data to taxonomic databases.	The quality assurance is following standardized methodology and partly by using Swedac-accredited laboratories. For the work of determining the species of the animals, it is of great importance to have access to people with good knowledge of taxonomy. The data should be checked before delivery to the national data host SMHI that make standardized tests and link data to taxonomic databases.	The quality assurance is following standardized methodology and partly by using Swedac-accredited laboratories. For the work of determining the species of the animals, it is of great importance to have access to people with good knowledge of taxonomy. The data should be checked before delivery to the national data host SMHI that make standardized tests and link data to taxonomic databases.	All analyzes of the national samples are analyzed by Swedac-accredited laboratories. Sampling is also performed using quality-assured and accredited methodology. The results are intercalibrated by the laboratories participating in various test comparisons, as well as by self-arranged comparisons between the national monitoring contractors. There are also regular intercalibrations for phytoplankton and chlorophyll between the Baltic Sea countries, as well as annual knowledge transfer between experts from these laboratories.	All analyzes of the national samples are analyzed by Swedac-accredited laboratories. Sampling is also performed using quality-assured and accredited methodology. The results are intercalibrated by the laboratories participating in various test comparisons, as well as by self-arranged comparisons between the national monitoring contractors. There are also regular intercalibrations for phytoplankton and chlorophyll between the Baltic Sea countries, as well as annual knowledge transfer between experts from these laboratories.	All analyzes of the national samples are analyzed by Swedac-accredited laboratories. Sampling is also performed using quality-assured and accredited methodology. The results are intercalibrated by the laboratories participating in various test comparisons, as well as by self-arranged comparisons between the national monitoring contractors. There are also regular intercalibrations for phytoplankton and chlorophyll between the Baltic Sea countries, as well as annual knowledge transfer between experts from these laboratories.	All analyzes of the national samples are analyzed by Swedac-accredited laboratories. Sampling is also performed using quality-assured and accredited methodology. The results are intercalibrated by the laboratories participating in various test comparisons, as well as by self-arranged comparisons between the national monitoring contractors. There are also regular intercalibrations for phytoplankton and chlorophyll between the Baltic Sea countries, as well as annual knowledge transfer between experts from these laboratories.	All analyzes of the national samples are analyzed by Swedac-accredited laboratories. Sampling is also performed using quality-assured and accredited methodology. The results are intercalibrated by the laboratories participating in various test comparisons, as well as by self-arranged comparisons between the national monitoring contractors. There are also regular intercalibrations for phytoplankton and chlorophyll between the Baltic Sea countries, as well as annual knowledge transfer between experts from these laboratories.	All analyzes of the national samples are analyzed by Swedac-accredited laboratories. Sampling is also performed using quality-assured and accredited methodology. The results are intercalibrated by the laboratories participating in various test comparisons, as well as by self-arranged comparisons between the national monitoring contractors. There are also regular intercalibrations for phytoplankton and chlorophyll between the Baltic Sea countries, as well as annual knowledge transfer between experts from these laboratories.	All analyzes of the national samples are analyzed by Swedac-accredited laboratories. Sampling is also performed using quality-assured and accredited methodology. The results are intercalibrated by the laboratories participating in various test comparisons, as well as by self-arranged comparisons between the national monitoring contractors. There are also regular intercalibrations for phytoplankton and chlorophyll between the Baltic Sea countries, as well as annual knowledge transfer between experts from these laboratories.	All analyzes of the national samples are analyzed by Swedac-accredited laboratories. Sampling is also performed using quality-assured and accredited methodology. The results are intercalibrated by the laboratories participating in various test comparisons, as well as by self-arranged comparisons between the national monitoring contractors. There are also regular intercalibrations for phytoplankton and chlorophyll between the Baltic Sea countries, as well as annual knowledge transfer between experts from these laboratories.	All analyzes of the national samples are analyzed by Swedac-accredited laboratories. Sampling is also performed using quality-assured and accredited methodology. The results are intercalibrated by the laboratories participating in various test comparisons, as well as by self-arranged comparisons between the national monitoring contractors. There are also regular intercalibrations for phytoplankton and chlorophyll between the Baltic Sea countries, as well as annual knowledge transfer between experts from these laboratories.	Will be developed during test-phase	Will be developed during test-phase	Will be developed during test-phase	Will be developed during test-phase	Will be developed during test-phase	Will be developed during test-phase	Will be developed during test-phase	Will be developed during test-phase	Will be developed during test-phase	Will be developed during test-phase	Autopsies or organ examinations are performed by a veterinarian or biologist with experience in the field of veterinary medical pathology and, if necessary, in collaboration with the Swedish National Veterinary Institute (SVA). Laboratory analyzes are performed by Swedac-accredited laboratories.	Autopsies or organ examinations are performed by a veterinarian or biologist with experience in the field of veterinary medical pathology and, if necessary, in collaboration with the Swedish National Veterinary Institute (SVA). Laboratory analyzes are performed by Swedac-accredited laboratories.	Autopsies or organ examinations are performed by a veterinarian or biologist with experience in the field of veterinary medical pathology and, if necessary, in collaboration with the Swedish National Veterinary Institute (SVA). Laboratory analyzes are performed by Swedac-accredited laboratories.	Autopsies or organ examinations are performed by a veterinarian or biologist with experience in the field of veterinary medical pathology and, if necessary, in collaboration with the Swedish National Veterinary Institute (SVA). Laboratory analyzes are performed by Swedac-accredited laboratories.	Autopsies or organ examinations are performed by a veterinarian or biologist with experience in the field of veterinary medical pathology and, if necessary, in collaboration with the Swedish National Veterinary Institute (SVA). Laboratory analyzes are performed by Swedac-accredited laboratories.	The quality assurance work is following standardized methodology and partly by using Swedac-accredited laboratories. For the work of determining the species of the animals, it is of great importance to have access to people with good knowledge of taxonomy. In surveys of sediment-living macrofauna, the count of the sorted animals is a very small source of error. On the other hand, variations in the species and wet weight determination can vary between performers and it is therefore important that the method description is followed and that they regularly participate in national and international ring tests. The data should be checked before delivery to the national data host SMHI that make standardized tests and link data to taxonomic databases.	The quality assurance work is following standardized methodology and partly by using Swedac-accredited laboratories. For the work of determining the species of the animals, it is of great importance to have access to people with good knowledge of taxonomy. In surveys of sediment-living macrofauna, the count of the sorted animals is a very small source of error. On the other hand, variations in the species and wet weight determination can vary between performers and it is therefore important that the method description is followed and that they regularly participate in national and international ring tests. The data should be checked before delivery to the national data host SMHI that make standardized tests and link data to taxonomic databases.	The quality assurance work is following standardized methodology and partly by using Swedac-accredited laboratories. For the work of determining the species of the animals, it is of great importance to have access to people with good knowledge of taxonomy. In surveys of sediment-living macrofauna, the count of the sorted animals is a very small source of error. On the other hand, variations in the species and wet weight determination can vary between performers and it is therefore important that the method description is followed and that they regularly participate in national and international ring tests. The data should be checked before delivery to the national data host SMHI that make standardized tests and link data to taxonomic databases.	The quality assurance work is following standardized methodology and partly by using Swedac-accredited laboratories. For the work of determining the species of the animals, it is of great importance to have access to people with good knowledge of taxonomy. In surveys of sediment-living macrofauna, the count of the sorted animals is a very small source of error. On the other hand, variations in the species and wet weight determination can vary between performers and it is therefore important that the method description is followed and that they regularly participate in national and international ring tests. The data should be checked before delivery to the national data host SMHI that make standardized tests and link data to taxonomic databases.	The quality assurance work is following standardized methodology and partly by using Swedac-accredited laboratories. For the work of determining the species of the animals, it is of great importance to have access to people with good knowledge of taxonomy. In surveys of sediment-living macrofauna, the count of the sorted animals is a very small source of error. On the other hand, variations in the species and wet weight determination can vary between performers and it is therefore important that the method description is followed and that they regularly participate in national and international ring tests. The data should be checked before delivery to the national data host SMHI that make standardized tests and link data to taxonomic databases.	The quality assurance work is following standardized methodology and partly by using Swedac-accredited laboratories. For the work of determining the species of the animals, it is of great importance to have access to people with good knowledge of taxonomy. In surveys of sediment-living macrofauna, the count of the sorted animals is a very small source of error. On the other hand, variations in the species and wet weight determination can vary between performers and it is therefore important that the method description is followed and that they regularly participate in national and international ring tests. The data should be checked before delivery to the national data host SMHI that make standardized tests and link data to taxonomic databases.	The monitoring method is based on locating settlements and determining what activity the sea eagles have engaged in at the settlements. There are several steps that can cause uncertainty in data. One such is, e.g., that newly built so-called alternative nests in previously known territories are not detected and the territory is therefore incorrectly interpreted as "inactive". The inspections of the settlements also include in many cases interpreting "negative data" or "zero data", ie to determine what happened in nests that at the (first) inventory did not have the presence of adult (brooding) sea eagles or young. It is very difficult from the ground to determine whether a seemingly "empty" nest has still been active during the current breeding season. Difficulty in determining the status of "empty" nests can lead to misinterpretations that affect the variable "breeding success" because only the number of active nests is included in this variable. With a helicopter and/or climbing, the possibility of a correct assessment is very good for experienced observers. The inspections of the settlements that take place via climbing to the nest provide reliable data with regard to the number of young at the time of the inspection. However, there is some uncertainty as to whether all chicks registered in May-June reach flight-ready age. Breeding can fail at a later stage, for example due to a nest collapse or predation. Controls of nests from the ground systematically underestimate the litter size, as the eagles' large nests can make young difficult or impossible to detect if the nest is viewed from below. Only nests that have been climbed have therefore been included in the statistics for the Baltic Sea before. Complementing studies during 2017-2018 showed that the correspondence between controls from helicopters and controls via climbing to the nest is high, in about 90% of cases the same result was obtained. Collected data is quality controlled by the responsible project manager at the Swedish Museum of Natural History. Today, there is a need for increased quality assurance and the establishment of common routines for both inventory and registration of the variables within the monitoring. This applies in particular to the components of the variables that include nests that have not produced young. Digitization and supplementation of older inventory data is currently underway.	The monitoring method is based on locating settlements and determining what activity the sea eagles have engaged in at the settlements. There are several steps that can cause uncertainty in data. One such is, e.g., that newly built so-called alternative nests in previously known territories are not detected and the territory is therefore incorrectly interpreted as "inactive". The inspections of the settlements also include in many cases interpreting "negative data" or "zero data", ie to determine what happened in nests that at the (first) inventory did not have the presence of adult (brooding) sea eagles or young. It is very difficult from the ground to determine whether a seemingly "empty" nest has still been active during the current breeding season. Difficulty in determining the status of "empty" nests can lead to misinterpretations that affect the variable "breeding success" because only the number of active nests is included in this variable. With a helicopter and/or climbing, the possibility of a correct assessment is very good for experienced observers. The inspections of the settlements that take place via climbing to the nest provide reliable data with regard to the number of young at the time of the inspection. However, there is some uncertainty as to whether all chicks registered in May-June reach flight-ready age. Breeding can fail at a later stage, for example due to a nest collapse or predation. Controls of nests from the ground systematically underestimate the litter size, as the eagles' large nests can make young difficult or impossible to detect if the nest is viewed from below. Only nests that have been climbed have therefore been included in the statistics for the Baltic Sea before. Complementing studies during 2017-2018 showed that the correspondence between controls from helicopters and controls via climbing to the nest is high, in about 90% of cases the same result was obtained. Collected data is quality controlled by the responsible project manager at the Swedish Museum of Natural History. Today, there is a need for increased quality assurance and the establishment of common routines for both inventory and registration of the variables within the monitoring. This applies in particular to the components of the variables that include nests that have not produced young. Digitization and supplementation of older inventory data is currently underway.
Data management	The raw data collected is stored in SLU Aqua's databases KUL (nets and vendace) and Fiskdata2 (coastal trawling in the North Sea). Data is updated annually and aggregated data is made available upon request to datavard-fisk@slu.se. Common international data is stored at ICES.	The raw data collected is stored in SLU Aqua's databases KUL (nets and vendace) and Fiskdata2 (coastal trawling in the North Sea). Data is updated annually and aggregated data is made available upon request to datavard-fisk@slu.se. Common international data is stored at ICES.	The raw data collected is stored in SLU Aqua's databases KUL (nets and vendace) and Fiskdata2 (coastal trawling in the North Sea). Data is updated annually and aggregated data is made available upon request to datavard-fisk@slu.se. Common international data is stored at ICES.	The raw data collected is stored in SLU Aqua's databases KUL (nets and vendace) and Fiskdata2 (coastal trawling in the North Sea). Data is updated annually and aggregated data is made available upon request to datavard-fisk@slu.se. Common international data is stored at ICES.	The raw data collected is stored in SLU Aqua's databases KUL (nets and vendace) and Fiskdata2 (coastal trawling in the North Sea). Data is updated annually and aggregated data is made available upon request to datavard-fisk@slu.se. Common international data is stored at ICES.	The raw data collected is stored in SLU Aqua's databases KUL (nets and vendace) and Fiskdata2 (coastal trawling in the North Sea). Data is updated annually and aggregated data is made available upon request to datavard-fisk@slu.se. Common international data is stored at ICES.	The raw data collected is stored in SLU Aqua's databases KUL (nets and vendace) and Fiskdata2 (coastal trawling in the North Sea). Data is updated annually and aggregated data is made available upon request to datavard-fisk@slu.se. Common international data is stored at ICES.	The raw data collected is stored in SLU Aqua's databases KUL (nets and vendace) and Fiskdata2 (coastal trawling in the North Sea). Data is updated annually and aggregated data is made available upon request to datavard-fisk@slu.se. Common international data is stored at ICES.													Raw data is stored at SLU Aqua. This data is updated annually and aggregated data is made available upon request. Common international data is stored at ICES	Raw data is stored at SLU Aqua. This data is updated annually and aggregated data is made available upon request. Common international data is stored at ICES	Raw data is stored at SLU Aqua. This data is updated annually and aggregated data is made available upon request. Common international data is stored at ICES	Raw data is stored at SLU Aqua. This data is updated annually and aggregated data is made available upon request. Common international data is stored at ICES	Raw data is stored at SLU Aqua. This data is updated annually and aggregated data is made available upon request. Common international data is stored at ICES	Raw data is stored at SLU Aqua. This data is updated annually and aggregated data is made available upon request. Common international data is stored at ICES	Raw data is stored at SLU Aqua. This data is updated annually and aggregated data is made available upon request. Common international data is stored at ICES	A data hosting agreement with Lund University has been developed and work begun in 2019 to make large parts of the data publicly available and downloadable. Data from the winter counts are also available from the international coordinator of seabird inventories - Wetlands International. Data are fully available and can be obtained via contact with Swedish bird taxation via fageltaxering@biol.lu.se.	A data hosting agreement with Lund University has been developed and work begun in 2019 to make large parts of the data publicly available and downloadable. Data from the winter counts are also available from the international coordinator of seabird inventories - Wetlands International. Data are fully available and can be obtained via contact with Swedish bird taxation via fageltaxering@biol.lu.se.	A data hosting agreement with Lund University has been developed and work begun in 2019 to make large parts of the data publicly available and downloadable. Data from the winter counts are also available from the international coordinator of seabird inventories - Wetlands International. Data are fully available and can be obtained via contact with Swedish bird taxation via fageltaxering@biol.lu.se.	A data hosting agreement with Lund University has been developed and work begun in 2019 to make large parts of the data publicly available and downloadable. Data from the winter counts are also available from the international coordinator of seabird inventories - Wetlands International. Data are fully available and can be obtained via contact with Swedish bird taxation via fageltaxering@biol.lu.se.	A data hosting agreement with Lund University has been developed and work begun in 2019 to make large parts of the data publicly available and downloadable. Data from the winter counts are also available from the international coordinator of seabird inventories - Wetlands International. Data are fully available and can be obtained via contact with Swedish bird taxation via fageltaxering@biol.lu.se.	A data hosting agreement with Lund University has been developed and work begun in 2019 to make large parts of the data publicly available and downloadable. Data from the winter counts are also available from the international coordinator of seabird inventories - Wetlands International. Data are fully available and can be obtained via contact with Swedish bird taxation via fageltaxering@biol.lu.se.	A data hosting agreement with Lund University has been developed and work begun in 2019 to make large parts of the data publicly available and downloadable. Data from the winter counts are also available from the international coordinator of seabird inventories - Wetlands International. Data are fully available and can be obtained via contact with Swedish bird taxation via fageltaxering@biol.lu.se.	A data hosting agreement with Lund University has been developed and work begun in 2019 to make large parts of the data publicly available and downloadable. Data from the winter counts are also available from the international coordinator of seabird inventories - Wetlands International. Data are fully available and can be obtained via contact with Swedish bird taxation via fageltaxering@biol.lu.se.	A data hosting agreement with Lund University has been developed and work begun in 2019 to make large parts of the data publicly available and downloadable. Data from the winter counts are also available from the international coordinator of seabird inventories - Wetlands International. Data are fully available and can be obtained via contact with Swedish bird taxation via fageltaxering@biol.lu.se.	A data hosting agreement with Lund University has been developed and work begun in 2019 to make large parts of the data publicly available and downloadable. Data from the winter counts are also available from the international coordinator of seabird inventories - Wetlands International. Data are fully available and can be obtained via contact with Swedish bird taxation via fageltaxering@biol.lu.se.	A data hosting agreement with Lund University has been developed and work begun in 2019 to make large parts of the data publicly available and downloadable. Data from the winter counts are also available from the international coordinator of seabird inventories - Wetlands International. Data are fully available and can be obtained via contact with Swedish bird taxation via fageltaxering@biol.lu.se.	A data hosting agreement with Lund University has been developed and work begun in 2019 to make large parts of the data publicly available and downloadable. Data from the winter counts are also available from the international coordinator of seabird inventories - Wetlands International. Data are fully available and can be obtained via contact with Swedish bird taxation via fageltaxering@biol.lu.se.	A data hosting agreement with Lund University has been developed and work begun in 2019 to make large parts of the data publicly available and downloadable. Data from the winter counts are also available from the international coordinator of seabird inventories - Wetlands International. Data are fully available and can be obtained via contact with Swedish bird taxation via fageltaxering@biol.lu.se.	A data hosting agreement with Lund University has been developed and work begun in 2019 to make large parts of the data publicly available and downloadable. Data from the winter counts are also available from the international coordinator of seabird inventories - Wetlands International. Data are fully available and can be obtained via contact with Swedish bird taxation via fageltaxering@biol.lu.se.	A data hosting agreement with Lund University has been developed and work begun in 2019 to make large parts of the data publicly available and downloadable. Data from the winter counts are also available from the international coordinator of seabird inventories - Wetlands International. Data are fully available and can be obtained via contact with Swedish bird taxation via fageltaxering@biol.lu.se.	A data hosting agreement with Lund University has been developed and work begun in 2019 to make large parts of the data publicly available and downloadable. Data from the winter counts are also available from the international coordinator of seabird inventories - Wetlands International. Data are fully available and can be obtained via contact with Swedish bird taxation via fageltaxering@biol.lu.se.	A data hosting agreement with Lund University has been developed and work begun in 2019 to make large parts of the data publicly available and downloadable. Data from the winter counts are also available from the international coordinator of seabird inventories - Wetlands International. Data are fully available and can be obtained via contact with Swedish bird taxation via fageltaxering@biol.lu.se.	A data hosting agreement with Lund University has been developed and work begun in 2019 to make large parts of the data publicly available and downloadable. Data from the winter counts are also available from the international coordinator of seabird inventories - Wetlands International. Data are fully available and can be obtained via contact with Swedish bird taxation via fageltaxering@biol.lu.se.	A data hosting agreement with Lund University has been developed and work begun in 2019 to make large parts of the data publicly available and downloadable. Data from the winter counts are also available from the international coordinator of seabird inventories - Wetlands International. Data are fully available and can be obtained via contact with Swedish bird taxation via fageltaxering@biol.lu.se.	A data hosting agreement with Lund University has been developed and work begun in 2019 to make large parts of the data publicly available and downloadable. Data from the winter counts are also available from the international coordinator of seabird inventories - Wetlands International. Data are fully available and can be obtained via contact with Swedish bird taxation via fageltaxering@biol.lu.se.	A data hosting agreement with Lund University has been developed and work begun in 2019 to make large parts of the data publicly available and downloadable. Data from the winter counts are also available from the international coordinator of seabird inventories - Wetlands International. Data are fully available and can be obtained via contact with Swedish bird taxation via fageltaxering@biol.lu.se.																									Reports from the initial pilot study will be published in the spring of 2021. For the time being, the data collected during the development work will be stored and managed by SwAM, but the management will be reviewed and may be transferred to another agency.	Reports from the initial pilot study will be published in the spring of 2021. For the time being, the data collected during the development work will be stored and managed by SwAM, but the management will be reviewed and may be transferred to another agency.	Reports from the initial pilot study will be published in the spring of 2021. For the time being, the data collected during the development work will be stored and managed by SwAM, but the management will be reviewed and may be transferred to another agency.	Reports from the initial pilot study will be published in the spring of 2021. For the time being, the data collected during the development work will be stored and managed by SwAM, but the management will be reviewed and may be transferred to another agency.	Reports from the initial pilot study will be published in the spring of 2021. For the time being, the data collected during the development work will be stored and managed by SwAM, but the management will be reviewed and may be transferred to another agency.	Reports from the initial pilot study will be published in the spring of 2021. For the time being, the data collected during the development work will be stored and managed by SwAM, but the management will be reviewed and may be transferred to another agency.	Reports from the initial pilot study will be published in the spring of 2021. For the time being, the data collected during the development work will be stored and managed by SwAM, but the management will be reviewed and may be transferred to another agency.	Reports from the initial pilot study will be published in the spring of 2021. For the time being, the data collected during the development work will be stored and managed by SwAM, but the management will be reviewed and may be transferred to another agency.	Reports from the initial pilot study will be published in the spring of 2021. For the time being, the data collected during the development work will be stored and managed by SwAM, but the management will be reviewed and may be transferred to another agency.	Reports from the initial pilot study will be published in the spring of 2021. For the time being, the data collected during the development work will be stored and managed by SwAM, but the management will be reviewed and may be transferred to another agency.												Data is stored by the project manager at the Swedish Museum of Natural History. Data for official statistics are obtained from the Swedish Environmental Protection Agency.	Data is stored by the project manager at the Swedish Museum of Natural History. Data for official statistics are obtained from the Swedish Environmental Protection Agency.
Data access	https://www.havochvatten.se/marin-miljoovervakning-kustfisk-data	https://www.havochvatten.se/marin-miljoovervakning-kustfisk-data	https://www.havochvatten.se/marin-miljoovervakning-kustfisk-data	https://www.havochvatten.se/marin-miljoovervakning-kustfisk-data	https://www.havochvatten.se/marin-miljoovervakning-kustfisk-data	https://www.havochvatten.se/marin-miljoovervakning-kustfisk-data	https://www.havochvatten.se/marin-miljoovervakning-kustfisk-data	https://www.havochvatten.se/marin-miljoovervakning-kustfisk-data	https://www.havochvatten.se/marin-miljoovervakning-fisk-utsjon-data	https://www.havochvatten.se/marin-miljoovervakning-fisk-utsjon-data	https://www.havochvatten.se/marin-miljoovervakning-fisk-utsjon-data	https://www.havochvatten.se/marin-miljoovervakning-fisk-utsjon-data	https://www.havochvatten.se/marin-miljoovervakning-fisk-utsjon-data	https://www.havochvatten.se/marin-miljoovervakning-fisk-utsjon-data	https://www.havochvatten.se/marin-miljoovervakning-fisk-utsjon-data	https://www.havochvatten.se/marin-miljoovervakning-fisk-utsjon-data	https://www.havochvatten.se/marin-miljoovervakning-fisk-utsjon-data	https://www.havochvatten.se/marin-miljoovervakning-fisk-utsjon-data	https://www.havochvatten.se/marin-miljoovervakning-fisk-utsjon-data	https://www.havochvatten.se/marin-miljoovervakning-fisk-utsjon-data	https://www.havochvatten.se/marin-miljoovervakning-djur-havsbotten-data	https://www.havochvatten.se/marin-miljoovervakning-djur-havsbotten-data	https://www.havochvatten.se/marin-miljoovervakning-djur-havsbotten-data	https://www.havochvatten.se/marin-miljoovervakning-djur-havsbotten-data	https://www.havochvatten.se/marin-miljoovervakning-djur-havsbotten-data	https://www.havochvatten.se/marin-miljoovervakning-djur-havsbotten-data	https://www.havochvatten.se/marin-miljoovervakning-djur-havsbotten-data	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar-data	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar-data	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar-data	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar-data	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar-data	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar-data	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar-data	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar-data	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar-data	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar-data	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar-data	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar-data	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar-data	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar-data	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar-data	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar-data	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar-data	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar-data	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar-data	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar-data	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar-data	http://www.smhi.se/oceanografi/oce_info_data/SwedODC/data_host_sv.htm	http://www.smhi.se/oceanografi/oce_info_data/SwedODC/data_host_sv.htm	http://www.smhi.se/oceanografi/oce_info_data/SwedODC/data_host_sv.htm	http://www.smhi.se/oceanografi/oce_info_data/SwedODC/data_host_sv.htm	http://www.smhi.se/oceanografi/oce_info_data/SwedODC/data_host_sv.htm	http://www.smhi.se/oceanografi/oce_info_data/SwedODC/data_host_sv.htm	https://www.smhi.se/data/oceanografi/datavardskap-oceanografi-och-marinbiologi/ladda-ner-data-1.135101	https://www.smhi.se/data/oceanografi/datavardskap-oceanografi-och-marinbiologi/ladda-ner-data-1.135101	https://www.smhi.se/data/oceanografi/datavardskap-oceanografi-och-marinbiologi/ladda-ner-data-1.135101	https://www.smhi.se/data/oceanografi/datavardskap-oceanografi-och-marinbiologi/ladda-ner-data-1.135101	https://www.smhi.se/data/oceanografi/datavardskap-oceanografi-och-marinbiologi/ladda-ner-data-1.135101	https://www.smhi.se/data/oceanografi/datavardskap-oceanografi-och-marinbiologi/ladda-ner-data-1.135101	https://www.smhi.se/data/oceanografi/datavardskap-oceanografi-och-marinbiologi/ladda-ner-data-1.135101	https://www.smhi.se/data/oceanografi/datavardskap-oceanografi-och-marinbiologi/ladda-ner-data-1.135101	https://www.smhi.se/data/oceanografi/datavardskap-oceanografi-och-marinbiologi/ladda-ner-data-1.135101	https://www.smhi.se/data/oceanografi/datavardskap-oceanografi-och-marinbiologi/ladda-ner-data-1.135101	https://www.smhi.se/data/oceanografi/datavardskap-oceanografi-och-marinbiologi/ladda-ner-data-1.135101	https://www.smhi.se/data/oceanografi/datavardskap-oceanografi-och-marinbiologi/ladda-ner-data-1.135101	https://www.smhi.se/data/oceanografi/datavardskap-oceanografi-och-marinbiologi/ladda-ner-data-1.135101	https://www.smhi.se/data/oceanografi/datavardskap-oceanografi-och-marinbiologi/ladda-ner-data-1.135101	https://www.smhi.se/data/oceanografi/datavardskap-oceanografi-och-marinbiologi/ladda-ner-data-1.135101	https://www.smhi.se/data/oceanografi/datavardskap-oceanografi-och-marinbiologi/ladda-ner-data-1.135101	https://www.smhi.se/data/oceanografi/datavardskap-oceanografi-och-marinbiologi/ladda-ner-data-1.135101	https://www.smhi.se/data/oceanografi/datavardskap-oceanografi-och-marinbiologi/ladda-ner-data-1.135101	https://www.havochvatten.se/marin-miljoovervakning-bentiska-data	https://www.havochvatten.se/marin-miljoovervakning-bentiska-data	https://www.havochvatten.se/marin-miljoovervakning-bentiska-data	https://www.havochvatten.se/marin-miljoovervakning-bentiska-data	https://www.havochvatten.se/marin-miljoovervakning-bentiska-data	https://www.havochvatten.se/marin-miljoovervakning-bentiska-data	https://www.havochvatten.se/marin-miljoovervakning-bentiska-data	https://www.havochvatten.se/marin-miljoovervakning-bentiska-data	https://www.havochvatten.se/marin-miljoovervakning-bentiska-data	https://www.havochvatten.se/marin-miljoovervakning-bentiska-data	https://sharkweb.smhi.se/	https://sharkweb.smhi.se/	https://sharkweb.smhi.se/	https://sharkweb.smhi.se/	https://sharkweb.smhi.se/	https://www.smhi.se/data/oceanografi/datavardskap-oceanografi-och-marinbiologi/ladda-ner-data-1.135101	https://www.smhi.se/data/oceanografi/datavardskap-oceanografi-och-marinbiologi/ladda-ner-data-1.135101	https://www.smhi.se/data/oceanografi/datavardskap-oceanografi-och-marinbiologi/ladda-ner-data-1.135101	https://www.smhi.se/data/oceanografi/datavardskap-oceanografi-och-marinbiologi/ladda-ner-data-1.135101	https://www.smhi.se/data/oceanografi/datavardskap-oceanografi-och-marinbiologi/ladda-ner-data-1.135101	https://www.smhi.se/data/oceanografi/datavardskap-oceanografi-och-marinbiologi/ladda-ner-data-1.135101	https://www.havochvatten.se/marin-miljoovervakning-havsorn-data	https://www.havochvatten.se/marin-miljoovervakning-havsorn-data
Related indicator/name	1.2F Förekomst av nyckelart av fisk i kustvatten – abborre och skrubbskädda/ 1.2F Abundance of key fish species in coastal waters - perch and flounder 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations 4.2A Abundans av viktiga funktionella grupper av fisk i kustvatten - rovfisk och karpfisk/ 4.2A Abundance of important functional fish groups in coastal waters C.4.2 Storleksstruktur hos nyckelart i kustvatten - torsk/ C.4.2 Size structure in key fish species in coastal waters – cod C.4.3 Storleksstruktur hos nyckelart av fisk i kustvatten – abborre / C.4.3 Size structure in key fish species in coastal waters - perch 1.2G Förekomst av nyckelart av fisk i kustvatten – abundans av stor torsk/ 1.2G Abundance of key fish species in coastal waters - large cod 1.3C Andel stor bottenlevande fisk i fjord- och skärgårdsområden/ 1.3C Proportion of large demersal fish (LFI) in fjord and archipelago areas ANSSE-C.3.2_Lekbiomassa_kom_best�nd ANSSE-C.3.3_H�llbart_nyttjande_arter BALSE-C.3.2_Lekbiomassa_kom_best�nd BALSE-C.3.3_H�llbart_nyttjande_arter	1.2F Förekomst av nyckelart av fisk i kustvatten – abborre och skrubbskädda/ 1.2F Abundance of key fish species in coastal waters - perch and flounder 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations 4.2A Abundans av viktiga funktionella grupper av fisk i kustvatten - rovfisk och karpfisk/ 4.2A Abundance of important functional fish groups in coastal waters C.4.2 Storleksstruktur hos nyckelart i kustvatten - torsk/ C.4.2 Size structure in key fish species in coastal waters – cod C.4.3 Storleksstruktur hos nyckelart av fisk i kustvatten – abborre / C.4.3 Size structure in key fish species in coastal waters - perch 1.2G Förekomst av nyckelart av fisk i kustvatten – abundans av stor torsk/ 1.2G Abundance of key fish species in coastal waters - large cod 1.3C Andel stor bottenlevande fisk i fjord- och skärgårdsområden/ 1.3C Proportion of large demersal fish (LFI) in fjord and archipelago areas ANSSE-C.3.2_Lekbiomassa_kom_best�nd ANSSE-C.3.3_H�llbart_nyttjande_arter BALSE-C.3.2_Lekbiomassa_kom_best�nd BALSE-C.3.3_H�llbart_nyttjande_arter	1.2F Förekomst av nyckelart av fisk i kustvatten – abborre och skrubbskädda/ 1.2F Abundance of key fish species in coastal waters - perch and flounder 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations 4.2A Abundans av viktiga funktionella grupper av fisk i kustvatten - rovfisk och karpfisk/ 4.2A Abundance of important functional fish groups in coastal waters C.4.2 Storleksstruktur hos nyckelart i kustvatten - torsk/ C.4.2 Size structure in key fish species in coastal waters – cod C.4.3 Storleksstruktur hos nyckelart av fisk i kustvatten – abborre / C.4.3 Size structure in key fish species in coastal waters - perch 1.2G Förekomst av nyckelart av fisk i kustvatten – abundans av stor torsk/ 1.2G Abundance of key fish species in coastal waters - large cod 1.3C Andel stor bottenlevande fisk i fjord- och skärgårdsområden/ 1.3C Proportion of large demersal fish (LFI) in fjord and archipelago areas ANSSE-C.3.2_Lekbiomassa_kom_best�nd ANSSE-C.3.3_H�llbart_nyttjande_arter BALSE-C.3.2_Lekbiomassa_kom_best�nd BALSE-C.3.3_H�llbart_nyttjande_arter	1.2F Förekomst av nyckelart av fisk i kustvatten – abborre och skrubbskädda/ 1.2F Abundance of key fish species in coastal waters - perch and flounder 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations 4.2A Abundans av viktiga funktionella grupper av fisk i kustvatten - rovfisk och karpfisk/ 4.2A Abundance of important functional fish groups in coastal waters C.4.2 Storleksstruktur hos nyckelart i kustvatten - torsk/ C.4.2 Size structure in key fish species in coastal waters – cod C.4.3 Storleksstruktur hos nyckelart av fisk i kustvatten – abborre / C.4.3 Size structure in key fish species in coastal waters - perch 1.2G Förekomst av nyckelart av fisk i kustvatten – abundans av stor torsk/ 1.2G Abundance of key fish species in coastal waters - large cod 1.3C Andel stor bottenlevande fisk i fjord- och skärgårdsområden/ 1.3C Proportion of large demersal fish (LFI) in fjord and archipelago areas ANSSE-C.3.2_Lekbiomassa_kom_best�nd ANSSE-C.3.3_H�llbart_nyttjande_arter BALSE-C.3.2_Lekbiomassa_kom_best�nd BALSE-C.3.3_H�llbart_nyttjande_arter	1.2F Förekomst av nyckelart av fisk i kustvatten – abborre och skrubbskädda/ 1.2F Abundance of key fish species in coastal waters - perch and flounder 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations 4.2A Abundans av viktiga funktionella grupper av fisk i kustvatten - rovfisk och karpfisk/ 4.2A Abundance of important functional fish groups in coastal waters C.4.2 Storleksstruktur hos nyckelart i kustvatten - torsk/ C.4.2 Size structure in key fish species in coastal waters – cod C.4.3 Storleksstruktur hos nyckelart av fisk i kustvatten – abborre / C.4.3 Size structure in key fish species in coastal waters - perch 1.2G Förekomst av nyckelart av fisk i kustvatten – abundans av stor torsk/ 1.2G Abundance of key fish species in coastal waters - large cod 1.3C Andel stor bottenlevande fisk i fjord- och skärgårdsområden/ 1.3C Proportion of large demersal fish (LFI) in fjord and archipelago areas ANSSE-C.3.2_Lekbiomassa_kom_best�nd ANSSE-C.3.3_H�llbart_nyttjande_arter BALSE-C.3.2_Lekbiomassa_kom_best�nd BALSE-C.3.3_H�llbart_nyttjande_arter	1.2F Förekomst av nyckelart av fisk i kustvatten – abborre och skrubbskädda/ 1.2F Abundance of key fish species in coastal waters - perch and flounder 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations 4.2A Abundans av viktiga funktionella grupper av fisk i kustvatten - rovfisk och karpfisk/ 4.2A Abundance of important functional fish groups in coastal waters C.4.2 Storleksstruktur hos nyckelart i kustvatten - torsk/ C.4.2 Size structure in key fish species in coastal waters – cod C.4.3 Storleksstruktur hos nyckelart av fisk i kustvatten – abborre / C.4.3 Size structure in key fish species in coastal waters - perch 1.2G Förekomst av nyckelart av fisk i kustvatten – abundans av stor torsk/ 1.2G Abundance of key fish species in coastal waters - large cod 1.3C Andel stor bottenlevande fisk i fjord- och skärgårdsområden/ 1.3C Proportion of large demersal fish (LFI) in fjord and archipelago areas ANSSE-C.3.2_Lekbiomassa_kom_best�nd ANSSE-C.3.3_H�llbart_nyttjande_arter BALSE-C.3.2_Lekbiomassa_kom_best�nd BALSE-C.3.3_H�llbart_nyttjande_arter	1.2F Förekomst av nyckelart av fisk i kustvatten – abborre och skrubbskädda/ 1.2F Abundance of key fish species in coastal waters - perch and flounder 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations 4.2A Abundans av viktiga funktionella grupper av fisk i kustvatten - rovfisk och karpfisk/ 4.2A Abundance of important functional fish groups in coastal waters C.4.2 Storleksstruktur hos nyckelart i kustvatten - torsk/ C.4.2 Size structure in key fish species in coastal waters – cod C.4.3 Storleksstruktur hos nyckelart av fisk i kustvatten – abborre / C.4.3 Size structure in key fish species in coastal waters - perch 1.2G Förekomst av nyckelart av fisk i kustvatten – abundans av stor torsk/ 1.2G Abundance of key fish species in coastal waters - large cod 1.3C Andel stor bottenlevande fisk i fjord- och skärgårdsområden/ 1.3C Proportion of large demersal fish (LFI) in fjord and archipelago areas ANSSE-C.3.2_Lekbiomassa_kom_best�nd ANSSE-C.3.3_H�llbart_nyttjande_arter BALSE-C.3.2_Lekbiomassa_kom_best�nd BALSE-C.3.3_H�llbart_nyttjande_arter	1.2F Förekomst av nyckelart av fisk i kustvatten – abborre och skrubbskädda/ 1.2F Abundance of key fish species in coastal waters - perch and flounder 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations 4.2A Abundans av viktiga funktionella grupper av fisk i kustvatten - rovfisk och karpfisk/ 4.2A Abundance of important functional fish groups in coastal waters C.4.2 Storleksstruktur hos nyckelart i kustvatten - torsk/ C.4.2 Size structure in key fish species in coastal waters – cod C.4.3 Storleksstruktur hos nyckelart av fisk i kustvatten – abborre / C.4.3 Size structure in key fish species in coastal waters - perch 1.2G Förekomst av nyckelart av fisk i kustvatten – abundans av stor torsk/ 1.2G Abundance of key fish species in coastal waters - large cod 1.3C Andel stor bottenlevande fisk i fjord- och skärgårdsområden/ 1.3C Proportion of large demersal fish (LFI) in fjord and archipelago areas ANSSE-C.3.2_Lekbiomassa_kom_best�nd ANSSE-C.3.3_H�llbart_nyttjande_arter BALSE-C.3.2_Lekbiomassa_kom_best�nd BALSE-C.3.3_H�llbart_nyttjande_arter	1.2H Lekbiomassa (SSB) för pelagiska och demersala fiskarter/ 1.2H Spawning stock biomass (SSB) for pelagic and demersal fish species 1.2H Lekbiomassa (SSB) för pelagiska och demersala fiskarter/ 1.2H Spawning stock biomass (SSB) for pelagic and demersal fish species 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations ANSSE-3.1A_Fiskerid�dlighet ANSSE-C.3.2_Lekbiomassa_kom_best�nd ANSSE-C.3.3_H�llbart_nyttjande_arter ANSSE-C.4.1_Storleksstruktur_fisk_utsj� BALSE-3.1A_Fiskerid�dlighet BALSE-C.3.2_Lekbiomassa_kom_best�nd BALSE-C.3.3_H�llbart_nyttjande_arter BALSE-C.4.1_Storleksstruktur_fisk_utsj�	1.2H Lekbiomassa (SSB) för pelagiska och demersala fiskarter/ 1.2H Spawning stock biomass (SSB) for pelagic and demersal fish species 1.2H Lekbiomassa (SSB) för pelagiska och demersala fiskarter/ 1.2H Spawning stock biomass (SSB) for pelagic and demersal fish species 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations ANSSE-3.1A_Fiskerid�dlighet ANSSE-C.3.2_Lekbiomassa_kom_best�nd ANSSE-C.3.3_H�llbart_nyttjande_arter ANSSE-C.4.1_Storleksstruktur_fisk_utsj� BALSE-3.1A_Fiskerid�dlighet BALSE-C.3.2_Lekbiomassa_kom_best�nd BALSE-C.3.3_H�llbart_nyttjande_arter BALSE-C.4.1_Storleksstruktur_fisk_utsj�	1.2H Lekbiomassa (SSB) för pelagiska och demersala fiskarter/ 1.2H Spawning stock biomass (SSB) for pelagic and demersal fish species 1.2H Lekbiomassa (SSB) för pelagiska och demersala fiskarter/ 1.2H Spawning stock biomass (SSB) for pelagic and demersal fish species 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations ANSSE-3.1A_Fiskerid�dlighet ANSSE-C.3.2_Lekbiomassa_kom_best�nd ANSSE-C.3.3_H�llbart_nyttjande_arter ANSSE-C.4.1_Storleksstruktur_fisk_utsj� BALSE-3.1A_Fiskerid�dlighet BALSE-C.3.2_Lekbiomassa_kom_best�nd BALSE-C.3.3_H�llbart_nyttjande_arter BALSE-C.4.1_Storleksstruktur_fisk_utsj�	1.2H Lekbiomassa (SSB) för pelagiska och demersala fiskarter/ 1.2H Spawning stock biomass (SSB) for pelagic and demersal fish species 1.2H Lekbiomassa (SSB) för pelagiska och demersala fiskarter/ 1.2H Spawning stock biomass (SSB) for pelagic and demersal fish species 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations ANSSE-3.1A_Fiskerid�dlighet ANSSE-C.3.2_Lekbiomassa_kom_best�nd ANSSE-C.3.3_H�llbart_nyttjande_arter ANSSE-C.4.1_Storleksstruktur_fisk_utsj� BALSE-3.1A_Fiskerid�dlighet BALSE-C.3.2_Lekbiomassa_kom_best�nd BALSE-C.3.3_H�llbart_nyttjande_arter BALSE-C.4.1_Storleksstruktur_fisk_utsj�	1.2H Lekbiomassa (SSB) för pelagiska och demersala fiskarter/ 1.2H Spawning stock biomass (SSB) for pelagic and demersal fish species 1.2H Lekbiomassa (SSB) för pelagiska och demersala fiskarter/ 1.2H Spawning stock biomass (SSB) for pelagic and demersal fish species 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations ANSSE-3.1A_Fiskerid�dlighet ANSSE-C.3.2_Lekbiomassa_kom_best�nd ANSSE-C.3.3_H�llbart_nyttjande_arter ANSSE-C.4.1_Storleksstruktur_fisk_utsj� BALSE-3.1A_Fiskerid�dlighet BALSE-C.3.2_Lekbiomassa_kom_best�nd BALSE-C.3.3_H�llbart_nyttjande_arter BALSE-C.4.1_Storleksstruktur_fisk_utsj�	1.2H Lekbiomassa (SSB) för pelagiska och demersala fiskarter/ 1.2H Spawning stock biomass (SSB) for pelagic and demersal fish species 1.2H Lekbiomassa (SSB) för pelagiska och demersala fiskarter/ 1.2H Spawning stock biomass (SSB) for pelagic and demersal fish species 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations ANSSE-3.1A_Fiskerid�dlighet ANSSE-C.3.2_Lekbiomassa_kom_best�nd ANSSE-C.3.3_H�llbart_nyttjande_arter ANSSE-C.4.1_Storleksstruktur_fisk_utsj� BALSE-3.1A_Fiskerid�dlighet BALSE-C.3.2_Lekbiomassa_kom_best�nd BALSE-C.3.3_H�llbart_nyttjande_arter BALSE-C.4.1_Storleksstruktur_fisk_utsj�	1.2H Lekbiomassa (SSB) för pelagiska och demersala fiskarter/ 1.2H Spawning stock biomass (SSB) for pelagic and demersal fish species 1.2H Lekbiomassa (SSB) för pelagiska och demersala fiskarter/ 1.2H Spawning stock biomass (SSB) for pelagic and demersal fish species 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations ANSSE-3.1A_Fiskerid�dlighet ANSSE-C.3.2_Lekbiomassa_kom_best�nd ANSSE-C.3.3_H�llbart_nyttjande_arter ANSSE-C.4.1_Storleksstruktur_fisk_utsj� BALSE-3.1A_Fiskerid�dlighet BALSE-C.3.2_Lekbiomassa_kom_best�nd BALSE-C.3.3_H�llbart_nyttjande_arter BALSE-C.4.1_Storleksstruktur_fisk_utsj�	1.2H Lekbiomassa (SSB) för pelagiska och demersala fiskarter/ 1.2H Spawning stock biomass (SSB) for pelagic and demersal fish species 1.2H Lekbiomassa (SSB) för pelagiska och demersala fiskarter/ 1.2H Spawning stock biomass (SSB) for pelagic and demersal fish species 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations ANSSE-3.1A_Fiskerid�dlighet ANSSE-C.3.2_Lekbiomassa_kom_best�nd ANSSE-C.3.3_H�llbart_nyttjande_arter ANSSE-C.4.1_Storleksstruktur_fisk_utsj� BALSE-3.1A_Fiskerid�dlighet BALSE-C.3.2_Lekbiomassa_kom_best�nd BALSE-C.3.3_H�llbart_nyttjande_arter BALSE-C.4.1_Storleksstruktur_fisk_utsj�	1.2H Lekbiomassa (SSB) för pelagiska och demersala fiskarter/ 1.2H Spawning stock biomass (SSB) for pelagic and demersal fish species 1.2H Lekbiomassa (SSB) för pelagiska och demersala fiskarter/ 1.2H Spawning stock biomass (SSB) for pelagic and demersal fish species 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations ANSSE-3.1A_Fiskerid�dlighet ANSSE-C.3.2_Lekbiomassa_kom_best�nd ANSSE-C.3.3_H�llbart_nyttjande_arter ANSSE-C.4.1_Storleksstruktur_fisk_utsj� BALSE-3.1A_Fiskerid�dlighet BALSE-C.3.2_Lekbiomassa_kom_best�nd BALSE-C.3.3_H�llbart_nyttjande_arter BALSE-C.4.1_Storleksstruktur_fisk_utsj�	1.2H Lekbiomassa (SSB) för pelagiska och demersala fiskarter/ 1.2H Spawning stock biomass (SSB) for pelagic and demersal fish species 1.2H Lekbiomassa (SSB) för pelagiska och demersala fiskarter/ 1.2H Spawning stock biomass (SSB) for pelagic and demersal fish species 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations ANSSE-3.1A_Fiskerid�dlighet ANSSE-C.3.2_Lekbiomassa_kom_best�nd ANSSE-C.3.3_H�llbart_nyttjande_arter ANSSE-C.4.1_Storleksstruktur_fisk_utsj� BALSE-3.1A_Fiskerid�dlighet BALSE-C.3.2_Lekbiomassa_kom_best�nd BALSE-C.3.3_H�llbart_nyttjande_arter BALSE-C.4.1_Storleksstruktur_fisk_utsj�	1.2H Lekbiomassa (SSB) för pelagiska och demersala fiskarter/ 1.2H Spawning stock biomass (SSB) for pelagic and demersal fish species 1.2H Lekbiomassa (SSB) för pelagiska och demersala fiskarter/ 1.2H Spawning stock biomass (SSB) for pelagic and demersal fish species 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations ANSSE-3.1A_Fiskerid�dlighet ANSSE-C.3.2_Lekbiomassa_kom_best�nd ANSSE-C.3.3_H�llbart_nyttjande_arter ANSSE-C.4.1_Storleksstruktur_fisk_utsj� BALSE-3.1A_Fiskerid�dlighet BALSE-C.3.2_Lekbiomassa_kom_best�nd BALSE-C.3.3_H�llbart_nyttjande_arter BALSE-C.4.1_Storleksstruktur_fisk_utsj�	1.2H Lekbiomassa (SSB) för pelagiska och demersala fiskarter/ 1.2H Spawning stock biomass (SSB) for pelagic and demersal fish species 1.2H Lekbiomassa (SSB) för pelagiska och demersala fiskarter/ 1.2H Spawning stock biomass (SSB) for pelagic and demersal fish species 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations 3.2A Lekbiomassa (SSB) för alla kommersiellt nyttjade populationer/ 3.2A Spawning stock biomass (SSB) for all commercially exploited populations ANSSE-3.1A_Fiskerid�dlighet ANSSE-C.3.2_Lekbiomassa_kom_best�nd ANSSE-C.3.3_H�llbart_nyttjande_arter ANSSE-C.4.1_Storleksstruktur_fisk_utsj� BALSE-3.1A_Fiskerid�dlighet BALSE-C.3.2_Lekbiomassa_kom_best�nd BALSE-C.3.3_H�llbart_nyttjande_arter BALSE-C.4.1_Storleksstruktur_fisk_utsj�								ANSSE-1.2A_Abund_h�ckande_f�gel ANSSE-1.2B_Abund_�vervintrande_f�gel BALSE-1.2A_Abund_h�ckande_f�gel	ANSSE-1.2A_Abund_h�ckande_f�gel ANSSE-1.2B_Abund_�vervintrande_f�gel BALSE-1.2A_Abund_h�ckande_f�gel	ANSSE-1.2A_Abund_h�ckande_f�gel ANSSE-1.2B_Abund_�vervintrande_f�gel BALSE-1.2A_Abund_h�ckande_f�gel	ANSSE-1.2A_Abund_h�ckande_f�gel ANSSE-1.2B_Abund_�vervintrande_f�gel BALSE-1.2A_Abund_h�ckande_f�gel	ANSSE-1.2A_Abund_h�ckande_f�gel ANSSE-1.2B_Abund_�vervintrande_f�gel BALSE-1.2A_Abund_h�ckande_f�gel	ANSSE-1.2A_Abund_h�ckande_f�gel ANSSE-1.2B_Abund_�vervintrande_f�gel BALSE-1.2A_Abund_h�ckande_f�gel	ANSSE-1.2A_Abund_h�ckande_f�gel ANSSE-1.2B_Abund_�vervintrande_f�gel BALSE-1.2A_Abund_h�ckande_f�gel	ANSSE-1.2A_Abund_h�ckande_f�gel ANSSE-1.2B_Abund_�vervintrande_f�gel BALSE-1.2A_Abund_h�ckande_f�gel	ANSSE-1.2A_Abund_h�ckande_f�gel ANSSE-1.2B_Abund_�vervintrande_f�gel BALSE-1.2A_Abund_h�ckande_f�gel	ANSSE-1.2A_Abund_h�ckande_f�gel ANSSE-1.2B_Abund_�vervintrande_f�gel BALSE-1.2A_Abund_h�ckande_f�gel	ANSSE-1.2A_Abund_h�ckande_f�gel ANSSE-1.2B_Abund_�vervintrande_f�gel BALSE-1.2A_Abund_h�ckande_f�gel	ANSSE-1.2A_Abund_h�ckande_f�gel ANSSE-1.2B_Abund_�vervintrande_f�gel BALSE-1.2A_Abund_h�ckande_f�gel	ANSSE-1.2A_Abund_h�ckande_f�gel ANSSE-1.2B_Abund_�vervintrande_f�gel BALSE-1.2A_Abund_h�ckande_f�gel	ANSSE-1.2A_Abund_h�ckande_f�gel ANSSE-1.2B_Abund_�vervintrande_f�gel BALSE-1.2A_Abund_h�ckande_f�gel	ANSSE-1.2A_Abund_h�ckande_f�gel ANSSE-1.2B_Abund_�vervintrande_f�gel BALSE-1.2A_Abund_h�ckande_f�gel	ANSSE-1.2A_Abund_h�ckande_f�gel ANSSE-1.2B_Abund_�vervintrande_f�gel BALSE-1.2A_Abund_h�ckande_f�gel	ANSSE-1.2A_Abund_h�ckande_f�gel ANSSE-1.2B_Abund_�vervintrande_f�gel BALSE-1.2A_Abund_h�ckande_f�gel	ANSSE-1.2A_Abund_h�ckande_f�gel ANSSE-1.2B_Abund_�vervintrande_f�gel BALSE-1.2A_Abund_h�ckande_f�gel	ANSSE-1.2A_Abund_h�ckande_f�gel ANSSE-1.2B_Abund_�vervintrande_f�gel BALSE-1.2A_Abund_h�ckande_f�gel	ANSSE-1.2A_Abund_h�ckande_f�gel ANSSE-1.2B_Abund_�vervintrande_f�gel BALSE-1.2A_Abund_h�ckande_f�gel	ANSSE-1.2A_Abund_h�ckande_f�gel ANSSE-1.2B_Abund_�vervintrande_f�gel BALSE-1.2A_Abund_h�ckande_f�gel	ANSSE-1.2D_Abund_trend_knubbs�l ANSSE-1.4A_Utbredning_gr�s�l ANSSE-1.4B_Utbredning_knubbs�l BALSE-1.2C_Abund_trend_ gr�s�l BALSE-1.2D_Abund_trend_knubbs�l BALSE-1.2E_Abund_trend_vikares�l BALSE-1.4A_Utbredning_gr�s�l BALSE-1.4B_Utbredning_knubbs�l BALSE-1.4C_Utbredning_vikares�l	ANSSE-1.2D_Abund_trend_knubbs�l ANSSE-1.4A_Utbredning_gr�s�l ANSSE-1.4B_Utbredning_knubbs�l BALSE-1.2C_Abund_trend_ gr�s�l BALSE-1.2D_Abund_trend_knubbs�l BALSE-1.2E_Abund_trend_vikares�l BALSE-1.4A_Utbredning_gr�s�l BALSE-1.4B_Utbredning_knubbs�l BALSE-1.4C_Utbredning_vikares�l	ANSSE-1.2D_Abund_trend_knubbs�l ANSSE-1.4A_Utbredning_gr�s�l ANSSE-1.4B_Utbredning_knubbs�l BALSE-1.2C_Abund_trend_ gr�s�l BALSE-1.2D_Abund_trend_knubbs�l BALSE-1.2E_Abund_trend_vikares�l BALSE-1.4A_Utbredning_gr�s�l BALSE-1.4B_Utbredning_knubbs�l BALSE-1.4C_Utbredning_vikares�l	ANSSE-1.2D_Abund_trend_knubbs�l ANSSE-1.4A_Utbredning_gr�s�l ANSSE-1.4B_Utbredning_knubbs�l BALSE-1.2C_Abund_trend_ gr�s�l BALSE-1.2D_Abund_trend_knubbs�l BALSE-1.2E_Abund_trend_vikares�l BALSE-1.4A_Utbredning_gr�s�l BALSE-1.4B_Utbredning_knubbs�l BALSE-1.4C_Utbredning_vikares�l	ANSSE-1.2D_Abund_trend_knubbs�l ANSSE-1.4A_Utbredning_gr�s�l ANSSE-1.4B_Utbredning_knubbs�l BALSE-1.2C_Abund_trend_ gr�s�l BALSE-1.2D_Abund_trend_knubbs�l BALSE-1.2E_Abund_trend_vikares�l BALSE-1.4A_Utbredning_gr�s�l BALSE-1.4B_Utbredning_knubbs�l BALSE-1.4C_Utbredning_vikares�l	ANSSE-1.2D_Abund_trend_knubbs�l ANSSE-1.4A_Utbredning_gr�s�l ANSSE-1.4B_Utbredning_knubbs�l BALSE-1.2C_Abund_trend_ gr�s�l BALSE-1.2D_Abund_trend_knubbs�l BALSE-1.2E_Abund_trend_vikares�l BALSE-1.4A_Utbredning_gr�s�l BALSE-1.4B_Utbredning_knubbs�l BALSE-1.4C_Utbredning_vikares�l					5.7A Djuputbredning av makrovegetation i kustvatten/ 5.7A Depth distribution of perennial seaweeds and seagrasses in coastal waters 5.7A Djuputbredning av makrovegetation i kustvatten/ 5.7A Depth distribution of perennial seaweeds and seagrasses in coastal waters	5.7A Djuputbredning av makrovegetation i kustvatten/ 5.7A Depth distribution of perennial seaweeds and seagrasses in coastal waters 5.7A Djuputbredning av makrovegetation i kustvatten/ 5.7A Depth distribution of perennial seaweeds and seagrasses in coastal waters	5.7A Djuputbredning av makrovegetation i kustvatten/ 5.7A Depth distribution of perennial seaweeds and seagrasses in coastal waters 5.7A Djuputbredning av makrovegetation i kustvatten/ 5.7A Depth distribution of perennial seaweeds and seagrasses in coastal waters	5.7A Djuputbredning av makrovegetation i kustvatten/ 5.7A Depth distribution of perennial seaweeds and seagrasses in coastal waters 5.7A Djuputbredning av makrovegetation i kustvatten/ 5.7A Depth distribution of perennial seaweeds and seagrasses in coastal waters	5.7A Djuputbredning av makrovegetation i kustvatten/ 5.7A Depth distribution of perennial seaweeds and seagrasses in coastal waters 5.7A Djuputbredning av makrovegetation i kustvatten/ 5.7A Depth distribution of perennial seaweeds and seagrasses in coastal waters	5.2A Biomassa växtplankton i kustvatten (klorofyll a-koncentration och biovolym)/ 5.2A Biomass of phytoplankton in coastal waters (chlorophyll a concentration, and biovolume) 5.2A Biomassa växtplankton i kustvatten (klorofyll a-koncentration och biovolym)/ 5.2A Biomass of phytoplankton in coastal waters (chlorophyll a concentration, and biovolume) ANSSE-1.6B_Art_v�xtplankton ANSSE-5.2B_Klorofyll_utsj� ANSSE-5.3B_Skadliga_alger_V�sterhavet BALSE-1.6B_Art_v�xtplankton BALSE-5.2B_Klorofyll_utsj� BALSE-5.3A_Skadliga_alger_�stersj�n	5.2A Biomassa växtplankton i kustvatten (klorofyll a-koncentration och biovolym)/ 5.2A Biomass of phytoplankton in coastal waters (chlorophyll a concentration, and biovolume) 5.2A Biomassa växtplankton i kustvatten (klorofyll a-koncentration och biovolym)/ 5.2A Biomass of phytoplankton in coastal waters (chlorophyll a concentration, and biovolume) ANSSE-1.6B_Art_v�xtplankton ANSSE-5.2B_Klorofyll_utsj� ANSSE-5.3B_Skadliga_alger_V�sterhavet BALSE-1.6B_Art_v�xtplankton BALSE-5.2B_Klorofyll_utsj� BALSE-5.3A_Skadliga_alger_�stersj�n	5.2A Biomassa växtplankton i kustvatten (klorofyll a-koncentration och biovolym)/ 5.2A Biomass of phytoplankton in coastal waters (chlorophyll a concentration, and biovolume) 5.2A Biomassa växtplankton i kustvatten (klorofyll a-koncentration och biovolym)/ 5.2A Biomass of phytoplankton in coastal waters (chlorophyll a concentration, and biovolume) ANSSE-1.6B_Art_v�xtplankton ANSSE-5.2B_Klorofyll_utsj� ANSSE-5.3B_Skadliga_alger_V�sterhavet BALSE-1.6B_Art_v�xtplankton BALSE-5.2B_Klorofyll_utsj� BALSE-5.3A_Skadliga_alger_�stersj�n	5.2A Biomassa växtplankton i kustvatten (klorofyll a-koncentration och biovolym)/ 5.2A Biomass of phytoplankton in coastal waters (chlorophyll a concentration, and biovolume) 5.2A Biomassa växtplankton i kustvatten (klorofyll a-koncentration och biovolym)/ 5.2A Biomass of phytoplankton in coastal waters (chlorophyll a concentration, and biovolume) ANSSE-1.6B_Art_v�xtplankton ANSSE-5.2B_Klorofyll_utsj� ANSSE-5.3B_Skadliga_alger_V�sterhavet BALSE-1.6B_Art_v�xtplankton BALSE-5.2B_Klorofyll_utsj� BALSE-5.3A_Skadliga_alger_�stersj�n	5.2A Biomassa växtplankton i kustvatten (klorofyll a-koncentration och biovolym)/ 5.2A Biomass of phytoplankton in coastal waters (chlorophyll a concentration, and biovolume) 5.2A Biomassa växtplankton i kustvatten (klorofyll a-koncentration och biovolym)/ 5.2A Biomass of phytoplankton in coastal waters (chlorophyll a concentration, and biovolume) ANSSE-1.6B_Art_v�xtplankton ANSSE-5.2B_Klorofyll_utsj� ANSSE-5.3B_Skadliga_alger_V�sterhavet BALSE-1.6B_Art_v�xtplankton BALSE-5.2B_Klorofyll_utsj� BALSE-5.3A_Skadliga_alger_�stersj�n	5.2A Biomassa växtplankton i kustvatten (klorofyll a-koncentration och biovolym)/ 5.2A Biomass of phytoplankton in coastal waters (chlorophyll a concentration, and biovolume) 5.2A Biomassa växtplankton i kustvatten (klorofyll a-koncentration och biovolym)/ 5.2A Biomass of phytoplankton in coastal waters (chlorophyll a concentration, and biovolume) ANSSE-1.6B_Art_v�xtplankton ANSSE-5.2B_Klorofyll_utsj� ANSSE-5.3B_Skadliga_alger_V�sterhavet BALSE-1.6B_Art_v�xtplankton BALSE-5.2B_Klorofyll_utsj� BALSE-5.3A_Skadliga_alger_�stersj�n	5.2A Biomassa växtplankton i kustvatten (klorofyll a-koncentration och biovolym)/ 5.2A Biomass of phytoplankton in coastal waters (chlorophyll a concentration, and biovolume) 5.2A Biomassa växtplankton i kustvatten (klorofyll a-koncentration och biovolym)/ 5.2A Biomass of phytoplankton in coastal waters (chlorophyll a concentration, and biovolume) ANSSE-1.6B_Art_v�xtplankton ANSSE-5.2B_Klorofyll_utsj� ANSSE-5.3B_Skadliga_alger_V�sterhavet BALSE-1.6B_Art_v�xtplankton BALSE-5.2B_Klorofyll_utsj� BALSE-5.3A_Skadliga_alger_�stersj�n	5.2A Biomassa växtplankton i kustvatten (klorofyll a-koncentration och biovolym)/ 5.2A Biomass of phytoplankton in coastal waters (chlorophyll a concentration, and biovolume) 5.2A Biomassa växtplankton i kustvatten (klorofyll a-koncentration och biovolym)/ 5.2A Biomass of phytoplankton in coastal waters (chlorophyll a concentration, and biovolume) ANSSE-1.6B_Art_v�xtplankton ANSSE-5.2B_Klorofyll_utsj� ANSSE-5.3B_Skadliga_alger_V�sterhavet BALSE-1.6B_Art_v�xtplankton BALSE-5.2B_Klorofyll_utsj� BALSE-5.3A_Skadliga_alger_�stersj�n	5.2A Biomassa växtplankton i kustvatten (klorofyll a-koncentration och biovolym)/ 5.2A Biomass of phytoplankton in coastal waters (chlorophyll a concentration, and biovolume) 5.2A Biomassa växtplankton i kustvatten (klorofyll a-koncentration och biovolym)/ 5.2A Biomass of phytoplankton in coastal waters (chlorophyll a concentration, and biovolume) ANSSE-1.6B_Art_v�xtplankton ANSSE-5.2B_Klorofyll_utsj� ANSSE-5.3B_Skadliga_alger_V�sterhavet BALSE-1.6B_Art_v�xtplankton BALSE-5.2B_Klorofyll_utsj� BALSE-5.3A_Skadliga_alger_�stersj�n	ANSSE-6.3A_Fysisk_st�rning_bent_livsmilj� ANSSE-D.1.2_F�rlust_sandbankar_rev BALSE-D.1.2_F�rlust_sandbankar_rev	ANSSE-6.3A_Fysisk_st�rning_bent_livsmilj� ANSSE-D.1.2_F�rlust_sandbankar_rev BALSE-D.1.2_F�rlust_sandbankar_rev	ANSSE-6.3A_Fysisk_st�rning_bent_livsmilj� ANSSE-D.1.2_F�rlust_sandbankar_rev BALSE-D.1.2_F�rlust_sandbankar_rev	ANSSE-6.3A_Fysisk_st�rning_bent_livsmilj� ANSSE-D.1.2_F�rlust_sandbankar_rev BALSE-D.1.2_F�rlust_sandbankar_rev	ANSSE-6.3A_Fysisk_st�rning_bent_livsmilj� ANSSE-D.1.2_F�rlust_sandbankar_rev BALSE-D.1.2_F�rlust_sandbankar_rev	ANSSE-6.3A_Fysisk_st�rning_bent_livsmilj� ANSSE-D.1.2_F�rlust_sandbankar_rev BALSE-D.1.2_F�rlust_sandbankar_rev	ANSSE-6.3A_Fysisk_st�rning_bent_livsmilj� ANSSE-D.1.2_F�rlust_sandbankar_rev BALSE-D.1.2_F�rlust_sandbankar_rev	ANSSE-6.3A_Fysisk_st�rning_bent_livsmilj� ANSSE-D.1.2_F�rlust_sandbankar_rev BALSE-D.1.2_F�rlust_sandbankar_rev	ANSSE-6.3A_Fysisk_st�rning_bent_livsmilj� ANSSE-D.1.2_F�rlust_sandbankar_rev BALSE-D.1.2_F�rlust_sandbankar_rev	ANSSE-6.3A_Fysisk_st�rning_bent_livsmilj� ANSSE-D.1.2_F�rlust_sandbankar_rev BALSE-D.1.2_F�rlust_sandbankar_rev	ANSSE-1.3A_Dr�ktighet_gr�s�l ANSSE-1.3B_Sp�cktjocklek_gr�s�l BALSE-1.3A_Dr�ktighet_gr�s�l BALSE-1.3B_Sp�cktjocklek_gr�s�l	ANSSE-1.3A_Dr�ktighet_gr�s�l ANSSE-1.3B_Sp�cktjocklek_gr�s�l BALSE-1.3A_Dr�ktighet_gr�s�l BALSE-1.3B_Sp�cktjocklek_gr�s�l	ANSSE-1.3A_Dr�ktighet_gr�s�l ANSSE-1.3B_Sp�cktjocklek_gr�s�l BALSE-1.3A_Dr�ktighet_gr�s�l BALSE-1.3B_Sp�cktjocklek_gr�s�l	ANSSE-1.3A_Dr�ktighet_gr�s�l ANSSE-1.3B_Sp�cktjocklek_gr�s�l BALSE-1.3A_Dr�ktighet_gr�s�l BALSE-1.3B_Sp�cktjocklek_gr�s�l	ANSSE-1.3A_Dr�ktighet_gr�s�l ANSSE-1.3B_Sp�cktjocklek_gr�s�l BALSE-1.3A_Dr�ktighet_gr�s�l BALSE-1.3B_Sp�cktjocklek_gr�s�l	5.8A Bottenfauna i kustvatten/ 5.8A Benthic fauna Quality Index (BQI) for coastal waters 5.8A Bottenfauna i kustvatten/ 5.8A Benthic fauna Quality Index (BQI) for coastal waters ANSSE-5.8B_Bottenfauna_utsj� BALSE-5.8B_Bottenfauna_utsj�	5.8A Bottenfauna i kustvatten/ 5.8A Benthic fauna Quality Index (BQI) for coastal waters 5.8A Bottenfauna i kustvatten/ 5.8A Benthic fauna Quality Index (BQI) for coastal waters ANSSE-5.8B_Bottenfauna_utsj� BALSE-5.8B_Bottenfauna_utsj�	5.8A Bottenfauna i kustvatten/ 5.8A Benthic fauna Quality Index (BQI) for coastal waters 5.8A Bottenfauna i kustvatten/ 5.8A Benthic fauna Quality Index (BQI) for coastal waters ANSSE-5.8B_Bottenfauna_utsj� BALSE-5.8B_Bottenfauna_utsj�	5.8A Bottenfauna i kustvatten/ 5.8A Benthic fauna Quality Index (BQI) for coastal waters 5.8A Bottenfauna i kustvatten/ 5.8A Benthic fauna Quality Index (BQI) for coastal waters ANSSE-5.8B_Bottenfauna_utsj� BALSE-5.8B_Bottenfauna_utsj�	5.8A Bottenfauna i kustvatten/ 5.8A Benthic fauna Quality Index (BQI) for coastal waters 5.8A Bottenfauna i kustvatten/ 5.8A Benthic fauna Quality Index (BQI) for coastal waters ANSSE-5.8B_Bottenfauna_utsj� BALSE-5.8B_Bottenfauna_utsj�	5.8A Bottenfauna i kustvatten/ 5.8A Benthic fauna Quality Index (BQI) for coastal waters 5.8A Bottenfauna i kustvatten/ 5.8A Benthic fauna Quality Index (BQI) for coastal waters ANSSE-5.8B_Bottenfauna_utsj� BALSE-5.8B_Bottenfauna_utsj�	BALSE-8.2B_Produktivitet_havs�rn BALSE-B.2.1_Skaltjocklek_havs�rn_�gg	BALSE-8.2B_Produktivitet_havs�rn BALSE-B.2.1_Skaltjocklek_havs�rn_�gg
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References	https://www.havochvatten.se/marin-miljoovervakning-kustfisk	https://www.havochvatten.se/marin-miljoovervakning-kustfisk	https://www.havochvatten.se/marin-miljoovervakning-kustfisk	https://www.havochvatten.se/marin-miljoovervakning-kustfisk	https://www.havochvatten.se/marin-miljoovervakning-kustfisk	https://www.havochvatten.se/marin-miljoovervakning-kustfisk	https://www.havochvatten.se/marin-miljoovervakning-kustfisk	https://www.havochvatten.se/marin-miljoovervakning-kustfisk	https://www.havochvatten.se/marin-miljoovervakning-fisk-utsjon	https://www.havochvatten.se/marin-miljoovervakning-fisk-utsjon	https://www.havochvatten.se/marin-miljoovervakning-fisk-utsjon	https://www.havochvatten.se/marin-miljoovervakning-fisk-utsjon	https://www.havochvatten.se/marin-miljoovervakning-fisk-utsjon	https://www.havochvatten.se/marin-miljoovervakning-fisk-utsjon	https://www.havochvatten.se/marin-miljoovervakning-fisk-utsjon	https://www.havochvatten.se/marin-miljoovervakning-fisk-utsjon	https://www.havochvatten.se/marin-miljoovervakning-fisk-utsjon	https://www.havochvatten.se/marin-miljoovervakning-fisk-utsjon	https://www.havochvatten.se/marin-miljoovervakning-fisk-utsjon	https://www.havochvatten.se/marin-miljoovervakning-fisk-utsjon	https://www.havochvatten.se/marin-miljoovervakning-djur-havsbotten	https://www.havochvatten.se/marin-miljoovervakning-djur-havsbotten	https://www.havochvatten.se/marin-miljoovervakning-djur-havsbotten	https://www.havochvatten.se/marin-miljoovervakning-djur-havsbotten	https://www.havochvatten.se/marin-miljoovervakning-djur-havsbotten	https://www.havochvatten.se/marin-miljoovervakning-djur-havsbotten	https://www.havochvatten.se/marin-miljoovervakning-djur-havsbotten	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar	https://www.havochvatten.se/marin-miljoovervakning-sjofaglar	https://www.havochvatten.se/marin-miljoovervakning-sal	https://www.havochvatten.se/marin-miljoovervakning-sal	https://www.havochvatten.se/marin-miljoovervakning-sal	https://www.havochvatten.se/marin-miljoovervakning-sal	https://www.havochvatten.se/marin-miljoovervakning-sal	https://www.havochvatten.se/marin-miljoovervakning-sal	https://www.havochvatten.se/marin-miljoovervakning-djurplankton	https://www.havochvatten.se/marin-miljoovervakning-djurplankton	https://www.havochvatten.se/marin-miljoovervakning-djurplankton	https://www.havochvatten.se/marin-miljoovervakning-djurplankton	https://www.havochvatten.se/marin-miljoovervakning-vegetation-botten	https://www.havochvatten.se/marin-miljoovervakning-vegetation-botten	https://www.havochvatten.se/marin-miljoovervakning-vegetation-botten	https://www.havochvatten.se/marin-miljoovervakning-vegetation-botten	https://www.havochvatten.se/marin-miljoovervakning-vegetation-botten	https://www.havochvatten.se/marin-miljoovervakning-plankton	https://www.havochvatten.se/marin-miljoovervakning-plankton	https://www.havochvatten.se/marin-miljoovervakning-plankton	https://www.havochvatten.se/marin-miljoovervakning-plankton	https://www.havochvatten.se/marin-miljoovervakning-plankton	https://www.havochvatten.se/marin-miljoovervakning-plankton	https://www.havochvatten.se/marin-miljoovervakning-plankton	https://www.havochvatten.se/marin-miljoovervakning-plankton	https://www.havochvatten.se/marin-miljoovervakning-plankton	https://www.havochvatten.se/marin-miljoovervakning-bentiska	https://www.havochvatten.se/marin-miljoovervakning-bentiska	https://www.havochvatten.se/marin-miljoovervakning-bentiska	https://www.havochvatten.se/marin-miljoovervakning-bentiska	https://www.havochvatten.se/marin-miljoovervakning-bentiska	https://www.havochvatten.se/marin-miljoovervakning-bentiska	https://www.havochvatten.se/marin-miljoovervakning-bentiska	https://www.havochvatten.se/marin-miljoovervakning-bentiska	https://www.havochvatten.se/marin-miljoovervakning-bentiska	https://www.havochvatten.se/marin-miljoovervakning-bentiska	https://www.havochvatten.se/marin-miljoovervakning-halsa-marina-daggdjur	https://www.havochvatten.se/marin-miljoovervakning-halsa-marina-daggdjur	https://www.havochvatten.se/marin-miljoovervakning-halsa-marina-daggdjur	https://www.havochvatten.se/marin-miljoovervakning-halsa-marina-daggdjur	https://www.havochvatten.se/marin-miljoovervakning-halsa-marina-daggdjur	https://www.havochvatten.se/marin-miljoovervakning-sediment-makrofauna	https://www.havochvatten.se/marin-miljoovervakning-sediment-makrofauna	https://www.havochvatten.se/marin-miljoovervakning-sediment-makrofauna	https://www.havochvatten.se/marin-miljoovervakning-sediment-makrofauna	https://www.havochvatten.se/marin-miljoovervakning-sediment-makrofauna	https://www.havochvatten.se/marin-miljoovervakning-sediment-makrofauna	https://www.havochvatten.se/marin-miljoovervakning-havsorn	https://www.havochvatten.se/marin-miljoovervakning-havsorn