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 |
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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.
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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.
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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.
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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.
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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.
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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.).
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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.).
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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
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Not applicable
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Not applicable
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Not applicable
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Not applicable
|
Not applicable
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Not applicable
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Not applicable
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Not applicable
|
Not applicable
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Not applicable
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Not applicable
|
Not applicable
|
Not applicable
|
Not applicable
|
Not applicable
|
Not applicable
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Not applicable
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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 |
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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 |
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Related measures |
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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 |
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Related monitoring programmes |
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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 |
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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.
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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.
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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.
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The sub-programme monitors the presence of porpoise in Finnish territorial waters by acoustic methods in the North Baltic and Ã
land 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.
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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.
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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.
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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.
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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.
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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.
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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. |
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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
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No monitoring in Bothnian Bay since species monitored do not habitat that area |
Diving transects and bathyscope
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Rintala J. 2011. Development of Saaristolintu stocks in Finland from 1986 to 2010. â Live Yearbook 2010: 40-51
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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
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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. |
Fishermensâ reporting to authorities.
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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, âpassiveâ monitoring, i.e. information obtained through other activities and monitoring.
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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.
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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.
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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. |
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Grazing birds |
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Wading birds |
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Surface-feeding birds |
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Pelagic-feeding birds |
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Benthic-feeding birds |
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Small toothed cetaceans |
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Seals |
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Coastal fish |
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Pelagic shelf fish |
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Demersal shelf fish |
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Commercially exploited fish and shellfish |
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Benthic broad habitats |
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Other benthic habitats |
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Pelagic broad habitats |
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Coastal ecosystems |
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Shelf ecosystems |
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Input or spread of non-indigenous species |
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Disturbance of species (e.g. where they breed, rest and feed) due to human presence |
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Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities) |
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Input of nutrients – diffuse sources, point sources, atmospheric deposition |
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Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) – diffuse sources, point sources, atmospheric deposition, acute events |
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Input of litter (solid waste matter, including micro-sized litter) |
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Input of anthropogenic sound (impulsive, continuous) |
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Newly introduced non-indigenous species |
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Established non-indigenous species |
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Eutrophication |
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Coastal defence and flood protection |
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Offshore structures (other than for oil/gas/renewables) |
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Extraction of minerals (rock, metal ores, gravel, sand, shell) |
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Extraction of oil and gas, including infrastructure |
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Extraction of water |
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Renewable energy generation (wind, wave and tidal power), including infrastructure |
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Transmission of electricity and communications (cables) |
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Fish and shellfish harvesting (professional, recreational) |
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Marine plant harvesting |
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Hunting and collecting for other purposes |
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Aquaculture – marine, including infrastructure |
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Transport infrastructure |
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Transport – shipping |
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Waste treatment and disposal |
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Tourism and leisure infrastructure |
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Tourism and leisure activities |
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Military operations (subject to Article 2(2)) |
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Research, survey and educational activities |
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Restructuring of seabed morphology, including dredging and depositing of materials |
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Adverse effects on species or habitats |
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Other pelagic habitats |
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Chemical characteristics |
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Physical and hydrological characteristics |
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Spatial scope |
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Marine reporting units |
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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 |
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Monitoring method |
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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 |
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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.
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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.
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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
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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
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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).
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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.
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The methodology has been partly harmonised at HELCOM EG MAMA meetings.
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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.
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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
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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.
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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.
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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.
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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
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according HELCOM recommendations
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according HELCOM recommendations
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according HELCOM recommendations
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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
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according to Helcom
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according to Helcom
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Screening programme ICES DATRAS centre
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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
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according HELCOM recommendations
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according HELCOM recommendations
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according HELCOM recommendations
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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
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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
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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.
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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.
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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 Lukeâs 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.
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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
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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
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Mortality data not publicly available
Bird ringing data available online |
Primary data only accessible for researchers
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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.
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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).
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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).
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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. |
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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 |
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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 |