Member State report / Art8 / 2018 / D3 / Italy / Mediterranean: Adriatic 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 Italy
Region/subregion Mediterranean: Adriatic Sea
Reported by ISPRA - Italian National Institute for Environmental Protection and Research
Report date 2020-10-01
Report access MSFD_2018_ART8_GES_IT_2020-07-31.xml

Mediterranean Sea: Adriatic Sea (IT-AS-0001)

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
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
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
Eledone cirrhosa
Eledone cirrhosa
Eledone cirrhosa
Eledone cirrhosa
Eledone cirrhosa
Eledone cirrhosa
Eledone moschata
Eledone moschata
Eledone moschata
Eledone moschata
Engraulis encrasicolus
Engraulis encrasicolus
Engraulis encrasicolus
Lophius budegassa
Lophius budegassa
Lophius budegassa
Lophius piscatorius
Lophius piscatorius
Lophius piscatorius
Merluccius merluccius
Merluccius merluccius
Merluccius merluccius
Mullus barbatus
Mullus barbatus
Mullus barbatus
Nephrops norvegicus
Nephrops norvegicus
Nephrops norvegicus
Parapenaeus longirostris
Parapenaeus longirostris
Parapenaeus longirostris
Sardina pilchardus
Sardina pilchardus
Sardina pilchardus
Sepia officinalis
Sepia officinalis
Sepia officinalis
Solea solea (sin. vulgaris)
Solea solea (sin. vulgaris)
Solea solea (sin. vulgaris)
Squilla mantis
Squilla mantis
Squilla mantis
Squilla mantis
Squilla mantis
Squilla mantis
Element code
140600
140600
140600
140600
140600
140600
140601
140601
140601
140601
126426
126426
126426
126554
126554
126554
126555
126555
126555
126484
126484
126484
126985
126985
126985
107254
107254
107254
107109
107109
107109
126421
126421
126421
138477
138477
138477
127160
127160
127160
136137
136137
136137
136137
136137
136137
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/
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
Horned octopus (Eledone cirrhosa) in GSA 17 (Adriatic Sea)
Horned octopus (Eledone cirrhosa) in GSA 17 (Adriatic Sea)
Horned octopus (Eledone cirrhosa) in GSA 17 (Adriatic Sea)
Horned octopus (Eledone cirrhosa) in GSA 18 (Adriatic Sea)
Horned octopus (Eledone cirrhosa) in GSA 18 (Adriatic Sea)
Horned octopus (Eledone cirrhosa) in GSA 18 (Adriatic Sea)
Musky octopus (Eledone moschata) in GSA 18 (Adriatic Sea)
Musky octopus (Eledone moschata) in GSA 18 (Adriatic Sea)
Musky octopus (Eledone moschata) in GSA 18 (Adriatic Sea)
Musky octopus (Eledone moschata) in GSA 18 (Adriatic Sea)
Anchovy (Engraulis encrasicolus) in GSA 17-18 (Adriatic Sea)
Anchovy (Engraulis encrasicolus) in GSA 17-18 (Adriatic Sea)
Anchovy (Engraulis encrasicolus) in GSA 17-18 (Adriatic Sea)
Monkfishes nei (Lophius spp) in GSA 18 (Adriatic Sea)
Monkfishes nei (Lophius spp) in GSA 18 (Adriatic Sea)
Monkfishes nei (Lophius spp) in GSA 18 (Adriatic Sea)
Monkfishes nei (Lophius spp) in GSA 18 (Adriatic Sea)
Monkfishes nei (Lophius spp) in GSA 18 (Adriatic Sea)
Monkfishes nei (Lophius spp) in GSA 18 (Adriatic Sea)
European hake (Merluccius merluccius) in GSA 17-18 (Adriatic Sea)
European hake (Merluccius merluccius) in GSA 17-18 (Adriatic Sea)
European hake (Merluccius merluccius) in GSA 17-18 (Adriatic Sea)
Red mullet (Mullus barbatus) in GSA 17-18 (Adriatic Sea)
Red mullet (Mullus barbatus) in GSA 17-18 (Adriatic Sea)
Red mullet (Mullus barbatus) in GSA 17-18 (Adriatic Sea)
Norway lobster (Nephrops norvegicus) in GSA 17-18 (Adriatic Sea)
Norway lobster (Nephrops norvegicus) in GSA 17-18 (Adriatic Sea)
Norway lobster (Nephrops norvegicus) in GSA 17-18 (Adriatic Sea)
Deep-water rose shrimp (Parapenaeus longirostris) in GSA 17-18 (Adriatic Sea)
Deep-water rose shrimp (Parapenaeus longirostris) in GSA 17-18 (Adriatic Sea)
Deep-water rose shrimp (Parapenaeus longirostris) in GSA 17-18 (Adriatic Sea)
Sardine (Sardina Pilchardus) in GSA 17-18 (Adriatic Sea)
Sardine (Sardina Pilchardus) in GSA 17-18 (Adriatic Sea)
Sardine (Sardina Pilchardus) in GSA 17-18 (Adriatic Sea)
Common cuttlefish (Sepia officinalis) in GSA 17 (Adriatic Sea)
Common cuttlefish (Sepia officinalis) in GSA 17 (Adriatic Sea)
Common cuttlefish (Sepia officinalis) in GSA 17 (Adriatic Sea)
Common sole (Solea solea) in GSA 17 (Adriatic Sea)
Common sole (Solea solea) in GSA 17 (Adriatic Sea)
Common sole (Solea solea) in GSA 17 (Adriatic Sea)
Spottail mantis squillid (Squilla mantis) in GSA 17 (Adriatic Sea)
Spottail mantis squillid (Squilla mantis) in GSA 17 (Adriatic Sea)
Spottail mantis squillid (Squilla mantis) in GSA 17 (Adriatic Sea)
Spottail mantis squillid (Squilla mantis) in GSA 17-18 (Adriatic Sea)
Spottail mantis squillid (Squilla mantis) in GSA 17-18 (Adriatic Sea)
Spottail mantis squillid (Squilla mantis) in GSA 17-18 (Adriatic Sea)
Element 2 code
eoi.17
eoi.17
eoi.17
eoi.18
eoi.18
eoi.18
edt.18
edt.18
edt.18
eoi.18
ane.1718
ane.1718
ane.1718
mnz.18
mnz.18
mnz.18
mnz.18
mnz.18
mnz.18
hke.1718
hke.1718
hke.1718
mut.1718
mut.1718
mut.1718
nep.1718
nep.1718
nep.1718
dps.1718
dps.1718
dps.1718
pil.1718
pil.1718
pil.1718
ctc.17
ctc.17
ctc.17
sol.17
sol.17
sol.17
mts.17
mts.17
mts.17
mts.18
mts.18
mts.18
Element 2 code source
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Species (D3) http://www.fao.org/fishery/collection/asfis/en
Element source
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
Criterion
D3C1
D3C2
D3C3
D3C1
D3C2
D3C3
D3C1
D3C2
D3C3
D3C1
D3C2
D3C3
D3C1
D3C2
D3C3
D3C1
D3C2
D3C3
D3C1
D3C2
D3C3
D3C1
D3C2
D3C3
D3C1
D3C2
D3C3
D3C1
D3C2
D3C3
D3C1
D3C2
D3C3
D3C1
D3C2
D3C3
D3C1
D3C2
D3C3
D3C1
D3C2
D3C3
D3C1
D3C2
D3C3
Parameter
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
Parameter other
Threshold value upper
0.64
45936.0
0.21
100271.0
0.55
3977.0
0.21
6616.0
0.9
1028.0
0.47
125318.0
0.48
9940.0
0.26
5263.0
0.51
6417.0
0.38
Threshold value lower
Threshold qualitative
Threshold value source
Common Fisheries Policy
General Fisheries Commission for the Mediterranean
Common Fisheries Policy
General Fisheries Commission for the Mediterranean
Common Fisheries Policy
General Fisheries Commission for the Mediterranean
Common Fisheries Policy
General Fisheries Commission for the Mediterranean
Common Fisheries Policy
General Fisheries Commission for the Mediterranean
Common Fisheries Policy
General Fisheries Commission for the Mediterranean
Common Fisheries Policy
General Fisheries Commission for the Mediterranean
Common Fisheries Policy
General Fisheries Commission for the Mediterranean
Common Fisheries Policy
General Fisheries Commission for the Mediterranean
Common Fisheries Policy
General Fisheries Commission for the Mediterranean
Threshold value source other
Value achieved upper
1.43
57469.0
0.33
59335.0
0.2
18394.0
0.49
2119.0
0.43
1644.0
1.3
161294.0
0.39
6980.0
0.41
6567.0
0.99
3219.0
0.65
14071.0
Value achieved lower
Value unit
Other
tonne
Other
tonne
Other
tonne
Other
tonne
Other
tonne
Other
tonne
Other
tonne
Other
tonne
Other
tonne
Other
tonne
Value unit other
Natural logarithm of the ratio individuals over time
Natural logarithm of the ratio individuals over time
Natural logarithm of the ratio individuals over time
Natural logarithm of the ratio individuals over time
Natural logarithm of the ratio individuals over time
Natural logarithm of the ratio individuals over time
Natural logarithm of the ratio individuals over time
Natural logarithm of the ratio individuals over time
Natural logarithm of the ratio individuals over time
Natural logarithm of the ratio individuals over time
Proportion threshold value
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
Proportion value achieved
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
Trend
Deteriorating
Unknown
Deteriorating
Deteriorating
Improving
Unknown
Deteriorating
Deteriorating
Improving
Unknown
Deteriorating
Deteriorating
Unknown
Unknown
Improving
Improving
Unknown
Improving
Improving
Improving
Parameter achieved
No
Yes
No
No
Yes
Yes
No
No
Yes
Yes
No
Yes
Yes
No
No
Yes
No
No
No
Not assessed
Description parameter
Related indicator
  • URL
  • URL
  • URL
  • URL
  • URL
  • URL
  • URL
  • URL
  • URL
  • URL
  • URL
  • URL
  • URL
  • URL
  • URL
  • URL
  • URL
  • URL
  • URL
  • URL
Criteria status
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not good
Good
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not good
Not good
Not assessed
Good
Good
Not assessed
Not good
Not good
Not assessed
Good
Good
Not assessed
Not good
Good
Not assessed
Good
Not good
Not assessed
Not good
Good
Not assessed
Not good
Not good
Not assessed
Not good
Unknown
Not assessed
Description criteria
Element status
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not good
Not good
Not good
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not assessed
Not good
Not good
Not good
Good
Good
Good
Not good
Not good
Not good
Good
Good
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 element
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C1, D3C2 e D3C3 not assessed. Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed. Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed. Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed. Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed. Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed. Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed. Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
D3C3 not assessed- Stock selected being included as main stock or associated stock in the National Management Plan for demersal resources, i.e. "Decreto Ministeriale 30 gennaio 2018 - Adozione dei Piani di gestione nazionale relativi alle flotte di pesca per la cattura delle risorse demersali nell'ambito delle GSA 9, GSA 10, GSA 11, GSA 16, GSA 17 e 18, GSA 19".
Integration rule type parameter
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Integration rule description parameter
Integration rule type criteria
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
TREE
Integration rule description criteria
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
To the purpose of this assessment we considered only D3C1 anbd D3C2 criteria, since methodologies for assessing D3C3 criteria are not yet consolidated at Mediterranean and suregional level. for GES assessement at stock level, the outcomes of assessments of criteria D3C1 and D3C2 were integrated: i) when both criteria provided a "good" status, the related stock was considered to be in "good" status; ii) when according to at least one criteria stock was assesed as being "no" good, the stock was reported to be in "no" good status; iii) when no criteria was available, or only one criteria was applied indicating the presence of a "good" status, status status was defined as being "unknown". GES was expressed as number (and percentage) of stocks that were in good status, no good status and unkonwn status.
GES extent threshold
GES extent achieved
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
14.28
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
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 later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
GES expected to be achieved later than 2020, no Article 14 exception reported
Description overall status
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
As already known for the Mediterranean Sea, large share of the stocks assessed within each subregion is subject to unsustainable exploitation. In general, this condition is determined by excessive fishing mortality and, in some cases, inadequate spawning stock biomass. In addition, a high percentage of stocks (in particular in the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions) is not analytically assessed via stock assessment. In details, the Adriatic Sea is the subregion with the highest percentage of stocks within biological limits (14%); however, at the same time, it is the subregion presenting the highest percentage of stocks showing inadequate conditions (above 50% of stocks). In both the Western Mediterranean Sea and the Central Mediterranean and Ionian Sea subregions 76% of stocks are not assessed. However, while in the first case of the remaining stocks the 7% are in good conditions and 17% are not in good status, in the in the Central Mediterranean and Ionian Sea subregion all the remaining stocks (24%) are not within safe biological limits. Analyses to assess the status of each single stock in relation to F and SSB were applied according to the approach used by UNEP-MAP, 2018 (i.e. 2017 Mediterranean Quality Status Report, 539pp.), updated utilizing the lastest stock assessment from GFCM and STECF.
Assessments period
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
2012-2017
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)
  • 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
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4
  • T1.3
  • T3.1
  • T3.2
  • T3.3
  • T3.4