Member State report / Art8 / 2018 / D3 / Netherlands / NE Atlantic: Greater North Sea

Report type Member State report to Commission
MSFD Article Art. 8 Initial assessment (and Art. 17 updates)
Report due 2018-10-15
GES Descriptor D3 Commercial fish and shellfish
Member State Netherlands
Region/subregion NE Atlantic: Greater North Sea
Reported by Rijkswaterstaat Centre for Water management, Ministry of infrastructure and the environment
Report date 2019-04-15
Report access XML_ART8GES_201904091515.xml

OSPAR Greater NorthSea (L1.2)

GES component
D3
D3
D3
D3
D3
D3
D3
D3
D3
D3
D3
D3
D3
D3
D3
D3
D3
D3
D3
D3
D3
D3
D3
D3
D3
D3
D3
D3
D3
D3
Feature
Commercially exploited fish and shellfish
Commercially exploited fish and shellfish
Commercially exploited fish and shellfish
Commercially exploited fish and shellfish
Commercially exploited fish and shellfish
Commercially exploited fish and shellfish
Commercially exploited fish and shellfish
Commercially exploited fish and shellfish
Commercially exploited fish and shellfish
Commercially exploited fish and shellfish
Commercially exploited fish and shellfish
Commercially exploited fish and shellfish
Commercially exploited fish and shellfish
Commercially exploited fish and shellfish
Commercially exploited fish and shellfish
Commercially exploited fish and shellfish
Commercially exploited fish and shellfish
Commercially exploited fish and shellfish
Commercially exploited fish and shellfish
Commercially exploited fish and shellfish
Commercially exploited fish and shellfish
Commercially exploited fish and shellfish
Commercially exploited fish and shellfish
Commercially exploited fish and shellfish
Commercially exploited fish and shellfish
Commercially exploited fish and shellfish
Commercially exploited fish and shellfish
Commercially exploited fish and shellfish
Commercially exploited fish and shellfish
Commercially exploited fish and shellfish
Element
Clupea harengus
Clupea harengus
Dicentrarchus labrax
Gadus morhua
Gadus morhua
Melanogrammus aeglefinus
Melanogrammus aeglefinus
Merlangius merlangus
Merlangius merlangus
Merluccius merluccius
Merluccius merluccius
Nephrops norvegicus
Nephrops norvegicus
Nephrops norvegicus
Nephrops norvegicus
Nephrops norvegicus
Nephrops norvegicus
Nephrops norvegicus
Nephrops norvegicus
Pandalus borealis
Pandalus borealis
Pleuronectes platessa
Pleuronectes platessa
Pollachius virens
Pollachius virens
Scomber scombrus
Scomber scombrus
Solea solea (sin. vulgaris)
Solea solea (sin. vulgaris)
Squalus acanthias
Element code
126417
126417
126975
126436
126436
126437
126437
126438
126438
126484
126484
107254
107254
107254
107254
107254
107254
107254
107254
107649
107649
127143
127143
126441
126441
127023
127023
127160
127160
105923
Element code source
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Species (D1) http://www.marinespecies.org/
Element 2
Herring (Clupea harengus) in Subarea 4 and Divisions 3.a and 7.d, autumn spawners
Herring (Clupea harengus) in Subarea 4 and Divisions 3.a and 7.d, autumn spawners
Seabass (Dicentrarchus labrax) in Divisions IVb and c, VIIa, and VIId-h
Cod (Gadus morhua) in Subarea 4 and Divisions 7.d and 20
Cod (Gadus morhua) in Subarea 4 and Divisions 7.d and 20
Haddock (Melanogrammus aeglefinus) in Subarea 4, Division 6.a, and Subdivision 20
Haddock (Melanogrammus aeglefinus) in Subarea 4, Division 6.a, and Subdivision 20
Whiting (Merlangius merlangus) in Subarea 4 and Division 7.d
Whiting (Merlangius merlangus) in Subarea 4 and Division 7.d
Hake in Subareas 4, 6, and 7, and Divisions 3.a, 8.a-b, and 8.d, Northern stock
Hake in Subareas 4, 6, and 7, and Divisions 3.a, 8.a-b, and 8.d, Northern stock
Norway lobster (Nephrops norvegicus) in Division 4.a, Functional Unit 7
Norway lobster (Nephrops norvegicus) in Division 4.a, Functional Unit 7
Norway lobster (Nephrops norvegicus) in Division 4.b, Functional Unit 6
Norway lobster (Nephrops norvegicus) in Division 4.b, Functional Unit 6
Norway lobster (Nephrops norvegicus) in Division 4.b, Functional Unit 8
Norway lobster (Nephrops norvegicus) in Division 4.b, Functional Unit 8
Norway lobster (Nephrops norvegicus) in Division 4.b, Functional Unit 9
Norway lobster (Nephrops norvegicus) in Division 4.b, Functional Unit 9
Northern shrimp (Pandalus borealis) in Divisions IIIa West and IVa East
Northern shrimp (Pandalus borealis) in Divisions IIIa West and IVa East
Plaice (Pleuronectes platessa) in Subarea 4 (North Sea) and Subdivision 20
Plaice (Pleuronectes platessa) in Subarea 4 (North Sea) and Subdivision 20
Saithe (Pollachius virens) in Subareas 4, 6 and Division 3.a
Saithe (Pollachius virens) in Subareas 4, 6 and Division 3.a
Mackerel in the Northeast Atlantic (combined Southern, Western and North Sea spawning components)
Mackerel in the Northeast Atlantic (combined Southern, Western and North Sea spawning components)
Sole (Solea solea) in Subarea 4
Sole (Solea solea) in Subarea 4
Spurdog (Squalus acanthias) in the Northeast Atlantic
Element 2 code
bss-47
cod.27.47d20
cod.27.47d20
had.27.46a20
had.27.46a20
whg.27.47d
whg.27.47d
nep.fu.7
nep.fu.7
nep.fu.6
nep.fu.6
nep.fu.8
nep.fu.8
nep.fu.9
nep.fu.9
pan-sknd
pan-sknd
ple.27.420
ple.27.420
mac-nea
mac-nea
sol.27.4
sol.27.4
dgs-nea
Element 2 code source
Species (D3) http://vocab.ices.dk/?ref=357
Species (D3) http://vocab.ices.dk/?ref=357
Species (D3) http://vocab.ices.dk/?ref=357
Species (D3) http://vocab.ices.dk/?ref=357
Species (D3) http://vocab.ices.dk/?ref=357
Species (D3) http://vocab.ices.dk/?ref=357
Species (D3) http://vocab.ices.dk/?ref=357
Species (D3) http://vocab.ices.dk/?ref=357
Species (D3) http://vocab.ices.dk/?ref=357
Species (D3) http://vocab.ices.dk/?ref=357
Species (D3) http://vocab.ices.dk/?ref=357
Species (D3) http://vocab.ices.dk/?ref=357
Species (D3) http://vocab.ices.dk/?ref=357
Species (D3) http://vocab.ices.dk/?ref=357
Species (D3) http://vocab.ices.dk/?ref=357
Species (D3) http://vocab.ices.dk/?ref=357
Species (D3) http://vocab.ices.dk/?ref=357
Species (D3) http://vocab.ices.dk/?ref=357
Species (D3) http://vocab.ices.dk/?ref=357
Species (D3) http://vocab.ices.dk/?ref=357
Species (D3) http://vocab.ices.dk/?ref=357
Species (D3) http://vocab.ices.dk/?ref=357
Species (D3) http://vocab.ices.dk/?ref=357
Species (D3) http://vocab.ices.dk/?ref=357
Species (D3) http://vocab.ices.dk/?ref=357
Species (D3) http://vocab.ices.dk/?ref=357
Species (D3) http://vocab.ices.dk/?ref=357
Species (D3) http://vocab.ices.dk/?ref=357
Species (D3) http://vocab.ices.dk/?ref=357
Species (D3) http://vocab.ices.dk/?ref=357
Element source
CFP
CFP
CFP
CFP
CFP
CFP
CFP
CFP
CFP
CFP
CFP
CFP
CFP
CFP
CFP
CFP
CFP
CFP
CFP
CFP
CFP
CFP
CFP
CFP
CFP
CFP
CFP
CFP
CFP
CFP
Criterion
D3C1
D3C2
D3C2
D3C1
D3C2
D3C1
D3C2
D3C1
D3C2
D3C1
D3C2
D3C1
D3C2
D3C1
D3C2
D3C1
D3C2
D3C1
D3C2
D3C1
D3C2
D3C1
D3C2
D3C1
D3C2
D3C1
D3C2
D3C1
D3C2
D3C2
Parameter
Mortality rate / Mortality rate from fishing (F)
BIOM-SSB
BIOM-SSB
Mortality rate / Mortality rate from fishing (F)
BIOM-SSB
Mortality rate / Mortality rate from fishing (F)
BIOM-SSB
Mortality rate / Mortality rate from fishing (F)
BIOM-SSB
Mortality rate / Mortality rate from fishing (F)
BIOM-SSB
Mortality rate / Mortality rate from fishing (F)
BIOM-SSB
Mortality rate / Mortality rate from fishing (F)
BIOM-SSB
Mortality rate / Mortality rate from fishing (F)
BIOM-SSB
Mortality rate / Mortality rate from fishing (F)
BIOM-SSB
Mortality rate / Mortality rate from fishing (F)
BIOM-SSB
Mortality rate / Mortality rate from fishing (F)
BIOM-SSB
Mortality rate / Mortality rate from fishing (F)
BIOM-SSB
Mortality rate / Mortality rate from fishing (F)
BIOM-SSB
Mortality rate / Mortality rate from fishing (F)
BIOM-SSB
BIOM-SSB
Parameter other
Threshold value upper
0.33
1500000.0
12673.0
0.31
150000.0
0.19
132000.0
0.15
241837.0
0.28
45000.0
7.5
2767.0
8.12
858000.0
16.3
292000.0
11.8
262000.0
0.62
9900.0
0.21
564599.0
0.36
150000.0
0.22
3000000.0
0.2
37000.0
964563.0
Threshold value lower
Threshold qualitative
Threshold value source
Common Fisheries Policy
Common Fisheries Policy
Common Fisheries Policy
Common Fisheries Policy
Common Fisheries Policy
Common Fisheries Policy
Common Fisheries Policy
Common Fisheries Policy
Common Fisheries Policy
Common Fisheries Policy
Common Fisheries Policy
Common Fisheries Policy
Common Fisheries Policy
Common Fisheries Policy
Common Fisheries Policy
Common Fisheries Policy
Common Fisheries Policy
Common Fisheries Policy
Common Fisheries Policy
Common Fisheries Policy
Common Fisheries Policy
Common Fisheries Policy
Common Fisheries Policy
Common Fisheries Policy
Common Fisheries Policy
Common Fisheries Policy
Common Fisheries Policy
Common Fisheries Policy
Common Fisheries Policy
Common Fisheries Policy
Threshold value source other
Value achieved upper
0.23
2620920.0
15185.0
0.52
129050.0
0.4
202190.0
0.29
167262.0
0.23
303658.0
4.0
3000.0
13.3
773000.0
36.0
508000.0
20.0
421000.0
0.23
946584.0
0.41
257650.0
0.32
50247.0
Value achieved lower
0.158
1932120.0
9983.0
0.38
86598.0
156790.0
0.181
118740.0
238518.0
3.1
3000.0
12.7
737000.0
24.0
348000.0
241000.0
0.177
699976.0
0.24
169091.0
0.2
34673.0
Value unit
tonne
tonne
tonne
ratio
tonne
tonne
tonne
ratio
tonne
ratio
tonne
percentage
(number of) individuals
percentage
(number of) individuals
percentage
(number of) individuals
percentage
(number of) individuals
ratio
tonne
ratio
tonne
ratio
tonne
ratio
tonne
ratio
ratio
tonne
Value unit other
Proportion threshold value
Proportion value achieved
100.0
100.0
Proportion threshold value unit
% of population achieving threshold value
% of population achieving threshold value
% of population achieving threshold value
% of population achieving threshold value
% of population achieving threshold value
% of population achieving threshold value
% of population achieving threshold value
% of population achieving threshold value
% of population achieving threshold value
% of population achieving threshold value
% of population achieving threshold value
% of population achieving threshold value
% of population achieving threshold value
% of population achieving threshold value
% of population achieving threshold value
% of population achieving threshold value
% of population achieving threshold value
% of population achieving threshold value
% of population achieving threshold value
% of population achieving threshold value
% of population achieving threshold value
% of population achieving threshold value
% of population achieving threshold value
% of population achieving threshold value
% of population achieving threshold value
% of population achieving threshold value
% of population achieving threshold value
% of population achieving threshold value
% of population achieving threshold value
% of population achieving threshold value
Trend
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Parameter achieved
Yes
Yes
No
No
No
No
Yes
Yes
No
Yes
Yes
Yes
Yes
No
No
Yes
Yes
Yes
No
Unknown
Unknown
Yes
Yes
Yes
Yes
Unknown
Unknown
Yes
No
Unknown
Description parameter
Related indicator
Criteria status
Not good
Not good
Not good
Not good
Not good
Not good
Not good
Not good
Not good
Not good
Not good
Not good
Not good
Not good
Not good
Not good
Not good
Not good
Not good
Not good
Not good
Not good
Not good
Not good
Not good
Not good
Not good
Not good
Not good
Not good
Description criteria
Element status
Good
Good
Unknown
Not good
Not good
Not good
Not good
Not good
Not good
Good
Good
Good
Good
Not good
Not good
Good
Good
Not good
Not good
Not good
Not good
Good
Good
Good
Good
Not good
Not good
Not good
Not good
Good
Description element
Integration rule type parameter
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Integration rule description parameter
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
Integration rule type criteria
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Integration rule description criteria
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
No integration
GES extent threshold
100.00
100.00
100.00
100.00
100.00
100.00
100.00
100.00
100.00
100.00
100.00
100.00
100.00
100.00
100.00
100.00
100.00
100.00
100.00
100.00
100.00
100.00
100.00
100.00
100.00
100.00
100.00
100.00
100.00
100.00
GES extent achieved
26.00
26.00
26.00
26.00
26.00
26.00
26.00
26.00
26.00
26.00
26.00
26.00
26.00
26.00
26.00
26.00
26.00
26.00
26.00
26.00
26.00
26.00
26.00
26.00
26.00
26.00
26.00
26.00
26.00
26.00
GES extent unit
Proportion of populations in good status
Proportion of populations in good status
Proportion of populations in good status
Proportion of populations in good status
Proportion of populations in good status
Proportion of populations in good status
Proportion of populations in good status
Proportion of populations in good status
Proportion of populations in good status
Proportion of populations in good status
Proportion of populations in good status
Proportion of populations in good status
Proportion of populations in good status
Proportion of populations in good status
Proportion of populations in good status
Proportion of populations in good status
Proportion of populations in good status
Proportion of populations in good status
Proportion of populations in good status
Proportion of populations in good status
Proportion of populations in good status
Proportion of populations in good status
Proportion of populations in good status
Proportion of populations in good status
Proportion of populations in good status
Proportion of populations in good status
Proportion of populations in good status
Proportion of populations in good status
Proportion of populations in good status
Proportion of populations in good status
GES achieved
GES expected to be achieved by 2020
GES expected to be achieved by 2020
GES expected to be achieved by 2020
GES expected to be achieved by 2020
GES expected to be achieved by 2020
GES expected to be achieved by 2020
GES expected to be achieved by 2020
GES expected to be achieved by 2020
GES expected to be achieved by 2020
GES expected to be achieved by 2020
GES expected to be achieved by 2020
GES expected to be achieved by 2020
GES expected to be achieved by 2020
GES expected to be achieved by 2020
GES expected to be achieved by 2020
GES expected to be achieved by 2020
GES expected to be achieved by 2020
GES expected to be achieved by 2020
GES expected to be achieved by 2020
GES expected to be achieved by 2020
GES expected to be achieved by 2020
GES expected to be achieved by 2020
GES expected to be achieved by 2020
GES expected to be achieved by 2020
GES expected to be achieved by 2020
GES expected to be achieved by 2020
GES expected to be achieved by 2020
GES expected to be achieved by 2020
GES expected to be achieved by 2020
GES expected to be achieved by 2020
Description overall status
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
All elements, i.e. all 27 assessed commercial stocks, must be in good environmental condition. According to the objectives of the CFP, by 2020 at the latest, all fish stocks will be managed in such a way that they comply with F = Fmsy and a spawning biomass above the MSYBlim precautionary level. The dataset entitled “ICES Official Nominal Catches 2006–2014” (Official acknowledgment: “Version 12-05-2016. Accessed 30-05-2016 via http://www.ices.dk/marinedata/dataset-collections/Pages/Fish -catch-and-stock-assessment.aspx ICES, Copenhagen ”) was used to calculate the percentages for the redistribution of catches among the different ecoregions. The 2014 catches of relevant species and regions were selected from this dataset. These catches were then allocated to an ecoregion. After this, the proportion of the catch in relation to the total catch is calculated for each ecoregion. This proportion has been applied to the stock catches.
Assessments period
2014-2014
2014-2014
2014-2014
2014-2014
2014-2014
2014-2014
2014-2014
2014-2014
2014-2014
2014-2014
2014-2014
2014-2014
2014-2014
2014-2014
2014-2014
2014-2014
2014-2014
2014-2014
2014-2014
2014-2014
2014-2014
2014-2014
2014-2014
2014-2014
2014-2014
2014-2014
2014-2014
2014-2014
2014-2014
2014-2014
Related pressures
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
Related targets
  • ANSNL-D4T1
  • ANSNL-D4T1
  • ANSNL-D4T1
  • ANSNL-D4T1
  • ANSNL-D4T1
  • ANSNL-D4T1
  • ANSNL-D4T1
  • ANSNL-D4T1
  • ANSNL-D4T1
  • ANSNL-D4T1
  • ANSNL-D4T1
  • ANSNL-D4T1
  • ANSNL-D4T1
  • ANSNL-D4T1
  • ANSNL-D4T1
  • ANSNL-D4T1
  • ANSNL-D4T1
  • ANSNL-D4T1
  • ANSNL-D4T1
  • ANSNL-D4T1
  • ANSNL-D4T1
  • ANSNL-D4T1
  • ANSNL-D4T1
  • ANSNL-D4T1
  • ANSNL-D4T1
  • ANSNL-D4T1
  • ANSNL-D4T1
  • ANSNL-D4T1
  • ANSNL-D4T1
  • ANSNL-D4T1