Member State report / Art11 / 2014-2020 / D9 / Denmark / NE Atlantic: Greater North Sea

Report type Member State report to Commission
MSFD Article Art. 11 Monitoring programmes (and Art. 17 updates)
Report due 2014-10-15; 2020-10-15
GES Descriptor D9 Contaminants in seafood
Member State Denmark
Region/subregion NE Atlantic: Greater North Sea
Reported by Danish Nature Agency
Report date 2014-10-15; 2020-10-19
Report access
2014 data
2020 data
Monitoring programme Monitoring programme name
MP_D3
MP_D3
MP_D3
MP_D3
MP_D3
MP_D3
MP_D9
Monitoring programme Reference existing programme
Monitoring programme Marine Unit ID
  • ANS_DK_SR_001
  • ANS_DK_SR_001
  • ANS_DK_SR_001
  • ANS_DK_SR_001
  • ANS_DK_SR_001
  • ANS_DK_SR_001
  • ANS_DK_SR_001
Q4e - Programme ID
ANSDK-D03
ANSDK-D03
ANSDK-D03
ANSDK-D03
ANSDK-D03
ANSDK-D03
ANSDK-D09
Q4f - Programme description
The programme consists of a number of sub-programmes that are prepared in coordination with ICES. In addition the yearly programme may be supplemented to serve national managerial purposes.
The programme consists of a number of sub-programmes that are prepared in coordination with ICES. In addition the yearly programme may be supplemented to serve national managerial purposes.
The programme consists of a number of sub-programmes that are prepared in coordination with ICES. In addition the yearly programme may be supplemented to serve national managerial purposes.
The programme consists of a number of sub-programmes that are prepared in coordination with ICES. In addition the yearly programme may be supplemented to serve national managerial purposes.
The programme consists of a number of sub-programmes that are prepared in coordination with ICES. In addition the yearly programme may be supplemented to serve national managerial purposes.
The programme consists of a number of sub-programmes that are prepared in coordination with ICES. In addition the yearly programme may be supplemented to serve national managerial purposes.
Monitoring programme established in order to implement the COMMISSION REGULATION (EC) No 1881/2006, of 19 December 2006 setting maximum levels for certain contaminants in foodstuffs.
Q5e - Natural variability
  • Quantiative
  • Quantiative
  • Quantiative
  • Quantiative
  • Quantiative
  • Quantiative
  • Quantiative
Q5d - Adequacy for assessment of GES Q5d - Adequate data
Y
Y
Y
Y
Y
Y
Y
Q5d - Adequacy for assessment of GES Q5d - Established methods
Y
Y
Y
Y
Y
Y
Y
Q5d - Adequacy for assessment of GES Q5d - Adequate understanding of GES
Y
Y
Y
Y
Y
Y
Y
Q5d - Adequacy for assessment of GES Q5d - Adequate capacity
Y
Y
Y
Y
Y
Y
Y
Q5f - Description of programme for GES assessment
According to coordination in ICES
According to coordination in ICES
According to coordination in ICES
According to coordination in ICES
According to coordination in ICES
According to coordination in ICES
"The sampling and the analysis for the official control of the maximum levels specified in the Annex of Regulation EC No 1881/2006 is performed in accordance with Commission Regulations (EC) No 1883/2006 and Commission Directives 2001/22/EC, 2004/16/EC and 2005/10/EC.
Q5g - Gap-filling date for GES assessment
By2014
By2014
By2014
By2014
By2014
By2014
By2014
Q5h - Plans to implement monitoring for GES assessment
Q6a -Relevant targets Q6a - Environmental target
DK_14_ANS DK_17_ANS DK_29_ANS DK_30_ANS DK_34_ANS DK_36_ANS DK_41_ANS DK_48_ANS
DK_14_ANS DK_17_ANS DK_29_ANS DK_30_ANS DK_34_ANS DK_36_ANS DK_41_ANS DK_48_ANS
DK_14_ANS DK_17_ANS DK_29_ANS DK_30_ANS DK_34_ANS DK_36_ANS DK_41_ANS DK_48_ANS
DK_14_ANS DK_17_ANS DK_29_ANS DK_30_ANS DK_34_ANS DK_36_ANS DK_41_ANS DK_48_ANS
DK_14_ANS DK_17_ANS DK_29_ANS DK_30_ANS DK_34_ANS DK_36_ANS DK_41_ANS DK_48_ANS
DK_14_ANS DK_17_ANS DK_29_ANS DK_30_ANS DK_34_ANS DK_36_ANS DK_41_ANS DK_48_ANS
DK_40_ANS
Q6a -Relevant targets Q6a - Associated indicator
DK_14_ANS DK_17_ANS DK_29_ANS DK_30_ANS DK_34_ANS DK_36_ANS DK_41_ANS DK_48_ANS
DK_14_ANS DK_17_ANS DK_29_ANS DK_30_ANS DK_34_ANS DK_36_ANS DK_41_ANS DK_48_ANS
DK_14_ANS DK_17_ANS DK_29_ANS DK_30_ANS DK_34_ANS DK_36_ANS DK_41_ANS DK_48_ANS
DK_14_ANS DK_17_ANS DK_29_ANS DK_30_ANS DK_34_ANS DK_36_ANS DK_41_ANS DK_48_ANS
DK_14_ANS DK_17_ANS DK_29_ANS DK_30_ANS DK_34_ANS DK_36_ANS DK_41_ANS DK_48_ANS
DK_14_ANS DK_17_ANS DK_29_ANS DK_30_ANS DK_34_ANS DK_36_ANS DK_41_ANS DK_48_ANS
DK_40_ANS
Q6b - Adequacy for assessment of targets Q6b_SuitableData
Y
Y
Y
Y
Y
Y
Y
Q6b - Adequacy for assessment of targets Q6b_EstablishedMethods
Y
Y
Y
Y
Y
Y
Y
Q6b - Adequacy for assessment of targets Q6d_AdequateCapacity
Y
Y
Y
Y
Y
Y
Y
Q6c - Target updating
Y
Y
Y
Y
Y
Y
Y
Q6d - Description of programme for targets assessment
The programme provides data on key indicators for descriptor 3. Existing dta series will provide information on variability, trends and distances from levels recorded previously and/or provide data for the assessment of possible progress towards reaching targets.
The programme provides data on key indicators for descriptor 3. Existing dta series will provide information on variability, trends and distances from levels recorded previously and/or provide data for the assessment of possible progress towards reaching targets.
The programme provides data on key indicators for descriptor 3. Existing dta series will provide information on variability, trends and distances from levels recorded previously and/or provide data for the assessment of possible progress towards reaching targets.
The programme provides data on key indicators for descriptor 3. Existing dta series will provide information on variability, trends and distances from levels recorded previously and/or provide data for the assessment of possible progress towards reaching targets.
The programme provides data on key indicators for descriptor 3. Existing dta series will provide information on variability, trends and distances from levels recorded previously and/or provide data for the assessment of possible progress towards reaching targets.
The programme provides data on key indicators for descriptor 3. Existing dta series will provide information on variability, trends and distances from levels recorded previously and/or provide data for the assessment of possible progress towards reaching targets.
The programme provides data that enables authorities to safegueard consumers from any health risks. At the same time the programme may provide supplementary information on sources for inputs of hazardous substances.
Q6e - Gap-filling date for targets assessment
By2014
By2014
By2014
By2014
By2014
By2014
By2014
Q6f - Plans to implement monitoring for targets assessment
Q7a - Relevant activities
  • Aquaculture
  • Fisheries
  • SeaweedOtherSeafood
  • Aquaculture
  • Fisheries
  • SeaweedOtherSeafood
  • Aquaculture
  • Fisheries
  • SeaweedOtherSeafood
  • Aquaculture
  • Fisheries
  • SeaweedOtherSeafood
  • Aquaculture
  • Fisheries
  • SeaweedOtherSeafood
  • Aquaculture
  • Fisheries
  • SeaweedOtherSeafood
Q7b - Description of monitoring of activities
According to guidelines of ICES agreements
According to guidelines of ICES agreements
According to guidelines of ICES agreements
According to guidelines of ICES agreements
According to guidelines of ICES agreements
According to guidelines of ICES agreements
"The sampling and the analysis for the official control of the maximum levels specified in the Annex of Regulation EC No 1881/2006 is performed in accordance with Commission Regulations (EC) No 1883/2006 and Commission Directives 2001/22/EC, 2004/16/EC and 2005/10/EC.
Q7c - Relevant measures
Q7e - Adequacy for assessment of measures Q7d - Adequate data
Q7e - Adequacy for assessment of measures Q7d - Established methods
Q7e - Adequacy for assessment of measures Q7d - Adequate understanding of GES
Q7e - Adequacy for assessment of measures Q7d - Adequate capacity
Q7e - Adequacy for assessment of measures Q7d - Addresses activities and pressures
Q7e - Adequacy for assessment of measures Q7d - Addresses effectiveness of measures
Q7d - Description of monitoring for measures
Q7f - Gap-filling date for activities and measures
By2014
By2014
By2014
By2014
By2014
By2014
By2014
Q8a - Links to existing Monitoring Programmes
  • CFP-DC-MAP
  • CFP-DC-MAP
  • CFP-DC-MAP
  • CFP-DC-MAP
  • CFP-DC-MAP
  • CFP-DC-MAP
  • Commission Regulation (EC) No. 1881/2006
  • Other
  • WFD
Reference sub-programme Sub-programme ID
ANSDK-D03-04_mortal_fisheries_birds
ANSDK-D03-05_mortal_fisheries_porpoise
ANSDK-D03-06_mortal_fisheries_seals
ANSDK-D03-08_mortal_fish_coastal
ANSDK-D03-09_mortal_fish_migrat_pelagic
ANSDK-D03-10_mortal_fish_offsh_commercial
ANSDK-D09-01_CONTAMINAN_species
Reference sub-programme Sub-programme name
Mobile species - mortality/injury rates from fisheries (targeted and/or incidental)
Mobile species - mortality/injury rates from fisheries (targeted and/or incidental)
Mobile species - mortality/injury rates from fisheries (targeted and/or incidental)
Mobile species - mortality/injury rates from fisheries (targeted and/or incidental)
Mobile species - mortality/injury rates from fisheries (targeted and/or incidental)
Mobile species - mortality/injury rates from fisheries (targeted and/or incidental)
Contaminant levels - in species, including seafood
Q4g - Sub-programmes Sub-programme ID
ANSDK-D03-04_mortal_fisheries_birds
ANSDK-D03-05_mortal_fisheries_porpoise
ANSDK-D03-06_mortal_fisheries_seals
ANSDK-D03-08_mortal_fish_coastal
ANSDK-D03-09_mortal_fish_migrat_pelagic
ANSDK-D03-10_mortal_fish_offsh_commercial
ANSDK-D09-01_CONTAMINAN_species
Q4g - Sub-programmes Sub-programme name
Mobile species - mortality/injury rates from fisheries (targeted and/or incidental)
Mobile species - mortality/injury rates from fisheries (targeted and/or incidental)
Mobile species - mortality/injury rates from fisheries (targeted and/or incidental)
Mobile species - mortality/injury rates from fisheries (targeted and/or incidental)
Mobile species - mortality/injury rates from fisheries (targeted and/or incidental)
Mobile species - mortality/injury rates from fisheries (targeted and/or incidental)
Contaminant levels - in species, including seafood
Q4k - Monitoring purpose
Activities
Activities
Activities
StateImpact
StateImpact
Activities
Pressurse Measures
Q4l - Links of monitoring programmes of other Directives and Conventions
The Danish Sea Sampling Program is the main source for information concerning discards. Scientific observers are on board commercial vessels during regular fishery. All relevant information concerning catch, vessel and gear characteristics, mesh size and selective gear devices, fishing ground, weather, ownership etc. are collected. All observers have a detailed manual describing the procedure for handling the catch on board. The data are used for estimating the total discard by number and weight by species, age group, area, quarter and métiers. The primary sampling unit was in 2014 was vessel. The selection of vessels for sampling is described below. As a part of the program a limited part of the gillnet fleet is conducting self-sampling. These vessels are relatively small and it is therefore difficult to conduct a traditional observer trip. They are all conducting 1 day trips. An arrangement has been made with a selected number of vessels where DTU Aqua at randomly chosen days calls the fishermen and ask them to bring all discard to land where it will be handled as a normal discard trip. On one of the vessels an observer is onboard to have a reference. A danish manual is avalible.
The Danish Sea Sampling Program is the main source for information concerning discards. Scientific observers are on board commercial vessels during regular fishery. All relevant information concerning catch, vessel and gear characteristics, mesh size and selective gear devices, fishing ground, weather, ownership etc. are collected. All observers have a detailed manual describing the procedure for handling the catch on board. The data are used for estimating the total discard by number and weight by species, age group, area, quarter and métiers. The primary sampling unit was in 2014 was vessel. The selection of vessels for sampling is described below. As a part of the program a limited part of the gillnet fleet is conducting self-sampling. These vessels are relatively small and it is therefore difficult to conduct a traditional observer trip. They are all conducting 1 day trips. An arrangement has been made with a selected number of vessels where DTU Aqua at randomly chosen days calls the fishermen and ask them to bring all discard to land where it will be handled as a normal discard trip. On one of the vessels an observer is onboard to have a reference. A danish manual is avalible.
The Danish Sea Sampling Program is the main source for information concerning discards. Scientific observers are on board commercial vessels during regular fishery. All relevant information concerning catch, vessel and gear characteristics, mesh size and selective gear devices, fishing ground, weather, ownership etc. are collected. All observers have a detailed manual describing the procedure for handling the catch on board. The data are used for estimating the total discard by number and weight by species, age group, area, quarter and métiers. The primary sampling unit was in 2014 was vessel. The selection of vessels for sampling is described below. As a part of the program a limited part of the gillnet fleet is conducting self-sampling. These vessels are relatively small and it is therefore difficult to conduct a traditional observer trip. They are all conducting 1 day trips. An arrangement has been made with a selected number of vessels where DTU Aqua at randomly chosen days calls the fishermen and ask them to bring all discard to land where it will be handled as a normal discard trip. On one of the vessels an observer is onboard to have a reference. A danish manual is avalible.
Catches from the recreational fisheries are registered on a voluntary basis by ”key” fishermen at fixed stations in most parts of the Danish coasts. The catches are performed with standard gillnets (one mesh size, 65 mm) and/or fyke nets, with up to 3 samples monthly in the beginning of each month, and from around April to November. Because of the mesh size used, the gillnets sample mostly adults, whereas juveniles of flounder and cod may be caught in the fyke nets. At present about 100+ fishers are invovled in the project. the last report with a detailed description can be downloaded: http://orbit.dtu.dk/files/100552186/Publishers_version.pdf
ICES Working Group of International Pelagic surveys (WGIPS) has conducted a guide to the methodologies adhered to during the planning, execution and analysis phases of WGIPS coordinated surveys. The manual is not yet avalible in an online version but will be attached as an appendix. The survey coordination and documentation is done in this ICES working group and the details can be found in the ICES repport http://www.ices.dk/sites/pub/Publication%20Reports/Expert%20Group%20Report/SSGESST/2014/WGIPS14.pdf. The survey objectives are listed below: • Carry out a pre-determined survey cruise track • Determine an age stratified estimate of relative abundance of herring within the survey area • Determine an age stratified estimate of relative abundance of blue whiting within the survey area • Collect biological samples from directed trawling on insonified fish echotraces to determine age structure and maturity state of the herring stock • Collect physical oceanography data from vertical profiles (CTD). • Plankton sampling (WP2 and Dyedi) A survey manual is included as an appendix MANUAL FOR INTERNATIONAL PELAGIC SURVEYS (IPS) page 7-12.
The Danish Sea Sampling Program is the main source for information concerning discards. Scientific observers are on board commercial vessels during regular fishery. All relevant information concerning catch, vessel and gear characteristics, mesh size and selective gear devices, fishing ground, weather, ownership etc. are collected. All observers have a detailed manual describing the procedure for handling the catch on board. The data are used for estimating the total discard by number and weight by species, age group, area, quarter and métiers. The primary sampling unit was in 2014 was vessel. The selection of vessels for sampling is described below. As a part of the program a limited part of the gillnet fleet is conducting self-sampling. These vessels are relatively small and it is therefore difficult to conduct a traditional observer trip. They are all conducting 1 day trips. An arrangement has been made with a selected number of vessels where DTU Aqua at randomly chosen days calls the fishermen and ask them to bring all discard to land where it will be handled as a normal discard trip. On one of the vessels an observer is onboard to have a reference. A danish manual is avalible.
COMMISSION REGULATION (EC) No 1881/2006 of 19 December 2006 setting maximum levels for certain contaminants in foodstuffs and guidelines in the National Monitoring Programme for Water and Nature, NOVANA and RSC programmes in OSPAR CEMP and HELCOM COMBINE.
Q5c - Features Q5c - Habitats
  • LitSed WaterColumnHabitatsAll MarineCoast
  • LitSed WaterColumnHabitatsAll MarineCoast
  • LitSed WaterColumnHabitatsAll MarineCoast
  • LitSed WaterColumnHabitatsAll MarineCoast
  • LitSed WaterColumnHabitatsAll MarineCoast
  • LitSed WaterColumnHabitatsAll MarineCoast
  • LitSed WaterColumnHabitatsAll
Q5c - Features Q5c - Species list
  • CephalopodsAll
  • FishAll
  • FishCoastal
  • FishDemersal
  • FishPelagic
  • CephalopodsAll
  • FishAll
  • FishCoastal
  • FishDemersal
  • FishPelagic
  • CephalopodsAll
  • FishAll
  • FishCoastal
  • FishDemersal
  • FishPelagic
  • CephalopodsAll
  • FishAll
  • FishCoastal
  • FishDemersal
  • FishPelagic
  • CephalopodsAll
  • FishAll
  • FishCoastal
  • FishDemersal
  • FishPelagic
  • CephalopodsAll
  • FishAll
  • FishCoastal
  • FishDemersal
  • FishPelagic
  • FishAll
  • FishCoastal
  • FishDemersal
  • FishPelagic
Q5c - Features Q5c - Physical/Chemical features
  • Salinity
  • SeaBottomTemperature
  • SeaSurfaceTemperature
  • Transparency
  • Salinity
  • SeaBottomTemperature
  • SeaSurfaceTemperature
  • Transparency
  • Salinity
  • SeaBottomTemperature
  • SeaSurfaceTemperature
  • Transparency
  • Salinity
  • SeaBottomTemperature
  • SeaSurfaceTemperature
  • Transparency
  • Salinity
  • SeaBottomTemperature
  • SeaSurfaceTemperature
  • Transparency
  • Salinity
  • SeaBottomTemperature
  • SeaSurfaceTemperature
  • Transparency
Q5c - Features Q5c - Pressures
  • ExtractSpeciesFishShellfish
  • Litter
  • ExtractSpeciesFishShellfish
  • Litter
  • ExtractSpeciesFishShellfish
  • Litter
  • ExtractSpeciesFishShellfish
  • Litter
  • ExtractSpeciesFishShellfish
  • Litter
  • ExtractSpeciesFishShellfish
  • Litter
  • IntroHazSubstOther
Q9a - Elements
  • In the manual all relevant information on the sampling type can be found. However, all fish/ animals are specific to species or species group counted and weighted and station information on depth, gear and fishing pattern is recorded. The target fish species are all commercial species.
  • In the manual all relevant information on the sampling type can be found. However, all fish/ animals are specific to species or species group counted and weighted and station information on depth, gear and fishing pattern is recorded. The target fish species are all commercial species.
  • In the manual all relevant information on the sampling type can be found. However, all fish/ animals are specific to species or species group counted and weighted and station information on depth, gear and fishing pattern is recorded. The target fish species are all commercial species.
  • Most frequently occurring species in the combined database are flounder (Platichtys flesus), eel (Anguilla anguilla), eel-pout (Zoarces viviparus) and cod (Gadus morhua).
  • Functional group; Pelagic planktivore.
  • In the manual all relevant information on the sampling type can be found. However, all fish/ animals are specific to species or species group counted and weighted and station information on depth, gear and fishing pattern is recorded. The target fish species are all commercial species.
  • Mussels: non-synthetic metals(Cd, Pb, Hg, Cu, Zn, Ni, Cr, As, Ag), PAHs (20 substances incl. Naphthalene); Synthetic: organotins (TBT, DBT, MBT, phenyletin), dioxins (17 congeners+3 dioxinlike PCBs =CB77, 126 and 169)‌‌. Fish: metals, organotins, dioxins, PCBs (incl. 7 chlorinated pesticides), PFOS (7 substances), BDE (10 congeners), HBCDD (3 substances)
Q5a - GES criteria Relevant GES criteria
  • 1.1
  • 1.2
  • 1.3
  • 10.1
  • 10.2
  • 3.1
  • 3.2
  • 3.3
  • 4.2
  • 9.1
  • 1.1
  • 1.2
  • 1.3
  • 10.1
  • 10.2
  • 3.1
  • 3.2
  • 3.3
  • 4.2
  • 9.1
  • 1.1
  • 1.2
  • 1.3
  • 10.1
  • 10.2
  • 3.1
  • 3.2
  • 3.3
  • 4.2
  • 9.1
  • 1.1
  • 1.2
  • 1.3
  • 10.1
  • 10.2
  • 3.1
  • 3.2
  • 3.3
  • 4.2
  • 9.1
  • 1.1
  • 1.2
  • 1.3
  • 10.1
  • 10.2
  • 3.1
  • 3.2
  • 3.3
  • 4.2
  • 9.1
  • 1.1
  • 1.2
  • 1.3
  • 10.1
  • 10.2
  • 3.1
  • 3.2
  • 3.3
  • 4.2
  • 9.1
  • 9.1
Q5b - GES indicators Relevant GES indicators
  • 3.1.1
  • 3.1.2
  • 3.2.1
  • 3.2.2
  • 3.3.1
  • 4.2.1
  • 3.1.1
  • 3.1.2
  • 3.2.1
  • 3.2.2
  • 3.3.1
  • 4.2.1
  • 3.1.1
  • 3.1.2
  • 3.2.1
  • 3.2.2
  • 3.3.1
  • 4.2.1
  • 3.1.1
  • 3.1.2
  • 3.2.1
  • 3.2.2
  • 3.3.1
  • 4.2.1
  • 3.1.1
  • 3.1.2
  • 3.2.1
  • 3.2.2
  • 3.3.1
  • 4.2.1
  • 3.1.1
  • 3.1.2
  • 3.2.1
  • 3.2.2
  • 3.3.1
  • 4.2.1
  • 9.1.1
  • 9.1.2
Q9b - Parameters monitored (state/impact) Species distribution
  • MP-9b-1-1-1
  • MP-9b-1-1-1
  • MP-9b-1-1-1
  • MP-9b-1-1-1
  • MP-9b-1-1-1
  • MP-9b-1-1-2
  • MP-9b-1-1-1
Q9b - Parameters monitored (state/impact) Species population size
  • MP-9b-1-2-1
  • MP-9b-1-2-2
Q9b - Parameters monitored (state/impact) Species population characteristics
  • MP-9b-1-3-1
  • MP-9b-1-3-2
  • MP-9b-1-3-3
  • MP-9b-1-3-1
  • MP-9b-1-3-2
  • MP-9b-1-3-3
  • MP-9b-1-3-1
  • MP-9b-1-3-2
  • MP-9b-1-3-3
  • MP-9b-1-3-1
  • MP-9b-1-3-2
  • MP-9b-1-3-3
  • MP-9b-1-3-6
  • MP-9b-1-3-1
  • MP-9b-1-3-2
  • MP-9b-1-3-3
Q9b - Parameters monitored (state/impact) Species impacts
  • MP-9b-1-4-1
  • MP-9b-1-4-2
  • MP-9b-1-4-3
  • MP-9b-1-4-1
  • MP-9b-1-4-2
  • MP-9b-1-4-3
  • MP-9b-1-4-1
  • MP-9b-1-4-2
  • MP-9b-1-4-3
  • MP-9b-1-4-1
  • MP-9b-1-4-3
  • MP-9b-1-4-1
  • MP-9b-1-4-2
  • MP-9b-1-4-3
Q9b - Parameters monitored (state/impact) Habitat distribution
Q9b - Parameters monitored (state/impact) Habitat extent
Q9b - Parameters monitored (state/impact) Habitat condition (physical-chemical)
  • MP-9b-1-7-11
  • MP-9b-1-7-11
  • MP-9b-1-7-11
  • MP-9b-1-7-1
  • MP-9b-1-7-1
  • MP-9b-1-7-2
  • MP-9b-1-7-11
Q9b - Parameters monitored (state/impact) Habitat condition (biological)
  • MP-9b-1-8-2
  • MP-9b-1-8-3
  • MP-9b-1-8-2
  • MP-9b-1-8-3
  • MP-9b-1-8-2
  • MP-9b-1-8-3
  • MP-9b-1-8-2
  • MP-9b-1-8-3
  • MP-9b-1-8-2
  • MP-9b-1-8-3
  • MP-9b-1-8-2
  • MP-9b-1-8-3
Q9b - Parameters monitored (state/impact) Habitat impacts
  • MP-9b-1-9-2
  • MP-9b-1-9-2
  • MP-9b-1-9-2
  • MP-9b-1-9-2
Q9b - Parameters monitored (pressures) Pressure input
Q9b - Parameters monitored (pressures) Pressure output
  • MP-9b-2-2-2
Q9b - Parameters monitored (activity) Activity
  • MP-9b-3-1-1
  • MP-9b-3-1-4
  • MP-9b-3-1-1
  • MP-9b-3-1-4
  • MP-9b-3-1-1
  • MP-9b-3-1-4
  • MP-9b-3-1-1
  • MP-9b-3-1-4
Q9b Parameters monitored (other) Other
Q41 Spatial scope
WFD_CW EEZ BeyondMSwaters
WFD_CW EEZ BeyondMSwaters
WFD_CW EEZ BeyondMSwaters
WFD_CW
BeyondMSwaters
WFD_CW EEZ BeyondMSwaters
WFD_CW TerritorialWaters
Q4j - Description of spatial scope
Commercial vessels are selected randomly and success rate is recorded. Success rate is defined as the number of fishermen willing to participate in allowing the observers to come onboard. A new sampling system was introduced in 2011, where vessels are selected on a stratified random basis, based on last year’s data. For each métier and quarter a vessel selection spreadsheet has been computed and the change of selecting a vessel are weighted with the amount of trips conducted in the same quarter and area one year earlier. When a vessel is selected by the computer the observers are oblique to call the skipper to ask for the possibility to conduct an observer trip with his vessel. As the system is weighting the amounts of trips conducted by the vessel it is possible to select the same ship more than once within a quarter. The fishermen answers are registered in a log. If a skipper decisively refuses to have an observer on board he is not contacted again within that year even though the ship is selected again by the system. However, the ship is registered with the same answer. If the skipper says “no” but is given a more vague answer (try again later or it is not fitting very good right now) he will be called again the next time the vessel is being selected by the system.
Commercial vessels are selected randomly and success rate is recorded. Success rate is defined as the number of fishermen willing to participate in allowing the observers to come onboard. A new sampling system was introduced in 2011, where vessels are selected on a stratified random basis, based on last year’s data. For each métier and quarter a vessel selection spreadsheet has been computed and the change of selecting a vessel are weighted with the amount of trips conducted in the same quarter and area one year earlier. When a vessel is selected by the computer the observers are oblique to call the skipper to ask for the possibility to conduct an observer trip with his vessel. As the system is weighting the amounts of trips conducted by the vessel it is possible to select the same ship more than once within a quarter. The fishermen answers are registered in a log. If a skipper decisively refuses to have an observer on board he is not contacted again within that year even though the ship is selected again by the system. However, the ship is registered with the same answer. If the skipper says “no” but is given a more vague answer (try again later or it is not fitting very good right now) he will be called again the next time the vessel is being selected by the system.
Commercial vessels are selected randomly and success rate is recorded. Success rate is defined as the number of fishermen willing to participate in allowing the observers to come onboard. A new sampling system was introduced in 2011, where vessels are selected on a stratified random basis, based on last year’s data. For each métier and quarter a vessel selection spreadsheet has been computed and the change of selecting a vessel are weighted with the amount of trips conducted in the same quarter and area one year earlier. When a vessel is selected by the computer the observers are oblique to call the skipper to ask for the possibility to conduct an observer trip with his vessel. As the system is weighting the amounts of trips conducted by the vessel it is possible to select the same ship more than once within a quarter. The fishermen answers are registered in a log. If a skipper decisively refuses to have an observer on board he is not contacted again within that year even though the ship is selected again by the system. However, the ship is registered with the same answer. If the skipper says “no” but is given a more vague answer (try again later or it is not fitting very good right now) he will be called again the next time the vessel is being selected by the system.
Project has been launched in order to ascertain the species distribution along the coastal strips of Denmark.
This survey is carried out in order to investigate abundance, distribution and migrations of the Atlanto-Scandian herring, blue whiting and other pelagic fish in the Norweigian Sea and adjacent waters . Furthermore, hydrographical conditions and plankton abundance are monitored. The survey was coordinated with Norway as an international survey with participation of Norway, Iceland, Faroe Islands and EU, where the Danish R/V Dana conducted the EU survey part. The survey is carried out as a joint EU survey with participation of UK, Ireland, Netherlands, Germany, Sweden and Denmark.
Commercial vessels are selected randomly and success rate is recorded. Success rate is defined as the number of fishermen willing to participate in allowing the observers to come onboard. A new sampling system was introduced in 2011, where vessels are selected on a stratified random basis, based on last year’s data. For each métier and quarter a vessel selection spreadsheet has been computed and the change of selecting a vessel are weighted with the amount of trips conducted in the same quarter and area one year earlier. When a vessel is selected by the computer the observers are oblique to call the skipper to ask for the possibility to conduct an observer trip with his vessel. As the system is weighting the amounts of trips conducted by the vessel it is possible to select the same ship more than once within a quarter. The fishermen answers are registered in a log. If a skipper decisively refuses to have an observer on board he is not contacted again within that year even though the ship is selected again by the system. However, the ship is registered with the same answer. If the skipper says “no” but is given a more vague answer (try again later or it is not fitting very good right now) he will be called again the next time the vessel is being selected by the system.
Danish part of OSPAR convention. Mussel stations mainly coastal, fish stations more open stations in the North Sea.
Marine Unit IDs
  • ANS_DK_SR_001
  • ANS_DK_SR_001
  • ANS_DK_SR_001
  • ANS_DK_SR_001
  • ANS_DK_SR_001
  • ANS_DK_SR_001
  • ANS_DK_SR_001
Q4h - Temporal scope Start date- End date
1995-9999
1995-9999
1995-9999
2005-9999
2004-9999
1995-9999
1998-9999
Q9h - Temporal resolution of sampling
  • Continually
  • Continually
  • Continually
  • Monthly
  • Yearly
  • Continually
  • Yearly
Q9c - Monitoring method
ICES methods for best pratice in on shore and at sea sampling. SGPIDS, WKPICS, PGCCDBS, RCM Baltic and RCM North Sea. As age and length and weight by age is followed continually it is possible to follow the development over time, to estimate if the population is in a healthy state.Data derived from this program is used in stock assessment to estimate the fishing mortality on the commercial important stocks.
ICES methods for best pratice in on shore and at sea sampling. SGPIDS, WKPICS, PGCCDBS, RCM Baltic and RCM North Sea. As age and length and weight by age is followed continually it is possible to follow the development over time, to estimate if the population is in a healthy state.Data derived from this program is used in stock assessment to estimate the fishing mortality on the commercial important stocks.
ICES methods for best pratice in on shore and at sea sampling. SGPIDS, WKPICS, PGCCDBS, RCM Baltic and RCM North Sea. As age and length and weight by age is followed continually it is possible to follow the development over time, to estimate if the population is in a healthy state.Data derived from this program is used in stock assessment to estimate the fishing mortality on the commercial important stocks.
In this project 102 voluntary recreational fishermen participated, using either gillnets, fyke-nets or both gear types. Note that the results resented in this report represent catches reported by recreational fishermen. All species have caught have been registered and length measurements have been taken. The results showed a high fish biodiversity in Danish coastal waters. A total of 49 fish species were registered in gillnets and 72 in fyke-nets. This projec represent the largest and longest time series on catches in gillnets and fyke-nets along the Danish coasts. As age and length and weight by age are followed on a regular basis it is possible to follow the development over time, to estimate if the population is in a healthy state.
ICES methods - following the international coordinated manual "MANUAL FOR INTERNATIONAL PELAGIC SURVEYS (IPS) " Biological sampling is carried out with large og midsized pelagic midwater trawls (countrydependent), with a vertical opening of 25-35 m. Trawl metrics are monitored using a net sonde. All components of the catch from the trawl hauls is sorted and weighed; fish and other taxa are identified to species level. Fish samples are divided into species composition by weight. Length frequency and length weight data is collected for each component of the catch. Length measurements of herring, and blue whiting to be taken to the nearest 0.5cm below. Biological sampling is used to verify the composition of echotraces during echo integration. Decisions to fish on particular echotraces are largely subjective and an attempt should be made to target echotraces low density scattering layers not just high density shoals. No bottom trawl gear is used during this survey. The data can be used to evaluate the development in the length and weight distribution for commercial species over time, as the gears are standardized between years.
ICES methods for best pratice in on shore and at sea sampling. SGPIDS, WKPICS, PGCCDBS, RCM Baltic and RCM North Sea. As age and length and weight by age is followed continually it is possible to follow the development over time, to estimate if the population is in a healthy state.Data derived from this program is used in stock assessment to estimate the fishing mortality on the commercial important stocks.
OSPAR Aggrement 2002-16, JAMP Guidelines for Monitoring Contaminants in Sediments (rev. 2011). www.ospar.org in “Program and measures” under “aggrements”, incoorporated into technical annexes for the national NOVANA program http://bios.au.dk/fileadmin/bioscience/Fagdatacentre/MarintFagdatacenter/TekniskeAnvisninger2011_2015/TA_M25_Miljoefarlige_stoffer_i_fisk.pdf http://bios.au.dk/fileadmin/bioscience/Fagdatacentre/MarintFagdatacenter/TekniskeAnvisninger2011_2015/TA_M26_Biologisk_effektmonitering_i_fisk__ver_1_.pdf http://bios.au.dk/fileadmin/bioscience/Fagdatacentre/MarintFagdatacenter/TekniskeAnvisninger2011_2015/TA_M28_Biologisk_effektmonitering_i_muslinger__VERSION_2_.pdf
Q9d - Description of alteration to method
This program is registering all birds by species caught in the commercial vessels were the program is operating. However, the program is not design to target by-catch of breeding or wintering birds by is mainly registration if the bird is catch in the commercial gear. Furthermore, it should be highlighted that the main part of the targeted fleet in this program is trawlers and not the gillnetters who would probably have a larger rate of by-catch of birds.
This program is registering all mammals by species caught in the commercial vessels were the program is operating. However, the program is not design to target by-catch mammals it is mainly registration if the mammals are caught in the commercial gear. Furthermore, it should be highlighted that the main part of the targeted fleet in this program is trawlers and not the gillnetters who would probably have a larger rate of by-catch of mammals.
This program is registering all mammals by species caught in the commercial vessels were the program is operating. However, the program is not design to target by-catch mammals it is mainly registration if the mammals are caught in the commercial gear. Furthermore, it should be highlighted that the main part of the targeted fleet in this program is trawlers and not the gillnetters who would probably have a larger rate of by-catch of mammals.
The method can be seen in the manual. No age are estimated but length and weight. The data can be used to evaluate the development in the length and weight distribution for commercial species over time, as the gears are standardized.
Acoustic data are collected using a Simrad EK60 scientific echosounder. Split-beam transducers are mounted on the various vessels in different configurations. Several operating frequencies are used during the surveys (e.g. 18, 38, 120 and 200 kHz) for trace recognition purposes, but with 38 kHz data used to generate the abundance estimate All frequencies are to be calibrated prior to the survey. Details to be found in the manual.
Q9e - Quality assurance
  • ICESDataTypeGuide
  • ICESDataTypeGuide
  • ICESDataTypeGuide
  • National
  • see link with prject description: http://orbit.dtu.dk/files/100552186/Publishers_version.pdf
  • ICESDataTypeGuide
  • ICESDataTypeGuide
  • QUASIMEM
Q9f - Quality control
RealandDelayedValidation
RealandDelayedValidation
RealandDelayedValidation
DelayedValidation
RealandDelayedValidation
RealandDelayedValidation
DelayedValidation
Q9g - Spatial resolution of sampling Q9g - Proportion of area covered %
0.67
0.67
0.67
0.3
0.67
75
Q9g - Spatial resolution of sampling Q9g - No. of samples
around 150 trips are conducted on an annual basis and this corrispond to 325 days at sea. Indicating that 1 trip equals to 0.67%. From minimum 1 station per day we sample all species with length and weight and only selected species for age.
Around 150 trips are conducted on an annual basis and this corrispond to 325 days at sea. Indicating that 1 trip equals to 0.67% From minimum 1 station per day we sample all species with length and weight and only selected speces for age.
Around 150 trips are conducted on an annual basis and this corrispond to 325 days at sea. Indicating that 1 trip equals to 0.67%. From minimum 1 station per day we sample all species with length and weight and only selected speces for age.
around 150 trips are conducted on an annual basis and this corrispond to 325 days at sea. Indicating that 1 trip equals to 0.67%. From minimum 1 station per day we sample all species with length and weight and only selected species for age.
25+4 (mussels+fish)
Q9i - Description of sample representivity
103 fishermen are participating with 3 sites eac. Indicating that each site represent 0.3% of the total. In total 52,000 individuals were caught in the last three year. Eelpout topped the list of species most frequently caught, mostly in fyke-nets. Next on the list was flounder with 23,000 individuals being caught over 3 years. An equal number of cod and eel were caught; 9,000 individuals. The catches reflect the fac.
The survey is conducted as an acustic survey and trawl samples are only taken when it can be detected on the acustic. The survey has planned to conduct 10 fishing stations and 35 planktonic stations each year. This indicates that 1 fishing station will have the influence of 10% and a plankton station will influence around 3% of the total stations carried out by Denmark Catches from trawl hauls are sorted and weighed; fish are identified to species level, when possible, and other taxa to higher taxonomic levels. Normally a subsample of 30–100 herring and blue whiting are sexed, aged, and measured for length and weight, and their maturity status is estimated using established methods. An additional sample of 70–300 fish is measured for length.
Fish stations are timetrend, 4 mussel stations timetrend stations (revisited yearly). Other mussel stations are placed every year to extend spatial coverage and support for MPAs or areas in risk of higher pressures
Q10a - Scale for aggregation of data
  • Subregion
  • Subregion
  • Subregion
  • Subregion
  • Region
  • Subregion
  • Subregion
Q10b - Other scale for aggregation of data
Q10c - Access to monitoring data Q10c - Data type
ProcessedData DataProducts
ProcessedData DataProducts
ProcessedData DataProducts
ProcessedData
Simulated
ProcessedData DataProducts
ProcessedData DataProducts
Q10c - Access to monitoring data Q10c - Data access mechanism
LocationInternationalDC
LocationInternationalDC
LocationInternationalDC
LocationNationalDC
LocationInternationalDC
LocationInternationalDC
LocationInternationalDC
Q10c - Access to monitoring data Q10c - Data access rights
RestrictedSpecific
RestrictedSpecific
RestrictedSpecific
RestrictedSpecific
RestrictedSpecific
RestrictedSpecific
Open
Q10c - Access to monitoring data Q10c - INSPIRE standard
HabitatsBiotopes SpeciesDistribution
HabitatsBiotopes SeaRegions SpeciesDistribution
OceanographicFeatures SeaRegions SpeciesDistribution
SeaRegions SpeciesDistribution
OceanographicFeatures SpeciesDistribution
OceanographicFeatures SeaRegions SpeciesDistribution
OceanographicFeatures SeaRegions
Q10c - Access to monitoring data Q10c Date data are available
2015-04
2015-04
2015-04
2015-10
2015-03
2015-04
1999-01
Q10c - Access to monitoring data Q10c - Data update frequency
Yearly
Yearly
Yearly
Yearly
Yearly
Yearly
Yearly
Q10d - Description of data access
In ICES Regional data base (RDB).
In ICES Regional data base (RDB).
In ICES Regional data base (RDB).
A national data base is holding the data.
ICES is presently working on constructing a database where all aquatic data can be uploaded and stored. Presently DTU Aqua is hosting this database.
In ICES Regional data base (RDB).
Data will be reported in yearly reports under the National Monitoring Progrqmme for Water and Nature, NOVANA and in the forthcoming MSFD art 8 initial assessment in 2018.
Descriptor
D9
D9
D9
Monitoring strategy description
Miljøfarlige stoffer der tilføres havmiljøet kan optages af havets organismer og bioakkumuleres op gennem fødekæden. Stofferne bioakkumuleres, når koncentrationen af stoffet, som optages i organismerne, er større end den koncentration organismerne udskiller. Formålet med overvågningen af forurenende stoffer i fisk og skaldyr til konsumer at tilvejebringe et grundlag for at de forurenende stoffer, der tilføres fisk og skaldyr til konsum, ikke overstiger de niveauer der er fastlagt i fællesskabslovgivningen eller øvrige standarder. Koncentrationen af forurenende stoffer i fisk og skaldyr overvåges gennem to hovedaktiviteter; Fødevarestyrelsens stikprøvekontrol, samt NOVANA-overvågningsprogrammet. 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.
Miljøfarlige stoffer der tilføres havmiljøet kan optages af havets organismer og bioakkumuleres op gennem fødekæden. Stofferne bioakkumuleres, når koncentrationen af stoffet, som optages i organismerne, er større end den koncentration organismerne udskiller. Formålet med overvågningen af forurenende stoffer i fisk og skaldyr til konsumer at tilvejebringe et grundlag for at de forurenende stoffer, der tilføres fisk og skaldyr til konsum, ikke overstiger de niveauer der er fastlagt i fællesskabslovgivningen eller øvrige standarder. Koncentrationen af forurenende stoffer i fisk og skaldyr overvåges gennem to hovedaktiviteter; Fødevarestyrelsens stikprøvekontrol, samt NOVANA-overvågningsprogrammet. 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.
Miljøfarlige stoffer der tilføres havmiljøet kan optages af havets organismer og bioakkumuleres op gennem fødekæden. Stofferne bioakkumuleres, når koncentrationen af stoffet, som optages i organismerne, er større end den koncentration organismerne udskiller. Formålet med overvågningen af forurenende stoffer i fisk og skaldyr til konsumer at tilvejebringe et grundlag for at de forurenende stoffer, der tilføres fisk og skaldyr til konsum, ikke overstiger de niveauer der er fastlagt i fællesskabslovgivningen eller øvrige standarder. Koncentrationen af forurenende stoffer i fisk og skaldyr overvåges gennem to hovedaktiviteter; Fødevarestyrelsens stikprøvekontrol, samt NOVANA-overvågningsprogrammet. 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.
Coverage of GES criteria
Adequate monitoring is in place by July 2020
Adequate monitoring is in place by July 2020
Adequate monitoring is in place by July 2020
Gaps and plans
Overvågningsprogrammet er tilstrækkeligt.
Overvågningsprogrammet er tilstrækkeligt.
Overvågningsprogrammet er tilstrækkeligt.
Related targets
Coverage of targets
Adequate monitoring is in place by July 2020
Adequate monitoring is in place by July 2020
Adequate monitoring is in place by July 2020
Related measures
Coverage of measures
Adequate monitoring is in place by July 2020
Adequate monitoring is in place by July 2020
Adequate monitoring is in place by July 2020
Related monitoring programmes
  • DK-D09-01
  • DK-D09-01
  • DK-D09-01
Programme code
DK-D09-01
DK-D09-01
DK-D09-01
Programme name
Contaminant levels - in species, including seafood
Contaminant levels - in species, including seafood
Contaminant levels - in species, including seafood
Update type
Modified from 2014
Modified from 2014
Modified from 2014
Old programme codes
  • ANSDK-D09-01_CONTAMINAN_species
  • BALDK-D09-01_CONTAMIN_species
  • ANSDK-D09-01_CONTAMINAN_species
  • BALDK-D09-01_CONTAMIN_species
  • ANSDK-D09-01_CONTAMINAN_species
  • BALDK-D09-01_CONTAMIN_species
Programme description
Fødevarestyrelsen kontrollerer og analyserer indholdet af forurenende stoffer i spisefisk og skaldyr efter en EU forordning. Heri er der beskrevet grænseværdier for bl.a. bly, cadmium, kviksølv, dioxin og PCB i fisk, som er relevant for havstrategiens overvågning. Koncentrationen af de relevante stoffer måles typisk i dyrenes fedtvæv eller muskelkød. Fødevarestyrelsen fører desuden løbende kontrol med koncentrationer af dioxiner og PCB i Østersøregionen efter en henstilling om øget overvågning og forvaltning for disse stoffer i fisk og fiskevarer. Ud over Fødevarestyrelsens stikprøvekontrol gennemføres der under NOVANA en supplerende over-vågningen af benz(a)pyren i blåmuslinger. Ydermere overvåges de danske emissionsudledninger, herunder dioxinudledninger, gennem det nationale luftprogram. De danske emissionsopgørelser uploades hvert år til EU's database Eionet af Aarhus Universitet og indrapporteres hvert 4 år.
Fødevarestyrelsen kontrollerer og analyserer indholdet af forurenende stoffer i spisefisk og skaldyr efter en EU forordning. Heri er der beskrevet grænseværdier for bl.a. bly, cadmium, kviksølv, dioxin og PCB i fisk, som er relevant for havstrategiens overvågning. Koncentrationen af de relevante stoffer måles typisk i dyrenes fedtvæv eller muskelkød. Fødevarestyrelsen fører desuden løbende kontrol med koncentrationer af dioxiner og PCB i Østersøregionen efter en henstilling om øget overvågning og forvaltning for disse stoffer i fisk og fiskevarer. Ud over Fødevarestyrelsens stikprøvekontrol gennemføres der under NOVANA en supplerende over-vågningen af benz(a)pyren i blåmuslinger. Ydermere overvåges de danske emissionsudledninger, herunder dioxinudledninger, gennem det nationale luftprogram. De danske emissionsopgørelser uploades hvert år til EU's database Eionet af Aarhus Universitet og indrapporteres hvert 4 år.
Fødevarestyrelsen kontrollerer og analyserer indholdet af forurenende stoffer i spisefisk og skaldyr efter en EU forordning. Heri er der beskrevet grænseværdier for bl.a. bly, cadmium, kviksølv, dioxin og PCB i fisk, som er relevant for havstrategiens overvågning. Koncentrationen af de relevante stoffer måles typisk i dyrenes fedtvæv eller muskelkød. Fødevarestyrelsen fører desuden løbende kontrol med koncentrationer af dioxiner og PCB i Østersøregionen efter en henstilling om øget overvågning og forvaltning for disse stoffer i fisk og fiskevarer. Ud over Fødevarestyrelsens stikprøvekontrol gennemføres der under NOVANA en supplerende over-vågningen af benz(a)pyren i blåmuslinger. Ydermere overvåges de danske emissionsudledninger, herunder dioxinudledninger, gennem det nationale luftprogram. De danske emissionsopgørelser uploades hvert år til EU's database Eionet af Aarhus Universitet og indrapporteres hvert 4 år.
Monitoring purpose
  • Human activities causing the pressures
  • Pressures at source
  • Pressures in the marine environment
  • Human activities causing the pressures
  • Pressures at source
  • Pressures in the marine environment
  • Human activities causing the pressures
  • Pressures at source
  • Pressures in the marine environment
Other policies and conventions
  • Foodstuffs Regulation
  • HELCOM Monitoring programmes
  • OSPAR Coordinated Environmental Monitoring Programme
  • Foodstuffs Regulation
  • HELCOM Monitoring programmes
  • OSPAR Coordinated Environmental Monitoring Programme
  • Foodstuffs Regulation
  • HELCOM Monitoring programmes
  • OSPAR Coordinated Environmental Monitoring Programme
Regional cooperation - coordinating body
  • HELCOM
  • OSPAR
  • HELCOM
  • OSPAR
  • HELCOM
  • OSPAR
Regional cooperation - countries involved
Regional cooperation - implementation level
Agreed data collection methods
Agreed data collection methods
Agreed data collection methods
Monitoring details
Features
Contaminants – in seafood
Contaminants – in seafood
Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) – diffuse sources, point sources, atmospheric deposition, acute events
Contaminants – in seafood
Contaminants – in seafood
Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) – diffuse sources, point sources, atmospheric deposition, acute events
Contaminants – in seafood
Contaminants – in seafood
Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) – diffuse sources, point sources, atmospheric deposition, acute events
Contaminants – in seafood
Contaminants – in seafood
Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) – diffuse sources, point sources, atmospheric deposition, acute events
Elements
  • Cadmium and its compounds
  • Dioxin-like polychlorinated biphenyls (12 PCB-DLs: 77,81,105,114,118,123,126,156,157,167,169,189)
  • Lead and its compounds
  • Mercury and its compounds
  • Non-dioxin like PCB (sum of 6 PCB: 28, 52, 101, 138, 153 and 180)
  • Sum of dioxins (WHO-PCDD/F-TEQ)
  • Sum of PAHs (Benzo(a)pyrene, Benzo(b)fluoranthene, Benzo(k)fluoranthene, Indeno(1,2,3-cd)pyrene)
  • Not Applicable
GES criteria
D9C1
D9C1
D9C1
Parameters
  • Other
  • Other
  • Other
Parameter Other
https://www2.mst.dk/Udgiv/publikationer/2020/07/97
https://bios.au.dk/fileadmin/bioscience/Fagdatacen
https://www2.mst.dk/Udgiv/publikationer/2020/07/97
Spatial scope
  • EEZ (or similar)
  • EEZ (or similar)
  • EEZ (or similar)
Marine reporting units
  • ANS-DK-OSPAR-TOTAL
  • BAL-DK-HELCOM-TOTAL
  • ANS-DK-OSPAR-TOTAL
  • BAL-DK-HELCOM-TOTAL
  • ANS-DK-OSPAR-TOTAL
  • BAL-DK-HELCOM-TOTAL
Temporal scope (start date - end date)
1998-9999
1998-9999
1998-9999
Monitoring frequency
Yearly
Yearly
Yearly
Monitoring type
  • Administrative data collection
  • In-situ sampling coastal
  • Administrative data collection
  • In-situ sampling coastal
  • Administrative data collection
  • In-situ sampling coastal
Monitoring method
  • OSPAR CEMP Guidelines for Monitoring Contaminants in Biota (Agreement 1999-02). Revision 2018
  • Other monitoring method
  • WFD Guidance document n.° 25 - Chemical Monitoring of Sediment and Biota
  • OSPAR CEMP Guidelines for Monitoring Contaminants in Biota (Agreement 1999-02). Revision 2018
  • Other monitoring method
  • WFD Guidance document n.° 25 - Chemical Monitoring of Sediment and Biota
  • OSPAR CEMP Guidelines for Monitoring Contaminants in Biota (Agreement 1999-02). Revision 2018
  • Other monitoring method
  • WFD Guidance document n.° 25 - Chemical Monitoring of Sediment and Biota
Monitoring method other
https://bios.au.dk/fileadmin/bioscience/Fagdatacentre/MarintFagdatacenter/TekniskeAnvisninger2011_2015/TA_M22_Miljoefarlige_stoffer_i_muslinger_ver2.pdf
https://bios.au.dk/fileadmin/bioscience/Fagdatacentre/MarintFagdatacenter/TekniskeAnvisninger2011_2015/TA_M22_Miljoefarlige_stoffer_i_muslinger_ver2.pdf
https://bios.au.dk/fileadmin/bioscience/Fagdatacentre/MarintFagdatacenter/TekniskeAnvisninger2011_2015/TA_M22_Miljoefarlige_stoffer_i_muslinger_ver2.pdf
Quality control
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.
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.
I Danmark kvalitetssikres størstedelen af de danske overvågningsdata i den nationale database (VanDa) ved tre kvalitetssikringsniveauer: 1. Elektronisk kontrol – den automatiske kontrol alle indtastninger undergår, når der registreres data i VanDa 2. Faglig kontrol – automatisk/manuel vurdering af data og data serier i VanDa. 3. Fagdatacenter kontrol – manuel vurdering af data og dataserier udført af fagdatacentret. Hvis data ikke indrapporteres til den nationale database kvalitetssikres data af konsulenten, der udfører overvågningsopgaven, samt MFVM efter metoderne beskrevet i nationale tekniske anvisninger eller internationale guidelines.
Data management
Data access
Related indicator/name
Contact
Cekan@mst.dk
Cekan@mst.dk
Cekan@mst.dk
References