Member State report / Art11 / 2020 / D5 / Croatia / Mediterranean: Adriatic Sea

Report type Member State report to Commission
MSFD Article Art. 11 Monitoring programmes (and Art. 17 updates)
Report due 2020-10-15
GES Descriptor D5 Eutrophication
Member State Croatia
Region/subregion Mediterranean: Adriatic Sea
Reported by Institute of Oceanography and Fisheries
Report date 2020-10-15
Report access

Descriptor
D5
D5
D5
D5
D5
D5
D5
D5
D5
D5
D5
D5
D5
Monitoring strategy description
The Driver-Pressure-State-Impact-Response (DPSIR) approach considers human activities as an integral part of the ecosystem. Main drivers for eutrophication are agriculture and livestock, aquaculture, fishery and tourism. As a pressure of these activities, nutrienst concentration were measured, while microalgal biomass and oxygen concentration were used for assessment of impact. Responses include measures against nutrient loading.
The Driver-Pressure-State-Impact-Response (DPSIR) approach considers human activities as an integral part of the ecosystem. Main drivers for eutrophication are agriculture and livestock, aquaculture, fishery and tourism. As a pressure of these activities, nutrienst concentration were measured, while microalgal biomass and oxygen concentration were used for assessment of impact. Responses include measures against nutrient loading.
The Driver-Pressure-State-Impact-Response (DPSIR) approach considers human activities as an integral part of the ecosystem. Main drivers for eutrophication are agriculture and livestock, aquaculture, fishery and tourism. As a pressure of these activities, nutrienst concentration were measured, while microalgal biomass and oxygen concentration were used for assessment of impact. Responses include measures against nutrient loading.
The Driver-Pressure-State-Impact-Response (DPSIR) approach considers human activities as an integral part of the ecosystem. Main drivers for eutrophication are agriculture and livestock, aquaculture, fishery and tourism. As a pressure of these activities, nutrienst concentration were measured, while microalgal biomass and oxygen concentration were used for assessment of impact. Responses include measures against nutrient loading.
The Driver-Pressure-State-Impact-Response (DPSIR) approach considers human activities as an integral part of the ecosystem. Main drivers for eutrophication are agriculture and livestock, aquaculture, fishery and tourism. As a pressure of these activities, nutrienst concentration were measured, while microalgal biomass and oxygen concentration were used for assessment of impact. Responses include measures against nutrient loading.
The Driver-Pressure-State-Impact-Response (DPSIR) approach considers human activities as an integral part of the ecosystem. Main drivers for eutrophication are agriculture and livestock, aquaculture, fishery and tourism. As a pressure of these activities, nutrienst concentration were measured, while microalgal biomass and oxygen concentration were used for assessment of impact. Responses include measures against nutrient loading.
The Driver-Pressure-State-Impact-Response (DPSIR) approach considers human activities as an integral part of the ecosystem. Main drivers for eutrophication are agriculture and livestock, aquaculture, fishery and tourism. As a pressure of these activities, nutrienst concentration were measured, while microalgal biomass and oxygen concentration were used for assessment of impact. Responses include measures against nutrient loading.
The Driver-Pressure-State-Impact-Response (DPSIR) approach considers human activities as an integral part of the ecosystem. Main drivers for eutrophication are agriculture and livestock, aquaculture, fishery and tourism. As a pressure of these activities, nutrienst concentration were measured, while microalgal biomass and oxygen concentration were used for assessment of impact. Responses include measures against nutrient loading.
The Driver-Pressure-State-Impact-Response (DPSIR) approach considers human activities as an integral part of the ecosystem. Main drivers for eutrophication are agriculture and livestock, aquaculture, fishery and tourism. As a pressure of these activities, nutrienst concentration were measured, while microalgal biomass and oxygen concentration were used for assessment of impact. Responses include measures against nutrient loading.
The Driver-Pressure-State-Impact-Response (DPSIR) approach considers human activities as an integral part of the ecosystem. Main drivers for eutrophication are agriculture and livestock, aquaculture, fishery and tourism. As a pressure of these activities, nutrienst concentration were measured, while microalgal biomass and oxygen concentration were used for assessment of impact. Responses include measures against nutrient loading.
The Driver-Pressure-State-Impact-Response (DPSIR) approach considers human activities as an integral part of the ecosystem. Main drivers for eutrophication are agriculture and livestock, aquaculture, fishery and tourism. As a pressure of these activities, nutrienst concentration were measured, while microalgal biomass and oxygen concentration were used for assessment of impact. Responses include measures against nutrient loading.
The Driver-Pressure-State-Impact-Response (DPSIR) approach considers human activities as an integral part of the ecosystem. Main drivers for eutrophication are agriculture and livestock, aquaculture, fishery and tourism. As a pressure of these activities, nutrienst concentration were measured, while microalgal biomass and oxygen concentration were used for assessment of impact. Responses include measures against nutrient loading.
The Driver-Pressure-State-Impact-Response (DPSIR) approach considers human activities as an integral part of the ecosystem. Main drivers for eutrophication are agriculture and livestock, aquaculture, fishery and tourism. As a pressure of these activities, nutrienst concentration were measured, while microalgal biomass and oxygen concentration were used for assessment of impact. Responses include measures against nutrient loading.
Coverage of GES criteria
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
Gaps and plans
Provide funds for regular monitoring programme implementation.
Provide funds for regular monitoring programme implementation.
Provide funds for regular monitoring programme implementation.
Provide funds for regular monitoring programme implementation.
Provide funds for regular monitoring programme implementation.
Provide funds for regular monitoring programme implementation.
Provide funds for regular monitoring programme implementation.
Provide funds for regular monitoring programme implementation.
Provide funds for regular monitoring programme implementation.
Provide funds for regular monitoring programme implementation.
Provide funds for regular monitoring programme implementation.
Provide funds for regular monitoring programme implementation.
Provide funds for regular monitoring programme implementation.
Related targets
  • D5T1
  • D5T2
  • D5T3
  • D5T1
  • D5T2
  • D5T3
  • D5T1
  • D5T2
  • D5T3
  • D5T1
  • D5T2
  • D5T3
  • D5T1
  • D5T2
  • D5T3
  • D5T1
  • D5T2
  • D5T3
  • D5T1
  • D5T2
  • D5T3
  • D5T1
  • D5T2
  • D5T3
  • D5T1
  • D5T2
  • D5T3
  • D5T1
  • D5T2
  • D5T3
  • D5T1
  • D5T2
  • D5T3
  • D5T1
  • D5T2
  • D5T3
  • D5T1
  • D5T2
  • D5T3
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 by 2018
Adequate monitoring was in place by 2018
Adequate monitoring was in place by 2018
Adequate monitoring was in place by 2018
Related measures
Coverage of measures
Related monitoring programmes
  • MADHR-D01-05
  • MADHR-D05-01
  • MADHR-D05-02
  • MADHR-D05-05
  • MADHR-D07-05
  • MADHR-D01-05
  • MADHR-D05-01
  • MADHR-D05-02
  • MADHR-D05-05
  • MADHR-D07-05
  • MADHR-D01-05
  • MADHR-D05-01
  • MADHR-D05-02
  • MADHR-D05-05
  • MADHR-D07-05
  • MADHR-D01-05
  • MADHR-D05-01
  • MADHR-D05-02
  • MADHR-D05-05
  • MADHR-D07-05
  • MADHR-D01-05
  • MADHR-D05-01
  • MADHR-D05-02
  • MADHR-D05-05
  • MADHR-D07-05
  • MADHR-D01-05
  • MADHR-D05-01
  • MADHR-D05-02
  • MADHR-D05-05
  • MADHR-D07-05
  • MADHR-D01-05
  • MADHR-D05-01
  • MADHR-D05-02
  • MADHR-D05-05
  • MADHR-D07-05
  • MADHR-D01-05
  • MADHR-D05-01
  • MADHR-D05-02
  • MADHR-D05-05
  • MADHR-D07-05
  • MADHR-D01-05
  • MADHR-D05-01
  • MADHR-D05-02
  • MADHR-D05-05
  • MADHR-D07-05
  • MADHR-D01-05
  • MADHR-D05-01
  • MADHR-D05-02
  • MADHR-D05-05
  • MADHR-D07-05
  • MADHR-D01-05
  • MADHR-D05-01
  • MADHR-D05-02
  • MADHR-D05-05
  • MADHR-D07-05
  • MADHR-D01-05
  • MADHR-D05-01
  • MADHR-D05-02
  • MADHR-D05-05
  • MADHR-D07-05
  • MADHR-D01-05
  • MADHR-D05-01
  • MADHR-D05-02
  • MADHR-D05-05
  • MADHR-D07-05
Programme code
MADHR-D01-05
MADHR-D01-05
MADHR-D01-05
MADHR-D01-05
MADHR-D01-05
MADHR-D01-05
MADHR-D01-05
MADHR-D01-05
MADHR-D05-01
MADHR-D05-02
MADHR-D05-05
MADHR-D07-05
MADHR-D07-05
Programme name
Pelagic habitats - community characteristics
Pelagic habitats - community characteristics
Pelagic habitats - community characteristics
Pelagic habitats - community characteristics
Pelagic habitats - community characteristics
Pelagic habitats - community characteristics
Pelagic habitats - community characteristics
Pelagic habitats - community characteristics
Nutrient levels - in water column
Plankton blooms (biomass, frequency)
Water column - chemical characteristics
Water column - hydrological characteristics
Water column - hydrological characteristics
Update type
Modified from 2014
Modified from 2014
Modified from 2014
Modified from 2014
Modified from 2014
Modified from 2014
Modified from 2014
Modified from 2014
Same programme as in 2014
Same programme as in 2014
Same programme as in 2014
Modified from 2014
Modified from 2014
Old programme codes
  • MADHR-D014-05
  • MADHR-D014-05
  • MADHR-D014-05
  • MADHR-D014-05
  • MADHR-D014-05
  • MADHR-D014-05
  • MADHR-D014-05
  • MADHR-D014-05
  • MADHR-D07-01
  • MADHR-D07-02
  • MADHR-D07-01
  • MADHR-D07-02
Programme description
Plankton (microscopic plants and animals) play a fundamental role in the marine food web. Planktonic species generally have short life cycles and respond quickly to environmental changes and thus require spatially and temporally denser monitoring than species with longer life span and slower reproduction. Apart from the variations dependent on prevailing natural conditions and climate change, plankton communities are also impacted by human pressures, such as eutrophication, introduction of non-indigenous species and fisheries. The proposed indicators (biodiversity-based and stock-based) aim to discriminate changes in the plankton communities of the Croatian Adriatic due to human pressure from those caused by natural spatial-temporal variability. Sampling sites along the eastern Adriatic coast encompass open and coastal waters, with coastal sites reflecting areas under anthropogenic pressures. The samples collected will provide information on community composition and species abundances. Monitoring of plankton communities contributes to demonstrating the achievement of GES in the pelagic habitat, reflecting not only on the plankton but also on other species and habitats.
Plankton (microscopic plants and animals) play a fundamental role in the marine food web. Planktonic species generally have short life cycles and respond quickly to environmental changes and thus require spatially and temporally denser monitoring than species with longer life span and slower reproduction. Apart from the variations dependent on prevailing natural conditions and climate change, plankton communities are also impacted by human pressures, such as eutrophication, introduction of non-indigenous species and fisheries. The proposed indicators (biodiversity-based and stock-based) aim to discriminate changes in the plankton communities of the Croatian Adriatic due to human pressure from those caused by natural spatial-temporal variability. Sampling sites along the eastern Adriatic coast encompass open and coastal waters, with coastal sites reflecting areas under anthropogenic pressures. The samples collected will provide information on community composition and species abundances. Monitoring of plankton communities contributes to demonstrating the achievement of GES in the pelagic habitat, reflecting not only on the plankton but also on other species and habitats.
Plankton (microscopic plants and animals) play a fundamental role in the marine food web. Planktonic species generally have short life cycles and respond quickly to environmental changes and thus require spatially and temporally denser monitoring than species with longer life span and slower reproduction. Apart from the variations dependent on prevailing natural conditions and climate change, plankton communities are also impacted by human pressures, such as eutrophication, introduction of non-indigenous species and fisheries. The proposed indicators (biodiversity-based and stock-based) aim to discriminate changes in the plankton communities of the Croatian Adriatic due to human pressure from those caused by natural spatial-temporal variability. Sampling sites along the eastern Adriatic coast encompass open and coastal waters, with coastal sites reflecting areas under anthropogenic pressures. The samples collected will provide information on community composition and species abundances. Monitoring of plankton communities contributes to demonstrating the achievement of GES in the pelagic habitat, reflecting not only on the plankton but also on other species and habitats.
Plankton (microscopic plants and animals) play a fundamental role in the marine food web. Planktonic species generally have short life cycles and respond quickly to environmental changes and thus require spatially and temporally denser monitoring than species with longer life span and slower reproduction. Apart from the variations dependent on prevailing natural conditions and climate change, plankton communities are also impacted by human pressures, such as eutrophication, introduction of non-indigenous species and fisheries. The proposed indicators (biodiversity-based and stock-based) aim to discriminate changes in the plankton communities of the Croatian Adriatic due to human pressure from those caused by natural spatial-temporal variability. Sampling sites along the eastern Adriatic coast encompass open and coastal waters, with coastal sites reflecting areas under anthropogenic pressures. The samples collected will provide information on community composition and species abundances. Monitoring of plankton communities contributes to demonstrating the achievement of GES in the pelagic habitat, reflecting not only on the plankton but also on other species and habitats.
Plankton (microscopic plants and animals) play a fundamental role in the marine food web. Planktonic species generally have short life cycles and respond quickly to environmental changes and thus require spatially and temporally denser monitoring than species with longer life span and slower reproduction. Apart from the variations dependent on prevailing natural conditions and climate change, plankton communities are also impacted by human pressures, such as eutrophication, introduction of non-indigenous species and fisheries. The proposed indicators (biodiversity-based and stock-based) aim to discriminate changes in the plankton communities of the Croatian Adriatic due to human pressure from those caused by natural spatial-temporal variability. Sampling sites along the eastern Adriatic coast encompass open and coastal waters, with coastal sites reflecting areas under anthropogenic pressures. The samples collected will provide information on community composition and species abundances. Monitoring of plankton communities contributes to demonstrating the achievement of GES in the pelagic habitat, reflecting not only on the plankton but also on other species and habitats.
Plankton (microscopic plants and animals) play a fundamental role in the marine food web. Planktonic species generally have short life cycles and respond quickly to environmental changes and thus require spatially and temporally denser monitoring than species with longer life span and slower reproduction. Apart from the variations dependent on prevailing natural conditions and climate change, plankton communities are also impacted by human pressures, such as eutrophication, introduction of non-indigenous species and fisheries. The proposed indicators (biodiversity-based and stock-based) aim to discriminate changes in the plankton communities of the Croatian Adriatic due to human pressure from those caused by natural spatial-temporal variability. Sampling sites along the eastern Adriatic coast encompass open and coastal waters, with coastal sites reflecting areas under anthropogenic pressures. The samples collected will provide information on community composition and species abundances. Monitoring of plankton communities contributes to demonstrating the achievement of GES in the pelagic habitat, reflecting not only on the plankton but also on other species and habitats.
Plankton (microscopic plants and animals) play a fundamental role in the marine food web. Planktonic species generally have short life cycles and respond quickly to environmental changes and thus require spatially and temporally denser monitoring than species with longer life span and slower reproduction. Apart from the variations dependent on prevailing natural conditions and climate change, plankton communities are also impacted by human pressures, such as eutrophication, introduction of non-indigenous species and fisheries. The proposed indicators (biodiversity-based and stock-based) aim to discriminate changes in the plankton communities of the Croatian Adriatic due to human pressure from those caused by natural spatial-temporal variability. Sampling sites along the eastern Adriatic coast encompass open and coastal waters, with coastal sites reflecting areas under anthropogenic pressures. The samples collected will provide information on community composition and species abundances. Monitoring of plankton communities contributes to demonstrating the achievement of GES in the pelagic habitat, reflecting not only on the plankton but also on other species and habitats.
Plankton (microscopic plants and animals) play a fundamental role in the marine food web. Planktonic species generally have short life cycles and respond quickly to environmental changes and thus require spatially and temporally denser monitoring than species with longer life span and slower reproduction. Apart from the variations dependent on prevailing natural conditions and climate change, plankton communities are also impacted by human pressures, such as eutrophication, introduction of non-indigenous species and fisheries. The proposed indicators (biodiversity-based and stock-based) aim to discriminate changes in the plankton communities of the Croatian Adriatic due to human pressure from those caused by natural spatial-temporal variability. Sampling sites along the eastern Adriatic coast encompass open and coastal waters, with coastal sites reflecting areas under anthropogenic pressures. The samples collected will provide information on community composition and species abundances. Monitoring of plankton communities contributes to demonstrating the achievement of GES in the pelagic habitat, reflecting not only on the plankton but also on other species and habitats.
Eutrophication in the Croatian part of the Adriatic Sea is mainly manifested at the local level. Areas under significant anthropogenic influence have unresolved urban waste water drainage system. Within reporting units are sampling stations for the parameters of the criteria within Descriptor 5. In the open sea area, the following stations are proposed: in the northern part Adriatic on the profile of the Po river delta - Rovinj (North Adriatic profile), the middle Adriatic Šibenik - Ortona (Jabuka profile), Split - Gargano (Palagruža profile), and the southern part of the Adriatic along the profile Dubrovnik - Bari (South Adriatic profile). In coastal area, locations have been proposed that are part of the regular monitoring of the state of the Adriatic according to the WFD (2000/60 / EC) which include sites under anthropogenic pressure such as the Gulf of Rijeka and Bakar, the Port of Pula, the western coast of Istria, Bay of Šibenik, Bay of Kaštela and the mouth of the river Neretva.
Eutrophication in the Croatian part of the Adriatic Sea is mainly manifested at the local level. Areas under significant anthropogenic influence have unresolved urban waste water drainage system. Within reporting units are sampling stations for the parameters of the criteria within Descriptor 5. In the open sea area, the following stations are proposed: in the northern part Adriatic on the profile of the Po river delta - Rovinj (North Adriatic profile), the middle Adriatic Šibenik - Ortona (Jabuka profile), Split - Gargano (Palagruža profile), and the southern part of the Adriatic along the profile Dubrovnik - Bari (South Adriatic profile). In coastal area, locations have been proposed that are part of the regular monitoring of the state of the Adriatic according to the WFD (2000/60 / EC) which include sites under anthropogenic pressure such as the Gulf of Rijeka and Bakar, the Port of Pula, the western coast of Istria, Bay of Šibenik, Bay of Kaštela and the mouth of the river Neretva.
Eutrophication in the Croatian part of the Adriatic Sea is mainly manifested at the local level. Areas under significant anthropogenic influence have unresolved urban waste water drainage system. Within reporting units are sampling stations for the parameters of the criteria within Descriptor 5. In the open sea area, the following stations are proposed: in the northern part Adriatic on the profile of the Po river delta - Rovinj (North Adriatic profile), the middle Adriatic Šibenik - Ortona (Jabuka profile), Split - Gargano (Palagruža profile), and the southern part of the Adriatic along the profile Dubrovnik - Bari (South Adriatic profile). In coastal area, locations have been proposed that are part of the regular monitoring of the state of the Adriatic according to the WFD (2000/60 / EC) which include sites under anthropogenic pressure such as the Gulf of Rijeka and Bakar, the Port of Pula, the western coast of Istria, Bay of Šibenik, Bay of Kaštela and the mouth of the river Neretva.
In the Adriatic Sea, spatially and timely significant changes in the temperature, salinity and transparency are key parameters that determine dynamics of ecosystems.In the Adriatic Sea, the observed significant changes in temperature and salinity, and hence the change of water masses and thermohaline circulation have been caused by sudden change of climate in the northern hemisphere. These changes can have permanent effects on the ecosystem by changing the composition and relationships in the food chain. The consequences of these changes are different along the coast and on the open seas because the hydrographic conditions are different.
In the Adriatic Sea, spatially and timely significant changes in the temperature, salinity and transparency are key parameters that determine dynamics of ecosystems.In the Adriatic Sea, the observed significant changes in temperature and salinity, and hence the change of water masses and thermohaline circulation have been caused by sudden change of climate in the northern hemisphere. These changes can have permanent effects on the ecosystem by changing the composition and relationships in the food chain. The consequences of these changes are different along the coast and on the open seas because the hydrographic conditions are different.
Monitoring purpose
  • Environmental state and impacts
  • Environmental state and impacts
  • Environmental state and impacts
  • Environmental state and impacts
  • Environmental state and impacts
  • Environmental state and impacts
  • Environmental state and impacts
  • Environmental state and impacts
  • Pressures in the marine environment
  • Environmental state and impacts
  • Environmental state and impacts
  • Environmental state and impacts
  • Environmental state and impacts
Other policies and conventions
  • Water Framework Directive
  • Water Framework Directive
  • Water Framework Directive
  • Water Framework Directive
  • Water Framework Directive
  • Water Framework Directive
  • Water Framework Directive
  • Water Framework Directive
  • Water Framework Directive
  • Water Framework Directive
  • Water Framework Directive
  • Water Framework Directive
  • Water Framework Directive
Regional cooperation - coordinating body
Regional cooperation - countries involved
Regional cooperation - implementation level
Monitoring details
Frequency: Phytoplankton: Profiles of middle and northern Adriatic minimal 10 times a year. Lim, Bakar, ZOI 7 times a year. The rest 4 times a year Zooplankton: minimum 2 x per year
Frequency: Phytoplankton: Profiles of middle and northern Adriatic minimal 10 times a year. Lim, Bakar, ZOI 7 times a year. The rest 4 times a year Zooplankton: minimum 2 x per year
Frequency: Phytoplankton: Profiles of middle and northern Adriatic minimal 10 times a year. Lim, Bakar, ZOI 7 times a year. The rest 4 times a year Zooplankton: minimum 2 x per year
Frequency: Phytoplankton: Profiles of middle and northern Adriatic minimal 10 times a year. Lim, Bakar, ZOI 7 times a year. The rest 4 times a year Zooplankton: minimum 2 x per year
Frequency: Phytoplankton: Profiles of middle and northern Adriatic minimal 10 times a year. Lim, Bakar, ZOI 7 times a year. The rest 4 times a year Zooplankton: minimum 2 x per year
Frequency: Phytoplankton: Profiles of middle and northern Adriatic minimal 10 times a year. Lim, Bakar, ZOI 7 times a year. The rest 4 times a year Zooplankton: minimum 2 x per year
Frequency: Phytoplankton: Profiles of middle and northern Adriatic minimal 10 times a year. Lim, Bakar, ZOI 7 times a year. The rest 4 times a year Zooplankton: minimum 2 x per year
Frequency: Phytoplankton: Profiles of middle and northern Adriatic minimal 10 times a year. Lim, Bakar, ZOI 7 times a year. The rest 4 times a year Zooplankton: minimum 2 x per year
Temperatures, salinity and transparency will be measured in coastal waters four times a year, and more often if necessary, and certainly as much as predicted by Descriptor D5, along the Split - Gargano profile (Palagruža profile) measurements would be performed once a month (10 times a year) , and in the South Adriatic and on the Jabučki profile measurements would be carried out 4 times a year (seasonally). In the northern Adriatic at the eastern stations of the profile from Rovinj to the mouth of the river Po measurements should perform at least 6 times a year, and more often if necessary, and certainly as much as provided by Descriptor D5. The amount of suspended matter will be sampled in the surface and bottom layers of the water column and at a depth of 10 m during field trips.
Temperatures, salinity and transparency will be measured in coastal waters four times a year, and more often if necessary, and certainly as much as predicted by Descriptor D5, along the Split - Gargano profile (Palagruža profile) measurements would be performed once a month (10 times a year) , and in the South Adriatic and on the Jabučki profile measurements would be carried out 4 times a year (seasonally). In the northern Adriatic at the eastern stations of the profile from Rovinj to the mouth of the river Po measurements should perform at least 6 times a year, and more often if necessary, and certainly as much as provided by Descriptor D5. The amount of suspended matter will be sampled in the surface and bottom layers of the water column and at a depth of 10 m during field trips.
Features
Other pelagic habitats
Coastal ecosystems
Shelf ecosystems
Coastal ecosystems
Shelf ecosystems
Coastal ecosystems
Shelf ecosystems
Eutrophication
Eutrophication
Eutrophication
Eutrophication
Eutrophication
Hydrographical changes
Elements
  • Phytoplankton communities
  • Zooplankton communities
  • Primary producers
  • Secondary producers
  • Primary producers
  • Secondary producers
  • Primary producers
  • Secondary producers
  • Primary producers
  • Secondary producers
  • Primary producers
  • Secondary producers
  • Primary producers
  • Secondary producers
  • Phytoplankton communities
  • DIN
  • DIP
  • TN
  • TP
  • Chlorophyll-a
  • Dissolved oxygen (O2)
  • Photic limit
  • Salinity
  • Temperature
  • Transparency
GES criteria
D1C6
D4C1
D4C1
D4C2
D4C2
D4C4
D4C4
D5C3
D5C1
D5C2
D5C5
D5C4
D7C1
Parameters
  • Other
  • Other
  • Other
  • Abundance (number of individuals)
  • Biomass
  • Abundance (number of individuals)
  • Biomass
  • Productivity
  • Productivity
  • Frequency
  • Concentration in water
  • Concentration in water
  • Concentration in water
  • Transparency of water
  • Extent
Parameter Other
Abundance/Biomass, species composition
Species composition
Species composition
Spatial scope
  • Territorial waters
  • Territorial waters
  • Territorial waters
  • Territorial waters
  • Territorial waters
  • Territorial waters
  • Territorial waters
  • Territorial waters
  • Coastal waters (WFD)
  • Territorial waters
  • Coastal waters (WFD)
  • Territorial waters
  • Coastal waters (WFD)
  • Territorial waters
  • Territorial waters
  • Territorial waters
Marine reporting units
  • MAD-HR-MRU_1
  • MAD-HR-MRU_1
  • MAD-HR-MRU_1
  • MAD-HR-MRU_1
  • MAD-HR-MRU_1
  • MAD-HR-MRU_1
  • MAD-HR-MRU_1
  • MAD-HR-MRU_1
  • MAD-HR-MRU_2
  • MAD-HR-MRU_3
  • MAD-HR-MRU_4
  • MAD-HR-MRU_5
  • MAD-HR-MRU_2
  • MAD-HR-MRU_3
  • MAD-HR-MRU_4
  • MAD-HR-MRU_5
  • MAD-HR-MRU_2
  • MAD-HR-MRU_3
  • MAD-HR-MRU_4
  • MAD-HR-MRU_5
  • MAD-HR-MRU_1
  • MAD-HR-MRU_1
Temporal scope (start date - end date)
2021-2026
2021-2026
2021-2026
2021-2026
2021-2026
2021-2026
2021-2026
2021-2026
2021-2026
2021-2026
2021-2026
2021-2026
2021-2026
Monitoring frequency
Other
Other
Other
Other
Other
Other
Other
Other
6-yearly
6-yearly
6-yearly
Other
Other
Monitoring type
  • 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 offshore
  • Numerical modelling
  • In-situ sampling coastal
  • In-situ sampling offshore
  • Numerical modelling
  • In-situ sampling coastal
  • In-situ sampling offshore
  • Numerical modelling
  • In-situ sampling coastal
  • In-situ sampling offshore
  • Numerical modelling
  • In-situ sampling coastal
  • In-situ sampling offshore
  • Numerical modelling
Monitoring method
  • Other monitoring method
  • Other monitoring method
  • Other monitoring method
  • Other monitoring method
  • Other monitoring method
  • Other monitoring method
  • Other monitoring method
  • Other monitoring method
  • WFD Guidance document n.° 7 - Monitoring under the Water Framework Directive (monitoring framework)
  • WFD Guidance document n.° 7 - Monitoring under the Water Framework Directive (monitoring framework)
  • WFD Guidance document n.° 7 - Monitoring under the Water Framework Directive (monitoring framework)
  • Other monitoring method
  • Other monitoring method
Monitoring method other
Roger Harris, Peter Wiebe, Jürgen Lenz, Hein Rune Skjoldal and Mark Huntley. 2000. ICES Zooplankton Methodology Manual Utermöhl, von H. 1931. Neue Wege in der quantitativen Erfassung des Planktons. (Mit besondere Beriicksichtigung des Ultraplanktons). Verh. Int. Verein. Theor. Angew. Limnol., 5, 567–595. Marie, D., Partensky, F., Jacquet, S., Vaulot, D., (1997). Enumeration and cell cycle analysis of natural populations of marine picoplankton by flow cytometry using the nucleic acid stain SYBR Green I. Appl. Environ. Microb., 63, 186-193. Marie, D., Brussaard, C., Partensky, F., Vaulot, D. 1999. Flow cytometric analysis of phytoplankton, bacteria and viruses. In Current Protocols in Cytometry. John Wiley & Sons, Inc., pp. 11.11.1- 11.11.15. Fuhrman, J.A., Azam, F. (1982) Thymidine incorporation as a measure of heterotrophic bacterioplankton production in marine surface waters: evaluation and field results. Mar. Biol., 66, 109-120. doi: 10.1007/BF00397184 Sampling procedure has been described in Marasovic I., Krstulovic, N., Leder, N., Loncar, G., Precali, R., Šolic, M., Loncar,.G., Beg- Paklar, G., Bojanic, N., Cvitkovic, I., Dadic, V., Despalatovic, M., Dulcic, J., Grbec, B., Kušpilic, G., Nincevic-Gladan, Ž., P. Tutman, Ujevic, I., Vrgoc, N., Vukadin, P., Žuljevic, A. Coastal cities water pollution control project, Part C1: Monitoring and Observation System for Ongoing Assessment of the Adriatic sea under the Adriatic sea Monitoring Programme, Phase II. Interim report (IR), December, 2013. https://jadran.izor.hr/jadranski_projekt_2/MJERNE-METODE-I-OPREMA.pdf
Roger Harris, Peter Wiebe, Jürgen Lenz, Hein Rune Skjoldal and Mark Huntley. 2000. ICES Zooplankton Methodology Manual Utermöhl, von H. 1931. Neue Wege in der quantitativen Erfassung des Planktons. (Mit besondere Beriicksichtigung des Ultraplanktons). Verh. Int. Verein. Theor. Angew. Limnol., 5, 567–595. Marie, D., Partensky, F., Jacquet, S., Vaulot, D., (1997). Enumeration and cell cycle analysis of natural populations of marine picoplankton by flow cytometry using the nucleic acid stain SYBR Green I. Appl. Environ. Microb., 63, 186-193. Marie, D., Brussaard, C., Partensky, F., Vaulot, D. 1999. Flow cytometric analysis of phytoplankton, bacteria and viruses. In Current Protocols in Cytometry. John Wiley & Sons, Inc., pp. 11.11.1- 11.11.15. Fuhrman, J.A., Azam, F. (1982) Thymidine incorporation as a measure of heterotrophic bacterioplankton production in marine surface waters: evaluation and field results. Mar. Biol., 66, 109-120. doi: 10.1007/BF00397184 Sampling procedure has been described in Marasovic I., Krstulovic, N., Leder, N., Loncar, G., Precali, R., Šolic, M., Loncar,.G., Beg- Paklar, G., Bojanic, N., Cvitkovic, I., Dadic, V., Despalatovic, M., Dulcic, J., Grbec, B., Kušpilic, G., Nincevic-Gladan, Ž., P. Tutman, Ujevic, I., Vrgoc, N., Vukadin, P., Žuljevic, A. Coastal cities water pollution control project, Part C1: Monitoring and Observation System for Ongoing Assessment of the Adriatic sea under the Adriatic sea Monitoring Programme, Phase II. Interim report (IR), December, 2013. https://jadran.izor.hr/jadranski_projekt_2/MJERNE-METODE-I-OPREMA.pdf
Roger Harris, Peter Wiebe, Jürgen Lenz, Hein Rune Skjoldal and Mark Huntley. 2000. ICES Zooplankton Methodology Manual Utermöhl, von H. 1931. Neue Wege in der quantitativen Erfassung des Planktons. (Mit besondere Beriicksichtigung des Ultraplanktons). Verh. Int. Verein. Theor. Angew. Limnol., 5, 567–595. Marie, D., Partensky, F., Jacquet, S., Vaulot, D., (1997). Enumeration and cell cycle analysis of natural populations of marine picoplankton by flow cytometry using the nucleic acid stain SYBR Green I. Appl. Environ. Microb., 63, 186-193. Marie, D., Brussaard, C., Partensky, F., Vaulot, D. 1999. Flow cytometric analysis of phytoplankton, bacteria and viruses. In Current Protocols in Cytometry. John Wiley & Sons, Inc., pp. 11.11.1- 11.11.15. Fuhrman, J.A., Azam, F. (1982) Thymidine incorporation as a measure of heterotrophic bacterioplankton production in marine surface waters: evaluation and field results. Mar. Biol., 66, 109-120. doi: 10.1007/BF00397184 Sampling procedure has been described in Marasovic I., Krstulovic, N., Leder, N., Loncar, G., Precali, R., Šolic, M., Loncar,.G., Beg- Paklar, G., Bojanic, N., Cvitkovic, I., Dadic, V., Despalatovic, M., Dulcic, J., Grbec, B., Kušpilic, G., Nincevic-Gladan, Ž., P. Tutman, Ujevic, I., Vrgoc, N., Vukadin, P., Žuljevic, A. Coastal cities water pollution control project, Part C1: Monitoring and Observation System for Ongoing Assessment of the Adriatic sea under the Adriatic sea Monitoring Programme, Phase II. Interim report (IR), December, 2013. https://jadran.izor.hr/jadranski_projekt_2/MJERNE-METODE-I-OPREMA.pdf
Roger Harris, Peter Wiebe, Jürgen Lenz, Hein Rune Skjoldal and Mark Huntley. 2000. ICES Zooplankton Methodology Manual Utermöhl, von H. 1931. Neue Wege in der quantitativen Erfassung des Planktons. (Mit besondere Beriicksichtigung des Ultraplanktons). Verh. Int. Verein. Theor. Angew. Limnol., 5, 567–595. Marie, D., Partensky, F., Jacquet, S., Vaulot, D., (1997). Enumeration and cell cycle analysis of natural populations of marine picoplankton by flow cytometry using the nucleic acid stain SYBR Green I. Appl. Environ. Microb., 63, 186-193. Marie, D., Brussaard, C., Partensky, F., Vaulot, D. 1999. Flow cytometric analysis of phytoplankton, bacteria and viruses. In Current Protocols in Cytometry. John Wiley & Sons, Inc., pp. 11.11.1- 11.11.15. Fuhrman, J.A., Azam, F. (1982) Thymidine incorporation as a measure of heterotrophic bacterioplankton production in marine surface waters: evaluation and field results. Mar. Biol., 66, 109-120. doi: 10.1007/BF00397184 Sampling procedure has been described in Marasovic I., Krstulovic, N., Leder, N., Loncar, G., Precali, R., Šolic, M., Loncar,.G., Beg- Paklar, G., Bojanic, N., Cvitkovic, I., Dadic, V., Despalatovic, M., Dulcic, J., Grbec, B., Kušpilic, G., Nincevic-Gladan, Ž., P. Tutman, Ujevic, I., Vrgoc, N., Vukadin, P., Žuljevic, A. Coastal cities water pollution control project, Part C1: Monitoring and Observation System for Ongoing Assessment of the Adriatic sea under the Adriatic sea Monitoring Programme, Phase II. Interim report (IR), December, 2013. https://jadran.izor.hr/jadranski_projekt_2/MJERNE-METODE-I-OPREMA.pdf
Roger Harris, Peter Wiebe, Jürgen Lenz, Hein Rune Skjoldal and Mark Huntley. 2000. ICES Zooplankton Methodology Manual Utermöhl, von H. 1931. Neue Wege in der quantitativen Erfassung des Planktons. (Mit besondere Beriicksichtigung des Ultraplanktons). Verh. Int. Verein. Theor. Angew. Limnol., 5, 567–595. Marie, D., Partensky, F., Jacquet, S., Vaulot, D., (1997). Enumeration and cell cycle analysis of natural populations of marine picoplankton by flow cytometry using the nucleic acid stain SYBR Green I. Appl. Environ. Microb., 63, 186-193. Marie, D., Brussaard, C., Partensky, F., Vaulot, D. 1999. Flow cytometric analysis of phytoplankton, bacteria and viruses. In Current Protocols in Cytometry. John Wiley & Sons, Inc., pp. 11.11.1- 11.11.15. Fuhrman, J.A., Azam, F. (1982) Thymidine incorporation as a measure of heterotrophic bacterioplankton production in marine surface waters: evaluation and field results. Mar. Biol., 66, 109-120. doi: 10.1007/BF00397184 Sampling procedure has been described in Marasovic I., Krstulovic, N., Leder, N., Loncar, G., Precali, R., Šolic, M., Loncar,.G., Beg- Paklar, G., Bojanic, N., Cvitkovic, I., Dadic, V., Despalatovic, M., Dulcic, J., Grbec, B., Kušpilic, G., Nincevic-Gladan, Ž., P. Tutman, Ujevic, I., Vrgoc, N., Vukadin, P., Žuljevic, A. Coastal cities water pollution control project, Part C1: Monitoring and Observation System for Ongoing Assessment of the Adriatic sea under the Adriatic sea Monitoring Programme, Phase II. Interim report (IR), December, 2013. https://jadran.izor.hr/jadranski_projekt_2/MJERNE-METODE-I-OPREMA.pdf
Roger Harris, Peter Wiebe, Jürgen Lenz, Hein Rune Skjoldal and Mark Huntley. 2000. ICES Zooplankton Methodology Manual Utermöhl, von H. 1931. Neue Wege in der quantitativen Erfassung des Planktons. (Mit besondere Beriicksichtigung des Ultraplanktons). Verh. Int. Verein. Theor. Angew. Limnol., 5, 567–595. Marie, D., Partensky, F., Jacquet, S., Vaulot, D., (1997). Enumeration and cell cycle analysis of natural populations of marine picoplankton by flow cytometry using the nucleic acid stain SYBR Green I. Appl. Environ. Microb., 63, 186-193. Marie, D., Brussaard, C., Partensky, F., Vaulot, D. 1999. Flow cytometric analysis of phytoplankton, bacteria and viruses. In Current Protocols in Cytometry. John Wiley & Sons, Inc., pp. 11.11.1- 11.11.15. Fuhrman, J.A., Azam, F. (1982) Thymidine incorporation as a measure of heterotrophic bacterioplankton production in marine surface waters: evaluation and field results. Mar. Biol., 66, 109-120. doi: 10.1007/BF00397184 Sampling procedure has been described in Marasovic I., Krstulovic, N., Leder, N., Loncar, G., Precali, R., Šolic, M., Loncar,.G., Beg- Paklar, G., Bojanic, N., Cvitkovic, I., Dadic, V., Despalatovic, M., Dulcic, J., Grbec, B., Kušpilic, G., Nincevic-Gladan, Ž., P. Tutman, Ujevic, I., Vrgoc, N., Vukadin, P., Žuljevic, A. Coastal cities water pollution control project, Part C1: Monitoring and Observation System for Ongoing Assessment of the Adriatic sea under the Adriatic sea Monitoring Programme, Phase II. Interim report (IR), December, 2013. https://jadran.izor.hr/jadranski_projekt_2/MJERNE-METODE-I-OPREMA.pdf
Roger Harris, Peter Wiebe, Jürgen Lenz, Hein Rune Skjoldal and Mark Huntley. 2000. ICES Zooplankton Methodology Manual Utermöhl, von H. 1931. Neue Wege in der quantitativen Erfassung des Planktons. (Mit besondere Beriicksichtigung des Ultraplanktons). Verh. Int. Verein. Theor. Angew. Limnol., 5, 567–595. Marie, D., Partensky, F., Jacquet, S., Vaulot, D., (1997). Enumeration and cell cycle analysis of natural populations of marine picoplankton by flow cytometry using the nucleic acid stain SYBR Green I. Appl. Environ. Microb., 63, 186-193. Marie, D., Brussaard, C., Partensky, F., Vaulot, D. 1999. Flow cytometric analysis of phytoplankton, bacteria and viruses. In Current Protocols in Cytometry. John Wiley & Sons, Inc., pp. 11.11.1- 11.11.15. Fuhrman, J.A., Azam, F. (1982) Thymidine incorporation as a measure of heterotrophic bacterioplankton production in marine surface waters: evaluation and field results. Mar. Biol., 66, 109-120. doi: 10.1007/BF00397184 Sampling procedure has been described in Marasovic I., Krstulovic, N., Leder, N., Loncar, G., Precali, R., Šolic, M., Loncar,.G., Beg- Paklar, G., Bojanic, N., Cvitkovic, I., Dadic, V., Despalatovic, M., Dulcic, J., Grbec, B., Kušpilic, G., Nincevic-Gladan, Ž., P. Tutman, Ujevic, I., Vrgoc, N., Vukadin, P., Žuljevic, A. Coastal cities water pollution control project, Part C1: Monitoring and Observation System for Ongoing Assessment of the Adriatic sea under the Adriatic sea Monitoring Programme, Phase II. Interim report (IR), December, 2013. https://jadran.izor.hr/jadranski_projekt_2/MJERNE-METODE-I-OPREMA.pdf
Roger Harris, Peter Wiebe, Jürgen Lenz, Hein Rune Skjoldal and Mark Huntley. 2000. ICES Zooplankton Methodology Manual Utermöhl, von H. 1931. Neue Wege in der quantitativen Erfassung des Planktons. (Mit besondere Beriicksichtigung des Ultraplanktons). Verh. Int. Verein. Theor. Angew. Limnol., 5, 567–595. Marie, D., Partensky, F., Jacquet, S., Vaulot, D., (1997). Enumeration and cell cycle analysis of natural populations of marine picoplankton by flow cytometry using the nucleic acid stain SYBR Green I. Appl. Environ. Microb., 63, 186-193. Marie, D., Brussaard, C., Partensky, F., Vaulot, D. 1999. Flow cytometric analysis of phytoplankton, bacteria and viruses. In Current Protocols in Cytometry. John Wiley & Sons, Inc., pp. 11.11.1- 11.11.15. Fuhrman, J.A., Azam, F. (1982) Thymidine incorporation as a measure of heterotrophic bacterioplankton production in marine surface waters: evaluation and field results. Mar. Biol., 66, 109-120. doi: 10.1007/BF00397184 Sampling procedure has been described in Marasovic I., Krstulovic, N., Leder, N., Loncar, G., Precali, R., Šolic, M., Loncar,.G., Beg- Paklar, G., Bojanic, N., Cvitkovic, I., Dadic, V., Despalatovic, M., Dulcic, J., Grbec, B., Kušpilic, G., Nincevic-Gladan, Ž., P. Tutman, Ujevic, I., Vrgoc, N., Vukadin, P., Žuljevic, A. Coastal cities water pollution control project, Part C1: Monitoring and Observation System for Ongoing Assessment of the Adriatic sea under the Adriatic sea Monitoring Programme, Phase II. Interim report (IR), December, 2013. https://jadran.izor.hr/jadranski_projekt_2/MJERNE-METODE-I-OPREMA.pdf
Determination of nutrient concentrations in seawater samples (Grasshoff, K.: Methods of Seawater Analysis, Verlag Chemie, New York, 307 pp.) Determination of the oxygen concentration in seawater samples (Grasshoff, K.: Methods of Seawater Analysis, Verlag Chemie, New York, 307 pp.) Sampling procedure has been described in Marasovic I., Krstulovic, N., Leder, N., Loncar, G., Precali, R., Šolic, M., Loncar,.G., Beg- Paklar, G., Bojanic, N., Cvitkovic, I., Dadic, V., Despalatovic, M., Dulcic, J., Grbec, B., Kušpilic, G., Nincevic-Gladan, Ž., P. Tutman, Ujevic, I., Vrgoc, N., Vukadin, P., Žuljevic, A. Coastal cities water pollution control project, Part C1: Monitoring and Observation System for Ongoing Assessment of the Adriatic sea under the Adriatic sea Monitoring Programme, Phase II. Interim report (IR), December, 2013. (Ftp://baltazar.izor.hr)
Strickland, J.D.H., Parsons, T.R., 1972. A practical handbook of seawater analysis. J. Fish. Res. Board Can. 167, 1–310. Sampling procedure has been described in Marasovic I., Krstulovic, N., Leder, N., Loncar, G., Precali, R., Šolic, M., Loncar,.G., Beg- Paklar, G., Bojanic, N., Cvitkovic, I., Dadic, V., Despalatovic, M., Dulcic, J., Grbec, B., Kušpilic, G., Nincevic-Gladan, Ž., P. Tutman, Ujevic, I., Vrgoc, N., Vukadin, P., Žuljevic, A. Coastal cities water pollution control project, Part C1: Monitoring and Observation System for Ongoing Assessment of the Adriatic sea under the Adriatic sea Monitoring Programme, Phase II. Interim report (IR), December, 2013. (Ftp://baltazar.izor.hr)
Determination of the oxygen concentration in seawater samples (Grasshoff, K.: Methods of Seawater Analysis, Verlag Chemie, New York, 307 pp.) Sampling procedure has been described in Marasovic I., Krstulovic, N., Leder, N., Loncar, G., Precali, R., Šolic, M., Loncar,.G., Beg- Paklar, G., Bojanic, N., Cvitkovic, I., Dadic, V., Despalatovic, M., Dulcic, J., Grbec, B., Kušpilic, G., Nincevic-Gladan, Ž., P. Tutman, Ujevic, I., Vrgoc, N., Vukadin, P., Žuljevic, A. Coastal cities water pollution control project, Part C1: Monitoring and Observation System for Ongoing Assessment of the Adriatic sea under the Adriatic sea Monitoring Programme, Phase II. Interim report (IR), December, 2013. (Ftp://baltazar.izor.hr)
Sampling procedure has been described in Marasovic I., Krstulovic, N., Leder, N., Loncar, G., Precali, R., Šolic, M., Loncar, G., Beg- Paklar, G., Bojanic, N., Cvitkovic, I., Dadic, V., Despalatovic, M., Dulcic, J., Grbec, B., Kušpilic, G., Nincevic-Gladan, Ž., P. Tutman, Ujevic, I., Vrgoc, N., Vukadin, P., Žuljevic, A. Coastal cities water pollution control project, Part C1: Monitoring and Observation System for Ongoing Assessment of the Adriatic sea under the Adriatic sea Monitoring Programme, Phase II. Interim report (IR), December, 2013. https://jadran.izor.hr/jadranski_projekt_2/MJERNE-METODE-I-OPREMA.pdf
Sampling procedure has been described in Marasovic I., Krstulovic, N., Leder, N., Loncar, G., Precali, R., Šolic, M., Loncar, G., Beg- Paklar, G., Bojanic, N., Cvitkovic, I., Dadic, V., Despalatovic, M., Dulcic, J., Grbec, B., Kušpilic, G., Nincevic-Gladan, Ž., P. Tutman, Ujevic, I., Vrgoc, N., Vukadin, P., Žuljevic, A. Coastal cities water pollution control project, Part C1: Monitoring and Observation System for Ongoing Assessment of the Adriatic sea under the Adriatic sea Monitoring Programme, Phase II. Interim report (IR), December, 2013. https://jadran.izor.hr/jadranski_projekt_2/MJERNE-METODE-I-OPREMA.pdf
Quality control
As used in the reported monitoring method.
As used in the reported monitoring method.
As used in the reported monitoring method.
As used in the reported monitoring method.
As used in the reported monitoring method.
As used in the reported monitoring method.
As used in the reported monitoring method.
As used in the reported monitoring method.
As used in the reported monitoring method. QUASIMEME
As used in the reported monitoring method. QUASIMEME - proficiency testing scheme.
As used in the reported monitoring method.
As used in the reported monitoring method.
As used in the reported monitoring method.
Data management
Data access
Related indicator/name
Contact
References