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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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 |
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