Member State report / Art11 / 2020 / D4 / Baltic

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
Region/subregion Baltic

Member state
DK
DK
EE
EE
EE
EE
EE
EE
EE
EE
EE
FI
FI
FI
FI
FI
FI
FI
FI
FI
FI
FI
FI
FI
FI
FI
FI
FI
LT
LT
LT
LV
LV
PL
PL
PL
PL
PL
PL
PL
PL
PL
PL
PL
PL
PL
PL
PL
PL
PL
PL
PL
SE
SE
SE
SE
SE
SE
SE
SE
SE
SE
SE
SE
Descriptor
D4/D1
D4/D1
D4/D1
D4/D1
D4/D1
D4/D1
D4/D1
D4/D1
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D4/D1
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D4/D1
D4/D1
D4/D1
D4/D1
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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
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D4/D1
D4/D1
D4/D1
D4/D1
D4/D1
Monitoring strategy description
Havets fødenet inkluderer alle økosystemets organismer og beskriver relationerne herimellem. En or-ganismes placering i en fødekæde er udtrykt ved dens trofiske niveau. Et eksempel på de trofiske ni-veauer i en marin fødekæde er: Første trofiske niveau - primærproducent f.eks. fytoplankton, andet trofiske niveau - zooplankton, tredje trofiske niveau – småfisk, f.eks. sild, og fjerde trofiske niveau - marsvin. Organismerne i fødenettet har indflydelse på hinanden, og udsving i forekomsten af nogle arter vil påvirke andre. Et sundt fødenet er karakteriseret ved, at der henover de trofiske niveauer er en naturlig balance, og en sådan balance er ofte understøttet af en høj biodiversitet. Overvågningsprogrammet for havets fødenet skal tilvejebringe grundlaget for en løbende vurdering af miljøtilstanden, så det kan vurderes om alle kendte elementer i havets fødenet er til stede og forekom-mer med normal tæthed og diversitet samt er på niveauer, som sikrer en stabil artstæthed og oprethol-delse af arternes fulde reproduktionsevne. Havets fødenet skal ses som en samlende deskriptor, der sætter flere af havstrategidirektivets deskriptorer i relation til hinanden og giver et integreret helheds-perspektiv af havets økosystem. Således omfatter overvågningsprogrammet for havets fødenet den overvågning, som udføres i relation til en række andre deskriptorer. Overvågningsprogrammet har til formål at sikre, at miljøtilstanden, som den er defineret i basisanalysen for Danmarks Havstrategi II, løbende kan følges i de danske havområder. Overvågningsprogrammet og basisanalyserne skal sammen danne grundlag for udarbejdelsen af de indsatsprogrammer, der skal sikre opfyldelse af miljømålene. Overvågningen vil endvidere føre til en vurdering af indsatsprogrammets foranstaltninger i forhold til opnåelse eller opretholdelse af god miljøtilstand. Overvågningsprogrammet er således tilrettelagt for at vurdere fremskridt i forhold til GES, miljømål og indsatser.
Havets fødenet inkluderer alle økosystemets organismer og beskriver relationerne herimellem. En or-ganismes placering i en fødekæde er udtrykt ved dens trofiske niveau. Et eksempel på de trofiske ni-veauer i en marin fødekæde er: Første trofiske niveau - primærproducent f.eks. fytoplankton, andet trofiske niveau - zooplankton, tredje trofiske niveau – småfisk, f.eks. sild, og fjerde trofiske niveau - marsvin. Organismerne i fødenettet har indflydelse på hinanden, og udsving i forekomsten af nogle arter vil påvirke andre. Et sundt fødenet er karakteriseret ved, at der henover de trofiske niveauer er en naturlig balance, og en sådan balance er ofte understøttet af en høj biodiversitet. Overvågningsprogrammet for havets fødenet skal tilvejebringe grundlaget for en løbende vurdering af miljøtilstanden, så det kan vurderes om alle kendte elementer i havets fødenet er til stede og forekom-mer med normal tæthed og diversitet samt er på niveauer, som sikrer en stabil artstæthed og oprethol-delse af arternes fulde reproduktionsevne. Havets fødenet skal ses som en samlende deskriptor, der sætter flere af havstrategidirektivets deskriptorer i relation til hinanden og giver et integreret helheds-perspektiv af havets økosystem. Således omfatter overvågningsprogrammet for havets fødenet den overvågning, som udføres i relation til en række andre deskriptorer. Overvågningsprogrammet har til formål at sikre, at miljøtilstanden, som den er defineret i basisanalysen for Danmarks Havstrategi II, løbende kan følges i de danske havområder. Overvågningsprogrammet og basisanalyserne skal sammen danne grundlag for udarbejdelsen af de indsatsprogrammer, der skal sikre opfyldelse af miljømålene. Overvågningen vil endvidere føre til en vurdering af indsatsprogrammets foranstaltninger i forhold til opnåelse eller opretholdelse af god miljøtilstand. Overvågningsprogrammet er således tilrettelagt for at vurdere fremskridt i forhold til GES, miljømål og indsatser.
The aim of the monitoring strategy "SD4/SD1 Food webs / Biodiversity – ecosystems" is to assess the status of marine food webs by collecting data on the condition of fish communities and other ecosystem components. The following monitoring programmes produce (directly or indirectly) relevant data for the assessments of the status and impact, as well as pressures in the environment: "Coastal fish", "Off-shore fish", "Phytoplankton species composition, abundance and biomass", "Chlorophyll-a", "Macrozoobenthos", "Abundance of wintering birds", "Abundance of waterbirds in the breeding season". The main anthropogenic activities and associated pressures are dealt with in the programme "Marine and coastal activities".
The aim of the monitoring strategy "SD4/SD1 Food webs / Biodiversity – ecosystems" is to assess the status of marine food webs by collecting data on the condition of fish communities and other ecosystem components. The following monitoring programmes produce (directly or indirectly) relevant data for the assessments of the status and impact, as well as pressures in the environment: "Coastal fish", "Off-shore fish", "Phytoplankton species composition, abundance and biomass", "Chlorophyll-a", "Macrozoobenthos", "Abundance of wintering birds", "Abundance of waterbirds in the breeding season". The main anthropogenic activities and associated pressures are dealt with in the programme "Marine and coastal activities".
The aim of the monitoring strategy "SD4/SD1 Food webs / Biodiversity – ecosystems" is to assess the status of marine food webs by collecting data on the condition of fish communities and other ecosystem components. The following monitoring programmes produce (directly or indirectly) relevant data for the assessments of the status and impact, as well as pressures in the environment: "Coastal fish", "Off-shore fish", "Phytoplankton species composition, abundance and biomass", "Chlorophyll-a", "Macrozoobenthos", "Abundance of wintering birds", "Abundance of waterbirds in the breeding season". The main anthropogenic activities and associated pressures are dealt with in the programme "Marine and coastal activities".
The aim of the monitoring strategy "SD4/SD1 Food webs / Biodiversity – ecosystems" is to assess the status of marine food webs by collecting data on the condition of fish communities and other ecosystem components. The following monitoring programmes produce (directly or indirectly) relevant data for the assessments of the status and impact, as well as pressures in the environment: "Coastal fish", "Off-shore fish", "Phytoplankton species composition, abundance and biomass", "Chlorophyll-a", "Macrozoobenthos", "Abundance of wintering birds", "Abundance of waterbirds in the breeding season". The main anthropogenic activities and associated pressures are dealt with in the programme "Marine and coastal activities".
The aim of the monitoring strategy "SD4/SD1 Food webs / Biodiversity – ecosystems" is to assess the status of marine food webs by collecting data on the condition of fish communities and other ecosystem components. The following monitoring programmes produce (directly or indirectly) relevant data for the assessments of the status and impact, as well as pressures in the environment: "Coastal fish", "Off-shore fish", "Phytoplankton species composition, abundance and biomass", "Chlorophyll-a", "Macrozoobenthos", "Abundance of wintering birds", "Abundance of waterbirds in the breeding season". The main anthropogenic activities and associated pressures are dealt with in the programme "Marine and coastal activities".
The aim of the monitoring strategy "SD4/SD1 Food webs / Biodiversity – ecosystems" is to assess the status of marine food webs by collecting data on the condition of fish communities and other ecosystem components. The following monitoring programmes produce (directly or indirectly) relevant data for the assessments of the status and impact, as well as pressures in the environment: "Coastal fish", "Off-shore fish", "Phytoplankton species composition, abundance and biomass", "Chlorophyll-a", "Macrozoobenthos", "Abundance of wintering birds", "Abundance of waterbirds in the breeding season". The main anthropogenic activities and associated pressures are dealt with in the programme "Marine and coastal activities".
The aim of the monitoring strategy "SD4/SD1 Food webs / Biodiversity – ecosystems" is to assess the status of marine food webs by collecting data on the condition of fish communities and other ecosystem components. The following monitoring programmes produce (directly or indirectly) relevant data for the assessments of the status and impact, as well as pressures in the environment: "Coastal fish", "Off-shore fish", "Phytoplankton species composition, abundance and biomass", "Chlorophyll-a", "Macrozoobenthos", "Abundance of wintering birds", "Abundance of waterbirds in the breeding season". The main anthropogenic activities and associated pressures are dealt with in the programme "Marine and coastal activities".
The aim of the monitoring strategy "SD4/SD1 Food webs / Biodiversity – ecosystems" is to assess the status of marine food webs by collecting data on the condition of fish communities and other ecosystem components. The following monitoring programmes produce (directly or indirectly) relevant data for the assessments of the status and impact, as well as pressures in the environment: "Coastal fish", "Off-shore fish", "Phytoplankton species composition, abundance and biomass", "Chlorophyll-a", "Macrozoobenthos", "Abundance of wintering birds", "Abundance of waterbirds in the breeding season". The main anthropogenic activities and associated pressures are dealt with in the programme "Marine and coastal activities".
The aim of the monitoring strategy "SD4/SD1 Food webs / Biodiversity – ecosystems" is to assess the status of marine food webs by collecting data on the condition of fish communities and other ecosystem components. The following monitoring programmes produce (directly or indirectly) relevant data for the assessments of the status and impact, as well as pressures in the environment: "Coastal fish", "Off-shore fish", "Phytoplankton species composition, abundance and biomass", "Chlorophyll-a", "Macrozoobenthos", "Abundance of wintering birds", "Abundance of waterbirds in the breeding season". The main anthropogenic activities and associated pressures are dealt with in the programme "Marine and coastal activities".
Food webs are monitored by the monitoring programmes producing information of marine mammals (apex predators), seabirds (apex predators, fish feeders, benthic feeders, grazers), fish (predatory, planktivorous, benthic feeders), benthic invertebrates (deposit feeders, filter feeders), zooplankton and primary producers (phytoplankton, macrophytes).
Food webs are monitored by the monitoring programmes producing information of marine mammals (apex predators), seabirds (apex predators, fish feeders, benthic feeders, grazers), fish (predatory, planktivorous, benthic feeders), benthic invertebrates (deposit feeders, filter feeders), zooplankton and primary producers (phytoplankton, macrophytes).
Food webs are monitored by the monitoring programmes producing information of marine mammals (apex predators), seabirds (apex predators, fish feeders, benthic feeders, grazers), fish (predatory, planktivorous, benthic feeders), benthic invertebrates (deposit feeders, filter feeders), zooplankton and primary producers (phytoplankton, macrophytes).
Food webs are monitored by the monitoring programmes producing information of marine mammals (apex predators), seabirds (apex predators, fish feeders, benthic feeders, grazers), fish (predatory, planktivorous, benthic feeders), benthic invertebrates (deposit feeders, filter feeders), zooplankton and primary producers (phytoplankton, macrophytes).
Food webs are monitored by the monitoring programmes producing information of marine mammals (apex predators), seabirds (apex predators, fish feeders, benthic feeders, grazers), fish (predatory, planktivorous, benthic feeders), benthic invertebrates (deposit feeders, filter feeders), zooplankton and primary producers (phytoplankton, macrophytes).
Food webs are monitored by the monitoring programmes producing information of marine mammals (apex predators), seabirds (apex predators, fish feeders, benthic feeders, grazers), fish (predatory, planktivorous, benthic feeders), benthic invertebrates (deposit feeders, filter feeders), zooplankton and primary producers (phytoplankton, macrophytes).
Food webs are monitored by the monitoring programmes producing information of marine mammals (apex predators), seabirds (apex predators, fish feeders, benthic feeders, grazers), fish (predatory, planktivorous, benthic feeders), benthic invertebrates (deposit feeders, filter feeders), zooplankton and primary producers (phytoplankton, macrophytes).
Food webs are monitored by the monitoring programmes producing information of marine mammals (apex predators), seabirds (apex predators, fish feeders, benthic feeders, grazers), fish (predatory, planktivorous, benthic feeders), benthic invertebrates (deposit feeders, filter feeders), zooplankton and primary producers (phytoplankton, macrophytes).
Food webs are monitored by the monitoring programmes producing information of marine mammals (apex predators), seabirds (apex predators, fish feeders, benthic feeders, grazers), fish (predatory, planktivorous, benthic feeders), benthic invertebrates (deposit feeders, filter feeders), zooplankton and primary producers (phytoplankton, macrophytes).
Food webs are monitored by the monitoring programmes producing information of marine mammals (apex predators), seabirds (apex predators, fish feeders, benthic feeders, grazers), fish (predatory, planktivorous, benthic feeders), benthic invertebrates (deposit feeders, filter feeders), zooplankton and primary producers (phytoplankton, macrophytes).
Food webs are monitored by the monitoring programmes producing information of marine mammals (apex predators), seabirds (apex predators, fish feeders, benthic feeders, grazers), fish (predatory, planktivorous, benthic feeders), benthic invertebrates (deposit feeders, filter feeders), zooplankton and primary producers (phytoplankton, macrophytes).
Food webs are monitored by the monitoring programmes producing information of marine mammals (apex predators), seabirds (apex predators, fish feeders, benthic feeders, grazers), fish (predatory, planktivorous, benthic feeders), benthic invertebrates (deposit feeders, filter feeders), zooplankton and primary producers (phytoplankton, macrophytes).
Food webs are monitored by the monitoring programmes producing information of marine mammals (apex predators), seabirds (apex predators, fish feeders, benthic feeders, grazers), fish (predatory, planktivorous, benthic feeders), benthic invertebrates (deposit feeders, filter feeders), zooplankton and primary producers (phytoplankton, macrophytes).
Food webs are monitored by the monitoring programmes producing information of marine mammals (apex predators), seabirds (apex predators, fish feeders, benthic feeders, grazers), fish (predatory, planktivorous, benthic feeders), benthic invertebrates (deposit feeders, filter feeders), zooplankton and primary producers (phytoplankton, macrophytes).
Food webs are monitored by the monitoring programmes producing information of marine mammals (apex predators), seabirds (apex predators, fish feeders, benthic feeders, grazers), fish (predatory, planktivorous, benthic feeders), benthic invertebrates (deposit feeders, filter feeders), zooplankton and primary producers (phytoplankton, macrophytes).
Food webs are monitored by the monitoring programmes producing information of marine mammals (apex predators), seabirds (apex predators, fish feeders, benthic feeders, grazers), fish (predatory, planktivorous, benthic feeders), benthic invertebrates (deposit feeders, filter feeders), zooplankton and primary producers (phytoplankton, macrophytes).
Food webs are monitored by the monitoring programmes producing information of marine mammals (apex predators), seabirds (apex predators, fish feeders, benthic feeders, grazers), fish (predatory, planktivorous, benthic feeders), benthic invertebrates (deposit feeders, filter feeders), zooplankton and primary producers (phytoplankton, macrophytes).
Vadovaujantis Valstybine 2018-2023 m. aplinkos monitoringo programa, Lietuvos jūriniuose vandenyse tiriamos šios D4/D1 biologinių elementų grupės: fitoplanktonas; zooplanktonas; ichtiofauna. Lietuvos jūros rajone fitoplanktono duomenys (gausumas, biomasė, rūšinės sudėtis) renkami kasmet, 14 tyrimų vietų, vidutiniškai 3-7 kartus per metus (dažnumas skiriasi skirtinguose rajonuose: BAL-LT-AA-01 ir BAL-LT-AA-02 – 3-7 kartai per metus; BAL-LT-AA-03 rajone tyrimai atliekami 1-4 kartus per metus). Zooplanktono duomenys (gausumas, biomasė, rūšinės sudėtis, lytis, vystymosi stadija) renkami kasmet, 16 tyrimų vietų, 2 kartus per metus BAL-LT-AA-01 ir BAL-LT-AA-02 ; 1-2 kartus per metus BAL-LT-AA-03 rajone. Ichtiofaunos monitoringas Baltijos jūros priekrantėje vykdomas 7 vietose, 1 kartą per metus kasmet (nuo 2022 m. planuojama 2 kartus per metus). Tyrimų metu vertinama ichtiofaunos rūšinė sudėtis, žuvų rūšių gausumas ir biomasė, žuvų amžinė ir dydžių struktūra. Baltijos jūros priekrantės žuvų bendrijų monitoringas taip pat vykdomas Duomenų rinkimo programos rėmuose, žuvų išteklių vertinimo tikslais. Duomenys naudojami pelaginėms buveinėms pagal D1, mitybos tinklams pagal D4 vertinti. Renkamų duomenų pagrindu vertinami D4 rodikliai: 1) sezoninė dominuojančių fitoplanktono grupių kaita; 2) zooplanktono vidutinis dydis ir bendras išteklius; 3) Žuvų bendrijos gausumo indeksas (Plėšrių žuvų gausumas); 4) Mezo-plėšrių žuvų gausumas; 5) Žuvų bendrijos dydžio indeksas.
Vadovaujantis Valstybine 2018-2023 m. aplinkos monitoringo programa, Lietuvos jūriniuose vandenyse tiriamos šios D4/D1 biologinių elementų grupės: fitoplanktonas; zooplanktonas; ichtiofauna. Lietuvos jūros rajone fitoplanktono duomenys (gausumas, biomasė, rūšinės sudėtis) renkami kasmet, 14 tyrimų vietų, vidutiniškai 3-7 kartus per metus (dažnumas skiriasi skirtinguose rajonuose: BAL-LT-AA-01 ir BAL-LT-AA-02 – 3-7 kartai per metus; BAL-LT-AA-03 rajone tyrimai atliekami 1-4 kartus per metus). Zooplanktono duomenys (gausumas, biomasė, rūšinės sudėtis, lytis, vystymosi stadija) renkami kasmet, 16 tyrimų vietų, 2 kartus per metus BAL-LT-AA-01 ir BAL-LT-AA-02 ; 1-2 kartus per metus BAL-LT-AA-03 rajone. Ichtiofaunos monitoringas Baltijos jūros priekrantėje vykdomas 7 vietose, 1 kartą per metus kasmet (nuo 2022 m. planuojama 2 kartus per metus). Tyrimų metu vertinama ichtiofaunos rūšinė sudėtis, žuvų rūšių gausumas ir biomasė, žuvų amžinė ir dydžių struktūra. Baltijos jūros priekrantės žuvų bendrijų monitoringas taip pat vykdomas Duomenų rinkimo programos rėmuose, žuvų išteklių vertinimo tikslais. Duomenys naudojami pelaginėms buveinėms pagal D1, mitybos tinklams pagal D4 vertinti. Renkamų duomenų pagrindu vertinami D4 rodikliai: 1) sezoninė dominuojančių fitoplanktono grupių kaita; 2) zooplanktono vidutinis dydis ir bendras išteklius; 3) Žuvų bendrijos gausumo indeksas (Plėšrių žuvų gausumas); 4) Mezo-plėšrių žuvų gausumas; 5) Žuvų bendrijos dydžio indeksas.
Vadovaujantis Valstybine 2018-2023 m. aplinkos monitoringo programa, Lietuvos jūriniuose vandenyse tiriamos šios D4/D1 biologinių elementų grupės: fitoplanktonas; zooplanktonas; ichtiofauna. Lietuvos jūros rajone fitoplanktono duomenys (gausumas, biomasė, rūšinės sudėtis) renkami kasmet, 14 tyrimų vietų, vidutiniškai 3-7 kartus per metus (dažnumas skiriasi skirtinguose rajonuose: BAL-LT-AA-01 ir BAL-LT-AA-02 – 3-7 kartai per metus; BAL-LT-AA-03 rajone tyrimai atliekami 1-4 kartus per metus). Zooplanktono duomenys (gausumas, biomasė, rūšinės sudėtis, lytis, vystymosi stadija) renkami kasmet, 16 tyrimų vietų, 2 kartus per metus BAL-LT-AA-01 ir BAL-LT-AA-02 ; 1-2 kartus per metus BAL-LT-AA-03 rajone. Ichtiofaunos monitoringas Baltijos jūros priekrantėje vykdomas 7 vietose, 1 kartą per metus kasmet (nuo 2022 m. planuojama 2 kartus per metus). Tyrimų metu vertinama ichtiofaunos rūšinė sudėtis, žuvų rūšių gausumas ir biomasė, žuvų amžinė ir dydžių struktūra. Baltijos jūros priekrantės žuvų bendrijų monitoringas taip pat vykdomas Duomenų rinkimo programos rėmuose, žuvų išteklių vertinimo tikslais. Duomenys naudojami pelaginėms buveinėms pagal D1, mitybos tinklams pagal D4 vertinti. Renkamų duomenų pagrindu vertinami D4 rodikliai: 1) sezoninė dominuojančių fitoplanktono grupių kaita; 2) zooplanktono vidutinis dydis ir bendras išteklius; 3) Žuvų bendrijos gausumo indeksas (Plėšrių žuvų gausumas); 4) Mezo-plėšrių žuvų gausumas; 5) Žuvų bendrijos dydžio indeksas.
1. At this stage the program relies on zooplankton as an intermedia component linking primary producers (phytoplankton) with consumers (fish). 2. The monitoring sub-program shall be based on balanced guilds. However, at present the program is underdeveloped due to knowledge gaps. Only one component, zooplankton, has been fully developed.
1. At this stage the program relies on zooplankton as an intermedia component linking primary producers (phytoplankton) with consumers (fish). 2. The monitoring sub-program shall be based on balanced guilds. However, at present the program is underdeveloped due to knowledge gaps. Only one component, zooplankton, has been fully developed.
The goal of the Strategy is to use information from the monitoring programmes established within strategies for Descriptors D1 and D6 for all ecosystem groups: mammals, fish, birds, pelagic and benthic habitats as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017 for assessments of the status of marine waters with regard to food webs as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017. The information gathered will also be used to develop assessment methods for food webs the topic which has not been regionally agreed so far
The goal of the Strategy is to use information from the monitoring programmes established within strategies for Descriptors D1 and D6 for all ecosystem groups: mammals, fish, birds, pelagic and benthic habitats as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017 for assessments of the status of marine waters with regard to food webs as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017. The information gathered will also be used to develop assessment methods for food webs the topic which has not been regionally agreed so far
The goal of the Strategy is to use information from the monitoring programmes established within strategies for Descriptors D1 and D6 for all ecosystem groups: mammals, fish, birds, pelagic and benthic habitats as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017 for assessments of the status of marine waters with regard to food webs as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017. The information gathered will also be used to develop assessment methods for food webs the topic which has not been regionally agreed so far
The goal of the Strategy is to use information from the monitoring programmes established within strategies for Descriptors D1 and D6 for all ecosystem groups: mammals, fish, birds, pelagic and benthic habitats as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017 for assessments of the status of marine waters with regard to food webs as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017. The information gathered will also be used to develop assessment methods for food webs the topic which has not been regionally agreed so far
The goal of the Strategy is to use information from the monitoring programmes established within strategies for Descriptors D1 and D6 for all ecosystem groups: mammals, fish, birds, pelagic and benthic habitats as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017 for assessments of the status of marine waters with regard to food webs as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017. The information gathered will also be used to develop assessment methods for food webs the topic which has not been regionally agreed so far
The goal of the Strategy is to use information from the monitoring programmes established within strategies for Descriptors D1 and D6 for all ecosystem groups: mammals, fish, birds, pelagic and benthic habitats as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017 for assessments of the status of marine waters with regard to food webs as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017. The information gathered will also be used to develop assessment methods for food webs the topic which has not been regionally agreed so far
The goal of the Strategy is to use information from the monitoring programmes established within strategies for Descriptors D1 and D6 for all ecosystem groups: mammals, fish, birds, pelagic and benthic habitats as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017 for assessments of the status of marine waters with regard to food webs as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017. The information gathered will also be used to develop assessment methods for food webs the topic which has not been regionally agreed so far
The goal of the Strategy is to use information from the monitoring programmes established within strategies for Descriptors D1 and D6 for all ecosystem groups: mammals, fish, birds, pelagic and benthic habitats as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017 for assessments of the status of marine waters with regard to food webs as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017. The information gathered will also be used to develop assessment methods for food webs the topic which has not been regionally agreed so far
The goal of the Strategy is to use information from the monitoring programmes established within strategies for Descriptors D1 and D6 for all ecosystem groups: mammals, fish, birds, pelagic and benthic habitats as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017 for assessments of the status of marine waters with regard to food webs as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017. The information gathered will also be used to develop assessment methods for food webs the topic which has not been regionally agreed so far
The goal of the Strategy is to use information from the monitoring programmes established within strategies for Descriptors D1 and D6 for all ecosystem groups: mammals, fish, birds, pelagic and benthic habitats as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017 for assessments of the status of marine waters with regard to food webs as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017. The information gathered will also be used to develop assessment methods for food webs the topic which has not been regionally agreed so far
The goal of the Strategy is to use information from the monitoring programmes established within strategies for Descriptors D1 and D6 for all ecosystem groups: mammals, fish, birds, pelagic and benthic habitats as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017 for assessments of the status of marine waters with regard to food webs as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017. The information gathered will also be used to develop assessment methods for food webs the topic which has not been regionally agreed so far
The goal of the Strategy is to use information from the monitoring programmes established within strategies for Descriptors D1 and D6 for all ecosystem groups: mammals, fish, birds, pelagic and benthic habitats as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017 for assessments of the status of marine waters with regard to food webs as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017. The information gathered will also be used to develop assessment methods for food webs the topic which has not been regionally agreed so far
The goal of the Strategy is to use information from the monitoring programmes established within strategies for Descriptors D1 and D6 for all ecosystem groups: mammals, fish, birds, pelagic and benthic habitats as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017 for assessments of the status of marine waters with regard to food webs as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017. The information gathered will also be used to develop assessment methods for food webs the topic which has not been regionally agreed so far
The goal of the Strategy is to use information from the monitoring programmes established within strategies for Descriptors D1 and D6 for all ecosystem groups: mammals, fish, birds, pelagic and benthic habitats as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017 for assessments of the status of marine waters with regard to food webs as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017. The information gathered will also be used to develop assessment methods for food webs the topic which has not been regionally agreed so far
The goal of the Strategy is to use information from the monitoring programmes established within strategies for Descriptors D1 and D6 for all ecosystem groups: mammals, fish, birds, pelagic and benthic habitats as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017 for assessments of the status of marine waters with regard to food webs as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017. The information gathered will also be used to develop assessment methods for food webs the topic which has not been regionally agreed so far
The goal of the Strategy is to use information from the monitoring programmes established within strategies for Descriptors D1 and D6 for all ecosystem groups: mammals, fish, birds, pelagic and benthic habitats as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017 for assessments of the status of marine waters with regard to food webs as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017. The information gathered will also be used to develop assessment methods for food webs the topic which has not been regionally agreed so far
The goal of the Strategy is to use information from the monitoring programmes established within strategies for Descriptors D1 and D6 for all ecosystem groups: mammals, fish, birds, pelagic and benthic habitats as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017 for assessments of the status of marine waters with regard to food webs as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017. The information gathered will also be used to develop assessment methods for food webs the topic which has not been regionally agreed so far
The goal of the Strategy is to use information from the monitoring programmes established within strategies for Descriptors D1 and D6 for all ecosystem groups: mammals, fish, birds, pelagic and benthic habitats as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017 for assessments of the status of marine waters with regard to food webs as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017. The information gathered will also be used to develop assessment methods for food webs the topic which has not been regionally agreed so far
The goal of the Strategy is to use information from the monitoring programmes established within strategies for Descriptors D1 and D6 for all ecosystem groups: mammals, fish, birds, pelagic and benthic habitats as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017 for assessments of the status of marine waters with regard to food webs as outlined in the Commission Decision (EU) 2017/848 of 17 May 2017. The information gathered will also be used to develop assessment methods for food webs the topic which has not been regionally agreed so far
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.
Coverage of GES criteria
Adequate monitoring is in place by July 2020
Adequate monitoring is in place by July 2020
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place by 2018
Adequate monitoring was in place by 2018
Adequate monitoring was in place by 2018
Adequate monitoring will be in place by 2024
Adequate monitoring will be in place by 2024
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
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
Gaps and plans
Overvågningsprogrammet er tilstrækkeligt.
Overvågningsprogrammet er tilstrækkeligt.
The monitoring being done according to the strategy provides sufficient data to assess the achievement of targets and the effectiveness of measures implemented. GES indicators for several food webs components as waterbirds, marine mammals etc still need to be developed to provide an assessment of the food web as a whole (preferably in cooperation with HECOM).
The monitoring being done according to the strategy provides sufficient data to assess the achievement of targets and the effectiveness of measures implemented. GES indicators for several food webs components as waterbirds, marine mammals etc still need to be developed to provide an assessment of the food web as a whole (preferably in cooperation with HECOM).
The monitoring being done according to the strategy provides sufficient data to assess the achievement of targets and the effectiveness of measures implemented. GES indicators for several food webs components as waterbirds, marine mammals etc still need to be developed to provide an assessment of the food web as a whole (preferably in cooperation with HECOM).
The monitoring being done according to the strategy provides sufficient data to assess the achievement of targets and the effectiveness of measures implemented. GES indicators for several food webs components as waterbirds, marine mammals etc still need to be developed to provide an assessment of the food web as a whole (preferably in cooperation with HECOM).
The monitoring being done according to the strategy provides sufficient data to assess the achievement of targets and the effectiveness of measures implemented. GES indicators for several food webs components as waterbirds, marine mammals etc still need to be developed to provide an assessment of the food web as a whole (preferably in cooperation with HECOM).
The monitoring being done according to the strategy provides sufficient data to assess the achievement of targets and the effectiveness of measures implemented. GES indicators for several food webs components as waterbirds, marine mammals etc still need to be developed to provide an assessment of the food web as a whole (preferably in cooperation with HECOM).
The monitoring being done according to the strategy provides sufficient data to assess the achievement of targets and the effectiveness of measures implemented. GES indicators for several food webs components as waterbirds, marine mammals etc still need to be developed to provide an assessment of the food web as a whole (preferably in cooperation with HECOM).
The monitoring being done according to the strategy provides sufficient data to assess the achievement of targets and the effectiveness of measures implemented. GES indicators for several food webs components as waterbirds, marine mammals etc still need to be developed to provide an assessment of the food web as a whole (preferably in cooperation with HECOM).
The monitoring being done according to the strategy provides sufficient data to assess the achievement of targets and the effectiveness of measures implemented. GES indicators for several food webs components as waterbirds, marine mammals etc still need to be developed to provide an assessment of the food web as a whole (preferably in cooperation with HECOM).
No gaps.
No gaps.
No gaps.
No gaps.
No gaps.
No gaps.
No gaps.
No gaps.
No gaps.
No gaps.
No gaps.
No gaps.
No gaps.
No gaps.
No gaps.
No gaps.
No gaps.
Kai kurios jūrinės žuvų rūšys, kaip pvz., menkė, Baltijos priekrantėje pasirodo tik šaltuoju metų laiku. Todėl siekiant įvertinti tipiškas jūrines žuvų rūšis, žuvų monitoringas 2018-2023 m. aplinkos monitoringo programos 2020 metų pakeitime numatytas du kartus per metus – šiltuoju ir šaltuoju metų laiku (bus vykdomas nuo 2022 m.).
Kai kurios jūrinės žuvų rūšys, kaip pvz., menkė, Baltijos priekrantėje pasirodo tik šaltuoju metų laiku. Todėl siekiant įvertinti tipiškas jūrines žuvų rūšis, žuvų monitoringas 2018-2023 m. aplinkos monitoringo programos 2020 metų pakeitime numatytas du kartus per metus – šiltuoju ir šaltuoju metų laiku (bus vykdomas nuo 2022 m.).
Kai kurios jūrinės žuvų rūšys, kaip pvz., menkė, Baltijos priekrantėje pasirodo tik šaltuoju metų laiku. Todėl siekiant įvertinti tipiškas jūrines žuvų rūšis, žuvų monitoringas 2018-2023 m. aplinkos monitoringo programos 2020 metų pakeitime numatytas du kartus per metus – šiltuoju ir šaltuoju metų laiku (bus vykdomas nuo 2022 m.).
1. The spatial and temporal coverage is insufficient. This will be remedied after additional funding will be made available. 2. Knowledge gaps on guilds.
1. The spatial and temporal coverage is insufficient. This will be remedied after additional funding will be made available. 2. Knowledge gaps on guilds.
Not applicable
Not applicable
Not applicable
Not applicable
Not applicable
Not applicable
Not applicable
Not applicable
Not applicable
Not applicable
Not applicable
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Not applicable
Not applicable
Not applicable
Not applicable
Not applicable
Not applicable
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
  • BALEE-T33
  • BALEE-T34
  • Target 10
  • Target 11
  • Target 16
  • Target 8
  • BALEE-T33
  • BALEE-T34
  • Target 10
  • Target 11
  • Target 16
  • Target 8
  • BALEE-T33
  • BALEE-T34
  • Target 10
  • Target 11
  • Target 16
  • Target 8
  • BALEE-T33
  • BALEE-T34
  • Target 10
  • Target 11
  • Target 16
  • Target 8
  • BALEE-T33
  • BALEE-T34
  • Target 10
  • Target 11
  • Target 16
  • Target 8
  • BALEE-T33
  • BALEE-T34
  • Target 10
  • Target 11
  • Target 16
  • Target 8
  • BALEE-T33
  • BALEE-T34
  • Target 10
  • Target 11
  • Target 16
  • Target 8
  • BALEE-T33
  • BALEE-T34
  • Target 10
  • Target 11
  • Target 16
  • Target 8
  • BALEE-T33
  • BALEE-T34
  • Target 10
  • Target 11
  • Target 16
  • Target 8
  • LUONTO1
  • LUONTO2
  • LUONTO1
  • LUONTO2
  • LUONTO1
  • LUONTO2
  • LUONTO1
  • LUONTO2
  • LUONTO1
  • LUONTO2
  • LUONTO1
  • LUONTO2
  • LUONTO1
  • LUONTO2
  • LUONTO1
  • LUONTO2
  • LUONTO1
  • LUONTO2
  • LUONTO1
  • LUONTO2
  • LUONTO1
  • LUONTO2
  • LUONTO1
  • LUONTO2
  • LUONTO1
  • LUONTO2
  • LUONTO1
  • LUONTO2
  • LUONTO1
  • LUONTO2
  • LUONTO1
  • LUONTO2
  • LUONTO1
  • LUONTO2
  • 1
  • 1
  • 1
  • JVM1
  • JVM1
  • PL_Target_D4
  • PL_Target_D4C1
  • PL_Target_D4C2
  • PL_Target_D4C2_Dia/Dino
  • PL_Target_D4C3
  • PL_Target_D4C4
  • PL_Target_D4
  • PL_Target_D4C1
  • PL_Target_D4C2
  • PL_Target_D4C2_Dia/Dino
  • PL_Target_D4C3
  • PL_Target_D4C4
  • PL_Target_D4
  • PL_Target_D4C1
  • PL_Target_D4C2
  • PL_Target_D4C2_Dia/Dino
  • PL_Target_D4C3
  • PL_Target_D4C4
  • PL_Target_D4
  • PL_Target_D4C1
  • PL_Target_D4C2
  • PL_Target_D4C2_Dia/Dino
  • PL_Target_D4C3
  • PL_Target_D4C4
  • PL_Target_D4
  • PL_Target_D4C1
  • PL_Target_D4C2
  • PL_Target_D4C2_Dia/Dino
  • PL_Target_D4C3
  • PL_Target_D4C4
  • PL_Target_D4
  • PL_Target_D4C1
  • PL_Target_D4C2
  • PL_Target_D4C2_Dia/Dino
  • PL_Target_D4C3
  • PL_Target_D4C4
  • PL_Target_D4
  • PL_Target_D4C1
  • PL_Target_D4C2
  • PL_Target_D4C2_Dia/Dino
  • PL_Target_D4C3
  • PL_Target_D4C4
  • PL_Target_D4
  • PL_Target_D4C1
  • PL_Target_D4C2
  • PL_Target_D4C2_Dia/Dino
  • PL_Target_D4C3
  • PL_Target_D4C4
  • PL_Target_D4
  • PL_Target_D4C1
  • PL_Target_D4C2
  • PL_Target_D4C2_Dia/Dino
  • PL_Target_D4C3
  • PL_Target_D4C4
  • PL_Target_D4
  • PL_Target_D4C1
  • PL_Target_D4C2
  • PL_Target_D4C2_Dia/Dino
  • PL_Target_D4C3
  • PL_Target_D4C4
  • PL_Target_D4
  • PL_Target_D4C1
  • PL_Target_D4C2
  • PL_Target_D4C2_Dia/Dino
  • PL_Target_D4C3
  • PL_Target_D4C4
  • PL_Target_D4
  • PL_Target_D4C1
  • PL_Target_D4C2
  • PL_Target_D4C2_Dia/Dino
  • PL_Target_D4C3
  • PL_Target_D4C4
  • PL_Target_D4
  • PL_Target_D4C1
  • PL_Target_D4C2
  • PL_Target_D4C2_Dia/Dino
  • PL_Target_D4C3
  • PL_Target_D4C4
  • PL_Target_D4
  • PL_Target_D4C1
  • PL_Target_D4C2
  • PL_Target_D4C2_Dia/Dino
  • PL_Target_D4C3
  • PL_Target_D4C4
  • PL_Target_D4
  • PL_Target_D4C1
  • PL_Target_D4C2
  • PL_Target_D4C2_Dia/Dino
  • PL_Target_D4C3
  • PL_Target_D4C4
  • PL_Target_D4
  • PL_Target_D4C1
  • PL_Target_D4C2
  • PL_Target_D4C2_Dia/Dino
  • PL_Target_D4C3
  • PL_Target_D4C4
  • PL_Target_D4
  • PL_Target_D4C1
  • PL_Target_D4C2
  • PL_Target_D4C2_Dia/Dino
  • PL_Target_D4C3
  • PL_Target_D4C4
  • PL_Target_D4
  • PL_Target_D4C1
  • PL_Target_D4C2
  • PL_Target_D4C2_Dia/Dino
  • PL_Target_D4C3
  • PL_Target_D4C4
  • PL_Target_D4
  • PL_Target_D4C1
  • PL_Target_D4C2
  • PL_Target_D4C2_Dia/Dino
  • PL_Target_D4C3
  • PL_Target_D4C4
  • 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 was in place by 2018
Adequate monitoring was in place by 2018
Adequate monitoring was in place by 2018
Adequate monitoring was in place by 2018
Adequate monitoring was in place by 2018
Adequate monitoring was in place by 2018
Adequate monitoring was in place by 2018
Adequate monitoring was in place by 2018
Adequate monitoring was in place by 2018
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place by 2018
Adequate monitoring was in place by 2018
Adequate monitoring was in place by 2018
Adequate monitoring will be in place by 2024
Adequate monitoring will be in place by 2024
Adequate monitoring is in place by July 2020
Adequate monitoring is in place by July 2020
Adequate monitoring is in place by July 2020
Adequate monitoring is in place by July 2020
Adequate monitoring is in place by July 2020
Adequate monitoring is in place by July 2020
Adequate monitoring is in place by July 2020
Adequate monitoring is in place by July 2020
Adequate monitoring is in place by July 2020
Adequate monitoring is in place by July 2020
Adequate monitoring is in place by July 2020
Adequate monitoring is in place by July 2020
Adequate monitoring is in place by July 2020
Adequate monitoring is in place by July 2020
Adequate monitoring is in place by July 2020
Adequate monitoring is in place by July 2020
Adequate monitoring is in place by July 2020
Adequate monitoring is in place by July 2020
Adequate monitoring is in place by July 2020
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
  • BALEE-M001 - 'Developing a network of MPA in the Estonian EEZ'
  • BALEE-M002 - 'Compiling regional aquaculture plans to manage environmental pressures'
  • BALEE-M003 - 'Increasing knowledge on non-indigenous species to control their spread'
  • BALEE-M005 - 'Developing regional fishing restrictions and updating the size limits of commercial fish'
  • BALEE-M006 - 'Supporting the marketing/the use of limited value fish'
  • BALEE-M007 - 'Adjusting the fishing effort not to compromise achieving GES'
  • BALEE-M008 - 'Application of electronic reporting system for fishing gears to better control fishing and avoid abandoning of fishing gear'
  • Not specified - 'Establishing maritime spatial plans and implementing the HELCOM Recommendation 28E/9'
  • Not specified - 'Estonian Environmental Strategy 2030'
  • Not specified - 'European Maritime and Fisheries Fund (EMFF) Operational Programme for Estonia 2014-2020'
  • Not specified - 'Increasing response capacities to oil spills and biota rehabilitation capacity (Water Act)'
  • Not specified - 'The development of a network of protected areas in the coastal and territorial sea of the Baltic Sea'
  • BALEE-M001 - 'Developing a network of MPA in the Estonian EEZ'
  • BALEE-M002 - 'Compiling regional aquaculture plans to manage environmental pressures'
  • BALEE-M003 - 'Increasing knowledge on non-indigenous species to control their spread'
  • BALEE-M005 - 'Developing regional fishing restrictions and updating the size limits of commercial fish'
  • BALEE-M006 - 'Supporting the marketing/the use of limited value fish'
  • BALEE-M007 - 'Adjusting the fishing effort not to compromise achieving GES'
  • BALEE-M008 - 'Application of electronic reporting system for fishing gears to better control fishing and avoid abandoning of fishing gear'
  • Not specified - 'Establishing maritime spatial plans and implementing the HELCOM Recommendation 28E/9'
  • Not specified - 'Estonian Environmental Strategy 2030'
  • Not specified - 'European Maritime and Fisheries Fund (EMFF) Operational Programme for Estonia 2014-2020'
  • Not specified - 'Increasing response capacities to oil spills and biota rehabilitation capacity (Water Act)'
  • Not specified - 'The development of a network of protected areas in the coastal and territorial sea of the Baltic Sea'
  • BALEE-M001 - 'Developing a network of MPA in the Estonian EEZ'
  • BALEE-M002 - 'Compiling regional aquaculture plans to manage environmental pressures'
  • BALEE-M003 - 'Increasing knowledge on non-indigenous species to control their spread'
  • BALEE-M005 - 'Developing regional fishing restrictions and updating the size limits of commercial fish'
  • BALEE-M006 - 'Supporting the marketing/the use of limited value fish'
  • BALEE-M007 - 'Adjusting the fishing effort not to compromise achieving GES'
  • BALEE-M008 - 'Application of electronic reporting system for fishing gears to better control fishing and avoid abandoning of fishing gear'
  • Not specified - 'Establishing maritime spatial plans and implementing the HELCOM Recommendation 28E/9'
  • Not specified - 'Estonian Environmental Strategy 2030'
  • Not specified - 'European Maritime and Fisheries Fund (EMFF) Operational Programme for Estonia 2014-2020'
  • Not specified - 'Increasing response capacities to oil spills and biota rehabilitation capacity (Water Act)'
  • Not specified - 'The development of a network of protected areas in the coastal and territorial sea of the Baltic Sea'
  • BALEE-M001 - 'Developing a network of MPA in the Estonian EEZ'
  • BALEE-M002 - 'Compiling regional aquaculture plans to manage environmental pressures'
  • BALEE-M003 - 'Increasing knowledge on non-indigenous species to control their spread'
  • BALEE-M005 - 'Developing regional fishing restrictions and updating the size limits of commercial fish'
  • BALEE-M006 - 'Supporting the marketing/the use of limited value fish'
  • BALEE-M007 - 'Adjusting the fishing effort not to compromise achieving GES'
  • BALEE-M008 - 'Application of electronic reporting system for fishing gears to better control fishing and avoid abandoning of fishing gear'
  • Not specified - 'Establishing maritime spatial plans and implementing the HELCOM Recommendation 28E/9'
  • Not specified - 'Estonian Environmental Strategy 2030'
  • Not specified - 'European Maritime and Fisheries Fund (EMFF) Operational Programme for Estonia 2014-2020'
  • Not specified - 'Increasing response capacities to oil spills and biota rehabilitation capacity (Water Act)'
  • Not specified - 'The development of a network of protected areas in the coastal and territorial sea of the Baltic Sea'
  • BALEE-M001 - 'Developing a network of MPA in the Estonian EEZ'
  • BALEE-M002 - 'Compiling regional aquaculture plans to manage environmental pressures'
  • BALEE-M003 - 'Increasing knowledge on non-indigenous species to control their spread'
  • BALEE-M005 - 'Developing regional fishing restrictions and updating the size limits of commercial fish'
  • BALEE-M006 - 'Supporting the marketing/the use of limited value fish'
  • BALEE-M007 - 'Adjusting the fishing effort not to compromise achieving GES'
  • BALEE-M008 - 'Application of electronic reporting system for fishing gears to better control fishing and avoid abandoning of fishing gear'
  • Not specified - 'Establishing maritime spatial plans and implementing the HELCOM Recommendation 28E/9'
  • Not specified - 'Estonian Environmental Strategy 2030'
  • Not specified - 'European Maritime and Fisheries Fund (EMFF) Operational Programme for Estonia 2014-2020'
  • Not specified - 'Increasing response capacities to oil spills and biota rehabilitation capacity (Water Act)'
  • Not specified - 'The development of a network of protected areas in the coastal and territorial sea of the Baltic Sea'
  • BALEE-M001 - 'Developing a network of MPA in the Estonian EEZ'
  • BALEE-M002 - 'Compiling regional aquaculture plans to manage environmental pressures'
  • BALEE-M003 - 'Increasing knowledge on non-indigenous species to control their spread'
  • BALEE-M005 - 'Developing regional fishing restrictions and updating the size limits of commercial fish'
  • BALEE-M006 - 'Supporting the marketing/the use of limited value fish'
  • BALEE-M007 - 'Adjusting the fishing effort not to compromise achieving GES'
  • BALEE-M008 - 'Application of electronic reporting system for fishing gears to better control fishing and avoid abandoning of fishing gear'
  • Not specified - 'Establishing maritime spatial plans and implementing the HELCOM Recommendation 28E/9'
  • Not specified - 'Estonian Environmental Strategy 2030'
  • Not specified - 'European Maritime and Fisheries Fund (EMFF) Operational Programme for Estonia 2014-2020'
  • Not specified - 'Increasing response capacities to oil spills and biota rehabilitation capacity (Water Act)'
  • Not specified - 'The development of a network of protected areas in the coastal and territorial sea of the Baltic Sea'
  • BALEE-M001 - 'Developing a network of MPA in the Estonian EEZ'
  • BALEE-M002 - 'Compiling regional aquaculture plans to manage environmental pressures'
  • BALEE-M003 - 'Increasing knowledge on non-indigenous species to control their spread'
  • BALEE-M005 - 'Developing regional fishing restrictions and updating the size limits of commercial fish'
  • BALEE-M006 - 'Supporting the marketing/the use of limited value fish'
  • BALEE-M007 - 'Adjusting the fishing effort not to compromise achieving GES'
  • BALEE-M008 - 'Application of electronic reporting system for fishing gears to better control fishing and avoid abandoning of fishing gear'
  • Not specified - 'Establishing maritime spatial plans and implementing the HELCOM Recommendation 28E/9'
  • Not specified - 'Estonian Environmental Strategy 2030'
  • Not specified - 'European Maritime and Fisheries Fund (EMFF) Operational Programme for Estonia 2014-2020'
  • Not specified - 'Increasing response capacities to oil spills and biota rehabilitation capacity (Water Act)'
  • Not specified - 'The development of a network of protected areas in the coastal and territorial sea of the Baltic Sea'
  • BALEE-M001 - 'Developing a network of MPA in the Estonian EEZ'
  • BALEE-M002 - 'Compiling regional aquaculture plans to manage environmental pressures'
  • BALEE-M003 - 'Increasing knowledge on non-indigenous species to control their spread'
  • BALEE-M005 - 'Developing regional fishing restrictions and updating the size limits of commercial fish'
  • BALEE-M006 - 'Supporting the marketing/the use of limited value fish'
  • BALEE-M007 - 'Adjusting the fishing effort not to compromise achieving GES'
  • BALEE-M008 - 'Application of electronic reporting system for fishing gears to better control fishing and avoid abandoning of fishing gear'
  • Not specified - 'Establishing maritime spatial plans and implementing the HELCOM Recommendation 28E/9'
  • Not specified - 'Estonian Environmental Strategy 2030'
  • Not specified - 'European Maritime and Fisheries Fund (EMFF) Operational Programme for Estonia 2014-2020'
  • Not specified - 'Increasing response capacities to oil spills and biota rehabilitation capacity (Water Act)'
  • Not specified - 'The development of a network of protected areas in the coastal and territorial sea of the Baltic Sea'
  • BALEE-M001 - 'Developing a network of MPA in the Estonian EEZ'
  • BALEE-M002 - 'Compiling regional aquaculture plans to manage environmental pressures'
  • BALEE-M003 - 'Increasing knowledge on non-indigenous species to control their spread'
  • BALEE-M005 - 'Developing regional fishing restrictions and updating the size limits of commercial fish'
  • BALEE-M006 - 'Supporting the marketing/the use of limited value fish'
  • BALEE-M007 - 'Adjusting the fishing effort not to compromise achieving GES'
  • BALEE-M008 - 'Application of electronic reporting system for fishing gears to better control fishing and avoid abandoning of fishing gear'
  • Not specified - 'Establishing maritime spatial plans and implementing the HELCOM Recommendation 28E/9'
  • Not specified - 'Estonian Environmental Strategy 2030'
  • Not specified - 'European Maritime and Fisheries Fund (EMFF) Operational Programme for Estonia 2014-2020'
  • Not specified - 'Increasing response capacities to oil spills and biota rehabilitation capacity (Water Act)'
  • Not specified - 'The development of a network of protected areas in the coastal and territorial sea of the Baltic Sea'
  • BALFI-M011-FISH - 'FISH1 - Assessment of the possibilities and need for improving the effectiveness of restrictions on fishing of coastal species'
  • BALFI-M026-HABIT - 'HABIT2 - Action plans for endangered species and habitats'
  • BALFI-M011-FISH - 'FISH1 - Assessment of the possibilities and need for improving the effectiveness of restrictions on fishing of coastal species'
  • BALFI-M026-HABIT - 'HABIT2 - Action plans for endangered species and habitats'
  • BALFI-M011-FISH - 'FISH1 - Assessment of the possibilities and need for improving the effectiveness of restrictions on fishing of coastal species'
  • BALFI-M026-HABIT - 'HABIT2 - Action plans for endangered species and habitats'
  • BALFI-M011-FISH - 'FISH1 - Assessment of the possibilities and need for improving the effectiveness of restrictions on fishing of coastal species'
  • BALFI-M026-HABIT - 'HABIT2 - Action plans for endangered species and habitats'
  • BALFI-M011-FISH - 'FISH1 - Assessment of the possibilities and need for improving the effectiveness of restrictions on fishing of coastal species'
  • BALFI-M026-HABIT - 'HABIT2 - Action plans for endangered species and habitats'
  • BALFI-M011-FISH - 'FISH1 - Assessment of the possibilities and need for improving the effectiveness of restrictions on fishing of coastal species'
  • BALFI-M026-HABIT - 'HABIT2 - Action plans for endangered species and habitats'
  • BALFI-M011-FISH - 'FISH1 - Assessment of the possibilities and need for improving the effectiveness of restrictions on fishing of coastal species'
  • BALFI-M026-HABIT - 'HABIT2 - Action plans for endangered species and habitats'
  • BALFI-M011-FISH - 'FISH1 - Assessment of the possibilities and need for improving the effectiveness of restrictions on fishing of coastal species'
  • BALFI-M026-HABIT - 'HABIT2 - Action plans for endangered species and habitats'
  • BALFI-M011-FISH - 'FISH1 - Assessment of the possibilities and need for improving the effectiveness of restrictions on fishing of coastal species'
  • BALFI-M026-HABIT - 'HABIT2 - Action plans for endangered species and habitats'
  • BALFI-M011-FISH - 'FISH1 - Assessment of the possibilities and need for improving the effectiveness of restrictions on fishing of coastal species'
  • BALFI-M026-HABIT - 'HABIT2 - Action plans for endangered species and habitats'
  • BALFI-M011-FISH - 'FISH1 - Assessment of the possibilities and need for improving the effectiveness of restrictions on fishing of coastal species'
  • BALFI-M026-HABIT - 'HABIT2 - Action plans for endangered species and habitats'
  • BALFI-M011-FISH - 'FISH1 - Assessment of the possibilities and need for improving the effectiveness of restrictions on fishing of coastal species'
  • BALFI-M026-HABIT - 'HABIT2 - Action plans for endangered species and habitats'
  • BALFI-M011-FISH - 'FISH1 - Assessment of the possibilities and need for improving the effectiveness of restrictions on fishing of coastal species'
  • BALFI-M026-HABIT - 'HABIT2 - Action plans for endangered species and habitats'
  • BALFI-M011-FISH - 'FISH1 - Assessment of the possibilities and need for improving the effectiveness of restrictions on fishing of coastal species'
  • BALFI-M026-HABIT - 'HABIT2 - Action plans for endangered species and habitats'
  • BALFI-M011-FISH - 'FISH1 - Assessment of the possibilities and need for improving the effectiveness of restrictions on fishing of coastal species'
  • BALFI-M026-HABIT - 'HABIT2 - Action plans for endangered species and habitats'
  • BALFI-M011-FISH - 'FISH1 - Assessment of the possibilities and need for improving the effectiveness of restrictions on fishing of coastal species'
  • BALFI-M026-HABIT - 'HABIT2 - Action plans for endangered species and habitats'
  • BALFI-M011-FISH - 'FISH1 - Assessment of the possibilities and need for improving the effectiveness of restrictions on fishing of coastal species'
  • BALFI-M026-HABIT - 'HABIT2 - Action plans for endangered species and habitats'
  • 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 was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
Adequate monitoring was in place in 2014
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
  • DK-D04-01
  • Dk-D04-02
  • DK-D04-01
  • Dk-D04-02
  • BALEE-D00-40_MarineAndCoastalActivities
  • BALEE-D0104-1_BirdsWinter
  • BALEE-D0104-2_BirdsBreeding
  • BALEE-D010403-7_FishCoastal
  • BALEE-D010403-8_FishOffshore
  • BALEE-D010405-10_Phytop
  • BALEE-D010405-11_Zoopl
  • BALEE-D01040605-14_Macrozoobenthos
  • BALEE-D05-20_PhytopChla
  • BALEE-D00-40_MarineAndCoastalActivities
  • BALEE-D0104-1_BirdsWinter
  • BALEE-D0104-2_BirdsBreeding
  • BALEE-D010403-7_FishCoastal
  • BALEE-D010403-8_FishOffshore
  • BALEE-D010405-10_Phytop
  • BALEE-D010405-11_Zoopl
  • BALEE-D01040605-14_Macrozoobenthos
  • BALEE-D05-20_PhytopChla
  • BALEE-D00-40_MarineAndCoastalActivities
  • BALEE-D0104-1_BirdsWinter
  • BALEE-D0104-2_BirdsBreeding
  • BALEE-D010403-7_FishCoastal
  • BALEE-D010403-8_FishOffshore
  • BALEE-D010405-10_Phytop
  • BALEE-D010405-11_Zoopl
  • BALEE-D01040605-14_Macrozoobenthos
  • BALEE-D05-20_PhytopChla
  • BALEE-D00-40_MarineAndCoastalActivities
  • BALEE-D0104-1_BirdsWinter
  • BALEE-D0104-2_BirdsBreeding
  • BALEE-D010403-7_FishCoastal
  • BALEE-D010403-8_FishOffshore
  • BALEE-D010405-10_Phytop
  • BALEE-D010405-11_Zoopl
  • BALEE-D01040605-14_Macrozoobenthos
  • BALEE-D05-20_PhytopChla
  • BALEE-D00-40_MarineAndCoastalActivities
  • BALEE-D0104-1_BirdsWinter
  • BALEE-D0104-2_BirdsBreeding
  • BALEE-D010403-7_FishCoastal
  • BALEE-D010403-8_FishOffshore
  • BALEE-D010405-10_Phytop
  • BALEE-D010405-11_Zoopl
  • BALEE-D01040605-14_Macrozoobenthos
  • BALEE-D05-20_PhytopChla
  • BALEE-D00-40_MarineAndCoastalActivities
  • BALEE-D0104-1_BirdsWinter
  • BALEE-D0104-2_BirdsBreeding
  • BALEE-D010403-7_FishCoastal
  • BALEE-D010403-8_FishOffshore
  • BALEE-D010405-10_Phytop
  • BALEE-D010405-11_Zoopl
  • BALEE-D01040605-14_Macrozoobenthos
  • BALEE-D05-20_PhytopChla
  • BALEE-D00-40_MarineAndCoastalActivities
  • BALEE-D0104-1_BirdsWinter
  • BALEE-D0104-2_BirdsBreeding
  • BALEE-D010403-7_FishCoastal
  • BALEE-D010403-8_FishOffshore
  • BALEE-D010405-10_Phytop
  • BALEE-D010405-11_Zoopl
  • BALEE-D01040605-14_Macrozoobenthos
  • BALEE-D05-20_PhytopChla
  • BALEE-D00-40_MarineAndCoastalActivities
  • BALEE-D0104-1_BirdsWinter
  • BALEE-D0104-2_BirdsBreeding
  • BALEE-D010403-7_FishCoastal
  • BALEE-D010403-8_FishOffshore
  • BALEE-D010405-10_Phytop
  • BALEE-D010405-11_Zoopl
  • BALEE-D01040605-14_Macrozoobenthos
  • BALEE-D05-20_PhytopChla
  • BALEE-D00-40_MarineAndCoastalActivities
  • BALEE-D0104-1_BirdsWinter
  • BALEE-D0104-2_BirdsBreeding
  • BALEE-D010403-7_FishCoastal
  • BALEE-D010403-8_FishOffshore
  • BALEE-D010405-10_Phytop
  • BALEE-D010405-11_Zoopl
  • BALEE-D01040605-14_Macrozoobenthos
  • BALEE-D05-20_PhytopChla
  • 04
  • 06ben-1
  • 06ben-2
  • 06ben-3
  • 06ben-5
  • 06bir-1
  • 06bir-2
  • 06bir-3
  • 06bir-4
  • 06bir-5
  • 06mam-1
  • 06mam-2
  • 06mam-3
  • 06pel-1
  • 06pel-2
  • BALFI-d01
  • BALFI-d03-1
  • BALFI-d03-2
  • BALFI-d05-3
  • 04
  • 06ben-1
  • 06ben-2
  • 06ben-3
  • 06ben-5
  • 06bir-1
  • 06bir-2
  • 06bir-3
  • 06bir-4
  • 06bir-5
  • 06mam-1
  • 06mam-2
  • 06mam-3
  • 06pel-1
  • 06pel-2
  • BALFI-d01
  • BALFI-d03-1
  • BALFI-d03-2
  • BALFI-d05-3
  • 04
  • 06ben-1
  • 06ben-2
  • 06ben-3
  • 06ben-5
  • 06bir-1
  • 06bir-2
  • 06bir-3
  • 06bir-4
  • 06bir-5
  • 06mam-1
  • 06mam-2
  • 06mam-3
  • 06pel-1
  • 06pel-2
  • BALFI-d01
  • BALFI-d03-1
  • BALFI-d03-2
  • BALFI-d05-3
  • 04
  • 06ben-1
  • 06ben-2
  • 06ben-3
  • 06ben-5
  • 06bir-1
  • 06bir-2
  • 06bir-3
  • 06bir-4
  • 06bir-5
  • 06mam-1
  • 06mam-2
  • 06mam-3
  • 06pel-1
  • 06pel-2
  • BALFI-d01
  • BALFI-d03-1
  • BALFI-d03-2
  • BALFI-d05-3
  • 04
  • 06ben-1
  • 06ben-2
  • 06ben-3
  • 06ben-5
  • 06bir-1
  • 06bir-2
  • 06bir-3
  • 06bir-4
  • 06bir-5
  • 06mam-1
  • 06mam-2
  • 06mam-3
  • 06pel-1
  • 06pel-2
  • BALFI-d01
  • BALFI-d03-1
  • BALFI-d03-2
  • BALFI-d05-3
  • 04
  • 06ben-1
  • 06ben-2
  • 06ben-3
  • 06ben-5
  • 06bir-1
  • 06bir-2
  • 06bir-3
  • 06bir-4
  • 06bir-5
  • 06mam-1
  • 06mam-2
  • 06mam-3
  • 06pel-1
  • 06pel-2
  • BALFI-d01
  • BALFI-d03-1
  • BALFI-d03-2
  • BALFI-d05-3
  • 04
  • 06ben-1
  • 06ben-2
  • 06ben-3
  • 06ben-5
  • 06bir-1
  • 06bir-2
  • 06bir-3
  • 06bir-4
  • 06bir-5
  • 06mam-1
  • 06mam-2
  • 06mam-3
  • 06pel-1
  • 06pel-2
  • BALFI-d01
  • BALFI-d03-1
  • BALFI-d03-2
  • BALFI-d05-3
  • 04
  • 06ben-1
  • 06ben-2
  • 06ben-3
  • 06ben-5
  • 06bir-1
  • 06bir-2
  • 06bir-3
  • 06bir-4
  • 06bir-5
  • 06mam-1
  • 06mam-2
  • 06mam-3
  • 06pel-1
  • 06pel-2
  • BALFI-d01
  • BALFI-d03-1
  • BALFI-d03-2
  • BALFI-d05-3
  • 04
  • 06ben-1
  • 06ben-2
  • 06ben-3
  • 06ben-5
  • 06bir-1
  • 06bir-2
  • 06bir-3
  • 06bir-4
  • 06bir-5
  • 06mam-1
  • 06mam-2
  • 06mam-3
  • 06pel-1
  • 06pel-2
  • BALFI-d01
  • BALFI-d03-1
  • BALFI-d03-2
  • BALFI-d05-3
  • 04
  • 06ben-1
  • 06ben-2
  • 06ben-3
  • 06ben-5
  • 06bir-1
  • 06bir-2
  • 06bir-3
  • 06bir-4
  • 06bir-5
  • 06mam-1
  • 06mam-2
  • 06mam-3
  • 06pel-1
  • 06pel-2
  • BALFI-d01
  • BALFI-d03-1
  • BALFI-d03-2
  • BALFI-d05-3
  • 04
  • 06ben-1
  • 06ben-2
  • 06ben-3
  • 06ben-5
  • 06bir-1
  • 06bir-2
  • 06bir-3
  • 06bir-4
  • 06bir-5
  • 06mam-1
  • 06mam-2
  • 06mam-3
  • 06pel-1
  • 06pel-2
  • BALFI-d01
  • BALFI-d03-1
  • BALFI-d03-2
  • BALFI-d05-3
  • 04
  • 06ben-1
  • 06ben-2
  • 06ben-3
  • 06ben-5
  • 06bir-1
  • 06bir-2
  • 06bir-3
  • 06bir-4
  • 06bir-5
  • 06mam-1
  • 06mam-2
  • 06mam-3
  • 06pel-1
  • 06pel-2
  • BALFI-d01
  • BALFI-d03-1
  • BALFI-d03-2
  • BALFI-d05-3
  • 04
  • 06ben-1
  • 06ben-2
  • 06ben-3
  • 06ben-5
  • 06bir-1
  • 06bir-2
  • 06bir-3
  • 06bir-4
  • 06bir-5
  • 06mam-1
  • 06mam-2
  • 06mam-3
  • 06pel-1
  • 06pel-2
  • BALFI-d01
  • BALFI-d03-1
  • BALFI-d03-2
  • BALFI-d05-3
  • 04
  • 06ben-1
  • 06ben-2
  • 06ben-3
  • 06ben-5
  • 06bir-1
  • 06bir-2
  • 06bir-3
  • 06bir-4
  • 06bir-5
  • 06mam-1
  • 06mam-2
  • 06mam-3
  • 06pel-1
  • 06pel-2
  • BALFI-d01
  • BALFI-d03-1
  • BALFI-d03-2
  • BALFI-d05-3
  • 04
  • 06ben-1
  • 06ben-2
  • 06ben-3
  • 06ben-5
  • 06bir-1
  • 06bir-2
  • 06bir-3
  • 06bir-4
  • 06bir-5
  • 06mam-1
  • 06mam-2
  • 06mam-3
  • 06pel-1
  • 06pel-2
  • BALFI-d01
  • BALFI-d03-1
  • BALFI-d03-2
  • BALFI-d05-3
  • 04
  • 06ben-1
  • 06ben-2
  • 06ben-3
  • 06ben-5
  • 06bir-1
  • 06bir-2
  • 06bir-3
  • 06bir-4
  • 06bir-5
  • 06mam-1
  • 06mam-2
  • 06mam-3
  • 06pel-1
  • 06pel-2
  • BALFI-d01
  • BALFI-d03-1
  • BALFI-d03-2
  • BALFI-d05-3
  • 04
  • 06ben-1
  • 06ben-2
  • 06ben-3
  • 06ben-5
  • 06bir-1
  • 06bir-2
  • 06bir-3
  • 06bir-4
  • 06bir-5
  • 06mam-1
  • 06mam-2
  • 06mam-3
  • 06pel-1
  • 06pel-2
  • BALFI-d01
  • BALFI-d03-1
  • BALFI-d03-2
  • BALFI-d05-3
  • BALLT-D01234_FishCoastal
  • BALLT-D024_Zoopl
  • BALLT-D025_Phyto
  • BALLT-D01234_FishCoastal
  • BALLT-D024_Zoopl
  • BALLT-D025_Phyto
  • BALLT-D01234_FishCoastal
  • BALLT-D024_Zoopl
  • BALLT-D025_Phyto
  • LV-4.1.4. (D1C6)
  • LV-4.4.1. (D4C1)
  • LV-4.1.4. (D1C6)
  • LV-4.4.1. (D4C1)
  • PL-D06-01
  • PL-D06-02
  • PL-D1.1-01
  • PL-D1.1-02
  • PL-D1.2-01
  • PL-D1.2-02
  • PL-D1.2-03
  • PL-D1.3-01
  • PL-D1.3-02
  • PL-D1.3-03
  • PL-D1.3-04
  • PL-D1.6-01
  • PL-D1.6-02
  • PL-D06-01
  • PL-D06-02
  • PL-D1.1-01
  • PL-D1.1-02
  • PL-D1.2-01
  • PL-D1.2-02
  • PL-D1.2-03
  • PL-D1.3-01
  • PL-D1.3-02
  • PL-D1.3-03
  • PL-D1.3-04
  • PL-D1.6-01
  • PL-D1.6-02
  • PL-D06-01
  • PL-D06-02
  • PL-D1.1-01
  • PL-D1.1-02
  • PL-D1.2-01
  • PL-D1.2-02
  • PL-D1.2-03
  • PL-D1.3-01
  • PL-D1.3-02
  • PL-D1.3-03
  • PL-D1.3-04
  • PL-D1.6-01
  • PL-D1.6-02
  • PL-D06-01
  • PL-D06-02
  • PL-D1.1-01
  • PL-D1.1-02
  • PL-D1.2-01
  • PL-D1.2-02
  • PL-D1.2-03
  • PL-D1.3-01
  • PL-D1.3-02
  • PL-D1.3-03
  • PL-D1.3-04
  • PL-D1.6-01
  • PL-D1.6-02
  • PL-D06-01
  • PL-D06-02
  • PL-D1.1-01
  • PL-D1.1-02
  • PL-D1.2-01
  • PL-D1.2-02
  • PL-D1.2-03
  • PL-D1.3-01
  • PL-D1.3-02
  • PL-D1.3-03
  • PL-D1.3-04
  • PL-D1.6-01
  • PL-D1.6-02
  • PL-D06-01
  • PL-D06-02
  • PL-D1.1-01
  • PL-D1.1-02
  • PL-D1.2-01
  • PL-D1.2-02
  • PL-D1.2-03
  • PL-D1.3-01
  • PL-D1.3-02
  • PL-D1.3-03
  • PL-D1.3-04
  • PL-D1.6-01
  • PL-D1.6-02
  • PL-D06-01
  • PL-D06-02
  • PL-D1.1-01
  • PL-D1.1-02
  • PL-D1.2-01
  • PL-D1.2-02
  • PL-D1.2-03
  • PL-D1.3-01
  • PL-D1.3-02
  • PL-D1.3-03
  • PL-D1.3-04
  • PL-D1.6-01
  • PL-D1.6-02
  • PL-D06-01
  • PL-D06-02
  • PL-D1.1-01
  • PL-D1.1-02
  • PL-D1.2-01
  • PL-D1.2-02
  • PL-D1.2-03
  • PL-D1.3-01
  • PL-D1.3-02
  • PL-D1.3-03
  • PL-D1.3-04
  • PL-D1.6-01
  • PL-D1.6-02
  • PL-D06-01
  • PL-D06-02
  • PL-D1.1-01
  • PL-D1.1-02
  • PL-D1.2-01
  • PL-D1.2-02
  • PL-D1.2-03
  • PL-D1.3-01
  • PL-D1.3-02
  • PL-D1.3-03
  • PL-D1.3-04
  • PL-D1.6-01
  • PL-D1.6-02
  • PL-D06-01
  • PL-D06-02
  • PL-D1.1-01
  • PL-D1.1-02
  • PL-D1.2-01
  • PL-D1.2-02
  • PL-D1.2-03
  • PL-D1.3-01
  • PL-D1.3-02
  • PL-D1.3-03
  • PL-D1.3-04
  • PL-D1.6-01
  • PL-D1.6-02
  • PL-D06-01
  • PL-D06-02
  • PL-D1.1-01
  • PL-D1.1-02
  • PL-D1.2-01
  • PL-D1.2-02
  • PL-D1.2-03
  • PL-D1.3-01
  • PL-D1.3-02
  • PL-D1.3-03
  • PL-D1.3-04
  • PL-D1.6-01
  • PL-D1.6-02
  • PL-D06-01
  • PL-D06-02
  • PL-D1.1-01
  • PL-D1.1-02
  • PL-D1.2-01
  • PL-D1.2-02
  • PL-D1.2-03
  • PL-D1.3-01
  • PL-D1.3-02
  • PL-D1.3-03
  • PL-D1.3-04
  • PL-D1.6-01
  • PL-D1.6-02
  • PL-D06-01
  • PL-D06-02
  • PL-D1.1-01
  • PL-D1.1-02
  • PL-D1.2-01
  • PL-D1.2-02
  • PL-D1.2-03
  • PL-D1.3-01
  • PL-D1.3-02
  • PL-D1.3-03
  • PL-D1.3-04
  • PL-D1.6-01
  • PL-D1.6-02
  • PL-D06-01
  • PL-D06-02
  • PL-D1.1-01
  • PL-D1.1-02
  • PL-D1.2-01
  • PL-D1.2-02
  • PL-D1.2-03
  • PL-D1.3-01
  • PL-D1.3-02
  • PL-D1.3-03
  • PL-D1.3-04
  • PL-D1.6-01
  • PL-D1.6-02
  • PL-D06-01
  • PL-D06-02
  • PL-D1.1-01
  • PL-D1.1-02
  • PL-D1.2-01
  • PL-D1.2-02
  • PL-D1.2-03
  • PL-D1.3-01
  • PL-D1.3-02
  • PL-D1.3-03
  • PL-D1.3-04
  • PL-D1.6-01
  • PL-D1.6-02
  • PL-D06-01
  • PL-D06-02
  • PL-D1.1-01
  • PL-D1.1-02
  • PL-D1.2-01
  • PL-D1.2-02
  • PL-D1.2-03
  • PL-D1.3-01
  • PL-D1.3-02
  • PL-D1.3-03
  • PL-D1.3-04
  • PL-D1.6-01
  • PL-D1.6-02
  • PL-D06-01
  • PL-D06-02
  • PL-D1.1-01
  • PL-D1.1-02
  • PL-D1.2-01
  • PL-D1.2-02
  • PL-D1.2-03
  • PL-D1.3-01
  • PL-D1.3-02
  • PL-D1.3-03
  • PL-D1.3-04
  • PL-D1.6-01
  • PL-D1.6-02
  • PL-D06-01
  • PL-D06-02
  • PL-D1.1-01
  • PL-D1.1-02
  • PL-D1.2-01
  • PL-D1.2-02
  • PL-D1.2-03
  • PL-D1.3-01
  • PL-D1.3-02
  • PL-D1.3-03
  • PL-D1.3-04
  • PL-D1.6-01
  • PL-D1.6-02
  • PL-D06-01
  • PL-D06-02
  • PL-D1.1-01
  • PL-D1.1-02
  • PL-D1.2-01
  • PL-D1.2-02
  • PL-D1.2-03
  • PL-D1.3-01
  • PL-D1.3-02
  • PL-D1.3-03
  • PL-D1.3-04
  • PL-D1.6-01
  • PL-D1.6-02
  • 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
DK-D04-01
Dk-D04-02
BALEE-D00-40_MarineAndCoastalActivities
BALEE-D0104-1_BirdsWinter
BALEE-D0104-2_BirdsBreeding
BALEE-D010403-7_FishCoastal
BALEE-D010403-8_FishOffshore
BALEE-D010405-10_Phytop
BALEE-D010405-11_Zoopl
BALEE-D01040605-14_Macrozoobenthos
BALEE-D05-20_PhytopChla
BALFI-D01,04,06ben-1
BALFI-D01,04,06ben-2
BALFI-D01,04,06ben-3
BALFI-D01,04,06ben-5
BALFI-D01,04,06bir-1
BALFI-D01,04,06bir-2
BALFI-D01,04,06bir-4
BALFI-D01,04,06mam-1
BALFI-D01,04,06mam-2
BALFI-D01,04,06mam-3
BALFI-D01,04,06pel-1
BALFI-D01,04,06pel-2
BALFI-D03-1
BALFI-D03-2
BALFI-D05-3
BALFI-d01,04,06bir-3
BALFI-d01,04,06bir-5
BALLT-D01234_FishCoastal
BALLT-D024_Zoopl
BALLT-D025_Phyto
LV-4.1.4. (D1C6)
LV-4.4.1. (D4C1)
PL-D06-01
PL-D06-01
PL-D06-02
PL-D06-02
PL-D1.1-01
PL-D1.1-02
PL-D1.2-01
PL-D1.2-02
PL-D1.2-03
PL-D1.3-01
PL-D1.3-02
PL-D1.3-02
PL-D1.3-03
PL-D1.3-03
PL-D1.3-04
PL-D1.6-01
PL-D1.6-01
PL-D1.6-02
PL-D1.6-02
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 name
Foodwebs - biodiversity, abundance
Foodwebs - biodiversity, abundance
Marine and coastal activities
Abundance of wintering birds
Abundance of water birds in the breeding season
Coastal fish
Off-shore fish
Phytoplankton species composition, abundance and biomass
Zooplankton species composition, abundance and biomass
Macrozoobenthos
Chlorophyll-a
Offshore soft bottom macrozoobenthos
Coastal waters soft bottom fauna
Coastal hard bottom macroalgae and blue mussel communities
Soft bottom macrophytes
Marine breeding birds
Marine wintering birds
White tailed eagle breeding success
Seal adundance
Seal state of health
Abundance and distribution of harbour porpoises
Zooplankton species composition and abundance
Phytoplankton species composition, abundance and biomass
Fisheries data collection
Commercial fisheries catch statistics
Phytoplankton pigments
Mass mortalities of breeding sea birds
Hunting of sea birds and seals
BALLT-D01234_FishCoastal
BALLT-D024_Zoopl
BALLT-D025_Phyto
Ecosystems, including food webs (zooplankton)
Pelagic habitats community characteristics; Mobile species distribution, abundance and/or biomass (diversity of trophic guild zooplankton)
Seabed habitats - community characteristics
Seabed habitats - community characteristics
Benthic species – abundance or biomass
Benthic species – abundance or biomass
Mobile species - wintering birds - abundance
Mobile species - breeding seabirds - distribution and abundance
Mobile species – Harbour porpoise - distribution, density
Mobile species – Grey seal - distribution, abundance, reproduction
Mobile species – Harbour seal - distribution, abundance, reproduction
Mobile species - fish of the deep-water zone
Mobile species – fish of transitional waters
Mobile species – fish of transitional waters
Mobile species – coastal fish
Mobile species – coastal fish
Mobile species – shallow water fish
Pelagic habitats - community characteristics
Pelagic habitats - community characteristics
Plankton blooms (biomass, frequency)
Plankton blooms (biomass, frequency)
Coastal fish
Offshore fish
Macrozoobenthos - on the seafloor
Seabirds
Seals
Zooplankton
Macrophytes
Phytoplankton (including pelagic bacteria and harmful algal blooms)
Benthic habitats
Marine mammals health status
Macrozoobenthos - infauna
White-tailed eagle productivity
Update type
New programme
New programme
Modified from 2014
Modified from 2014
Same programme as in 2014
Modified from 2014
Same programme as in 2014
Same programme as in 2014
Same programme as in 2014
Same programme as in 2014
Same programme as in 2014
Same programme as in 2014
Same programme as in 2014
Modified from 2014
New programme
Same programme as in 2014
Same programme as in 2014
Same programme as in 2014
Same programme as in 2014
Same programme as in 2014
New programme
Same programme as in 2014
Same programme as in 2014
Same programme as in 2014
Same programme as in 2014
Same programme as in 2014
Same programme as in 2014
Same programme as in 2014
Same programme as in 2014
Same programme as in 2014
Same programme as in 2014
New programme
New programme
New programme
New programme
New programme
New programme
Same programme as in 2014
New programme
New programme
New programme
New programme
New programme
Same programme as in 2014
Same programme as in 2014
Same programme as in 2014
Same programme as in 2014
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
New programme
Modified from 2014
Modified from 2014
Modified from 2014
Old programme codes
  • BALEE-D00-39_CoastalOffshoreActivities
  • BALEE-D010403-7_FishCoastal
  • BALEE-D010403-9_FishMigratory
  • 04
  • 06ben-3
  • BALFI-D01
  • 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-Havskrafta
  • ANSSE-Birds-D14-Overvintrande
  • BALSE-Birds-D14-Hackande
  • BALSE-Birds-D14-Overvintrande
  • ANSSE-mammals-D14-Sal
  • BALSE-mammals-D14-Sal
  • ANSSE-PEL-D14-Djurplankton
  • BALSE-PEL-D14-Djurplankton
  • 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-HAZ-D814-Salhalsa
  • BALSE-HAZ-D814-Salhalsa
  • ANSSE-BENT-D165-Bottenfauna
  • BALSE-BENT-D165-Bottenfauna
  • BALSE-HAZ-D814-Havsorn
Programme description
Overvågningsprogrammet for havets fødenet er baseret på overvågningen af de enkelte komponenter, som indgår i fødenettet og som er beskrevet i de indrapporterede subprograms for D1, D3 og D6. Under blandt andet havstrategi-, vandramme- og habitatdirektivet udføres der under NOVANA overvågningen flere aktivere, der indgår i estimering af udbredelsesområde, habitatets udstrækning og tilstand og bestandsestimering for havfugle, havpattedyr, fisk, plankton og bundfauna. I regi af EU's fælles fiskeripolitik og dataindsamlingsforordningen indsamler Fiskeristyrelsen og DTU Aqua data fra diverse projekter, videnskabelige togter og årlige surveys, der benyttes til vurdering af landstal fra fiskeriet, artsfordeling, relativ populationstæthed og bestandsestimering af erhvervsmæssigt og ikke erhvervsmæssigt udnyttede fiskearter.
Udredningsprojekt omkring ENA-modellen I OSPAR er et regionalt pilotprojekt under udvikling, der vil implementere en fødenets-model (ENA-modellen; Ecological Network Analysis) for økosystemer i Kattegat og Doggerbanke i 2020. Det er planlagt, at modellen vil omfatte artsgrupperne fytoplankton, zooplankton, bundfauna og fisk, og sand-synligvis også pattedyr og fugle i det omfang data er tilgængelige. For Danmarks vedkommende vil det marine fagdatacenter (MFDC), ved Aarhus Universitet stå for datalevering- og dataevaluering til projektet. Det forventes, at projektet vil resultere i: 1) en redegørelse for det danske datagrundlag på tværs af de trofiske niveauer og eventuelle mangler i forhold til overvågningsprogrammet, 2) en vurdering af ENA-modellens relevans i forhold til de danske havområder og 3) en redegørelse for eventuelle alternative anvendelser af de aggregerede data i forhold til at beskrive havets fødenet. Hvis pilotprojektet giver succesfulde resultater, er der mulighed for at fortsætte projektet i 2021.
The aim of the monitoring programme is to collect data on human activities that directly or indirectly impact the marine environment. The monitored human activities are those listed in the MSFD Annex III Table 2b (2017/845/EC) and relevant for point (c) of Article 8(1), and Articles 10 and 13. The following activities are covered: Coastal defence and flood protection; Offshore structures (other than for oil/gas/renewables); Restructuring of seabed morphology, including dredging and depositing of materials; Extraction of minerals; Extraction of oil and gas, including infrastructure; Extraction of water; Renewable energy generation (wind, wave and tidal power), including infrastructure; Transmission of electricity and communications (cables); Fish harvesting (professional, recreational); Fish and shellfish processing; Marine plant harvesting; Hunting and collecting for other purposes; Aquaculture — marine, including infrastructure; Transport infrastructure; Transport — shipping; Waste treatment and disposal; Tourism and leisure infrastructure; Tourism and leisure activities; Military operations and Research, survey and educational activities. Data are gathered at least once during a six-year assessment period, but in some cases also annually. The system of such data collection activities is still under development. The programme corresponds to the following monitoring programmes in the indicative list: Activities extracting living resources (fisheries including recreational, marine plant harvesting, hunting and collecting); Activities extracting non-living resources (sand, gravel, dredging); Activities producing food (aquaculture); Activities with permanent infrastructures (e.g. renewable energy, oil & gas, ports) or structural changes (e.g. coastal defences); Sea-based mobile activities (shipping, boating); Coastal human activities (e.g. tourism, recreational sports, ecotourism). The programme is the further development of the programme presented in 2014. The code of the programme also changed.
The aim of the programme is to monitor the abundance of waterbirds in the Estonian coastal and off-shore areas during the wintering season. It provides data to monitoring strategy “SD1.1 – Biological diversity – Birds”. The programme is related to GES Descriptor D1, Criterion D1C2 and potentially D1C3 and D1C4, as well as GES Descriptor D4, Criteria D4C1 and D4C2. Monitoring is conducted yearly with a goal to cover the whole area (coastal and off-shore areas) every five years. Visual counting from land in defined sectors and flight counting in off-shore areas are conducted. The programme (data collection) is regionally coordinated by HELCOM and Wetlands International. Data are annually reported to the national environmental monitoring database KESE (by 1 March). Data collection into the regional database for assessment purposes is coordinated by the HELCOM/ICES JWGBird Group. The programme was updated and modified since 2014 by adding the monitoring of the abundance of wintering waterbirds in the off-shore area. The programme corresponds to the following monitoring programmes in the indicative list: Mobile species – distribution, abundance and/or biomass; Mobile species – population characteristics.
The aim of the programme is to monitor the abundance of waterbirds in Estonian coastal areas during the breeding season. It provides data to monitoring strategy “SD1.1 – Biological diversity – Birds” and “SD8 – Contaminants”. The programme is related to GES Descriptor D1, Criterion D1C2 and potentially D1C3 and D1C4, as well as GES Descriptor D4, Criteria D4C2 and D4C4 and Descriptor D8, Criterion D8C2. Monitoring is conducted yearly on small islands (island groups) where the full number of nests and species are registered. White-tailed eagle breeding success is monitored to assess the impact of contaminants. The monitoring area of the white-tailed eagle relevant to marine status assessment covers the area up to 20 km landward from the seashore. The programme data collection is regionally coordinated via HELCOM. Data are annually reported to the national environmental monitoring database KESE (annually by 1 March). The programme corresponds to following monitoring programmes in the indicative list: Mobile species – distribution, abundance and/or biomass; Mobile species – health status; Mobile species – population characteristics.
The aim of the programme is to monitor the status of the coastal fish species and communities (Species composition of the group; Size, age and sex structure; fecundity, survival and mortality/injury rates; Habitat for the species (extent, suitability); Species abundance (numbers of individuals and/or biomass)). It provides data to monitoring strategy “SD1.4 Biodiversity – Fish”, „SD3–Commercially exploited fish“ and “SD4/SD1 Food webs / Biodiversity – ecosystems”, but also to “SD2– Non-indigenous species”. The program is regionally coordinated by HELCOM (partially also by ICES) and the HELCOM monitoring manual is followed. During the annual monitoring programme, all coastal fish species are included in the dataset, but special attention is directed towards economically significant or ecologically relevant key species (perch, flounder, pikeperch). Atlantic salmon is used as an indicator species for migratory (anadromous) fishes and is monitored in coastal waters and selected rivers (salmonid habitats). Monitoring of protected fish species under HD needs to be developed for the sea area as well. The programme was modified from 2014 by adding migratory fishes that were as a separate sub-programme in 2014. The programme corresponds to following monitoring programmes in the indicative list: Mobile species – distribution, abundance and/or biomass; Mobile species – population characteristics; Mobile species – mortality/injury rates from fisheries (targeted and/or incidental).
The aim of the programme is to monitor the status of the commercially exploited pelagic fish species – sprat and herring in the offshore areas of the Estonian marine waters. The biomass and fishing mortality of stocks are assessed. It provides data to monitoring strategy “SD1.4 Biodiversity – Fish” and „SD3-commercially exploited fish“. Monitoring is conducted annually. The program is regionally coordinated via ICES and the ICES monitoring manual is followed. The programme corresponds to following monitoring programmes in the indicative list: Mobile species – distribution, abundance and/or biomass; Mobile species – mortality/injury rates from fisheries (targeted and/or incidental).
The aim of the programme is to monitor phytoplankton communities (species composition, abundance, biomass and seasonal cycle of dominant groups) in the water column. It provides data to monitoring strategy “SD5 – Eutrophication”, as well as “SD1.6 Biodiversity – pelagic habitats”, “SD4/SD1 Food webs / Biodiversity – ecosystems” and “SD2– Non-indigenous species”. The programme is related to GES Descriptor D5, Criterion D5C2, Descriptor D1, Criterion D1C6 and Descriptor D4, Criterion D4C1. Data are gathered to assess spatial variability, temporal trends and environmental status in coastal water bodies and off-shore sub-basins of the Baltic Sea (HELCOM divisions) in response to pressure levels. Monitoring is conducted yearly or at least once in six years with a frequency of 5 to 12 times a year at the designated monitoring stations (at least 3 stations in each coastal water body and 11 in the Estonian off-shore areas). The program is regionally coordinated via HELCOM and the HELCOM monitoring manual is followed. Data are yearly reported to the national environmental monitoring database KESE (by 1 March) and ICES (HELCOM Combine). The threshold values for the indicator of seasonal succession of dominating phytoplankton groups are still missing for some assessment units of the Baltic Sea (incl. Estonian marine area), mainly due to the lack of data corresponding to the set criteria. The programme is essentially the same as in 2014, only minor changes in some monitoring stations and frequencies were undertaken. The programme corresponds to the following monitoring programmes in the indicative list: Pelagic habitats – community characteristics.
The aim of the programme is to monitor species composition, abundance and biomass of mesozooplankton. It provides data to monitoring strategy “SD1.6 Biodiversity – pelagic habitats”, as well as “SD2-Non-indigenous species” and “SD4/SD1 Food webs / Biodiversity – ecosystems”. The programme is related to GES Descriptors D1, Criterion D1C6, Description D2 Criterions D2C1 and D2C2 and Descriptor D4 Criterion D4C2. Data are gathered to assess the state of the marine environment and environmental status in three coastal water bodies and all off-shore sub-basins of the Baltic Sea (HELCOM sub-divisions) as well as pressures from/by non-indigenous species. Monitoring is conducted yearly with a frequency 10 times a year at the designated coastal monitoring stations (3 stations in each coastal water body) and with frequency twice a year for 16 stations in the Estonian off-shore areas. The program is regionally coordinated via HELCOM and the HELCOM guidelines are followed. Data are yearly reported to the national environmental monitoring database KESE (by 1 March) and ICES (HELCOM Combine). Mesozooplankton Mean Size Total Stock indicator is developed by HELCOM on the basis of mesozooplankton data. The threshold values for the indicator have been internationally agreed for some sub-basins, but not for the Gulf of Riga yet. The programme is essentially the same as in 2014, only minor changes in some monitoring stations and frequencies were undertaken. The programme corresponds to the following monitoring programmes in the indicative list: Pelagic habitats – community characteristics.
The aim of the programme is to monitor macrozoobenthos communities (species composition, abundance and biomass) on the seafloor. It provides data to monitoring strategy “SD5 – Eutrophication”, as well as “SD6/SD1 Sea-floor integrity/Biological diversity – benthic habitats”, “SD2– Non-indigenous species” and “SD4/SD1 Food webs / Biodiversity – ecosystems”. The programme is related to GES Descriptor D5, Criterion D5C8, Descriptor D2, Criteria D2C1, D2C2 and D2C3, Descriptor D4, Criterion D4C2 and Descriptor D6, Criterion D6C5. Data are gathered to assess spatial variability, temporal trends and environmental status in coastal water bodies and off-shore sub-basins of the Baltic Sea (HELCOM division) in response to pressure levels. Monitoring is conducted yearly or at least once in six years with a frequency once a year at the designated monitoring stations (at least 3 stations in each coastal water body and 11 in the Estonian off-shore areas). The program is regionally coordinated via HELCOM and the HELCOM monitoring manual is followed. The data are yearly reported to the national environmental monitoring database KESE (by 1 March) and ICES (HELCOM Combine). The programme is essentially the same as in 2014, only minor changes in some monitoring stations and frequencies were undertaken. The programme corresponds to the following monitoring programmes in the indicative list: Seabed habitats – community characteristics; Benthic species – abundance and/or biomass.
The aim of the programme is to monitor chlorophyll-a levels in the water column (including surface layer) to assess phytoplankton biomass and productivity. It provides data to monitoring strategy “SD5 – Eutrophication” and is related to GES Descriptor D5, Criterion D5C2, and strategy SD4/SD1, Criterion D4C2. Data are gathered to assess the environmental status in coastal water bodies and off-shore sub-basins of the Baltic Sea (HELCOM sub-divisions). Monitoring is conducted yearly or at least once in six years with a frequency of 6 to 12 times a year at the designated monitoring stations (at least 3 stations in each coastal water body and 18 in the Estonian off-shore areas). The programme data collection is regionally coordinated via HELCOM and the HELCOM guidelines are followed, data are delivered separately by each country. The data are yearly reported to the national environmental monitoring database KESE (by 1 March) and HELCOM ICES database (by 1 September). Algorithms for chlorophyll-a concentration estimates based on remote sensing data are under development. The programme is essentially the same as in 2014, only minor changes in some monitoring stations and frequencies were undertaken. The programme corresponds to the following monitoring programmes in the indicative list: Plankton blooms (biomass, frequency).
A description of the biological macrozoobenthic communities associated with the predominant seabed habitats. Changes in communities and abundance of alien species.
A description of the biological communities associated with the coastal soft bottom seabed habitats. Changes in communities and abundance of alien species.
Coastal hard bottom habitat forming macroalgae and blue mussel communities and population structure of macrozoobenthic species living in these habitats. Aims to observe structure changes in communities, which are especially affected by eutrophication.
Program monitors changes in macrophyte community (number of species and species coverage) in soft bottoms in coastal and shallow bay areas, which are affected among other things by eutrophication.
Currently the marine breeding birds counting network consists of 45 selected breeding areas situated in the archipelagos along the Finnish coast. About 20-30 of the areas are counted annually, but all areas are counted at least once every third year.
Wintering birds monitoring and data collection on species numbers, abundance and distribution.Work cordinated by HELCOM in Baltic Sea area.
White tailed eagle breeding success monitoring is largely based on volunteers coordinated by Sääksisäätiö-nonprofit organisation
Monitoring of the population dynamics, natural and actual range and status of grey seal and ringed seal. Abundance monitoring is conducted from aircraft. Seal bycatch data is collected from fishermen, which describes human pressure on seal mortality.
Each year, the sub-programme monitors the age and sex structure, reproductive efficiency and health status of seal populations, in particular the nutritional status. Samples are collected from seals caught/recovered by-catches by hunters and fishermen. Most of the samples come from hunted seals.
The sub-programme monitors the presence of porpoise in Finnish territorial waters by acoustic methods in the North Baltic and Åland Seas, where the species is regularly present. This information is complemented by public perceptions. In addition, data are collected on the number of porpoises killed in traps, which illustrates the human impact on porpoise mortality. The objective is to collect data on the Baltic porpoise population as part of international cooperation to preserve the harbour porpoise population classified as critically endangered in the main basin.
Zooplankton species composition, abundance and biomass
Phytoplankton species composition, abundance and biomass are monitored by counting phytoplankton from preserved water samples to identify changes in phytoplankton communities (e.g. harmful and invasive species
The sub-programme provides information on fisheries in EU countries. Data on the fish stock is collected by means of fishing samples and sonars. The aim is to provide information, inter alia, on scientific analysis and advice in support of the Common Fisheries Policy.
The sub-programme monitors catches by commercial fishermen and by-catches of birds and mammals. Monitoring shall be based on periodic catch reports from commercial fishermen to the authorities.
Program monitors phytoplankton blooms by monitoring pigments. Program produces information on consequences of eutrophication
Mass mortalities of breeding sea birds are monitored in the vicinity of breeding colonies. Therefore the monitoring is focuses on islands and islets in coastal and territorial waters. Aim is to register number of mass mortality's and causes
Hunting of sea birds and seals is practiced in coastal and territorial waters according to hunting regulations.Hunting organizations carry out game questionnaires. Hunting statistics are maintained by the hunting organizations and stored into a database. Data on species requiring special permit is obtained through the licensing system.
Valstybinis aplinkos monitoringas vykdomas pagal Valstybinę 2018-2023 m. programą. Monitoringo programos dalis BALLT-D01234_FishCoastal apima ichtiofaunos rūšinės sudėties, žuvų rūšių gausumo ir biomasės, žuvų amžinės ir dydžių struktūros tyrimus Baltijos jūros tyrimų rajonuose BAL-LT-AA-01 ir BAL-LT-AA-02. Ichtiofaunos monitoringas Baltijos jūros priekrantėje vykdomas 7 vietose, 1 kartą per metus kasmet (šiltuoju metų laiku). 4 tyrimų vietos išdėstytos žemyninėje ir Kuršių Nerijos priekrantės dalyse; 3 – Kuršių marių vandenų išplitimo Baltijos jūroje zonoje. 2018-2023 m. aplinkos monitoringo programos 2020 metų pakeitime tyrimai numatyti dažnesni – du kartus per metus (šiltuoju ir šaltuoju metų laiku). Baltijos jūros priekrantės žuvų bendrijų monitoringas taip pat vykdomas Duomenų rinkimo programos rėmuose, žuvų išteklių vertinimo tikslais. Duomenys naudojami BAL-LT-AA-01 rajono bioįvairovei pagal D1, mitybos tinklams pagal D4 vertinti. Renkamų duomenų pagrindu vertinami D1/D4 rodikliai: žuvų bendrijos dydžio ir žuvų bendrijos gausumo indeksas; D1 rodikliai: žuvų bendrijos įvairovės, žuvų bendrijos trofinis indeksai, plekšnių gausumas; D4 rodiklis - mezo-plėšrių žuvų gausumas. Duomenys kaupiami Lietuvos aplinkos apsaugos agentūros duomenų bazėje ir Gamtos tyrimų centre http://www.gamtostyrimai.lt/en/. Duomenų rinkimo programos rėmuose surinkti duomenys kaupiami Klaipėdos universiteto Jūros tyrimų institute (http://apc.ku.lt/en/). Teikiami HELCOM, ICES.
Valstybinis aplinkos monitoringas vykdomas pagal Valstybinę 2018-2023 m. programą. Monitoringo programos dalis BALLT-D024_Zoopl apima zooplanktono gausumo, biomasės, rūšinės sudėties, lyties ir vystymosi stadijos tyrimus Baltijos jūros tyrimų rajonuose BAL-LT-AA-01; BAL-LT-AA-02; BAL-LT-AA-03. Monitoringas vykdomas mokslinių tyrimų laivu „Vėjūnas“. Duomenys renkami kasmet, 16 stočių, 2 kartus per metus (pavasarį ir vasarą) BAL-LT-AA-01 ir BAL-LT-AA-02; 1-2 kartus per metus BAL-LT-AA-03 rajone. Duomenys naudojami pelaginėms buveinėms pagal D1, mitybos tinklams pagal D4, vertinti. Renkamų duomenų pagrindu vertinamas D4 rodiklis: Zooplanktono vidutinis dydis ir bendras išteklius (BAL-LT-AA-01; BAL-LT-AA-02; BAL-LT-AA-03 jūros rajonams) Duomenys kaupiami Lietuvos aplinkos apsaugos agentūros duomenų bazėje. Kasmet teikiami ICES.
Valstybinis aplinkos monitoringas vykdomas pagal Valstybinę 2018-2023 m. programą. Monitoringo programos dalis BALLT-D025_Phyto apima fitoplanktono gausumo, biomasės, rūšinės sudėties tyrimus Baltijos jūros tyrimų rajonuose BAL-LT-AA-01; BAL-LT-AA-02; BAL-LT-AA-03. Monitoringas vykdomas mokslinių tyrimų laivu „Vėjūnas“. Duomenys renkami kasmet, vidutiniškai 3-7 kartus per metus (dažnumas skiriasi skirtinguose rajonuose: BAL-LT-AA-01 ir BAL-LT-AA-02 – 3-7 kartai per metus; BAL-LT-AA-03 rajone tyrimai atliekami 1-4 kartus per metus). Duomenys naudojami pelaginėms buveinėms pagal D1, mitybos tinklams pagal D4, eutrofikacijai pagal D5 vertinti. Renkamų duomenų pagrindu vertinamias D4 rodiklis: Sezoninė dominuojančių fitoplanktono grupių kaita (tik BAL-LT-AA-01 jūros rajonui) Duomenys kaupiami Lietuvos aplinkos apsaugos agentūros duomenų bazėje. Kasmet teikiami ICES.
The purpose of the monitoring is to assess the ecological status of the Baltic Sea, including one of the environmental status indicators biodiversity by the state of one of the key elements in marine food webs zooplankton (species composition, abundance and biomass of zooplankton is determined) and changes in these parameters to assess the impact on environment caused by eutrophication and other kinds of anthropogenic pressures. Monitoring is carried out within the framework of the HELCOM monitoring program, in cooperation with the other Member States. Corresponding HELCOM monitoring programme topic Zooplankton and programme Zooplankton species composition, abundance and biomass. The monitoring of this programme is partially coordinated among HELCOM countries. Missing component(s): common quality assurance programme; common database. Corresponding document in HELCOM COMBINE manual is Guidelines for monitoring of mesozooplankton. The requirements for the marine waters of Latvia and the relationship of the specified environmental objectives with the qualitative characteristics characterizing the state of the marine environment are included in Regulation of the Cabinet of Ministers of Republic of Latvia No. 1071 of 23 November 2010, Requirements for the Assessment of the State of the Marine Environment, the Determination of Good Environmental State of the Sea and Development of Marine Environmental Goals.
The purpose of the monitoring is to assess the ecological status of the Baltic Sea, including one of the environmental status indicators state of food web by the determination of state of one of the main elements in marine food webs zooplankton (species composition, abundance and biomass is determined) and changes of these parameters to assess the impact on environment caused by eutrophication and other kinds of anthropogenic pressures. Monitoring is carried out within the framework of the HELCOM monitoring program, in cooperation with the other Member States. Corresponding HELCOM monitoring programme topic is Zooplankton and programme Zooplankton species composition, abundance and biomass. The monitoring of this programme is partially coordinated among HELCOM countries common quality assurance programme and common database is missing. The requirements for the marine waters of Latvia and the relationship of the specified environmental objectives with the qualitative characteristics characterizing the state of the marine environment are included in Regulation of the Cabinet of Ministers of Republic of Latvia No. 1071 of 23 November 2010, Requirements for the Assessment of the State of the Marine Environment, the Determination of Good Environmental State of the Sea and Development of Marine Environmental Goals.
The community characteristics is monitored each year in accordance with the HELCOM methodology, including parameters necessary for the assessment of benthic habitats. Monitoring includes sampling of macrozoobenthos at 16 stations and macrophyte and angiosperms at places of occurrence within PMA. For the transitional and coastal waterbodies monitoring will be carried out for 19 monitoring points in 2020-2021 and 11 monitoring points in 2022-2025 in accordance with the WFD monitoring programme, carried out under the surface water monitoring programme for the years 2020-2025 ("Strategic State Environmental Monitoring Programme for the years 2020-2025"), approved by the Competent Minister of Climate in 2020 and the surface water executive programme for a specific year of research approved annually by the Chief Inspector of Environmental Protection
The community characteristics is monitored each year in accordance with the HELCOM methodology, including parameters necessary for the assessment of benthic habitats. Monitoring includes sampling of macrozoobenthos at 16 stations and macrophyte and angiosperms at places of occurrence within PMA. For the transitional and coastal waterbodies monitoring will be carried out for 19 monitoring points in 2020-2021 and 11 monitoring points in 2022-2025 in accordance with the WFD monitoring programme, carried out under the surface water monitoring programme for the years 2020-2025 ("Strategic State Environmental Monitoring Programme for the years 2020-2025"), approved by the Competent Minister of Climate in 2020 and the surface water executive programme for a specific year of research approved annually by the Chief Inspector of Environmental Protection
The abundance and/or biomass of species is monitored each year in accordance with the HELCOM methodology, including parameters necessary for the assessment of benthic habitats. Monitoring includes sampling of macrozoobenthos at 16 stations and macrophyte and angiosperms at places of occurrence within PMA. For the transitional and coastal waterbodies monitoring will be carried out for 19 monitoring points in 2020-2021 and 11 monitoring points in 2022-2025 in accordance with the WFD monitoring programme, carried out under the surface water monitoring programme for the years 2020-2025 ("Strategic State Environmental Monitoring Programme for the years 2020-2025"), approved by the Competent Minister of Climate in 2020 and the surface water executive programme for a specific year of research approved annually by the Chief Inspector of Environmental Protection
The abundance and/or biomass of species is monitored each year in accordance with the HELCOM methodology, including parameters necessary for the assessment of benthic habitats. Monitoring includes sampling of macrozoobenthos at 16 stations and macrophyte and angiosperms at places of occurrence within PMA. For the transitional and coastal waterbodies monitoring will be carried out for 19 monitoring points in 2020-2021 and 11 monitoring points in 2022-2025 in accordance with the WFD monitoring programme, carried out under the surface water monitoring programme for the years 2020-2025 ("Strategic State Environmental Monitoring Programme for the years 2020-2025"), approved by the Competent Minister of Climate in 2020 and the surface water executive programme for a specific year of research approved annually by the Chief Inspector of Environmental Protection
Monitoring is carried out to meet the requirements of the Birds Directive as well as the Commission Directive (EU) 2017/845 of 17 May 2017 and criteria laid down in Commission Decision (EU) 2017/848 of 17 May 2017 for Descriptor D1. The results of the monitoring are also used for the work of the HELCOM group.
So far, three species have been monitored under this program: Cormorant, Sandwich Tern, and Dunlin. New species have been added to the monitoring program since 2020: Ringed Plover, Little Tern, Oystercatcher, and Shelduck.
Harbour porpoise will be monitored at three locations including two monitored in 2016-2018, i.e. Pomeranian Bay and Ławica Stilo and at one new location - Gulf of Gdańsk. In the case of Pomeranian Bay location all five monitoring stations will be deployed in the same locations as in the pilot research and SAMBAH project. In the case of Ławica Stilo location 4 monitoring stations will be identical to the ones from the pilot monitoring and SAMBAH project. The locations of the 5th station will be subject to the approval of Maritime Office. In the case of the Gulf of Gdańsk location, four stations will be equivalent of those designated within the SAMBAH project, while one station (station code: CPOD15) will be designated in the Puck Bay region, taking into account the specificities of this area (fisheries, shipping, tourism) and in agreement with maritime administration. In order to maintain regional coherence, the timeline for harbour porpoise monitoring should be compliant with the recommendations of the expert group on marine mammals HELCOM EXPERT GROUP ON MARINE MAMMALS – HELCOM EG MAMA (former name of the group - HELCOM SEAL), which are currently in the consultation stage. According to the recommendations of the HELCOM MAMA group the monitoring will be performed in accordance with one of two proposed methodologies. One methodology recommends to conduct monitoring for at least 24 months over the six-year period covered by the assessment, but not earlier than 3 years after the end of the previous monitoring. The second methodology recommends to conduct monitoring twice over a six-year period, each of research should last 12 months. The monitoring was planned in accordance with the initial recommendation of this group, i.e. 1 year of measurements every 3 years (HELCOM 2018). Currently the SAMBAH II project is in the planning stage, the project will cover the entire Baltic Sea area. At the time of development of the current update of the monitoring programme the starting date of research is not known. It is subject to the submission of an application to LIFE funding instrument for the 2021-2027 funding period for the funding of SAMABAH II project. The monitoring planned under SAMBAH II will include the area covered by the SAMBAH project and will be extended to research of areas deeper than 80 m. Within the SAMBAH II project, it is also planned to identify juveniles. To this end, within the implementation of one of the tasks of SAMBAH II, a model will be adapt
Monitoring of grey seal in Polish Marine Areas will be carried out each year, during which performed observations will allow to detect potential reproduction of this species and determine the abundance of the population from Vistula Mouth - Przekop (the only confirmed haul-out site on the Polish coast, determined at the time of the development of current update of the monitoring programme of marine waters). In the case of determination and confirmation of a new haul-out site during the current monitoring programme of marine waters it will be included in the monitoring. Monitoring of grey seal will be carried out in accordance with the recommendations contained in the document of the HELCOM MAMA expert group "Guidelines to the monitoring of seals" (HELCOM 2018) and the latest edition of the guideline for the monitoring of grey seal, posted on the Chief Inspectorate of Environmental Protection website in a subpage dedicated to monitoring of marine species and habitat (http://morskiesiedliska.gios.gov.pl/pl/do-pobrania/przewodniki-metodyczne). In the case of aircraft surveys, the methodology contained in the above documents will be used.
Monitoring of harbour seal is carried out in parallel with the monitoring of grey seal, i.e. the collection of information on the occurrence of harbour seal takes place during the monitoring of grey seal. In addition, in each monitoring year, one observation flight will be performed in August, i.e. during the harbour seal moulting period. The monitoring of harbour seal will include species identification of the other two seal species that may occur on the Polish coast, i.e. grey seal (constantly present) and ringed seal (occasionally occurring). Monitoring of harbour seal will be carried out in accordance with the recommendations of the HELCOM MAMA expert group contained in the document "Guidelines to the monitoring of seals" (HELCOM 2018) and the latest edition of the guideline for the monitoring of harbour seal, posted on the Chief Inspectorate of Environmental Protection website in a subpage dedicated to monitoring of marine species and habitat (http://morskiesiedliska.gios.gov.pl/pl/do-pobrania/przewodniki-metodyczne). The research will be carried out in accordance with the conditions described in the permits of relevant offices.
The ichthyological monitoring of the Polish Exclusive Economic Zone in the deepwater zone of Polish marine area has been carried out as a part of national environmental monitoring since 2011, based on data from BITS (Baltic International Trawl Surveys). BITS consist of cruises of particular Baltic countries being temporally and spatially coordinated by ICES. BITS methodology establishes use of standarized bottom trawl of the same design for scientific catches and use of the same research method for hauling sites sampling, data collection and uploading of collected data to the ICES common database - DATRAS, supplemented with measurement and ichthyological analysis of all fish species (including non-commercial).
Monitoring in transitional waterbodies is carried out once every 3 years, except for Puck Lagoon, Vistula Lagoon and Puck Bay, where monitoring is conducted annually. Fish monitoring in transitional waterbodies includes an analysis of the following elements: • determination of weight and abundance of all fish species present in the catch; • ichthyological analysis of a representative sample of all fish species present in the catch, taking into account their length, individual weight, sex, gonad maturity stage, stomach degree fullness and age of individual fish. The monitoring also includes the analysis of physico-chemical water parameters necessary for assessing the ecological status of transitional waters.
Monitoring in transitional waterbodies is carried out once every 3 years, except for Puck Lagoon, Vistula Lagoon and Puck Bay, where monitoring is conducted annually. Fish monitoring in transitional waterbodies includes an analysis of the following elements: • determination of weight and abundance of all fish species present in the catch; • ichthyological analysis of a representative sample of all fish species present in the catch, taking into account their length, individual weight, sex, gonad maturity stage, stomach degree fullness and age of individual fish. The monitoring also includes the analysis of physico-chemical water parameters necessary for assessing the ecological status of transitional waters.
Fish monitoring in coastal waterbodies includes an analysis of the following elements: • determination of weight and abundance of all fish species present in the catch; • ichthyological analysis of a representative sample of all fish species present in the catch, taking into account their length, individual weight, sex, gonad maturity stage, stomach degree fullness and age of individual fish. The monitoring also includes the analysis of physico-chemical water parameters necessary for assessing the ecological status of coastal waters.
Fish monitoring in coastal waterbodies includes an analysis of the following elements: • determination of weight and abundance of all fish species present in the catch; • ichthyological analysis of a representative sample of all fish species present in the catch, taking into account their length, individual weight, sex, gonad maturity stage, stomach degree fullness and age of individual fish. The monitoring also includes the analysis of physico-chemical water parameters necessary for assessing the ecological status of coastal waters.
Fish monitoring in offshore shallow water areas includes an analysis of the following elements: • determination of weight and abundance of all fish species present in the catch; • ichthyological analysis of a representative sample of all fish species present in the catch, taking into account their length, individual weight, sex, gonad maturity stage, stomach degree fullness and age of individual fish. The monitoring also includes the analysis of physico-chemical water parameters.
Monitoring programme of pelagic habitats – community characteristics includes the determination of the characteristics and variability of phytoplankton and zooplankton communities in PMA. Monitoring is carried out annually in 10 locations in accordance with the HELCOM guidelines. For the transitional and coastal waterbodies monitoring will be carried out for 19 monitoring points in 2020-2021 and 11 monitoring points in 2022-2025 in accordance with the WFD monitoring programme, carried out under the surface water monitoring programme for the years 2020-2025 ("Strategic State Environmental Monitoring Programme for the years 2020-2025"), approved by the Competent Minister of Climate in 2020 and the surface water executive programme for a specific year of research approved annually by the Chief Inspector of Environmental Protection.
Monitoring programme of pelagic habitats – community characteristics includes the determination of the characteristics and variability of phytoplankton and zooplankton communities in PMA. Monitoring is carried out annually in 10 locations in accordance with the HELCOM guidelines. For the transitional and coastal waterbodies monitoring will be carried out for 19 monitoring points in 2020-2021 and 11 monitoring points in 2022-2025 in accordance with the WFD monitoring programme, carried out under the surface water monitoring programme for the years 2020-2025 ("Strategic State Environmental Monitoring Programme for the years 2020-2025"), approved by the Competent Minister of Climate in 2020 and the surface water executive programme for a specific year of research approved annually by the Chief Inspector of Environmental Protection.
In scope of phytoplankton blooms, data on frequency and extent of blooms collected within the monitoring programme of pelagic habitats – community characteristics will be supplemented with information on chlorophyll a concentration in the water column collected from 23 stations located in PMA. The frequency of measurements is 6 times a year except for high frequency station (ZP6) which should be sampled 12 times a year. Data on phytoplankton blooms and chlorophyll a concentration will be supplemented with available open source remote sensing products (from satellite systems). For the transitional and coastal waterbodies monitoring will be carried out for 19 monitoring points in 2020-2021 and 11 monitoring points in 2022-2025 in accordance with the WFD monitoring programme, carried out under the surface water monitoring programme for the years 2020-2025 ("Strategic State Environmental Monitoring Programme for the years 2020-2025"), approved by the Competent Minister of Climate in 2020 and the surface water executive programme for a specific year of research approved annually by the Chief Inspector of Environmental Protection.
In scope of phytoplankton blooms, data on frequency and extent of blooms collected within the monitoring programme of pelagic habitats – community characteristics will be supplemented with information on chlorophyll a concentration in the water column collected from 23 stations located in PMA. The frequency of measurements is 6 times a year except for high frequency station (ZP6) which should be sampled 12 times a year. Data on phytoplankton blooms and chlorophyll a concentration will be supplemented with available open source remote sensing products (from satellite systems). For the transitional and coastal waterbodies monitoring will be carried out for 19 monitoring points in 2020-2021 and 11 monitoring points in 2022-2025 in accordance with the WFD monitoring programme, carried out under the surface water monitoring programme for the years 2020-2025 ("Strategic State Environmental Monitoring Programme for the years 2020-2025"), approved by the Competent Minister of Climate in 2020 and the surface water executive programme for a specific year of research approved annually by the Chief Inspector of Environmental Protection.
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.
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
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.
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.
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.
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.
Monitoring purpose
  • Effectiveness of measures
  • Environmental state and impacts
  • Pressures in the marine environment
  • Effectiveness of measures
  • Environmental state and impacts
  • Pressures at source
  • Pressures in the marine environment
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  • Human activities causing the pressures
  • Pressures at source
  • Pressures in the marine environment
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  • Environmental state and impacts
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  • Pressures in the marine environment
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  • Human activities causing the pressures
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  • Human activities causing the pressures
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  • Human activities causing the pressures
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Other policies and conventions
  • Birds Directive
  • Data Collection Framework Multi-Annual Plan (Common Fisheries Policy)
  • HELCOM Monitoring programmes
  • Habitats Directive
  • OSPAR Coordinated Environmental Monitoring Programme
  • Water Framework Directive
  • HELCOM Monitoring programmes
  • OSPAR Coordinated Environmental Monitoring Programme
  • Bathing Water Directive
  • Birds Directive
  • Convention on Long-Range Transboundary Air Pollution
  • Data Collection Framework Multi-Annual Plan (Common Fisheries Policy)
  • Habitats Directive
  • IMO-BWM
  • Maritime Spatial Planning Directive
  • Minamata Convention on Mercury
  • Monitoring programme targeting at national legislation
  • National Emission Ceilings Directive
  • Nitrates Directive
  • Stockholm Convention on persistent organic pollutions (POPs)
  • Urban Waste Water Treatment Directive
  • Water Framework Directive
  • Birds Directive
  • Habitats Directive
  • Monitoring programme targeting at national legislation
  • Birds Directive
  • Habitats Directive
  • Monitoring programme targeting at national legislation
  • Data Collection Framework Multi-Annual Plan (Common Fisheries Policy)
  • Habitats Directive
  • Monitoring programme targeting at national legislation
  • Data Collection Framework Multi-Annual Plan (Common Fisheries Policy)
  • HELCOM Monitoring programmes
  • Monitoring programme targeting at national legislation
  • Water Framework Directive
  • HELCOM Monitoring programmes
  • Habitats Directive
  • Monitoring programme targeting at national legislation
  • Habitats Directive
  • Monitoring programme targeting at national legislation
  • Water Framework Directive
  • HELCOM Monitoring programmes
  • Monitoring programme targeting at national legislation
  • Water Framework Directive
  • HELCOM Monitoring programmes
  • Habitats Directive
  • HELCOM Monitoring programmes
  • Habitats Directive
  • Water Framework Directive
  • HELCOM Monitoring programmes
  • Habitats Directive
  • Water Framework Directive
  • Habitats Directive
  • Water Framework Directive
  • Birds Directive
  • HELCOM Monitoring programmes
  • Habitats Directive
  • AEWA
  • Birds Directive
  • HELCOM Monitoring programmes
  • Birds Directive
  • HELCOM Monitoring programmes
  • HELCOM Monitoring programmes
  • Habitats Directive
  • HELCOM Monitoring programmes
  • Convention on the Conservation of Migratory Species of Wild Animals (Bonn Convention)
  • HELCOM Monitoring programmes
  • Habitats Directive
  • HELCOM Monitoring programmes
  • HELCOM Monitoring programmes
  • Water Framework Directive
  • Data Collection Framework Multi-Annual Plan (Common Fisheries Policy)
  • HELCOM Monitoring programmes
  • Water Framework Directive
  • Data Collection Framework Multi-Annual Plan (Common Fisheries Policy)
  • HELCOM Monitoring programmes
  • HELCOM Monitoring programmes
  • Water Framework Directive
  • Birds Directive
  • Birds Directive
  • Data Collection Framework Multi-Annual Plan (Common Fisheries Policy)
  • HELCOM Monitoring programmes
  • Habitats Directive
  • HELCOM Monitoring programmes
  • Water Framework Directive
  • HELCOM Monitoring programmes
  • HELCOM Monitoring programmes
  • Water Framework Directive
  • HELCOM Monitoring programmes
  • HELCOM Monitoring programmes
  • Birds Directive
  • HELCOM Monitoring programmes
  • Birds Directive
  • HELCOM Monitoring programmes
  • Data Collection Framework Multi-Annual Plan (Common Fisheries Policy)
  • Water Framework Directive
  • Water Framework Directive
  • Water Framework Directive
  • Water Framework Directive
  • 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
  • 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
  • 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
  • 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
  • Water Framework Directive
  • HELCOM Monitoring programmes
  • Maritime Spatial Planning Directive
  • Monitoring programme targeting at national legislation
Regional cooperation - coordinating body
  • BARCON
  • OSPAR
  • Other
  • OSPAR
  • HELCOM
  • HELCOM
  • HELCOM
  • Other
  • HELCOM
  • HELCOM
  • HELCOM
  • HELCOM
  • HELCOM
  • Other
  • HELCOM
  • HELCOM
  • OSPAR
  • HELCOM
  • OSPAR
  • HELCOM
  • HELCOM
  • HELCOM
  • HELCOM
  • HELCOM
  • HELCOM
  • Other
  • HELCOM
  • Other
  • HELCOM
  • HELCOM
  • HELCOM
  • HELCOM
  • HELCOM
  • HELCOM
  • HELCOM
  • HELCOM
  • HELCOM
  • HELCOM
  • HELCOM
  • HELCOM
  • Other
  • HELCOM
  • HELCOM
  • HELCOM
  • HELCOM
  • HELCOM
  • OSPAR
  • HELCOM
  • Other
  • HELCOM
  • OSPAR
  • HELCOM
  • OSPAR
  • HELCOM
  • OSPAR
  • OSPAR
  • HELCOM
  • OSPAR
  • HELCOM
  • OSPAR
  • HELCOM
  • OSPAR
Regional cooperation - countries involved
  • DE
  • DK
  • EE
  • LT
  • LV
  • PL
  • SE
  • EE
  • SE
  • DE
  • DK
  • EE
  • LT
  • LV
  • PL
  • SE
  • DE
  • DK
  • EE
  • LT
  • LV
  • PL
  • SE
  • DE
  • DK
  • EE
  • LT
  • LV
  • PL
  • SE
  • SE
  • DE
  • DK
  • PL
  • SE
  • DE
  • DK
  • EE
  • LT
  • LV
  • PL
  • SE
  • DE
  • DK
  • EE
  • LT
  • LV
  • PL
  • SE
  • DE
  • DK
  • EE
  • LT
  • LV
  • SE
  • DE
  • DK
  • EE
  • FI
  • LT
  • LV
  • PL
  • SE
  • DK
  • FI
Regional cooperation - implementation level
Agreed data collection methods
Agreed data collection methods
Coordinated data collection
Coordinated data collection
Coordinated data collection
Agreed data collection methods
Coordinated data collection
Coordinated data collection
Coordinated data collection
Coordinated data collection
Coordinated data collection
Agreed data collection methods
Common monitoring strategy
Coordinated data collection
Agreed data collection methods
Common monitoring strategy
Coordinated data collection
Coordinated data collection
Agreed data collection methods
Coordinated data collection
Coordinated data collection
Agreed data collection methods
Agreed data collection methods
Coordinated data collection
Coordinated data collection
Coordinated data collection
Common monitoring strategy
Common monitoring strategy
Common monitoring strategy
Common monitoring strategy
Common monitoring strategy
Agreed data collection methods
Common monitoring strategy
Common monitoring strategy
Common monitoring strategy
Coordinated data collection
Agreed data collection methods
Agreed data collection methods
Agreed data collection methods
Agreed data collection methods
Agreed data collection methods
Common monitoring strategy
Common monitoring strategy
Common monitoring strategy
Common monitoring strategy
Coordinated data collection
Joint data collection
Coordinated data collection
Coordinated data collection
Coordinated data collection
Coordinated data collection
Agreed data collection methods
Coordinated data collection
Coordinated data collection
Coordinated data collection
Coordinated data collection
Monitoring details
Visual counting from land in defined sectors and flight counting in off-shore areas are conducted. The observation sector includes an easily demarcated stretch of coastline with the sea. 116 sectors have been selected for regular monitoring in the coastal area. As a rule, all coastal (<2 km) waterbirds are counted. Age is also fixed for swans. Several other parameters such as weather (wind strength, visibility, ice cover %) are also recorded during the observations. In order to count the wintering waterbirds in off-shore areas, the flights are conducted every 5 years covering the entire Estonian sea area. The number of birds by species per covered counting section during a certain period of time is fixed from counting transects with a defined width. The monitoring is being conducted in the Estonian marine area up to 50 m depth line. All species are counted during the monitoring and their abundance assessed.
Monitoring is carried out on selected small islands (island groups) and nesting sites of white-tailed eagle (on land up to 20 km from seashore). Breeding pairs, as well as a monitoring-year nest and/or pair or single bird, are used as counting units. All breeding species on the island are registered. The indexes for the assessment of the abundance trend by species are based on whole gathered data from small islands. For assessment of white-tailed eagle productivity their nesting sites are monitored and the number of occupied nests and fledglings are registered. The nests are usually being controlled in late May-early July. The productivity is counted as the mean number of fledglings per occupied nest. The monitoring on small islands is carried out every year on sites with continuous monitoring and where cormorant, Sandwich tern and Caspian tern colonies are monitored continuously. Other sites are monitored in rotation – at least once per 6-year period. The monitoring of white-tailed eagle nesting sites is done in rotation, and all nests are controlled at least once every 3 years. Breeding birds monitoring is mainly being conducted in frames of the national monitoring programme. Updated and detailed information on the monitoring plan according to the national monitoring programme is available at https://www.keskkonnaagentuur.ee/eesmargid-tegevused/keskkonnaseire/seireankeedid.
Data on all coastal fish species are being collected annually in discrete monitoring areas within the national fisheries data collection programme (https://www.envir.ee/et/eesmargid-tegevused/kalandus/kalanduse-riiklik-andmekoguminen-programm-akp).
For monitoring offshore fish species the hydro-acoustic surveys and scientific trawlings are carried out. In addition, ICES coordinated cruises (BIAS, BITS) are carried out and the data are submitted to the ICES database.
Phytoplankton samples are collected with a bathometer at water depths of 1, 5 and 10 m together with samples of seawater chlorophyll a. An integrated sample is made pooling equal amounts of water collected from fixed depths. When the integrated sample is thoroughly mixed, a portion is poured into a clear glass bottle and fixed with preservation chemical for further transport, storage and analysis of the phytoplankton sample. As part of the Ferrybox monitoring, samples are collected with an automatic sampler from depths of 4-5 m from a predefined location on the route of the liner. Phytoplankton is analysed according to the relevant international standard methods (EN 16695: 2015, HELCOM Monitoring Manual). In 3 coastal water bodies sampling is carried out annually 10-12 times per year (from April to October), Haapsalu coastal waterbody - 10-12 times every third year. Other coastal water bodies are monitored in rotation 6 times per year (from June to September) at least once during a 6-year period. In the off-shore areas the research vessel-based monitoring is conducted 5 times per year (from April to October) and 12 times every year in frames of Ferrybox monitoring.
The samples are collected by means of vertical hauls using a Juday or WP-2 net with 0,1 mm mesh size. The collected samples are preserved in a formaldehyde solution to microscopic analysis to be performed in a laboratory.
Macrozoobenthos samples are collected once a year in off-shore areas and designated coastal waters and in rotation at least once in a 6-year period from other coastal waters. Van Veen or Ekman type grab samplers are used for sampling. The sediment type, concentration of dissolved oxygen in the near-bottom layer, concentration of H2S, water temperature and salinity are registered as supplementary information at the sampling site. Every sample is collected in triplicate and frozen for laboratory analyse. In the laboratory, the species composition, abundance of species and dry weight of every species (per 1 m2) is determined. For observation of maximum depth distribution of Limecola balthica, three designated transects are monitored in the open-sea area; samples (one sample per each depth point) are taken in accordance with the transect depth gradient.
Chlorophyll-a concentration determination samples are collected from certain monitoring stations with a bathometer at depths of 1, 5 and 10 m (if maxima concentration is fixed in the water column, then from this depth also). An integrated sample is made pooling equal amounts of water collected from fixed depths. As part of the Ferrybox monitoring, samples for later laboratory Chl-a analysis are collected with an automatic sampler from depths of 4-5 m from a predefined location on the route of the liner and chlorophyll-a fluorescence is analysed. In addition, chlorophyll-a fluorescence measurements are done at buoy-stations and by sonar equipment with fluorometers. Surface layer pigment concentration monitoring is done with a remote method (satellite). Monitoring is conducted yearly or at least once in six years with a frequency of 6 to 12 times a year at the designated monitoring stations (at least 3 stations in each coastal water body and 18 in the Estonian off-shore areas).
Essential information describing this national sub-programme is available in the HELCOM COMBINE manual: http://www.helcom.fi/action-areas/monitoring-and-assessment/monitoring-manual/benthic-community-species-distribution-and-abundance/softbottom-fauna.
Monitoring is part of the EU Water Framework Directive monitoring of coastal waters. Ref: Mountain et al. (Sampling of soft benthic animals and sediment for VPD monitoring in coastal waters. In: Mountain et al. (ed.) organisation of biological monitoring and acquisition of analyses for river basin management areas. 35 reports from the Finnish Environment Institute, Annex 4. The method also followed essentially the HELCOM Combine: Https://www.helcom.fi/wp-content/uploads/2019/08/Manual-for-Marine-Monitoring-in-the-COMBINE-Programme-of-HELCOM_PartC_AnnexC8.pdf
No monitoring in Bothnian Bay since species monitored do not habitat that area
Diving transects and bathyscope
Rintala J. 2011. Development of Saaristolintu stocks in Finland from 1986 to 2010. — Live Yearbook 2010: 40-51
Methods for flight monitoring are agreed upon by Baltic sea countries on HELCOM (HELCOM 2015). Coastal monitoring is carried out by onshore observers. Offshore monitoring is carried out by boat and airplane.
https://helcom.fi/wp-content/uploads/2019/12/Birds-Marine-bird-health.pdf
FINLAND: https://www.luke.fi/tietoa-luonnonvaroista/riista/hylkeet/hylkeiden-kanta-arvioinnin-menetelmat/. HELCOM: http://www.helcom.fi/action-areas/monitoring-and-assessment/monitoring-manual/mammals/seals-abundance
FINLAND: https://www.luke.fi/tietoa-luonnonvaroista/riista/hylkeet/hylkeiden-kanta-arvioinnin-menetelmat/ HELCOM: http://www.helcom.fi/action-areas/monitoring-and-assessment/monitoring-manual/mammals/health-status.
Acoustic monitoring and sightings by citizens. Citizen sightings were coherently collected since 2001, pilot monitoring was started in 2011-2013 and the national monitoring started in 2016.
Program follows HELCOM Combine - https://helcom.fi/media/publications/Guidelines-for-monitoring-of-mesozooplankton.pdf
Samples are taken onboard research vessels under the coastal monitoring (part of EU WFD) and offshore monitoring.
Fishermens’ reporting to authorities.
The sub-programme collects data on mass deaths of seabirds. Information can be obtained from different clubs and other sources of information, in particular public and amateur observations. The aim is to identify the number of mass deaths of seabirds and to identify the causes of death. This is, as a general rule, “passive” monitoring, i.e. information obtained through other activities and monitoring.
Zooplanktono mėginiai imami ir analizuojami remiantis HELCOM metodika, tinklu WP-2 (tinklo viršutinis skersmuo 0,255 m2, akučių diametras 100 µm. Mėginiai fiksuojami 4 proc. formaldehido tirpalu. Mėginiai analizuojami mikroskopijos metodu.
Jūros vandens mėginiai imami pagal LST ISO 5667-9:2009, išskyrus 5.1.1 p.; HELCOM tyrimų metodiką. Vandens mėginiai fitoplanktono tyrimams imami plastikiniu batometru, integruotu batometru (0-10 m.), fiksuojami Lugolio tirpalu. Fitoplanktono taksonominės sudėties ir gausumo tyrimai paviršiniame, jūros vandenyje vykdomi pagal HELCOM COMBINE, LST EN 15204:2007, išskyrus 6.3.1 p. LST EN 15972:2011, 7.2.1, 7.2.2, 7.4, 7.5, 7.6, 7.7, 7.8 p. Mėginiai analizuojami atvirkštinės mikroskopijos metodu.
Observations are made at fixed stations, the coordinates of which have been determined in advance. Values of the parameters are measured on certain depths. Frequency of sampling - up to 9 times per year. Core indicator Zooplankton mean size and total stock (MSTS) is used. In the calculations only holoplankton organisms which are not predators are used (meroplankton and predators such as Cladocera species are excluded). MSTS indicator is used for the summer season since it directly describe the feeding conditions for herring, as well as the ability to control primary production.
Observations are made at fixed stations, the coordinates of which have been determined in advance. Values of the parameters are measured on certain depths. Frequency of sampling - up to 9 times per year. Samples are collected with standard net construction with opening 57 cm and mesh size 100 microns. Species composition and biomass is determined according to the HELCOM recommendations in COMBINE manual in Guidelines for monitoring of mesozooplankton. The method is suitable for qualitative (species composition) and quantitative (biomass) detection of zooplankton organisms in nature water samples. Core indicator Zooplankton mean size and total stock (MSTS) is used. In the calculations only holoplankton organisms which are not predators are used (meroplankton and predators such as Cladocera species are excluded). MSTS indicator is used for the summer season since it directly describe the feeding conditions for herring, as well as the ability to control primary production.
Macrozoobenthos data is collected once a year, macrophytes 2 times a year (June, September).
Macrozoobenthos data is collected once a year, macrophytes 2 times a year (June, September).
Macrozoobenthos data is collected once a year, macrophytes 2 times a year (June, September).
Macrozoobenthos data is collected once a year, macrophytes 2 times a year (June, September).
1) Offshore Wintering Marine Birds Survey. Offshore survey dedicated to wintering waterbirds on Baltic open marine waters. 56 line transects. One field visit each year in January. Two observers on two sides of the ship counting all birds using distance sampling and snapshot methodology. 2) Transitional Waters Wintering Waterbird Survey. Mid-January count of all birds occurring in 31 sites covering transitional waters. The study takes place using the generally accepted methodology recommended by Wetland International during the International Waterbird Census. Most of the area is counted from the shore - the observer counts the birds seen along the designated section. Large water bodies such as coastal lagoons are counted using an aircraft, a drone, or a boat.
Census 3 species Sterna sandvicensis, Phalacrocorax carbo and Calidris alpina in coastal zone. Sterna sandvicensis, Phalacrocorax carbo: all nests are counted in active breeding colonies. Calidris alpina: extincted in Poland, but during the fieldwork observers search for birds in historic breeding sites. Four new species have been added to the monitoring program since 2020: Ringed Plover, Little Tern, Oysterctcher and Shelduck. The methodology consists in monitoring known species siteds and determining number of pairs based on the highest established breeding category.
24 months of continuous monitoring every 6 years (since the beginning of previous monitoring) or 12 months of continuous monitoring twice in the 6-year period. In addition, the occurrence of young individuals will be included in the monitoring in future in line with the SAMBAH II project, which will estimate not only the density but also the number of individuals.
Aerial observations during the breeding season (February-March) and during the moulting period (May-June), in the identified haul-out sites of this species will be carried out using unmanned aircraft equipped with a high-resolution video camera or camera, allowing for determination of the species composition of the group and number of individuals resting on sandbanks and surrounding waters. The flight should take place at a distance (about 150 m from each of the islands or sandbanks) at a ceiling of about 100 – 150 m from the resting place. It is recommended to avoid direct flights over the occupied haul-out sites in order to prevent disturbance of animals. Photos should be taken while hovering. The number of flights is determined by the current conditions and the research permits obtained, but it is recommended to perform no more than two flights during one day of monitoring. During the flights, individuals of the other two seal species occurring on the Polish coast will be identified and counted, i.e. rare harbour seal and occasionally occurring ringed seal.
Aerial observations during moulting season (August) will be performed along the entire Polish coast, including the flight over Ryf Mew, over the sandbanks in the Vistula River mouth in the Mewia Łacha Reserve and over the jetties of the Vistula river mouth. Observations and photographic documentation will be performed from the deck of an aircraft, that will fly over the entire location (Polish coast with the abovementioned Ryf Mew, sandbanks and jetties of the Vistula river mouth) during one day. Flight standards will be consistent with the flight guideline and the decisions and permits issued by the competent institutions and offices. Ground observations will be performed at sites where no permit for monitoring and observations from the aircraft is obtained. Both during the flights and ground observations, all observed individuals of seals will be recorded. Individuals of harbour, grey and ringed seals will be recorded and photographed. The number of juveniles and adults will be recorded. Observations of the habitat status will be made in order to perform the assessment of the species in accordance with the Habitats Directive.
Data collected 5 times a year in deep and shallow water zones. One high frequency station sampled 12 times a year.
Data collected 5 times a year in deep and shallow water zones. One high frequency station sampled 12 times a year.
Grazing birds
  • Anas platyrhynchos
  • Cygnus columbianus
  • Cygnus cygnus
  • Cygnus olor
  • Fulica atra
  • D1C2
  • D1C3
  • D1C4
  • Abundance (number of individuals)
  • Age distribution
  • Distribution (pattern)
  • Distribution (range)
  • Distribution (spatial)
  • Anser anser
  • Branta leucopsis
  • Cygnus olor
  • Fulica atra
  • D1C2
  • D1C3
  • D1C4
  • Abundance (number of individuals)
  • Breeding success
  • Distribution (pattern)
  • Distribution (range)
  • Anser anser
  • Branta leucopsis
  • Cygnus olor
  • D1C1
  • D1C2
  • D1C4
  • Mortality (weight/volume; number of individuals)
  • Abundance (number of individuals)
  • Distribution (range)
  • Anas platyrhynchos
  • Cygnus olor
  • D1C2
  • D1C4
  • Abundance (number of individuals)
  • Distribution (range)
  • Anas acuta
  • Anas clypeata
  • Anas crecca
  • Anas penelope
  • Anas platyrhynchos
  • Anser anser
  • Branta canadensis
  • Fulica atra
  • NotRelevan
  • Mortality (weight/volume; number of individuals)
  • Anas acuta
  • Anas clypeata
  • Anas crecca
  • Anas penelope
  • Anas platyrhynchos
  • Anas strepera
  • Anser albifrons
  • Anser anser
  • Branta leucopsis
  • Cygnus columbianus
  • Cygnus cygnus
  • Cygnus olor
  • Fulica atra
  • D1C2
  • Abundance (number of individuals)
  • Anas acuta
  • Anas clypeata
  • Anas crecca
  • Anas penelope
  • Anas platyrhynchos
  • Anas strepera
  • Anser anser
  • Branta canadensis
  • Branta leucopsis
  • Cygnus cygnus
  • Cygnus olor
  • Fulica atra
  • D1C2
  • D1C3
  • D1C4
  • Abundance (number of individuals)
  • Age distribution
  • Distribution (range)
Wading birds
  • Arenaria interpres
  • Calidris alpina
  • Charadrius hiaticula
  • Haematopus ostralegus
  • Recurvirostra avosetta
  • Tadorna tadorna
  • D1C2
  • D1C3
  • D1C4
  • Abundance (number of individuals)
  • Breeding success
  • Distribution (pattern)
  • Distribution (range)
  • Arenaria interpres
  • Calidris alpina
  • Charadrius hiaticula
  • Haematopus ostralegus
  • Larus fuscus
  • Tadorna tadorna
  • D1C2
  • D1C4
  • Abundance (number of individuals)
  • Distribution (range)
  • Ardea alba
  • Ardea cinerea
  • Larus argentatus
  • Larus canus
  • Larus ridibundus
  • D1C2
  • Abundance (number of individuals)
  • Calidris alpina
  • Charadrius hiaticula
  • Haematopus ostralegus
  • Tadorna tadorna
  • D1C2
  • D1C4
  • Abundance (number of individuals)
  • Distribution (spatial)
  • 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
  • D1C2
  • D1C3
  • D1C4
  • Abundance (number of individuals)
  • Age distribution
  • Distribution (range)
Surface-feeding birds
  • Hydrocoloeus minutus
  • Larus argentatus
  • Larus canus
  • Larus marinus
  • Larus ridibundus
  • D1C2
  • D1C3
  • D1C4
  • Abundance (number of individuals)
  • Age distribution
  • Distribution (pattern)
  • Distribution (range)
  • Distribution (spatial)
  • Haliaeetus albicilla
  • Hydrocoloeus minutus
  • Hydroprogne caspia
  • Larus argentatus
  • Larus canus
  • Larus fuscus graellsii
  • Larus fuscus intermedius
  • Larus marinus
  • Larus ridibundus
  • Sterna albifrons
  • Sterna hirundo
  • Sterna paradisaea
  • Sterna sandvicensis
  • D1C2
  • D1C3
  • D1C4
  • Abundance (number of individuals)
  • Breeding success
  • Brood size
  • Distribution (pattern)
  • Distribution (range)
  • Hydroprogne caspia
  • Larus argentatus
  • Larus canus
  • Larus marinus
  • Stercorarius parasiticus
  • Sterna hirundo
  • Sterna paradisaea
  • Sterna sandvicensis
  • Sternula albifrons
  • D1C2
  • D1C4
  • Abundance (number of individuals)
  • Distribution (range)
  • Larus argentatus
  • Larus canus
  • Larus marinus
  • Larus ridibundus
  • D1C2
  • D1C4
  • Abundance (number of individuals)
  • Distribution (range)
  • Haliaeetus albicilla
  • D1C3
  • Breeding success
  • Brood size
  • Survival rate
  • Surface-feeding birds (grouped)
  • D1C1
  • Mortality (weight/volume; number of individuals)
  • Sterna paradisaea
  • D1C3
  • Other
  • Mortality
  • Haliaeetus albicilla
  • Larus argentatus
  • Larus canus
  • Larus marinus
  • Larus ridibundus
  • D1C2
  • Abundance (number of individuals)
  • Sterna sandvicensis
  • Sternula albifrons
  • D1C2
  • D1C4
  • Abundance (number of individuals)
  • Distribution (spatial)
  • Haliaeetus albicilla
  • Hydrocoloeus minutus
  • Hydroprogne caspia
  • Larus marinus
  • Larus ridibundus
  • Pandion haliaetus
  • Stercorarius parasiticus
  • Sterna albifrons
  • Sterna hirundo
  • Sterna paradisaea
  • Sterna sandvicensis
  • D1C2
  • D1C3
  • D1C4
  • Abundance (number of individuals)
  • Age distribution
  • Distribution (range)
Pelagic-feeding birds
  • Alca torda
  • Gavia arctica
  • Gavia stellata
  • Mergellus albellus
  • Mergus merganser
  • Mergus serrator
  • Phalacrocorax carbo
  • Podiceps cristatus
  • D1C2
  • D1C3
  • D1C4
  • Abundance (number of individuals)
  • Age distribution
  • Distribution (pattern)
  • Distribution (range)
  • Distribution (spatial)
  • Mergus merganser
  • Mergus serrator
  • Phalacrocorax carbo
  • Podiceps cristatus
  • D1C2
  • D1C3
  • D1C4
  • Abundance (number of individuals)
  • Breeding success
  • Distribution (pattern)
  • Distribution (range)
  • Alca torda
  • Cepphus grylle
  • Mergus merganser
  • Mergus serrator
  • Phalacrocorax carbo
  • Podiceps cristatus
  • Uria aalge
  • D1C2
  • D1C4
  • Abundance (number of individuals)
  • Distribution (range)
  • Cepphus grylle
  • Mergellus albellus
  • Mergus merganser
  • Mergus serrator
  • Phalacrocorax carbo
  • D1C2
  • D1C4
  • Abundance (number of individuals)
  • Distribution (range)
  • Pelagic-feeding birds (grouped)
  • D1C1
  • Mortality (weight/volume; number of individuals)
  • Alca torda
  • Uria aalge
  • D1C3
  • Other
  • Mortality
  • Mergus merganser
  • Mergus serrator
  • NotRelevan
  • Mortality (weight/volume; number of individuals)
  • Alca torda
  • Cepphus grylle
  • Gavia arctica
  • Gavia spp.
  • Gavia stellata
  • Mergellus albellus
  • Mergus merganser
  • Mergus serrator
  • Phalacrocorax carbo
  • Podiceps auritus
  • Podiceps cristatus
  • Podiceps grisegena
  • D1C2
  • Abundance (number of individuals)
  • Phalacrocorax carbo
  • D1C2
  • D1C4
  • Abundance (number of individuals)
  • Distribution (spatial)
  • 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
  • D1C2
  • D1C3
  • D1C4
  • Abundance (number of individuals)
  • Age distribution
  • Distribution (range)
Benthic-feeding birds
  • Aythya fuligula
  • Aythya marila
  • Bucephala clangula
  • Clangula hyemalis
  • Melanitta fusca
  • Melanitta nigra
  • Polysticta stelleri
  • Somateria mollissima
  • D1C2
  • D1C3
  • D1C4
  • Abundance (number of individuals)
  • Age distribution
  • Distribution (pattern)
  • Distribution (range)
  • Distribution (spatial)
  • Aythya ferina
  • Aythya fuligula
  • Melanitta fusca
  • Somateria mollissima
  • D1C2
  • D1C3
  • D1C4
  • Abundance (number of individuals)
  • Breeding success
  • Distribution (pattern)
  • Distribution (range)
  • Aythya fuligula
  • Aythya marila
  • Melanitta fusca
  • Somateria mollissima
  • D1C2
  • D1C4
  • Abundance (number of individuals)
  • Distribution (range)
  • Aythya fuligula
  • Bucephala clangula
  • Clangula hyemalis
  • Melanitta fusca
  • D1C2
  • D1C4
  • Abundance (number of individuals)
  • Distribution (range)
  • Benthic-feeding birds (grouped)
  • D1C1
  • Mortality (weight/volume; number of individuals)
  • Aythya ferina
  • Aythya fuligula
  • Bucephala clangula
  • Clangula hyemalis
  • Somateria mollissima
  • NotRelevan
  • Mortality (weight/volume; number of individuals)
  • Aythya ferina
  • Aythya fuligula
  • Aythya marila
  • Bucephala clangula
  • Clangula hyemalis
  • Melanitta fusca
  • Melanitta nigra
  • Melanitta spp.
  • Somateria mollissima
  • D1C2
  • Abundance (number of individuals)
  • Aythya ferina
  • Aythya fuligula
  • Aythya marila
  • Bucephala clangula
  • Clangula hyemalis
  • Melanitta fusca
  • Melanitta nigra
  • Somateria mollissima
  • D1C2
  • D1C3
  • D1C4
  • Abundance (number of individuals)
  • Age distribution
  • Distribution (range)
Small toothed cetaceans
  • Phocoena phocoena
  • D1C2
  • D1C4
  • Abundance (number of individuals)
  • Distribution (range)
  • Phocoena phocoena
  • D1C1
  • Mortality (weight/volume; number of individuals)
  • Phocoena phocoena
  • D1C2
  • Abundance (number of individuals)
  • Other
  • Density
  • Phocoena phocoena
  • D1C3
  • Age distribution
  • Fecundity (breeding rate)
  • Length
  • Other
  • Mass Cause of death Blubber thickness Sexual matu
Seals
  • Halichoerus grypus
  • Pusa hispida
  • D1C2
  • D1C4
  • Abundance (number of individuals)
  • Distribution (range)
  • Halichoerus grypus
  • Pusa hispida
  • D1C3
  • Fecundity (breeding rate)
  • Blubber thickness
  • Halichoerus grypus
  • Pusa hispida
  • D1C1
  • Mortality (weight/volume; number of individuals)
  • Halichoerus grypus
  • Pusa hispida
  • NotRelevan
  • Mortality (weight/volume; number of individuals)
  • Halichoerus grypus
  • D1C2
  • D1C3
  • D1C4
  • Abundance (number of individuals)
  • Breeding success
  • Distribution (spatial)
  • Reproduction
  • abundance and biomass
  • Phoca vitulina
  • D1C2
  • D1C3
  • D1C4
  • Abundance (number of individuals)
  • Breeding success
  • Distribution (spatial)
  • Reproduction
  • abundance and biomass
  • Halichoerus grypus
  • Phoca vitulina
  • Pusa hispida
  • D1C2
  • D1C4
  • Abundance (number of individuals)
  • Other
  • Distribution (range)
  • Population growth rate (in %)
  • Halichoerus grypus
  • Phoca vitulina
  • Pusa hispida
  • D1C3
  • Age distribution
  • Fecundity (breeding rate)
  • Length
  • Other
  • Mass Blubber thickness Cause of death Presence of
Coastal fish
  • Abramis brama
  • Alburnus alburnus
  • Alosa fallax
  • Ammodytes tobianus
  • Anguilla anguilla
  • Blicca bjoerkna
  • Carassius carassius
  • Carassius gibelio
  • Cobitis taenia
  • Coregonus maraena
  • Coregonus widegreni
  • Cyprinus carpio
  • Esox lucius
  • Gadus morhua
  • Gobio gobio
  • Gobius niger
  • Gymnocephalus cernua
  • Hyperoplus lanceolatus
  • Lampetra fluviatilis
  • Leuciscus aspius
  • Leuciscus idus
  • Leuciscus leuciscus
  • Lota lota
  • Neogobius melanostomus
  • Osmerus eperlanus
  • Platichthys flesus
  • Platichthys solemdali
  • Rutilus rutilus
  • Sander lucioperca
  • Scardinius erythrophthalmus
  • Scophthalmus maximus [Psetta maxima]
  • Squalius cephalus
  • Tinca tinca
  • Vimba vimba
  • Zoarces viviparus
  • D1C2
  • D1C3
  • D1C4
  • Abundance (number of individuals)
  • Other
  • Biomass
  • Age distribution
  • Length
  • Sex distribution
  • Distribution (spatial)
  • Abundance index of European eel in monitoring catc
  • Mass (catch mass per unit effort)
  • Mass (catch weight per unit effort)
  • Fish community
  • Platichthys flesus
  • D1C2
  • D1C4
  • Abundance (number of individuals)
  • Distribution (pattern)
  • Distribution (range)
  • Platichthys flesus
  • D1C2
  • Abundance (number of individuals)
  • Platichthys flesus
  • D1C2
  • Abundance (number of individuals)
  • 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
  • D1C2
  • D1C3
  • D1C4
  • Abundance (number of individuals)
  • Biomass
  • Age distribution
  • Other
  • Sex distribution
  • Distribution (range)
  • Distribution (spatial)
  • Developmental state of gonads Presence of parasite
Pelagic shelf fish
  • Belone belone
  • Clupea harengus
  • Coregonus albula
  • Coregonus lavaretus
  • Cyclopterus lumpus
  • Pelecus cultratus
  • Salmo salar
  • Salmo trutta trutta
  • Sprattus sprattus
  • D1C2
  • D1C3
  • D1C4
  • Abundance (number of individuals)
  • Other
  • Age distribution
  • Length
  • Sex distribution
  • Distribution (spatial)
  • Mass (catch mass per unit effort)
  • Mass (catch weight per unit effort)
  • Clupea harengus
  • Sprattus sprattus
  • D1C1
  • D1C2
  • D1C3
  • Mortality rate
  • Abundance (number of individuals)
  • Biomass
  • Age distribution
  • Salmo trutta trutta
  • D1C2
  • Other
  • Number of spawning individuals; Number of smolts
  • Clupea harengus
  • Cyclopterus lumpus
  • Dicentrarchus labrax
  • Scomber scombrus
  • Sprattus sprattus
  • Squalus acanthias
  • D1C2
  • D1C3
  • D1C4
  • Abundance (number of individuals)
  • Biomass
  • Age distribution
  • Length
  • Other
  • Sex distribution
  • Distribution (range)
  • Mass Size distribution Developmental state of gona
Demersal shelf fish
  • Cottus gobio
  • Myoxocephalus quadricornis
  • Myoxocephalus scorpius
  • Perca fluviatilis
  • Taurulus bubalis
  • D1C2
  • D1C3
  • D1C4
  • Abundance (number of individuals)
  • Other
  • Biomass
  • Age distribution
  • Length
  • Sex distribution
  • Distribution (spatial)
  • Mass (catch mass per unit effort)
  • Mass (catch weight per unit effort)
  • Gadus morhua
  • Merlangius merlangus
  • Platichthys flesus
  • Pleuronectes platessa
  • D1C3
  • Length
  • Other
  • biomass
  • Gadus morhua
  • Platichthys flesus
  • Pleuronectes platessa
  • D1C3
  • Biomass
  • Length
  • 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
  • D1C2
  • D1C3
  • D1C4
  • Abundance (number of individuals)
  • Biomass
  • Age distribution
  • Length
  • Other
  • Sex distribution
  • Distribution (range)
  • Mass Size distribution Developmental state of gona
Commercially exploited fish and shellfish
  • Clupea harengus
  • Perca fluviatilis
  • Platichthys flesus
  • Platichthys solemdali
  • Salmo salar
  • Sander lucioperca
  • D3C1
  • D3C2
  • D3C3
  • Mortality rate
  • Other
  • Abundance (number of individuals)
  • Biomass of Spawning Stock (SSB)
  • Length
  • Age distribution
  • Age distribution; Sex distribution
  • Mass (commercial catch weight per unit effort)
  • Ratio between annual commercial catch and biomass
  • Sex distribution; Age distribution
  • Clupea harengus
  • Sprattus sprattus
  • D3C1
  • D3C2
  • D3C3
  • Mortality rate
  • Abundance (number of individuals)
  • Biomass of Spawning Stock (SSB)
  • Other
  • Age distribution
  • Anguilla anguilla
  • Clupea harengus
  • Coregonus lavaretus
  • Gadus morhua
  • Perca fluviatilis
  • Salmo salar
  • Sander lucioperca
  • Sprattus sprattus
  • D3C1
  • D3C2
  • D3C3
  • Mortality (weight/volume; number of individuals)
  • Abundance (number of individuals)
  • Other
  • Length
  • Size distribution
  • Age
  • Number of spawning individuals; Number of smolts
  • age
  • Esox spp.
  • Perca fluviatilis
  • Sander lucioperca
  • D3C1
  • D3C2
  • D3C3
  • Mortality (weight/volume; number of individuals)
  • Biomass of Spawning Stock (SSB)
  • Size distribution
  • age
  • Clupea harengus
  • Gadus morhua
  • Platichthys flesus
  • Sprattus sprattus
  • D3C1
  • D3C2
  • D3C3
  • Mortality rate
  • Other
  • Biomass of Spawning Stock (SSB)
  • Length
  • Size distribution
  • catches divided by stock size index
  • stock size index from survey
  • Perca fluviatilis
  • Platichthys flesus
  • NotRelevan
  • Abundance (number of individuals)
  • Age distribution
  • Size distribution
  • Species composition
  • Perca fluviatilis
  • Platichthys flesus
  • NotRelevan
  • Abundance (number of individuals)
  • Age distribution
  • Size distribution
  • Species composition
  • Perca fluviatilis
  • Platichthys flesus
  • NotRelevan
  • Abundance (number of individuals)
  • Perca fluviatilis
  • Platichthys flesus
  • NotRelevan
  • Abundance (number of individuals)
  • Clupea harengus
  • Gadus morhua
  • Platichthys flesus
  • Sprattus sprattus
  • D3C1
  • D3C2
  • D3C3
  • Mortality rate
  • Other
  • Biomass of Spawning Stock (SSB)
  • Length
  • Size distribution
  • catches divided by stock size index
  • stock size index from survey
  • 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
  • D3C2
  • D3C3
  • Abundance (number of individuals)
  • Biomass of Spawning Stock (SSB)
  • Length
  • Other
  • Size distribution
  • Mass
  • 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
  • D3C1
  • D3C2
  • D3C3
  • Mortality (weight/volume; number of individuals)
  • Abundance (number of individuals)
  • Biomass of Spawning Stock (SSB)
  • Length
  • Size distribution
  • Nephrops norvegicus
  • D3C2
  • D3C3
  • Abundance (number of individuals)
  • Other
  • Size distribution
  • Age distribution Sex distribution
Benthic broad habitats
  • Benthic habitats
  • Circalittoral coarse sediment
  • Circalittoral mixed sediment
  • Circalittoral mud
  • Circalittoral rock and biogenic reef
  • Circalittoral sand
  • Infralittoral coarse sediment
  • Infralittoral mixed sediment
  • Infralittoral mud
  • Infralittoral rock and biogenic reef
  • Infralittoral sand
  • D6C4
  • D6C5
  • Extent
  • Other
  • Species composition; Abundance; Biomass
  • Circalittoral mixed sediment
  • Circalittoral mud
  • Circalittoral sand
  • Offshore circalittoral mixed sediment
  • Offshore circalittoral mud
  • Offshore circalittoral sand
  • D6C5
  • Other
  • Species richness; abundance; biomass; length
  • Circalittoral mixed sediment
  • Circalittoral mud
  • Circalittoral sand
  • Infralittoral mixed sediment
  • Infralittoral mud
  • Infralittoral sand
  • D6C5
  • D7C2
  • Other
  • Species richness; Abundance; Biomass
  • Circalittoral rock and biogenic reef
  • Infralittoral rock and biogenic reef
  • D6C5
  • Extent
  • Other
  • Diversity of macrofauna on fucus; Macroalgae cover
  • Maximum depth limit and coverage of Mytilus trossu
  • Infralittoral mixed sediment
  • Infralittoral mud
  • Infralittoral sand
  • D6C5
  • Extent
  • Other
  • Species richness
  • Benthic habitats
  • D6C5
  • Other
  • Species composition, abundance/coverage and biomas
  • Benthic habitats
  • D6C5
  • Other
  • Species composition, abundance/coverage and biomas
  • Benthic habitats
  • D6C5
  • NotRelevan
  • Other
  • Abundance (number of individuals)
  • Biomass
  • Species composition
  • Species composition, abundance/coverage and biomas
  • Benthic habitats
  • D6C5
  • NotRelevan
  • Other
  • Abundance (number of individuals)
  • Biomass
  • Species composition
  • Species composition, abundance/coverage and biomas
  • Circalittoral mud
  • Offshore circalittoral mud
  • D6C5
  • Extent
  • Other
  • Abundance (number of individuals) Size distributio
  • Infralittoral coarse sediment
  • Infralittoral mud
  • Infralittoral rock and biogenic reef
  • Infralittoral sand
  • D6C5
  • Extent
  • Other
  • Species composition Abundance (number of individua
  • Infralittoral coarse sediment
  • Infralittoral mud
  • Infralittoral rock and biogenic reef
  • Infralittoral sand
  • D6C3
  • D6C4
  • D6C5
  • D7C2
  • Extent
  • Other
  • Distribution (pattern) Distribution (range) Distri
  • Extent Distribution (pattern) Distribution (range)
  • Relative abundance within community (of pelagic an
  • Circalittoral coarse sediment
  • Circalittoral mud
  • Circalittoral sand
  • Infralittoral coarse sediment
  • Infralittoral mud
  • Infralittoral sand
  • Offshore circalittoral coarse sediment
  • Offshore circalittoral mud
  • Offshore circalittoral sand
  • D6C5
  • Extent
  • Other
  • Abundance (number of individuals) Biomass Species
Other benthic habitats
  • Reefs
  • Sandbanks which are slightly covered by seawater all the time
  • D6C3
  • D6C4
  • D6C5
  • D7C2
  • Extent
  • Other
  • Distribution (pattern) Distribution (range) Distri
  • Extent Distribution (pattern) Distribution (range)
  • Relative abundance within community (of pelagic an
Pelagic broad habitats
  • Coastal pelagic habitat
  • Shelf pelagic habitat
  • D1C6
  • Other
  • Size distribution
  • Biomass; Abundance
  • Coastal pelagic habitat
  • Shelf pelagic habitat
  • D1C6
  • Other
  • Abundance; Species richness
  • Coastal pelagic habitat
  • Shelf pelagic habitat
  • NotRelevan
  • Abundance (number of individuals)
  • Biomass
  • Species composition
  • Coastal pelagic habitat
  • Shelf pelagic habitat
  • Variable salinity pelagic habitat
  • D1C6
  • Extent
  • Other
  • Primary production
  • Species composition Cell counts Biomass Productivi
Coastal ecosystems
  • Apex predators
  • Deposit-feeders
  • Filter-feeders
  • Fish community
  • Primary producers
  • Secondary producers
  • D4C1
  • D4C2
  • D4C3
  • D4C4
  • Other
  • Abundance (number of individuals)
  • Biomass
  • Size distribution
  • Productivity
  • Number of species
  • Apex predators
  • Deposit-feeders
  • Filter-feeders
  • Fish community
  • Planktivores
  • Primary producers
  • Secondary producers
  • D4C1
  • D4C2
  • D4C3
  • D4C4
  • Other
  • Abundance (number of individuals)
  • Biomass
  • Size distribution
  • Productivity
  • Number of species
  • Apex predators
  • D4C1
  • D4C2
  • D4C4
  • Other
  • Abundance (number of individuals)
  • Breeding success
  • Distribution (pattern); Distribution (range)
  • Species composition
  • Fish community
  • D4C1
  • D4C2
  • Other
  • Abundance (number of individuals)
  • Abundance of coastal fish key functional groups (C
  • Species composition; Trophic level class of fish s
  • Primary producers
  • D4C1
  • D4C2
  • Other
  • Abundance (number of individuals)
  • Biomass
  • Species composition
  • All trophic guilds
  • Secondary producers
  • D4C1
  • D4C2
  • Other
  • Abundance (number of individuals)
  • Biomass
  • Species composition
  • Deposit-feeders
  • Sub-apex demersal predators
  • D4C1
  • D4C2
  • Other
  • Abundance (number of individuals)
  • Biomass
  • Extent
  • Species composition
  • Primary producers
  • D4C2
  • Other
  • Concentration in water
  • Fish community
  • D4C1
  • D4C2
  • Other
  • Abundance (number of individuals)
  • Abundance of Cyprinidae
  • Fish community
  • D4C2
  • D4C3
  • Abundance (number of individuals)
  • Size distribution
  • Planktivores
  • D4C3
  • Size distribution
  • Primary producers
  • D4C1
  • Other
  • biomasė ir gausumas
  • Fish community
  • D4C1
  • D4C2
  • D4C3
  • Other
  • Abundance (number of individuals)
  • Biomass
  • Size distribution
  • Species composition
  • Sub-apex demersal predators
  • D4C2
  • D4C3
  • Abundance (number of individuals)
  • Other
  • Size distribution
  • Age distribution Sex distribution
  • Apex predators
  • Secondary producers
  • D4C1
  • D4C2
  • D4C3
  • Other
  • Abundance (number of individuals)
  • Abundance (number of individuals) Species composit
  • Species composition
  • Apex predators
  • D4C1
  • D4C2
  • Other
  • Abundance (number of individuals)
  • Abundance (number of individuals) Distribution (ra
  • Population growth rate (in %)
  • Planktivores
  • Secondary producers
  • Sub-apex pelagic predators
  • D4C2
  • Abundance (number of individuals)
  • Biomass
  • Filter-feeders
  • Primary producers
  • D4C1
  • D4C2
  • Other
  • Abundance (number of individuals)
  • Biomass
  • Species composition
  • Primary producers
  • D4C1
  • D4C2
  • D4C4
  • Other
  • Abundance (number of individuals)
  • Biomass
  • Primary production
  • Productivity
  • Cell counts
  • Species composition
  • Filter-feeders
  • Primary producers
  • D4C1
  • D4C2
  • Other
  • Relative abundance within community (of pelagic an
  • Apex predators
  • D4C4
  • Other
  • Fecundity (breeding rate)
  • Deposit-feeders
  • Filter-feeders
  • Planktivores
  • Secondary producers
  • Sub-apex demersal predators
  • D4C1
  • D4C2
  • Other
  • Abundance (number of individuals)
  • Biomass
  • Species composition
  • Apex predators
  • D4C4
  • Other
  • Productivity
  • Breeding success Brood size
Shelf ecosystems
  • Apex predators
  • Deposit-feeders
  • Filter-feeders
  • Fish community
  • Planktivores
  • Primary producers
  • Secondary producers
  • D4C1
  • D4C2
  • D4C3
  • D4C4
  • Other
  • Abundance (number of individuals)
  • Biomass
  • Size distribution
  • Primary production
  • Productivity
  • Number of species
  • Apex predators
  • Deposit-feeders
  • Filter-feeders
  • Fish community
  • Planktivores
  • Primary producers
  • Secondary producers
  • D4C1
  • D4C2
  • D4C3
  • D4C4
  • Other
  • Abundance (number of individuals)
  • Biomass
  • Size distribution
  • Productivity
  • Number of species
  • Deposit-feeders
  • Filter-feeders
  • D4C2
  • D4C3
  • Abundance (number of individuals)
  • Biomass
  • Size distribution
  • Deposit-feeders
  • Filter-feeders
  • Secondary producers
  • D4C1
  • D4C2
  • Other
  • Abundance (number of individuals)
  • Biomass
  • Number of species
  • Secondary producers
  • D4C1
  • D4C2
  • D4C3
  • Other
  • Abundance (number of individuals)
  • Biomass
  • Size distribution
  • Diversity
  • Primary producers
  • D4C1
  • D4C2
  • Other
  • Biomass
  • Species richness; Diversity
  • Primary producers
  • D4C2
  • D4C4
  • Biomass
  • Productivity
  • Fish community
  • D4C3
  • Size distribution
  • Fish community
  • D4C1
  • Other
  • abundance
  • Fish community
  • D4C1
  • Other
  • abundance
  • Fish community
  • D4C1
  • D4C2
  • D4C3
  • Other
  • Abundance (number of individuals)
  • Biomass
  • Size distribution
  • Species composition
  • Sub-apex demersal predators
  • D4C2
  • D4C3
  • Abundance (number of individuals)
  • Other
  • Size distribution
  • Age distribution Sex distribution
  • Apex predators
  • Secondary producers
  • D4C1
  • D4C2
  • D4C3
  • Other
  • Abundance (number of individuals)
  • Abundance (number of individuals) Species composit
  • Species composition
  • Apex predators
  • D4C1
  • D4C2
  • Other
  • Abundance (number of individuals)
  • Abundance (number of individuals) Distribution (ra
  • Population growth rate (in %)
  • Planktivores
  • Secondary producers
  • Sub-apex pelagic predators
  • D4C2
  • Abundance (number of individuals)
  • Biomass
  • Primary producers
  • D4C1
  • D4C2
  • D4C4
  • Other
  • Abundance (number of individuals)
  • Biomass
  • Primary production
  • Productivity
  • Cell counts
  • Species composition
  • Apex predators
  • D4C4
  • Other
  • Fecundity (breeding rate)
  • Deposit-feeders
  • Filter-feeders
  • Planktivores
  • Secondary producers
  • Sub-apex demersal predators
  • D4C1
  • D4C2
  • Other
  • Abundance (number of individuals)
  • Biomass
  • Species composition
Input or spread of non-indigenous species
  • Not Applicable
  • D2C1
  • D2C2
  • D2C3
  • Other
  • Presence
  • Abundance (number of individuals)
  • Biomass
  • Abundance (number of individuals); Biomass
Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Not Applicable
  • D1C2
  • D4C4
  • Abundance (number of individuals)
  • Productivity
Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
Input of nutrients – diffuse sources, point sources, atmospheric deposition
  • Not Applicable
  • NotRelevan
  • Other
  • Pollution load (tonnes/year) - N, P, BHT5
Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) – diffuse sources, point sources, atmospheric deposition, acute events
  • Not Applicable
  • NotRelevan
  • Other
  • Pollution load (tonnes/year) - Hg, Cd, Cu, Pb, Zn,
Input of litter (solid waste matter, including micro-sized litter)
  • Not Applicable
  • NotRelevan
  • AMO-WC
  • Amount on coastline
  • Amount on seabed
  • Other
  • Amount in sediments; Litter type and material
Input of anthropogenic sound (impulsive, continuous)
  • Not Applicable
  • NotRelevan
  • Level of sound
  • Other
  • Number of disturbance days - Impulsive underwater
Newly introduced non-indigenous species
  • Not Applicable
  • D2C1
  • Other
  • Presence
  • Abundance
  • Not Applicable
  • D2C1
  • Presence
  • Not Applicable
  • D2C1
  • Presence
Established non-indigenous species
  • Neogobius melanostomus
  • Palaemon elegans
  • Rhithropanopeus harrisii
  • D2C2
  • Abundance (number of individuals)
  • Abundance
  • Cercopagis pengoi
  • D2C2
  • Abundance (number of individuals)
  • Extent
  • Neogobius melanostomus
  • D2C2
  • Abundance (number of individuals)
  • Carassius gibelio
  • Neogobius melanostomus
  • D2C2
  • Abundance (number of individuals)
  • Carassius gibelio
  • Neogobius melanostomus
  • D2C2
  • Abundance (number of individuals)
  • Carassius gibelio
  • Neogobius melanostomus
  • D2C2
  • Abundance (number of individuals)
  • Carassius gibelio
  • Neogobius melanostomus
  • D2C2
  • Abundance (number of individuals)
  • Neogobius melanostomus
  • D2C2
  • Abundance (number of individuals)
Eutrophication
  • Benthic habitats - macrobenthic communities
  • D5C8
  • Abundance (number of individuals)
  • Extent
  • Other
  • Species composition; Biomass
  • Chlorophyll-a
  • D5C2
  • Concentration in water
  • Benthic habitats - macrobenthic communities
  • D5C8
  • Abundance (number of individuals)
  • Other
  • biomass; species richness
  • Benthic habitats - macrobenthic communities
  • D5C8
  • Abundance (number of individuals)
  • Other
  • Biomass; Species richness
  • Benthic habitats - macrophyte communities
  • Benthic habitats - opportunistic macroalgae
  • D5C6
  • D5C7
  • Coverage (e.g. of a species within a habitat or area)
  • Extent
  • Benthic habitats - macrophyte communities
  • Benthic habitats - opportunistic macroalgae
  • D5C6
  • D5C7
  • Extent
  • Other
  • Coverage (e.g. of a species within a habitat or area)
  • Coverage % on macrophytes
  • Cyanobacteria
  • Diatoms & Dinoflagellates
  • D5C3
  • Extent
  • Other
  • Ratio of Diatoms & Dinoflagellates
  • Chlorophyll-a
  • Cyanobacteria
  • D5C2
  • D5C3
  • Concentration in water
  • Extent
  • Other
  • Biomass
  • Benthic habitats - macrobenthic communities
  • Benthic habitats - macrophyte communities
  • Benthic habitats - opportunistic macroalgae
  • D5C6
  • D5C7
  • D5C8
  • Coverage (e.g. of a species within a habitat or area)
  • Extent
  • Abundance (number of individuals)
  • Benthic habitats - macrobenthic communities
  • Benthic habitats - macrophyte communities
  • Benthic habitats - opportunistic macroalgae
  • D5C6
  • D5C7
  • D5C8
  • Coverage (e.g. of a species within a habitat or area)
  • Extent
  • Abundance (number of individuals)
  • Benthic habitats - macrobenthic communities
  • Benthic habitats - macrophyte communities
  • Benthic habitats - opportunistic macroalgae
  • D5C6
  • D5C7
  • D5C8
  • Coverage (e.g. of a species within a habitat or area)
  • Extent
  • Abundance (number of individuals)
  • Benthic habitats - macrobenthic communities
  • Benthic habitats - macrophyte communities
  • Benthic habitats - opportunistic macroalgae
  • D5C6
  • D5C7
  • D5C8
  • Coverage (e.g. of a species within a habitat or area)
  • Extent
  • Abundance (number of individuals)
  • Chlorophyll-a
  • Cyanobacteria
  • D5C2
  • D5C3
  • Concentration in water
  • Extent
  • Frequency
  • Chlorophyll-a
  • Cyanobacteria
  • D5C2
  • D5C3
  • Concentration in water
  • Extent
  • Frequency
  • Benthic habitats - macrophyte communities
  • Benthic habitats - opportunistic macroalgae
  • D5C6
  • D5C7
  • Abundance (number of individuals)
  • Coverage (e.g. of a species within a habitat or area)
  • Extent
  • Oxygen debt
  • Chlorophyll-a
  • Cyanobacteria
  • Diatoms & Dinoflagellates
  • Phytoplankton communities
  • D5C2
  • D5C3
  • Concentration in water
  • Duration
  • Extent
  • Frequency
  • Benthic habitats - macrobenthic communities
  • D5C8
  • Abundance (number of individuals)
  • Other
  • Biomass Species composition
Coastal defence and flood protection
  • Not Applicable
  • NotRelevan
  • Other
  • Length of defence structure; Coastline pressure in
Offshore structures (other than for oil/gas/renewables)
  • Not Applicable
  • NotRelevan
  • Other
  • Area of structure; Area pressure index
Extraction of minerals (rock, metal ores, gravel, sand, shell)
  • Not Applicable
  • NotRelevan
  • Other
  • Mining volume; Mining area; Area pressure index
Extraction of oil and gas, including infrastructure
  • Not Applicable
  • NotRelevan
  • Other
  • Pipe length (area); Area pressure index
Extraction of water
  • Not Applicable
  • NotRelevan
  • Other
  • Volume
Renewable energy generation (wind, wave and tidal power), including infrastructure
  • Not Applicable
  • NotRelevan
  • Other
  • Area; Area pressure index
Transmission of electricity and communications (cables)
  • Not Applicable
  • NotRelevan
  • Other
  • Cable length (area); Area pressure index
Fish and shellfish harvesting (professional, recreational)
  • Not Applicable
  • NotRelevan
  • Other
  • Catch; By-catch
  • Not Applicable
  • NotRelevan
  • Other
  • Fishing effort (days)
Marine plant harvesting
  • Not Applicable
  • NotRelevan
  • Other
  • Amount (kg); Area
Hunting and collecting for other purposes
  • Not Applicable
  • NotRelevan
  • Other
  • Number of individuals hunted by species (waterbird
Aquaculture – marine, including infrastructure
  • Not Applicable
  • NotRelevan
  • Other
  • Production (tonnes); Area; Nutrient load
Transport infrastructure
  • Not Applicable
  • NotRelevan
  • Other
  • Area; Volume (goods and passengers); Number of loa
Transport – shipping
  • Not Applicable
  • NotRelevan
  • Other
  • Number of ships (incl. number of ships complying w
Waste treatment and disposal
  • Not Applicable
  • NotRelevan
  • Other
  • Areas of dumping sites and volume of dumped materi
Tourism and leisure infrastructure
  • Not Applicable
  • NotRelevan
  • Other
  • Number of marinas per coastline; Length of beach
Tourism and leisure activities
  • Not Applicable
  • NotRelevan
  • Other
  • Number of vacationists; Number of visits; People's
Military operations (subject to Article 2(2))
  • Not Applicable
  • NotRelevan
  • Other
  • Number of explosions; Number of trainings; Trainin
Research, survey and educational activities
  • Not Applicable
  • NotRelevan
  • Other
  • Volume of costs on marine researches; Number of re
Restructuring of seabed morphology, including dredging and depositing of materials
  • Not Applicable
  • NotRelevan
  • Other
  • Soil volume; Extent; Area pressure index
Adverse effects on species or habitats
  • Haliaeetus albicilla
  • D8C2
  • Other
  • Productivity; Brood size; Breeding success
  • Haliaeetus albicilla
  • D8C2
  • Extent
  • Halichoerus grypus
  • Pusa hispida
  • NotRelevan
  • Blubber thickness
  • Halichoerus grypus
  • Phoca vitulina
  • Phocoena phocoena
  • Pusa hispida
  • NotRelevan
  • Blubber thickness
  • Fecundity (breeding rate)
  • Other
  • Cause of death Presence of parasites Claw lesion
  • Haliaeetus albicilla
  • D8C2
  • Other
  • Shell thickness
  • Productivity Breeding success Brood size
Other pelagic habitats
  • Phytoplankton communities
  • D1C6
  • Other
  • Species composition; Abundance (number of individu
  • Zooplankton communities
  • D1C6
  • Other
  • Species composition; Abundance (number of individu
  • Coastal pelagic habitat
  • Shelf pelagic habitat
  • D1C6
  • Other
  • Abundance, biomass, species compostion
  • Phytoplankton communities
  • Zooplankton communities
  • NotRelevan
  • Abundance (number of individuals)
  • Biomass
  • Species composition
  • Abundance and biomass
  • abundance and biomass
  • Phytoplankton communities
  • Zooplankton communities
  • NotRelevan
  • Abundance (number of individuals)
  • Biomass
  • Species composition
  • Abundance and biomass
  • abundance and biomass
  • Phytoplankton communities
  • D1C6
  • Extent
  • concentration
  • Phytoplankton communities
  • D1C6
  • Extent
  • concentration
  • Zooplankton communities
  • Zooplankton communities - gelatinous
  • D1C6
  • Other
  • Abundance (number of individuals) Biomass Species
  • Abundance (number of individuals), Biomass, Specie
Chemical characteristics
  • CDOM - colored dissolved organic matter
  • Dissolved oxygen (O2)
  • H2S
  • Salinity
  • NotRelevan
  • Concentration in sediment (total)
  • Concentration in water
  • Other
  • Salinity
  • See SYKE manual
  • CDOM - colored dissolved organic matter
  • Dissolved oxygen (O2)
  • H2S
  • Salinity
  • NotRelevan
  • Concentration in sediment (total)
  • Concentration in water
  • Other
  • Salinity
  • See SYKE manual
Physical and hydrological characteristics
  • Seabed substrate and morphology
  • Temperature
  • NotRelevan
  • Physical structure of habitat (e.g. sediment characteristics, topographic structure)
  • Temperature
  • Seabed substrate and morphology
  • Temperature
  • D4C1
  • D4C2
  • NotRelevan
  • Other
  • Abundance (number of individuals)
  • Biomass
  • Physical structure of habitat (e.g. sediment characteristics, topographic structure)
  • Temperature
  • Species diversity
Spatial scope
  • EEZ (or similar)
  • EEZ (or similar)
  • Coastal waters (WFD)
  • EEZ (or similar)
  • Territorial waters
  • Coastal waters (WFD)
  • EEZ (or similar)
  • Territorial waters
  • Coastal waters (WFD)
  • Territorial waters
  • Coastal waters (WFD)
  • EEZ (or similar)
  • Territorial 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
  • EEZ (or similar)
  • Coastal waters (WFD)
  • Coastal waters (WFD)
  • Coastal waters (WFD)
  • Territorial waters
  • EEZ (or similar)
  • Coastal waters (WFD)
  • EEZ (or similar)
  • EEZ (or similar)
  • EEZ (or similar)
  • EEZ (or similar)
  • EEZ (or similar)
  • EEZ (or similar)
  • EEZ (or similar)
  • EEZ (or similar)
  • EEZ (or similar)
  • Terrestrial part of MS
  • Territorial waters
  • Coastal waters (WFD)
  • Transitional waters (WFD)
  • Coastal waters (WFD)
  • EEZ (or similar)
  • Territorial waters
  • Transitional waters (WFD)
  • Coastal waters (WFD)
  • EEZ (or similar)
  • Territorial waters
  • Transitional waters (WFD)
  • Coastal waters (WFD)
  • Territorial waters
  • Transitional waters (WFD)
  • Coastal waters (WFD)
  • Territorial waters
  • Transitional waters (WFD)
  • EEZ (or similar)
  • EEZ (or similar)
  • EEZ (or similar)
  • EEZ (or similar)
  • Coastal waters (WFD)
  • Territorial waters
  • Transitional waters (WFD)
  • Terrestrial part of MS
  • Transitional waters (WFD)
  • EEZ (or similar)
  • EEZ (or similar)
  • EEZ (or similar)
  • EEZ (or similar)
  • Territorial waters
  • Transitional waters (WFD)
  • Transitional waters (WFD)
  • Coastal waters (WFD)
  • Coastal waters (WFD)
  • EEZ (or similar)
  • Territorial waters
  • EEZ (or similar)
  • EEZ (or similar)
  • EEZ (or similar)
  • EEZ (or similar)
  • Coastal waters (WFD)
  • Beyond MS Marine Waters
  • Coastal waters (WFD)
  • 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)
  • Coastal waters (WFD)
  • EEZ (or similar)
  • Territorial waters
  • Coastal waters (WFD)
  • Beyond MS Marine Waters
  • Coastal waters (WFD)
  • EEZ (or similar)
  • Territorial waters
  • Coastal waters (WFD)
  • Coastal waters (WFD)
  • Coastal waters (WFD)
  • EEZ (or similar)
  • Territorial waters
  • Terrestrial part of MS
Marine reporting units
  • ANS-DK-KA
  • ANS-DK-L2.2.1
  • ANS-DK-L2.2.5
  • ANS-DK-L2.2.7
  • ANS-DK-OSPAR-TOTAL
  • ANS-DK-TOTAL
  • ANS-DK-TOTAL-WO_coast
  • BAL-DK-BB
  • BAL-DK-BS
  • BAL-DK-HELCOM-KATTEGAT
  • BAL-DK-HELCOM-OSTERSO
  • BAL-DK-HELCOM-STRAITS
  • BAL-DK-HELCOM-TOTAL
  • BAL-DK-SEA_002
  • BAL-DK-SEA_003
  • BAL-DK-SEA_004
  • BAL-DK-SEA_005
  • BAL-DK-SEA_006
  • BAL-DK-SEA_007
  • BAL-DK-SEA_05
  • BAL-DK-SEA_06
  • BAL-DK-SEA_07
  • BAL-DK-SEA_09
  • BAL-DK-TOTAL
  • BAL-DK-TOTAL-WO_coast
  • DK-ANS-ICES
  • DK-BAL-EAST-ICES
  • DK-BAL-WEST-ICES
  • DK-TOTAL
  • DK-TOTAL-WO_coast
  • DK-TOTAL-part-ANS
  • DK-TOTAL-part-BAL
  • ANS-DK-KA
  • ANS-DK-L2.2.1
  • ANS-DK-L2.2.5
  • ANS-DK-TOTAL
  • ANS-DK-TOTAL-WO_coast
  • BAL-DK-HELCOM-KATTEGAT
  • BAL-DK-SEA_001
  • BAL-DK-SEA_07
  • DK-TOTAL-part-ANS
  • BAL-EE-AA
  • BAL-EE-EGB
  • BAL-EE-GF
  • BAL-EE-GR
  • BAL-EE-NBP
  • BAL-EE-AA
  • BAL-EE-AA
  • BAL-AS-EE-ICES_SD_29
  • BAL-EE-AA
  • BAL-EE-GR
  • BAL-EGB-EE-EEEE_11
  • BAL-EGB-EE-ICES_SD_28-2
  • BAL-GF-EE-EEEE_01
  • BAL-GF-EE-EEEE_02
  • BAL-GF-EE-EEEE_03
  • BAL-GF-EE-EEEE_05
  • BAL-GF-EE-EEEE_06
  • BAL-GF-EE-ICES_SD_32
  • BAL-GR-EE-EEEE_07
  • BAL-GR-EE-EEEE_08
  • BAL-GR-EE-EEEE_09
  • BAL-GR-EE-EEEE_13
  • BAL-GR-EE-EEEE_14
  • BAL-GR-EE-EEEE_16
  • BAL-GR-EE-EEEE_17
  • BAL-GR-EE-EEEE_18
  • BAL-GR-EE-EEEE_19
  • BAL-GR-EE-ICES_SD_28-1
  • BAL-NBP-EE-EEEE_10
  • BAL-EE-AA
  • BAL-EE-EGB
  • BAL-EE-GF
  • BAL-EE-NBP
  • BAL-EE-AA
  • BAL-EE-EGB
  • BAL-EE-GF
  • BAL-EE-GR
  • BAL-EE-NBP
  • BAL-EGB-EE-EEEE_11
  • BAL-GF-EE-EEEE_01
  • BAL-GF-EE-EEEE_02
  • BAL-GF-EE-EEEE_03
  • BAL-GF-EE-EEEE_05
  • BAL-GF-EE-EEEE_06
  • BAL-GR-EE-EEEE_07
  • BAL-GR-EE-EEEE_08
  • BAL-GR-EE-EEEE_09
  • BAL-GR-EE-EEEE_13
  • BAL-GR-EE-EEEE_14
  • BAL-GR-EE-EEEE_16
  • BAL-GR-EE-EEEE_17
  • BAL-GR-EE-EEEE_18
  • BAL-GR-EE-EEEE_19
  • BAL-NBP-EE-EEEE_10
  • BAL-EE-AA
  • BAL-EE-EGB
  • BAL-EE-GF
  • BAL-EE-GR
  • BAL-EE-NBP
  • BAL-EGB-EE-EEEE_11
  • BAL-GF-EE-EEEE_01
  • BAL-GF-EE-EEEE_02
  • BAL-GF-EE-EEEE_03
  • BAL-GF-EE-EEEE_05
  • BAL-GF-EE-EEEE_06
  • BAL-GR-EE-EEEE_07
  • BAL-GR-EE-EEEE_08
  • BAL-GR-EE-EEEE_09
  • BAL-GR-EE-EEEE_13
  • BAL-GR-EE-EEEE_14
  • BAL-GR-EE-EEEE_16
  • BAL-GR-EE-EEEE_17
  • BAL-GR-EE-EEEE_18
  • BAL-GR-EE-EEEE_19
  • BAL-NBP-EE-EEEE_10
  • BAL-EE-AA
  • BAL-EE-EGB
  • BAL-EE-GF
  • BAL-EE-GR
  • BAL-EE-NBP
  • BAL-EGB-EE-EEEE_11
  • BAL-GF-EE-EEEE_01
  • BAL-GF-EE-EEEE_02
  • BAL-GF-EE-EEEE_03
  • BAL-GF-EE-EEEE_05
  • BAL-GF-EE-EEEE_06
  • BAL-GR-EE-EEEE_07
  • BAL-GR-EE-EEEE_08
  • BAL-GR-EE-EEEE_09
  • BAL-GR-EE-EEEE_13
  • BAL-GR-EE-EEEE_14
  • BAL-GR-EE-EEEE_16
  • BAL-GR-EE-EEEE_17
  • BAL-GR-EE-EEEE_18
  • BAL-GR-EE-EEEE_19
  • BAL-NBP-EE-EEEE_10
  • BAL-EE-AA
  • BAL-EE-EGB-OFFSHORE
  • BAL-EE-GF-OFFSHORE
  • BAL-EE-GR-OFFSHORE
  • BAL-EE-NBP-OFFSHORE
  • BAL-EGB-EE-EEEE_11
  • BAL-GF-EE-EEEE_01
  • BAL-GF-EE-EEEE_02
  • BAL-GF-EE-EEEE_03
  • BAL-GF-EE-EEEE_05
  • BAL-GF-EE-EEEE_06
  • BAL-GR-EE-EEEE_07
  • BAL-GR-EE-EEEE_08
  • BAL-GR-EE-EEEE_09
  • BAL-GR-EE-EEEE_13
  • BAL-GR-EE-EEEE_14
  • BAL-GR-EE-EEEE_16
  • BAL-GR-EE-EEEE_17
  • BAL-GR-EE-EEEE_18
  • BAL-GR-EE-EEEE_19
  • BAL-NBP-EE-EEEE_10
  • BAL-FI-AS-OFFSHORE
  • BAL-FI-BB-OFFSHORE
  • BAL-FI-BS-OFFSHORE
  • BAL-FI-GF-OFFSHORE
  • BAL-FI-NB-OFFSHORE
  • BAL-FI-QK-OFFSHORE
  • BAL-FI-AS-COAST
  • BAL-FI-BB-COAST
  • BAL-FI-BS-COAST
  • BAL-FI-GF-COAST
  • BAL-FI-QK-COAST
  • BAL-FI-AS-COAST
  • BAL-FI-BS-COAST
  • BAL-FI-GF-COAST
  • BAL-FI-QK-COAST
  • BAL-FI-AS-COAST
  • BAL-FI-BB-COAST
  • BAL-FI-BS-COAST
  • BAL-FI-GF-COAST
  • BAL-FI-QK-COAST
  • BAL-FI-AS-COAST
  • BAL-FI-BB-COAST
  • BAL-FI-BS-COAST
  • BAL-FI-GF
  • BAL-FI-QK
  • BAL-FI-QK-COAST
  • BAL-FI-AS
  • BAL-FI-AS-COAST
  • BAL-FI-AS-OFFSHORE
  • BAL-FI-BB
  • BAL-FI-BB-COAST
  • BAL-FI-BS
  • BAL-FI-BS-COAST
  • BAL-FI-BS-OFFSHORE
  • BAL-FI-GF
  • BAL-FI-GF-COAST
  • BAL-FI-GF-OFFSHORE
  • BAL-FI-NB
  • BAL-FI-NB-OFFSHORE
  • BAL-FI-QK
  • BAL-FI-QK-COAST
  • BAL-FI-QK-OFFSHORE
  • BAL-FI-AS-COAST
  • BAL-FI-BB-COAST
  • BAL-FI-BS-COAST
  • BAL-FI-GF-COAST
  • BAL-FI-QK-COAST
  • BAL-FI
  • BAL-FI
  • BAL-FI
  • BAL-FI-AS
  • BAL-FI-BS
  • BAL-FI-GF
  • BAL-FI-NB
  • BAL-FI-AS
  • BAL-FI-BB
  • BAL-FI-BS
  • BAL-FI-GF
  • BAL-FI-NB
  • BAL-FI-QK
  • BAL-FI-AS
  • BAL-FI-BB
  • BAL-FI-BS
  • BAL-FI-GF
  • BAL-FI-NB
  • BAL-FI-QK
  • BAL-FI-AS
  • BAL-FI-BB
  • BAL-FI-BS
  • BAL-FI-GF
  • BAL-FI-NB
  • BAL-FI-QK
  • BAL-FI-AS
  • BAL-FI-BB
  • BAL-FI-BS
  • BAL-FI-GF
  • BAL-FI-NB
  • BAL-FI-QK
  • BAL-FI-AS
  • BAL-FI-BB
  • BAL-FI-BS
  • BAL-FI-GF
  • BAL-FI-NB
  • BAL-FI-QK
  • BAL-FI-AS-COAST
  • BAL-FI-BB-COAST
  • BAL-FI-BS-COAST
  • BAL-FI-GF-COAST
  • BAL-FI-GF-OFFSHORE
  • BAL-FI-QK-COAST
  • BAL-FI
  • BAL-LT-AA-01
  • BAL-LT-AA-02
  • BAL-LT-AA-01
  • BAL-LT-AA-02
  • BAL-LT-AA-03
  • BAL-LT-AA-01
  • BAL-LT-AA-02
  • BAL-LT-AA-03
  • BAL-LV-AAA-007
  • BAL-LV-AAA-009
  • BAL-LV-AAA-007
  • BAL-LV-AAA-009
  • L2-SEA-007-POL
  • L2-SEA-008-POL
  • L2-SEA-009-POL
  • L4-POL-001
  • L4-POL-002
  • L4-POL-003
  • L4-POL-004
  • L4-POL-005
  • L4-POL-006
  • L4-POL-007
  • L4-POL-008
  • L4-POL-009
  • L4-POL-010
  • L4-POL-011
  • L4-POL-012
  • L4-POL-013
  • L4-POL-014
  • L4-POL-015
  • L4-POL-016
  • L4-POL-017
  • L4-POL-018
  • L4-POL-019
  • L2-SEA-007-POL
  • L2-SEA-008-POL_1
  • L2-SEA-009-POL
  • L4-POL-020
  • L4-POL-021
  • L4-POL-022
  • L4-POL-023
  • L4-POL-024
  • L4-POL-025
  • L4-POL-026
  • L4-POL-027
  • L4-POL-028
  • L4-POL-029
  • L4-POL-030
  • L2-SEA-007-POL
  • L2-SEA-008-POL
  • L2-SEA-009-POL
  • L4-POL-001
  • L4-POL-002
  • L4-POL-003
  • L4-POL-004
  • L4-POL-005
  • L4-POL-006
  • L4-POL-007
  • L4-POL-008
  • L4-POL-009
  • L4-POL-010
  • L4-POL-011
  • L4-POL-012
  • L4-POL-013
  • L4-POL-014
  • L4-POL-015
  • L4-POL-016
  • L4-POL-017
  • L4-POL-018
  • L4-POL-019
  • L2-SEA-007-POL
  • L2-SEA-008-POL_1
  • L2-SEA-009-POL
  • L4-POL-020
  • L4-POL-021
  • L4-POL-022
  • L4-POL-023
  • L4-POL-024
  • L4-POL-025
  • L4-POL-026
  • L4-POL-027
  • L4-POL-028
  • L4-POL-029
  • L4-POL-030
  • PL-SEA-L2-III-AVIFAUNA
  • PL-SEA-L2-IV-AVIFAUNA
  • PL-SEA-L2-III-AVIFAUNA
  • PL-SEA-L2-IV-AVIFAUNA
  • BAL-POL-MS-001
  • BAL-POL-MS-001
  • BAL-POL-MS-001
  • BAL-POL-ICHTYO-01
  • L4-POL-001
  • L4-POL-002
  • L4-POL-003
  • L4-POL-004
  • L4-POL-005
  • L4-POL-006
  • L4-POL-007
  • L4-POL-008
  • L4-POL-009
  • L4-POL-020
  • L4-POL-021
  • L4-POL-022
  • L4-POL-023
  • L4-POL-024
  • L4-POL-025
  • L4-POL-026
  • L4-POL-029
  • L4-POL-010
  • L4-POL-011
  • L4-POL-012
  • L4-POL-013
  • L4-POL-014
  • L4-POL-015
  • L4-POL-016
  • L4-POL-017
  • L4-POL-018
  • L4-POL-019
  • L4-POL-024
  • L4-POL-027
  • L4-POL-028
  • L4-POL-029
  • L4-POL-030
  • BAL-POL-MS-001
  • L2-SEA-007-POL
  • L2-SEA-008-POL
  • L2-SEA-009-POL
  • L4-POL-001
  • L4-POL-002
  • L4-POL-003
  • L4-POL-004
  • L4-POL-005
  • L4-POL-006
  • L4-POL-007
  • L4-POL-008
  • L4-POL-009
  • L4-POL-010
  • L4-POL-011
  • L4-POL-012
  • L4-POL-013
  • L4-POL-014
  • L4-POL-015
  • L4-POL-016
  • L4-POL-017
  • L4-POL-018
  • L4-POL-019
  • L2-SEA-007-POL
  • L2-SEA-008-POL_1
  • L2-SEA-009-POL
  • L4-POL-020
  • L4-POL-021
  • L4-POL-022
  • L4-POL-023
  • L4-POL-024
  • L4-POL-025
  • L4-POL-026
  • L4-POL-027
  • L4-POL-028
  • L4-POL-029
  • L4-POL-030
  • L2-SEA-007-POL
  • L2-SEA-008-POL
  • L2-SEA-009-POL
  • L4-POL-001
  • L4-POL-002
  • L4-POL-003
  • L4-POL-004
  • L4-POL-005
  • L4-POL-006
  • L4-POL-007
  • L4-POL-008
  • L4-POL-009
  • L4-POL-010
  • L4-POL-011
  • L4-POL-012
  • L4-POL-013
  • L4-POL-014
  • L4-POL-015
  • L4-POL-016
  • L4-POL-017
  • L4-POL-018
  • L4-POL-019
  • L2-SEA-007-POL
  • L2-SEA-008-POL_1
  • L2-SEA-009-POL
  • L4-POL-020
  • L4-POL-021
  • L4-POL-022
  • L4-POL-023
  • L4-POL-024
  • L4-POL-025
  • L4-POL-026
  • L4-POL-027
  • L4-POL-028
  • L4-POL-029
  • L4-POL-030
  • 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
  • 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-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_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-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
Temporal scope (start date - end date)
1983-9999
2020-2021
2015-9999
1967-9999
1957-9999
1975-9999
1992-9999
1993-9999
1993-9999
1991-9999
1993-9999
1964-9999
1964-9999
1993-9999
2020-9999
1948-9999
1975-9999
1972-9999
1988-9999
1998-9999
2001-9999
1979-9999
1979-9999
2002-9999
1980-9999
1979-9999
1986-9999
1971-9999
1992-9999
1990-9999
1980-9999
2021-2026
2021-2026
2014-9999
2014-9999
1999-9999
1999-9999
2011-9999
2015-9999
2014-9999
2014-9999
2014-9999
2011-9999
2011-9999
2011-9999
2011-9999
2011-9999
2011-9999
1999-9999
1999-9999
1999-9999
1999-9999
1960-9999
1972-9999
2011-9999
1967-9999
1988-9999
1994-9999
1993-9999
1979-9999
2022-9999
1975-9999
1971-9999
1965-9999
Monitoring frequency
Other
Yearly
Other
Yearly
Yearly
Yearly
Yearly
Yearly
Yearly
Yearly
Yearly
Yearly
Yearly
Yearly
3-yearly
Yearly
Yearly
Yearly
Yearly
Yearly
Continually
Yearly
Yearly
Yearly
Continually
Continually
Other
Continually
Yearly
Other
3-monthly
Other
Other
Yearly
Yearly
Yearly
Yearly
Yearly
Yearly
Yearly
Yearly
Yearly
6-monthly
3-yearly
3-yearly
6-yearly
6-yearly
6-yearly
Yearly
Yearly
Yearly
Yearly
Yearly
Other
Yearly
Yearly
Yearly
2-weekly
Other
Other
Yearly
As needed
Other
Yearly
Monitoring type
  • Administrative data collection
  • In-situ sampling coastal
  • In-situ sampling offshore
  • Ecological modelling
  • Administrative data collection
  • Remote flight imagery
  • Visual observation
  • Visual observation
  • In-situ sampling coastal
  • In-situ sampling offshore
  • 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 offshore
  • In-situ sampling coastal
  • In-situ sampling coastal
  • In-situ sampling coastal
  • Visual observation
  • Remote flight imagery
  • Visual observation
  • In-situ sampling land/beach
  • Remote flight imagery
  • In-situ sampling coastal
  • Other
  • In-situ sampling coastal
  • In-situ sampling offshore
  • In-situ sampling coastal
  • In-situ sampling offshore
  • Administrative data collection
  • In-situ sampling coastal
  • In-situ sampling offshore
  • Administrative data collection
  • In-situ sampling coastal
  • In-situ sampling offshore
  • Remote satellite imagery
  • In-situ sampling coastal
  • Visual observation
  • Administrative data collection
  • 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 coastal
  • In-situ sampling offshore
  • In-situ sampling coastal
  • In-situ sampling offshore
  • In-situ sampling coastal
  • In-situ sampling land/beach
  • In-situ sampling offshore
  • In-situ sampling coastal
  • In-situ sampling land/beach
  • Remote surveillance
  • In-situ sampling land/beach
  • Remote flight imagery
  • In-situ sampling land/beach
  • Remote flight imagery
  • In-situ sampling offshore
  • Other
  • Other
  • Other
  • Other
  • Other
  • In-situ sampling coastal
  • In-situ sampling offshore
  • In-situ sampling coastal
  • In-situ sampling offshore
  • 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
  • Visual observation
  • Numerical modelling
  • Visual observation
  • Remote flight imagery
  • Visual observation
  • In-situ sampling coastal
  • In-situ sampling offshore
  • In-situ sampling coastal
  • Visual observation
  • 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
  • In-situ sampling coastal
  • In-situ sampling coastal
  • In-situ sampling offshore
  • In-situ sampling land/beach
  • Remote flight imagery
Monitoring method
  • Other monitoring method
  • Other monitoring method
  • OSPAR CEMP Guidelines for Monitoring and Assessment of loud, low and mid-frequency impulsive sound sources in the OSPAR Maritime Region
  • Other monitoring method
  • HELCOM Guidelines for coordinated monitoring of wintering birds
  • Other monitoring method
  • HELCOM Guidelines for coastal fish monitoring
  • Other monitoring method
  • Other monitoring method
  • HELCOM Guidelines for monitoring phytoplankton species composition, abundance and biomass
  • HELCOM Guidelines for monitoring of mesozooplankton
  • OSPAR JAMP Eutrophication Monitoring Guidelines: Benthos (Agreement 2012-12) (Replaces Agreement 1997-06)
  • Other monitoring method
  • HELCOM Guidelines for measuring chlorophyll a
  • HELCOM Manual for monitoring in COMBINE programme
  • HELCOM Manual for monitoring in COMBINE programme
  • HELCOM Manual for monitoring in COMBINE programme
  • Other monitoring method
  • Other monitoring method
  • Other monitoring method
  • HELCOM Guidelines for coordinated monitoring of wintering birds
  • Other monitoring method
  • Other monitoring method
  • HELCOM Guidelines for monitoring seal abundance and distribution in the HELCOM area
  • HELCOM Guidelines for monitoring reproductive status of seals in the HELCOM area
  • Other monitoring method
  • HELCOM Manual for monitoring in COMBINE programme
  • HELCOM Guidelines for monitoring phytoplankton species composition, abundance and biomass
  • HELCOM Manual for monitoring in COMBINE programme
  • Other monitoring method
  • Other monitoring method
  • HELCOM Guidelines for measuring chlorophyll a
  • Other monitoring method
  • Other monitoring method
  • Other monitoring method
  • HELCOM Guidelines for coastal fish monitoring
  • HELCOM Guidelines for monitoring of mesozooplankton
  • HELCOM Guidelines for monitoring phytoplankton species composition, abundance and biomass
  • HELCOM Guidelines for monitoring of mesozooplankton
  • HELCOM Manual for monitoring in COMBINE programme
  • HELCOM Guidelines for monitoring of mesozooplankton
  • HELCOM Manual for monitoring in COMBINE programme
  • HELCOM Manual for monitoring in COMBINE programme
  • HELCOM Manual for monitoring in COMBINE programme
  • HELCOM Manual for monitoring in COMBINE programme
  • HELCOM Manual for monitoring in COMBINE programme
  • HELCOM Guidelines for coordinated monitoring of wintering birds
  • Other monitoring method
  • Other monitoring method
  • HELCOM Guidelines for monitoring reproductive status of seals in the HELCOM area
  • HELCOM Guidelines for monitoring seal abundance and distribution in the HELCOM area
  • Other monitoring method
  • HELCOM Guidelines for monitoring reproductive status of seals in the HELCOM area
  • HELCOM Guidelines for monitoring seal abundance and distribution in the HELCOM area
  • Other monitoring method
  • SISP 7 - BITS Manual for the Baltic International Trawl Surveys
  • 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 monitoring of mesozooplankton
  • HELCOM Guidelines for monitoring phytoplankton species composition, abundance and biomass
  • HELCOM Guidelines for monitoring of mesozooplankton
  • HELCOM Guidelines for monitoring phytoplankton species composition, abundance and biomass
  • HELCOM Guidelines for measuring chlorophyll a
  • HELCOM Guidelines for monitoring phytoplankton species composition, abundance and biomass
  • HELCOM Guidelines for measuring chlorophyll a
  • HELCOM Guidelines for monitoring phytoplankton species composition, abundance and biomass
  • 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
  • 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 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
  • 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
  • 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
  • Other monitoring method
Monitoring method other
Overvågningsprogrammet for havets fødenet er baseret på overvågningen af de enkelte komponenter, som indgår i fødenettet og som er beskrevet under Deskriptor 1, 3 og 6. Relevante overvågningsmetoder og manualer er angivet under disse.
ENA-model projektet er et indledende projekt, der skal undersøge brugen af økologiske modeller i sammenhæng af havstrategiens deskriptor 4: Havets fødenet. Der kan således ikke henvises til konkrete overvågningsmetoder, da de endnu ikke er udarbejdede.
There is no separate monitoring for the programme, the administrative data collection is performed and based on information from databases, maps, plans, environmental permits and their reporting and controls, etc. Estonian maritime spatial plan. The frequency of monitoring depends on activity: from annually to once per the 6-year period.
The monitoring is based on the method and proposals described by A. Leito in "Väikeste meresaarte haudelindude (merelindude) seire senine kogemus ning ettepanekud ühtse riikliku seireprogrammi rakendamiseks Eestis" ("Experience of monitoring of breeding birds on small maritime islands and proposals for the implementation of the common national monitoring programme in Estonia") in 2008. Monitoring is carried out on selected small islands (island groups) and nesting sites of white-tailed eagle (on land up to 20 km from seashore). Breeding pairs, as well as a monitoring-year nest and/or pair or single bird, are used as counting units. The number of breeding species on the island Is counted. The indexes for the assessment of the abundance trend are based on whole gathered data from small islands. For assessment of white-tailed eagle productivity, the nesting sites are monitored and the number of occupied nests and fledglings are fixed. The nests are usually being controlled in late May-early July. The productivity is counted as the mean number of fledglings per occupied nest. The monitoring on small islands is carried out every year on sites with continuous monitoring and where cormorant, Sandwich tern and Caspian tern colonies are monitored continuously, other sites are monitored in rotation – at least once per 6-year period. The monitoring of white-tailed eagle nesting sites is done in rotation, and all nests are controlled at least once every 3 years.
ICES WGBFAS
The monitoring and assessment of the state of herring and sprat stocks are following the ICES WGBFAS methodology. Herring and sprat stocks and stock trends are assessed on the basis of the catches. Based on the collected material, biological analyses are performed and the age of the individuals is determined.
National monitoring programme
Bladder wrack and macroalgae monitoring follows Finnish Environment Institutes monitoring instructions, which follows HELCOM COMBINE - https://helcom.fi/wp-content/uploads/2019/08/Manual-for-Marine-Monitoring-in-the-COMBINE-Programme-of-HELCOM_PartC_AnnexC9.pdf. Blue mussel monitoring follows bladder wrack monitoring instructions.
The Finnish Inventory Programme for the Underwater Marine Environment (VELMU) - https://www.environment.fi/en-US/VELMU Åbo Akademi - http://urn.fi/URN:ISBN:978-952-12-3309-8
Marine breeding birds abundance and distribution - http://helcom.fi/action-areas/monitoring-and-assessment/monitoring-manual/birds/marine-breeding-birds-abundance-and-distribution/ Currently the whole counting network consists of 45 selected breeding areas situated in the archipelagos along the Finnish coast. About 20-30 of the areas are counted annually, but all areas are counted at least once every third year.
Koskimies & Väisänen 1991, Hario et al. 1993 & 1995, Lehikoinen et al. 2017
https://helcom.fi/wp-content/uploads/2019/12/Birds-Marine-bird-health.pdf
HELCOM:n asiantuntijaryhmä kehittää parhaillaan koko Itämeren kattavaa indikaattoria ”Abundance and distribution of harbour porpoises”. Tämän indikaattorin kynnysarvoja hyvälle tilalle tai mahdollisia alaindikaattoreita ei ole vielä määritelty, mutta kansalliset merenhoidon hyvän tilan määritelmät ovat: • Pyöriäisen levinneisyysalueen reunat ulottuvat Suomen merialueille, pl. Perämeri, ja se havaitaan vuosittain kullakin merialueella (Suomenlahti, Pohjois-Itämeri, Selkämeri, Merenkurkku, Saaristomeri ja Ahvenanmeri). • Pyöriäisen populaation tulisi kasvaa Itämeren pääaltaalla kohti elinvoimaista populaatiokokoa.
Data collection and handling is coordinated in RCB Baltic group and ICES working groups WGBIFS and WGBAST
Monitoring - https://stat.luke.fi/en/commercial-marine-fishery
https://helcom.fi/media/documents/Water-column-habitats-Pigments.pdf
Monitoring is based on sightings of general public and ornithologists
Hunting organizations carry out game questionnaires. Hunting statistics are maintained by the hunting organizations and stored into a database. Data on species requiring special permit is obtained through the licensing system.
Method described in Monitoring programme, text-based paper report.
Monitoring is carried out according to the HELCOM guidelines
Monitoring is carried out according to the HELCOM guidelines (see HELCOM Monitoring Manual: http://www.helcom.fi/action-areas/monitoring-and-assessment/monitoring-manual)
The HELCOM common monitoring relevant on white-tailed sea eagles is described on a general level in the HELCOM Monitoring Manual in the sub-programme: Marine bird health. http://www.helcom.fi/action-areas/monitoring-and-assessment/monitoring-manual/birds/marine-bird-health
http://morskiesiedliska.gios.gov.pl/images/1351_Morswin_OST.pdf Method according to Sambah project based on C-POD passive acoustic detection.
http://morskiesiedliska.gios.gov.pl/images/1364_Foka_szara_OST.pdf
http://morskiesiedliska.gios.gov.pl/images/1365_Foka_pospolita.pdf
Przewodnik metodyczny do badań terenowych i analiz laboratoryjnych ichtiofauny w wodach przejściowych i przybrzeżnych; GIOŚ 2014) www.gios.gov.pl
Przewodnik metodyczny do badań terenowych i analiz laboratoryjnych ichtiofauny w wodach przejściowych i przybrzeżnych; GIOŚ 2014) www.gios.gov.pl Podręcznik do monitoringu elementów biologicznych i klasyfikacji stanu ekologicznego wód powierzchniowych. Aktualizacja metod. (GIOŚ 2020) https://www.gios.gov.pl/images/dokumenty/pms/monitoring_wod/Podrecznik_Monitoringu_Wod.pdf
Przewodnik metodyczny do badań terenowych i analiz laboratoryjnych ichtiofauny w wodach przejściowych i przybrzeżnych; GIOŚ 2014) www.gios.gov.pl
Przewodnik metodyczny do badań terenowych i analiz laboratoryjnych ichtiofauny w wodach przejściowych i przybrzeżnych; GIOŚ 2014) www.gios.gov.pl
Przewodnik metodyczny do badań terenowych i analiz laboratoryjnych ichtiofauny w wodach przejściowych i przybrzeżnych; GIOŚ 2014) www.gios.gov.pl
"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.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"
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"
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"
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/mjukbottenlevande-makrofauna-trend--och-omradesovervakning.html
https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/havsorn-bestand.html
Quality control
I forbindelse med håndtering af naturdata er der defineret en kvalitetssikringsprocedure, der omfatter selve indtastnings- og redigeringsprocessen. Det videre forløb i forbindelse med godkendelse af data på kommunalt, regionalt og fagdatacenter niveau understøttes også af systemet. Nærmere oplysninger herom findes i www.naturdata.dk under ’Vejledninger’ og ’Kvalitetssikringsflow’. For de aktiviteter, som Fiskeristyrelsen og DTU Aqua gennemfører, foretages kvalitettssikringen hhv. af disse parter. Alt data som indsamles bliver indtastet og gemt i hhv. DTU Aqua og Fiskeristyrelsens databaser.
I Danmark kvalitetssikres størstedelen af de danske overvågningsdata i den nationale database (VanDa) ved tre kvalitetssikringsniveauer: 1. Elektronisk kontrol – den automatiske kontrol alle indtastninger undergår, når der registreres data i VanDa 2. Faglig kontrol – automatisk/manuel vurdering af data og data serier i VanDa. 3. Fagdatacenter kontrol – manuel vurdering af data og dataserier udført af fagdatacentret. Hvis data ikke indrapporteres til den nationale database kvalitetssikres data af konsulenten, der udfører overvågningsopgaven, samt MFVM efter metoderne beskrevet i nationale tekniske anvisninger eller internationale guidelines.
Data quality control systems of relevant data sources.
National, including data quality control when entering data into the e-Biodiversity (PlutoF) database. Internationally coordinated by Wetlands International, HELCOM/ICES JWGBirdGroup.
National, ie observations are carried out by professional observers and quality control is performed when entering data into databases.
General requirements for the competence of testing and calibration laboratories are filled according to ISO/IEC 17025 and the recommendations of monitoring manuals are followed (HELCOM, ICES WGBFAS).
ICES WGBFAS
The quality is ensured by following the standard methods and HELCOM guidance as well as accreditation of experts and persons by whom the monitoring is performed.
The quality is ensured by following the HELCOM guidance as well as accreditation of experts and persons by whom the monitoring is performed.
The quality is ensured by following the OSPAR/HELCOM guidance (OSPAR JAMP Eutrophication Monitoring Guidelines: Benthos (Agreement 2012-12) (Replaces Agreement 1997-06) recommendations, accreditation of experts and persons by whom the monitoring is performed and filling of general requirements for the competence of testing and calibration laboratories according to ISO/IEC 17025.
The quality is assured by following the HELCOM guidance as well as accreditation of experts and persons by whom the monitoring is performed and by filling of general requirements for the competence of testing and calibration laboratories according to ISO/IEC 17025.
Soft bottom sediment monitoring is FINAS-accredited (SFS-EN ISO/IEC 17025) and follows HELCOM COMBINE manual.
Soft bottom sediment monitoring is FINAS-accredited (SFS-EN ISO/IEC 17025) and follows HELCOM COMBINE manual.
HELCOM manual for monitoring in COMBINE: http://www.helcom.fi/action-areas/monitoring-and-assessment/monitoring-manual/benthic-community-species-distribution-and-abundance/hardbottom-species
Monitoring and methods based on VELMU monitoring
The calculation is based on cavity or other verification of the nesting, so that there are no ambiguous situations at the time of the calculation. For more information, see Hario and Rintala (2011).
Methods are according to Wetlands International- organizations standards. Methods described in HELCOM instructions (Helcom, 2015)
Method developed in co-operation with Swedish and German authorities under HELCOM
The calculation methods should remain constant. When factors affecting the visibility of seals can be taken into account, the overall population estimates are also reliable. The same methodology is used in all Baltic Sea countries. The stock assessment of the regime is only reliable at the level of the Baltic Sea as a whole. With a more detailed structure, the stock distribution cannot be carried out outside the hair exchange period. Elephant stock assessments and sub-stock allocation are reliable. There are four distinct core areas of occurrence in the Baltic Sea: The Bothnian Sea, the Archipelago Sea, the North Sea of the Gulf of Finland and the Gulf of Riga.
The methodology has been partly harmonised at HELCOM EG MAMA meetings.
The acoustic monitoring method used has been proven to be reliable and widely used in other parts of the world and the results are comparable to those carried out in other Baltic Sea countries. All acoustic observations are manually verified. Visual elements shall be interviewed and the reliability of the findings assessed by the expert group before entering them into the databases.
Offshore sampling follows HELCOM COMBINE program and coastal sampling instructions from Finnish Environment Institute (SYKE). Ring tests for zooplankton identifiers (HELCOM ZEN), Inter-and intra-laboratory calibrations.
Monitoring follows instructions from Finnish Environment Institute (SYKE), which are based on HELCOM COMBINE program. Certificate of phytoplankton identification is required from person identifying phytoplankton from the sample
Quality control incorporated to national monitoring
Quality control - https://stat.luke.fi/en/commercial-marine-fishery
Fluorometers are calibrated annually in laboratory against standards. Analysis procedure is audited annually by FINAS laboratory accreditation
No specified quality control. Data comes from various sources, so mass mortalities are most likely reported
https://stat.luke.fi/tilasto/4428/laatuseloste/4697
Tyrimų paslaugos perkamos. Tyrimų kokybę siekiama užtikrinti keliant aukštus kvalifikacinius reikalavimus tyrėjams (darbo patirtis, leidimai tokiai veiklai, plačiai taikomų bendrų metodikų naudojimas). Ekspertai dalyvauja HELCOM FISH darbo grupės veikloje.
Aplinkos apsaugos agentūros laboratorijų darbe atliekamų tyrimų kokybė užtikrinama laikantis standarto LST EN ISO/IEC 17025 reikalavimų. Duomenų kokybei užtikrinti daromi palyginamieji tyrimai, duomenys lyginami su daugiametėmis tendencijomis, ieškomos išskirtys. Ekspertai dalyvauja HELCOM ZEN projektuose.
Aplinkos apsaugos agentūros laboratorijų darbe atliekamų tyrimų kokybė užtikrinama laikantis standarto LST EN ISO/IEC 17025 reikalavimų. Duomenų kokybei užtikrinti daromi palyginamieji tyrimai, duomenys lyginami su daugiametėmis tendencijomis, ieškomos išskirtys. Tyrėjas dalyvauja HELCOM PEG (Phytoplankton Expert Group) darbo grupėje.
QA procedures according to Manual for Marine Monitoring in the COMBINE Programme of HELCOM. Part B. General Guidelines on Quality Assurance for Monitoring in the Baltic Sea" and in Guidelines for monitoring of mesozooplankton in this Manual. QC procedures: R - control charts based on agreed quality criterion, participation in ring-testing activities in line with HELCOM recommendations.
QA procedures according to Manual for Marine Monitoring in the COMBINE Programme of HELCOM. Part B. General Guidelines on Quality Assurance for Monitoring in the Baltic Sea" and in Guidelines for monitoring of mesozooplankton in this Manual. QC procedures: R - control charts based on agreed quality criterion, participation in ring-testing activities in line with HELCOM recommendations.
according HELCOM recommendations
according HELCOM recommendations
according HELCOM recommendations
according HELCOM recommendations
Two steps: (1) fieldwork organiser keeps sure that fieldwork is going on according to methodological guidelines, (2) national coordinator explore and check the data.
One step. National coordinator keeps sure that fieldwork is going on according to the methodological standards and is responsible for data validation and results calculation.
according to Sambah project
according to Helcom
according to Helcom
Screening programme ICES DATRAS centre
NMFRI provides an internal multi-layer quality control of data collected during sampling e.g: cross-checking the catches protocols, database correctness, working scheme in accordance with agreed HELCOM methodology.
NMFRI provides an internal multi-layer quality control of data collected during sampling e.g: cross-checking the catches protocols, database correctness, working scheme in accordance with agreed HELCOM methodology.
NMFRI provides an internal multi-layer quality control of data collected during sampling e.g: cross-checking the catches protocols, database correctness, working scheme in accordance with agreed HELCOM methodology.
NMFRI provides an internal multi-layer quality control of data collected during sampling e.g: cross-checking the catches protocols, database correctness, working scheme in accordance with agreed HELCOM methodology.
NMFRI provides an internal multi-layer quality control of data collected during sampling e.g: cross-checking the catches protocols, database correctness, working scheme in accordance with agreed HELCOM methodology.
according HELCOM recommendations
according HELCOM recommendations
according HELCOM recommendations
according HELCOM recommendations
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.
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.
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
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.
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.
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.
Data management
I Danmark udvikles der lige nu en ny national database, som har til formål at samle og opbevare data fra vandmiljøovervågningen – herunder også overvågningen under havstrategien. Databasen forventes færdigudviklet i første halvår 2021. Efter en kvalitetssikring vil data blive gjort offentligt tilgængelige.
I Danmark udvikles der lige nu en ny national database, som har til formål at samle og opbevare data fra vandmiljøovervågningen – herunder også overvågningen under havstrategien. Databasen forventes færdigudviklet i første halvår 2021. Efter en kvalitetssikring vil data blive gjort offentligt tilgængelige.
The data are compiled from different databases of different institutions. The compilation and collection of data are coordinated by the Marine Environment Department of the Ministry of the Environment.
Data are annually reported to the national environmental monitoring database KESE (by 1 March). Data collection into the regional database for assessment purposes is coordinated by the HELCOM/ICES JWGBird Group.
Data are annually reported to the national environmental monitoring database KESE (by 1 March). Data collection into the regional database for assessment purposes is coordinated by the HELCOM/ICES JWGBird Group.
Data are reported annually to the Ministry of the Environment and the Ministry of Rural Affairs. The raw data are also stored in databases of Estonian Marine Institute at Tartu University.
Data are reported annually to the Ministry of the Environment and the Ministry of Rural Affairs. The raw data are also stored in databases of Estonian Marine Institute at Tartu University.
Data are yearly reported to the national environmental monitoring database KESE (by 1 March) and ICES (HELCOM Combine).
Data are yearly reported to the national environmental monitoring database KESE (by 1 March) and ICES (HELCOM Combine).
Data are yearly reported to the national environmental monitoring database KESE (by 1 March) and ICES (HELCOM Combine).
The data are yearly reported to the national environmental monitoring database KESE (by 1 March) and ICES (HELCOM Combine).
SYKE's POHJE database (https://www.syke.fi/avointieto). The same data is submitted to ICES HELCOM database. HELCOM publishes the indicator data and results: http://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/0fdc6cb9-fa15-4ba3-9d73-8aeddb5cff64.
Stored in SYKE's POHJE database. Currently also submitted to ICES and used in the HELCOM indicator.
Database being constructed for the monitoring data.
Data will be compatible with VELMU-data and stored in Laji-GIS database
Primary data only for researchers. Results at HELCOM Biodiversity database Summary of result at HELCOM indicators
Data stored in Finnish Museum of Natural History database. Data reported yearly to Wetlands Internationals database. HELCOM publishes indicator results yearly and publsihed indicator data.
Primary data stored in Finnish Museum of Natural History. HELCOM publishes indicator data.
Raw data is only available to researchers. The seal material shall be available in the Luke’s comparison database and public viewable and open clustered number data, with an accuracy of 50 km of ICES rectangles. For each rectangle, a multiple of the calculation times the maximum data of the detected halls shall be reported. For elephants (Fael Sea), the original data is in Swedish.
Raw data not in publicly available. Data to indicator: http://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/106828cf-70af-4e52-b8d2-bc413c387852
Acoustic primary data only for researches to use
Data saved to SYKE data center, National Oceanographic and Atmospheric Administrations (NOAA) plankton database and International Council for the Exploration of the Sea (ICES) data portal. Results can be found from HELCOM indicators
Data is saved into Finland's environmental administrations Hertta- data system and submitted to ICES.
National databases and submissions to ICES DATRAS and ICES Acoustic trawl surveys database.
National database:http://www.ely-keskus.fi/web/ely/saalisseuranta. Summary statisitcs:https://statdb.luke.fi/PXWeb/pxweb/fi/LUKE/LUKE__06 Kala ja riista__02 Rakenne ja tuotanto__02 Kaupallinen kalastus merella/?tablelist
Mortality data not publicly available Bird ringing data available online
Primary data only accessible for researchers
Duomenys kaupiami Aplinkos apsaugos agentūros (www.gamta.lt) duomenų bazėje ir Gamtos tyrimų centre http://www.gamtostyrimai.lt/en/. Surinkti Duomenų rinkimo programos rėmuose kaupiami Klaipėdos universiteto Jūrų tyrimų institute http://apc.ku.lt/en/. Naudojami vertinant jūros aplinkos būklę pagal Bendrąją vandens politikos direktyvą, Jūrų strategijos pagrindų direktyvą, stebint daugiametes tendencijas. Teikiami HELCOM.
Duomenys kaupiami Aplinkos apsaugos agentūros duomenų bazėje. Naudojami vertinant jūros aplinkos būklę pagal Jūrų strategijos pagrindų direktyvą, stebint daugiametes tendencijas. Kasmet teikiami ICES. Pagal prašymus teikiami visuomenei, juridiniams asmenims (prašymai siunčiami Aplinkos apsaugos agentūrai (www.gamta.lt) elektroniniu paštu aaa@aaa.am.lt).
Duomenys kaupiami Aplinkos apsaugos agentūros duomenų bazėje. Naudojami vertinant jūros aplinkos būklę pagal Bendrąją vandens politikos direktyvą, Jūrų strategijos pagrindų direktyvą, stebint daugiametes tendencijas. Kasmet teikiami ICES. Pagal prašymus teikiami visuomenei, juridiniams asmenims (prašymai siunčiami Aplinkos apsaugos agentūrai (www.gamta.lt) elektroniniu paštu aaa@aaa.am.lt).
Data holder is Latvian Institute of Aquatic Ecology (LIAE). QC on data according to the Manual for Marine Monitoring in the COMBINE Programme of HELCOM. Part B. General Guidelines on Quality Assurance for Monitoring in the Baltic Sea and in Guidelines for monitoring of mesozooplankton in this Manual. Data are available in LIAE, ICES, EMODNET.
Data holder is Latvian Institute of Aquatic Ecology (LIAE). QC on data according to the Manual for Marine Monitoring in the COMBINE Programme of HELCOM. Part B. General Guidelines on Quality Assurance for Monitoring in the Baltic Sea and in Guidelines for monitoring of mesozooplankton in this Manual. Data are available in LIAE, ICES, EMODNET.
Raw databases are stored on the Chief Inspectorate of Environmental Protection hard disks.
Raw databases are stored on the Chief Inspectorate of Environmental Protection hard disks.
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
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.
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
http://register.keskkonnainfo.ee/envreg/main#HTTPMEaW1ThSjHUyzXzMt7jr3MuRYp5PuE,https://andmed.stat.ee/et/stat,https://geoportaal.maaamet.ee/,https://kese.envir.ee,https://kotkas.envir.ee/,https://veeteedeamet.ee/et/laevandus-eesti-lipp-sadamad/eesti-laevaregistrid,https://vet.agri.ee/et/kalandus-toiduturg/puugistatistika-lossimiskohad-ja-kala-esmakokkuostukohad/puugiandmed,https://www.agri.ee/et/eesmargid-tegevused/kalamajandus-ja-kutseline-kalapuuk/puugiandmed,https://www.eas.ee/teenused/,https://www.ehr.ee/,https://www.envir.ee/et/eesmargid-tegevused/kalandus/harrastuspuuk/statistika-ja-uuringud,https://www.envir.ee/et/kalanduse-uuringud-ja-aruanded,https://www.etis.ee/,https://www.keskkonnaagentuur.ee/et/kuttimine,https://www.keskkonnaamet.ee/et/eesmargid-tegevused/jahindus/operatiivsed-kuttimisandmed,https://www.marinetraffic.com/en/ais/,https://www.sadamaregister.ee/,https://www.terviseamet.ee/et/keskkonnatervis/ettevotjale-ja-kohalikule-omavalitsusele/supluskohad-ja-ujulad/suplusvee-profiilid,https://xgis.maaamet.ee/xgis2/page/app/maainfo,https://xgis.maaamet.ee/xgis2/page/app/merekaart
Related indicator/name
  • ABU
  • BIOM
  • SPP-C
  • ABU
  • BIOM
  • HabPelBHT
  • HabPelOther
  • SPP-C
  • ICES stock assessment
  • ICES stock assessment
  • ICES stock assessment
  • ICES stock assessment
  • ICES stock assessment
  • 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-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
  • BALSE-8.2B_Produktivitet_havs�rn
  • BALSE-B.2.1_Skaltjocklek_havs�rn_�gg
Contact
Miljøstyrelsen masjo@mst.dk mihje@mst.dk
Miljøstyrelsen masjo@mst.dk mihje@mst.dk
Estonian Environment Agency, kaur@envir.ee; Estonian Ornithological Society, eoy@eoy.ee; Estonian University of Life Sciences, Institute of Agricultural and Environmental Sciences, Leho Luigujõe, leho.luigujoe@emu.ee.
Meelis Leivits, Estonian Environment Agency, meelis.leivits@envir.ee
Ministry of the Environment: Elo Rasmann (elo.rasmann@envir.ee); University of Tartu, Estonian Marine Institute: Redik Eschbaum, redik.eschbaum@ut.ee, Lauri Saks, lauri.saks@ut.ee.
Ministry of the Environment: Elo Rasmann (elo.rasmann@envir.ee); University of Tartu, Estonian Marine Institute: Redik Eschbaum, redik.eschbaum@ut.ee, Lauri Saks, lauri.saks@ut.ee.
Estonian Environment Agency: Anastasiia Kovtun-Kante, anastasiia.kovtun-kante@envir.ee; Arthur Kivi, arthur.kivi@envir.ee
Estonian Environment Agency: Anastasiia Kovtun-Kante, anastasiia.kovtun-kante@envir.ee; Arthur Kivi, arthur.kivi@envir.ee
Estonian Environment Agency: Anastasiia Kovtun-Kante, anastasiia.kovtun-kante@envir.ee; Arthur Kivi, arthur.kivi@envir.ee
Estonian Environment Agency: Anastasiia Kovtun-Kante, anastasiia.kovtun-kante@envir.ee; Arthur Kivi, arthur.kivi@envir.ee
http://www.helcom.fi/action-areas/monitoring-and-assessment/monitoring-manual/benthic-community-species-distribution-and-abundance/softbottom-fauna
SYKE open access interface for environmental data
http://www.helcom.fi/helcom-at-work/groups/state-and-conservation/eg-mama. https://www.luke.fi/tietoa-luonnonvaroista/riista/hylkeet/
http://www.helcom.fi/baltic-sea-trends/indicators/reproductive-status-of-seals/ http://www.helcom.fi/action-areas/monitoring-and-assessment/monitoring-manual/mammals/health-status
http://www.helcom.fi/helcom-at-work/groups/state-and-conservation/eg-mama.
Latvian Institute of Aquatic Ecology e-mail: juris.aigars@lhei.lv
Latvian Institute of Aquatic Ecology e-mail: juris.aigars@lhei.lv
Person responsible in Chief Inspectorate of Environmental Protection: Dorota Łukasik d.lukasik@gios.gov.pl National coordinator of monitoring programme: Włodzimierz Meissner: wlodzimierz.meissner@ug.edu.pl , and Dominik Marchowski: marchowskid@gmail.com
A person responsible in Chief Inspectorate of Environmental Protection: Dorota Łukasik d.lukasik@gios.gov.pl General coordinator of monitoring program: Tomasz Chodkiewicz tomasz.chodkiewicz@otop.org.pl
miljoovervakning@havochvatten.se
miljoovervakning@havochvatten.se
miljoovervakning@havochvatten.se
miljoovervakning@havochvatten.se
miljoovervakning@havochvatten.se
miljoovervakning@havochvatten.se
miljoovervakning@havochvatten.se
miljoovervakning@havochvatten.se
miljoovervakning@havochvatten.se
miljoovervakning@havochvatten.se
miljoovervakning@havochvatten.se
miljoovervakning@havochvatten.se
References
The monitoring programme is approved by the minister of the environment and available at https://www.envir.ee/et/eesmargid-tegevused/merekeskkonna-kaitse/merestrateegia (https://www.envir.ee/sites/default/files/mereala_seireprogramm_2021_2026.pdf) (in Estonian).
The monitoring programme is approved by the minister of the environment and available at https://www.envir.ee/et/eesmargid-tegevused/merekeskkonna-kaitse/merestrateegia (https://www.envir.ee/sites/default/files/mereala_seireprogramm_2021_2026.pdf) (in Estonian).
The monitoring programme is approved by the minister of the environment and available at https://www.envir.ee/et/eesmargid-tegevused/merekeskkonna-kaitse/merestrateegia (https://www.envir.ee/sites/default/files/mereala_seireprogramm_2021_2026.pdf) (in Estonian).
The monitoring programme is approved by the minister of the environment and available at https://www.envir.ee/et/eesmargid-tegevused/merekeskkonna-kaitse/merestrateegia (https://www.envir.ee/sites/default/files/mereala_seireprogramm_2021_2026.pdf) (in Estonian).
The monitoring programme is approved by the minister of the environment and available at https://www.envir.ee/et/eesmargid-tegevused/merekeskkonna-kaitse/merestrateegia (https://www.envir.ee/sites/default/files/mereala_seireprogramm_2021_2026.pdf) (in Estonian).
The monitoring programme is approved by the minister of the environment and available at https://www.envir.ee/et/eesmargid-tegevused/merekeskkonna-kaitse/merestrateegia (https://www.envir.ee/sites/default/files/mereala_seireprogramm_2021_2026.pdf) (in Estonian).
The monitoring programme is approved by the minister of the environment and available at https://www.envir.ee/et/eesmargid-tegevused/merekeskkonna-kaitse/merestrateegia (https://www.envir.ee/sites/default/files/mereala_seireprogramm_2021_2026.pdf) (in Estonian).
The monitoring programme is approved by the minister of the environment and available at https://www.envir.ee/et/eesmargid-tegevused/merekeskkonna-kaitse/merestrateegia (https://www.envir.ee/sites/default/files/mereala_seireprogramm_2021_2026.pdf) (in Estonian).
The monitoring programme is approved by the minister of the environment and available at https://www.envir.ee/et/eesmargid-tegevused/merekeskkonna-kaitse/merestrateegia (https://www.envir.ee/sites/default/files/mereala_seireprogramm_2021_2026.pdf) (in Estonian).
SFS-EN ISO 16665:2005. Water quality. Guidelines for quantitative sampling and sample processing of marine soft-bottom macrofauna (ISO 16665:2003) HELCOM Combine manual. Annex C-8 Soft bottom macrozoobenthos http://www.helcom.fi/Documents/Action%20areas/Monitoring%20and%20assessment/Manuals%20and%20Guidelines/Manual%20for%20Marine%20Monitoring%20in%20the%20COMBINE%20Programme%20of%20HELCOM_PartC_AnnexC8.pdf Kvantitatiivinen pohjaeläinnäytteenotto. SYKE/MK Sisäinen menetelmä SA301, modifioitu HELCOM-ohjeistuksesta. Pohjaeläinten lajiston, lukumäärän ja biomassan määritys. SYKE/MK Sisäinen menetelmä TA201, modifioitu HELCOM-ohjeistuksesta.
Rannikkovesien pehmeiden pohjien eläinyhteisön seurantaan liittyviä menetelmäohjeistuksia: SFS-EN ISO 16665:2005. Water quality. Guidelines for quantitative sampling and sample processing of marine soft-bottom macrofauna (ISO 16665:2003) SFS 5076:1989. Water quality. Sampling of the bottom fauna on soft bottoms with an Ekman grab. Vesitutkimukset. Pohjaeläinnäytteenotto Ekman-noutimella pehmeiltä pohjilta. SFS-EN ISO 10870:2012 Water quality. Guidelines for the selection of sampling methods and devices for benthic macroinvertebrates in fresh waters (ISO 10870:2012) SFS 5077:1989. Water quality. Handnet sampling of the bottom fauna in running waters. Vesitutkimukset. Pohjaeläinnäytteenotto käsihaavilla virtaavissa vesissä. HELCOM Combine manual. Annex C-8 Soft bottom macrozoobenthos http://www.helcom.fi/Documents/Action%20areas/Monitoring%20and%20assessment/Manuals%20and%20Guidelines/Manual%20for%20Marine%20Monitoring%20in%20the%20COMBINE%20Programme%20of%20HELCOM_PartC_AnnexC8.pdf Lax H-G, Perus J 2008. Pehmeiden pohjien pohjaeläinten ja sedimentin näytteenotto rannikkovesien VPD-seurannassa. Teoksessa Vuori et al. (toim.) Vesienhoitoalueiden biologisten seurantojen järjestäminen ja määritysten hankinta. Suomen ympäristökeskuksen raportteja 35, liite 4 Nygård H, 2018. Pohjaeläinnäytteenotto rannikkovesialueilla. https://www.ymparisto.fi/download/noname/%7BEAA3550F-CB3C-4359-A05C-975152698BDF%7D/141803 Pohjaeläinten lajiston, lukumäärän ja biomassan määritys. SYKE/MK Sisäinen menetelmä TA201, modifioitu HELCOM-ohjeistuksesta.
Holgersson E (2013) Kartering av makrofyter, framtagandet av en klassificeringsmetod för att kunna beräkna ekologisk status för Ålands skärgård och skapandet av ett miljöövervakningsprogram. Rapporter från Husö biologiska station, nr 75. Ruuskanen A, 2014. Rannikkovesien vesipuitedirektiivin mukainen makrofyyttiseuranta. https://www.ymparisto.fi/download/noname/%7B688ED3AE-C8A0-46E6-9919-74273AB55AA4%7D/141802 Saarinen A (2015) Beräkning av ekologisk status för Ålands ytvattenförekomster utgående från kartering av makrofyter: ett förslag till övervakningsprogram och harmonisering av metoder mellan Åland och Finland. Rapporter från Husö biologiska station, nr 75. SFS-EN ISO 19493:2007. Water quality. Guidance on marine biological surveys of hard-substrate communities (ISO 19493:2007) SFS-EN 16260:2012 Water quality – Visual seabed surveys ROV using remotely operated and/or towed observation gear for collection of environmental data VELMU-menetelmäohjeistus - https://www.ymparisto.fi/en-us/VELMU HELCOM Combine manual. Annex C-9 Guidelines for monitoring of phytobenthic plant and animal communities in the Baltic Sea http://www.helcom.fi/Documents/Action%20areas/Monitoring%20and%20assessment/Manuals%20and%20Guidelines/Manual%20for%20Marine%20Monitoring%20in%20the%20COMBINE%20Programme%20of%20HELCOM_PartC_AnnexC9.pdf
VELMU - https://www.environment.fi/en-US/VELMU Åbo Akademi - http://urn.fi/URN:ISBN:978-952-12-3309-8
Hario, M. & Rintala J. 2011. Saaristolintukantojen kehitys Suomessa 1986 –2010. – Linnut vuosikirja 2010: 40 – 51
Hario, M., Lammi, E., Mikkola, M. & Södersved, J. 1993: Ovatko Ahvenanmaan vesilinnut "talvenkärkkyjiä" – kansainvälisten vesilintulaskentojen tuloksia vuosilta 1968-92. – Suomen Riista 39: 21– 32. Hario, M., Lammi, E., Mikkola, M., Södersved, J. 1995: January counts of waterfowl in SW Finland: the dependence on ice situation. – Ring 15 (1–2): 216 –222. HELCOM (2015), HELCOM guidelines for coordinated monitoring of wintering birds. 13 s. Koskimies & Väisänen (1991): Monitoring Bird Populations – A Manual of Methods Applied in Finland. – Zoological Museum, Finnish Museum of Natural History, University of Helsinki. Lehikoinen, A., Kuntze, K., Lehtiniemi, T. Mikkola-Roos, M. & Toivanen, T. 2017: Suomen keskitalven vesilintukantojen kannanarviot vuonna 2016 - muuttuva Suomi osana kansainvälistä seurantaa. - Linnut vuosikirja 2016:6-15.
Stjernberg, T., Koivusaari, J., Högmander, J., Nuuja, I. & Lokki, H. 2011: Suomen merikotkat 2009 –2010. – Linnut-vuosikirja 2010: 18 –27. https://helcom.fi/media/core%20indicators/White-tailed-sea-eagle-productivity-HELCOM-core-indicator-2018.pdf
Härkönen, T and S. G. Lunneryd 1992. Estimating abundance of ringed seals in the Bothnian Bay. Ambio 21:497-510. Härkönen, T., O. Stenman, M. Jüssi, I. Jüssi, R. Sagitov and M. Verevkin 1998. Population size and distribution of the Baltic ringed seal (Phoca hispida botnica). In: Ringed Seals (Phoca hispida) in the North Atlantic. Edited by C.Lydersen and M.P. Heide-Jørgensen. NAMMCO Scientific Publications, Vol. 1, 167–180.
Boyd, I. L. 1984. Development and regression of the corpus luteum in grey seal (Halichoerus grypus) ovaries and its use in determining fertility rates. – Canadian Journal of Zoology 62: 1095 –1100. Boyd, I. L., Lockyer, C. & Marsh, H. D. 1999. Reproduction in marine mammals. – In: Reynolds, J. E. & Rommel, S. A. (eds.), Biology of marine mammals: 218 –286. Smithsonian Institution Press, Washington. HELCOM, 2018a. Reproductive status of marine mammals. HELCOM core indicator report. Online. http://www.helcom.fi/baltic-sea-trends/indicators/reproductive-status-of-seals/ HELCOM, 2018b. Nutritional status of seals. HELCOM Core Indicator Report. Online. http://www.helcom.fi/Core%20Indicators/Nutritional%20status%20of%20seals%20HELCOM%20core%20indicator%202018.pdf Kauhala, K., Ahola, M. P. & Kunnasranta, M. 2012. Demographic structure and mortality rate of a Baltic grey seal population at different stages of population change, judged on the basis of the hunting bag in Finland. – Annales Zoologici Fennici 49: 287– 305. Kauhala, K. & Kunnasranta, M. 2012. Hallisaaliin määrä ja rakenne Suomen merialueilla. – Suomen Riista 58: 7–15. Kauhala, K., Kunnasranta, M. & Valtonen, M. 2011. Hallien ravinto Suomen merialueilla 2001–2007 – alustava selvitys. – Suomen Riista 57: 73 – 83. Kauhala, K., Ahola, M. P. & Kunnasranta, M. 2014: Decline in the pregnancy rate of Baltic grey seal females during the 2000s. – Annales Zoologici Fennici 51: 313–324. Kauhala, K., Bäcklin, B-M., Harding, K. & Raitaniemi, J. 2017: The effect of prey quality and ice conditions on the nutritional status of Baltic gray seals of different age groups. – Mammal Research 62: 351‒362. Kauhala, K., Korpinen, S., Lehtiniemi, M. & Raitaniemi, J. 2019: Reproductive rate of a top predator, the grey seal, as an indicator of the changes in the Baltic food web. – Ecological Indicators 102: 693–703. Kauhala, K. & Kurkilahti, M. 2019: Delayed effects of pup environment on adult size and reproductive rate of Baltic grey sealsMammal Research https://doi.org/10.1007/s13364-019-00454-1
Boyd, I. L. 1984. Development and regression of the corpus luteum in grey seal (Halichoerus grypus) ovaries and its use in determining fertility rates. – Canadian Journal of Zoology 62: 1095 –1100. Boyd, I. L., Lockyer, C. & Marsh, H. D. 1999. Reproduction in marine mammals. – In: Reynolds, J. E. & Rommel, S. A. (eds.), Biology of marine mammals: 218 –286. Smithsonian Institution Press, Washington. HELCOM, 2018a. Reproductive status of marine mammals. HELCOM core indicator report. Online. http://www.helcom.fi/baltic-sea-trends/indicators/reproductive-status-of-seals/ HELCOM, 2018b. Nutritional status of seals. HELCOM Core Indicator Report. Online. http://www.helcom.fi/Core%20Indicators/Nutritional%20status%20of%20seals%20HELCOM%20core%20indicator%202018.pdf Kauhala, K., Ahola, M. P. & Kunnasranta, M. 2012. Demographic structure and mortality rate of a Baltic grey seal population at different stages of population change, judged on the basis of the hunting bag in Finland. – Annales Zoologici Fennici 49: 287– 305. Kauhala, K. & Kunnasranta, M. 2012. Hallisaaliin määrä ja rakenne Suomen merialueilla. – Suomen Riista 58: 7–15. Kauhala, K., Kunnasranta, M. & Valtonen, M. 2011. Hallien ravinto Suomen merialueilla 2001–2007 – alustava selvitys. – Suomen Riista 57: 73 – 83. Kauhala, K., Ahola, M. P. & Kunnasranta, M. 2014: Decline in the pregnancy rate of Baltic grey seal females during the 2000s. – Annales Zoologici Fennici 51: 313–324. Kauhala, K., Bäcklin, B-M., Harding, K. & Raitaniemi, J. 2017: The effect of prey quality and ice conditions on the nutritional status of Baltic gray seals of different age groups. – Mammal Research 62: 351‒362. Kauhala, K., Korpinen, S., Lehtiniemi, M. & Raitaniemi, J. 2019: Reproductive rate of a top predator, the grey seal, as an indicator of the changes in the Baltic food web. – Ecological Indicators 102: 693–703. Kauhala, K. & Kurkilahti, M. 2019: Delayed effects of pup environment on adult size and reproductive rate of Baltic grey sealsMammal Research https://doi.org/10.1007/s13364-019-00454-1
HELCOM Combine - https://helcom.fi/media/publications/Guidelines-for-monitoring-of-mesozooplankton.pdf
Aroviita, J., Mitikka, S., Vienonen S. (toim.) 2019: Pintavesien tilan luokittelu ja arviointiperusteet vesienhoidon kolmannella kaudella. Suomen ympäristökeskuksen raportteja 37 / 2019. HELCOM 2017: Monitoring of phytoplankton species composition, abundance and biomass.
Hario, M., Hokkanen, T., Malkio, H. 1993. Itäisen Suomenlahden lintukuolemat. – Suomen Riista 39:7–20 Suleva, E. & Rintala, J. 2013. Ruokkilinnut Itämeren tilan indikaattoreina. Helsinki: RKTL:n työraportteja 1/2013. Riista- ja kalatalouden tutkimuslaitos. ISBN: 978-951-776-945-7. Mikkola-Roos, M. , Below, A., Lehikoinen, A & Rintala, J. 2018: Meriympäristön tila 2011-2016 : Merilinnut. Julk.: Korpinen, S., Laamanen, M., Suomela, J., Paavilainen, P., Lahtinen, T. & Ekebom, J. 2018. (toim.) Suomen meriympäristön tila 2018. Helsinki, Suomen ympäristökeskus. Ss. 198-207. SYKE:n julkaisuja 2018, 4. ISBN 978-952-11-4967-2 (nid.), 978-952-11-4968-9 (PDF), ISSN 2323-8895, (painettu), 2323-8909 (verkkojulkaisu). 2018: http://hdl.handle.net/10138/274086