Member State report / Art8 / 2012 / D1-M / Ireland / NE Atlantic: Celtic Seas

Report type Member State report to Commission
MSFD Article Art. 8 Initial assessment (and Art. 17 updates)
Report due 2012-10-15
GES Descriptor D1 Mammals
Member State Ireland
Region/subregion NE Atlantic: Celtic Seas
Reported by 1
Report date 1970-11-11
Report access ACSIE_MSFD8aFeatures_20130426.xml

Irish Assesment Area

Topic
Species distribution
Species distribution
SpeciesPopulation
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
SpeciesOverall
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
SpeciesOverall
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
SpeciesOverall
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
SpeciesOverall
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
SpeciesOverall
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
SpeciesOverall
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
SpeciesOverall
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
SpeciesOverall
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
SpeciesOverall
SpeciesOverall
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
Species distribution
Species distribution
SpeciesPopulation
SpeciesPopulation
SpeciesCondition
SpeciesCondition
SpeciesOverall
SpeciesOverall
SpeciesOverall
SpeciesOverall
SpeciesOverall
SpeciesOverall
Reporting Feature
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
BySpeciesName
Indicator
1.1.1
1.1.2
3.1.1
3.2.1
3.3.1
3.3.3
3.1.1
3.2.1
1.1.1
1.1.2
3.2.2
3.3.1
3.3.3
GESOther
1.1.1
1.1.2
3.1.1
3.2.1
3.3.1
3.3.3
3.1.1
3.2.1
1.1.1
1.1.2
3.1.1
3.2.1
3.3.1
3.3.3
3.1.1
3.2.1
1.1.1
1.1.2
3.1.1
3.2.1
3.3.1
3.3.3
3.1.1
3.2.1
1.1.1
1.1.2
3.1.1
3.2.1
3.3.1
3.3.3
3.1.1
3.2.1
1.1.1
1.1.2
3.1.1
3.2.1
3.3.1
3.3.3
3.1.1
3.2.1
1.1.1
1.1.2
3.1.1
3.2.1
3.3.1
3.3.3
3.1.1
3.2.1
1.1.1
1.1.2
3.1.1
3.3.1
3.3.3
3.1.1
1.1.1
1.1.2
3.1.1
3.2.1
3.3.1
3.3.3
3.1.1
3.2.1
1.1.1
1.1.2
3.1.1
3.2.1
3.3.3
3.3.4
3.1.1
3.2.1
1.1.1
1.1.2
3.1.1
3.2.1
3.3.1
3.3.3
3.1.1
3.2.1
1.1.1
1.1.2
3.1.1
3.2.1
3.3.1
3.3.3
3.1.1
3.2.1
1.1.1
1.1.2
3.1.1
3.2.1
3.3.1
3.3.3
3.1.1
3.2.1
1.1.1
1.1.2
1.2.1
3.3.1
3.3.3
1.1.1
1.1.2
1.2.1
3.3.1
3.3.3
1.1.1
1.1.2
1.2.1
3.3.1
3.3.3
1.1.1
1.1.2
1.2.1
3.3.1
3.3.3
1.1.1
1.1.2
1.2.1
3.3.1
3.3.3
1.1.1
1.1.2
1.2.1
3.3.1
3.3.3
1.1.1
1.1.2
1.2.1
3.3.1
3.3.3
1.1.1
1.1.2
1.2.1
3.3.1
3.3.3
1.1.1
1.1.2
1.2.1
3.3.1
3.3.3
1.1.1
1.1.2
1.2.1
3.3.1
3.3.3
1.1.1
1.1.2
1.2.1
3.3.1
3.3.3
1.1.1
1.1.2
1.2.1
3.3.1
3.3.3
1.1.1
1.1.2
3.1.1
3.2.1
3.3.1
3.3.3
3.1.1
3.2.1
1.1.1
1.1.2
1.2.1
3.3.1
3.3.3
1.1.1
1.1.2
1.2.1
3.3.1
3.3.3
1.1.1
1.1.2
3.1.1
3.2.2
3.3.1
3.3.3
3.2.1
1.1.1
1.1.2
3.1.1
3.2.2
3.3.1
3.3.3
3.1.1
3.2.1
1.1.1
1.1.2
3.1.2
3.2.2
3.3.1
3.3.3
3.1.2
3.2.2
1.1.1
1.1.2
3.1.2
3.2.2
3.3.1
3.3.3
3.1.2
3.2.2
1.1.1
1.1.2
1.2.1
3.3.1
3.3.3
1.1.1
1.1.2
1.2.1
3.3.1
3.3.3
1.1.1
1.1.2
3.1.1
3.2.1
3.3.1
3.3.3
3.1.1
3.2.1
1.1.1
1.1.2
3.1.1
3.2.1
3.3.1
3.3.3
3.1.1
3.2.1
1.1.1
1.1.2
3.1.2
3.2.2
3.3.1
3.3.3
3.1.2
3.2.2
1.1.1
1.1.2
3.1.2
3.2.2
3.3.1
3.3.3
3.1.2
3.2.2
1.1.1
1.1.2
3.1.2
3.2.2
3.3.1
3.3.3
3.1.2
3.2.2
1.1.1
1.1.2
3.1.2
3.2.2
3.3.1
3.3.3
3.1.2
3.2.2
1.1.1
1.1.2
3.1.2
3.2.2
3.3.1
3.3.3
1.1.1
1.1.2
3.1.2
3.2.2
3.3.1
3.3.3
1.1.1
1.1.2
3.1.1
3.2.1
3.3.1
3.3.3
3.1.1
3.2.1
1.1.1
1.1.2
3.1.2
3.2.2
3.3.3
3.3.4
1.1.1
1.1.2
3.1.2
3.2.2
3.3.3
3.3.4
Threshold Value
Trends based assessment only.
Trends based assessment only.
FMSY (VIIe-k); FPA (VIa); FPA (VIIa)
MSY Btrigger (VIIe-k); BPA (VIa); BPA (VIIa)
Trends based assessment only
Trends based assessment only
FMSY and FPA
MSY Btrigger and BPA
Trends based assessment only.
Trends based assessment only.
Trends based assessment only.
Trends based assessment only.
Trends based assessment only.
Trends based assessment only.
Trends based assessment only.
Trends based assessment only.
FMSY
MSY Btrigger
Trends based assessment only
Trends based assessment only
FMSY
MSY Btrigger
Trends based assessment only.
Trends based assessment only.
FMSY
MSY Btrigger
Trends based assessment only.
Trends based assessment only.
FMSY
MSY Btrigger
Trends based assessment only.
Trends based assessment only.
FMSY
Qualitative evaluation against possible biomass reference points associated with MSY
Trends based assessment only.
Trends based assessment only.
Qualitative evaluation
Qualitative evaluation
Trends based assessment only.
Trends based assessment only.
FMSY
MSY Btrigger, Bpa and Blim
Trends based assessment only
Trends based assessment only
FMSY
MSY Btrigger, Bpa Blim
Trends based assessment only.
Trends based assessment only.
FMSY
MSY Btrigger
Trends based assessment only.
Trends based assessment only.
FMSY
MSY Btrigger
Trends based assessment only
Trends based assessment only
FMSY
Qualitative estimation of biomass in accordance with MSY
Trends based assessment only.
Trends based assessment only.
FMSY
Qualitative evaluation of biomass against possible biomass reference points (accordance with MSY))
Trends based assessment only
Trends based assessment only
FMSY
Trends based assessment only.
Trends based assessment only.
FMSY
Trends based assessment only.
Trends based assessment only.
FMSY
MSY Btrigger
Trends based assessment only
Trends based assessment only
FMSY
FMSY Btrigger
n/a
n/a
FMSY
BMSY
n/a
n/a
FMSY
BMSY
n/a
n/a
FMSY
BMSY
n/a
n/a
FMSY
MSY Btrigger
Trends based assessment only.
Trends based assessment only.
FMSY
B reference point is qualitative only
Trends based assessment only
Trends based assessment only
FMSY
B reference point is qualitative only
n/a
n/a
FMSY
MSY Btrigger
n/a
n/a
FMSY
MSY Btrigger
Annual mean values (and range) of catch depth and latitude were examined for temporal trends. Threshold for relative change in distribution have not been set.
Annual mean values (and range) of catch depth and latitude were examined for temporal trends. Threshold for relative change in distribution have not been set.
Thresholds are set as relative % change in population size (i.e. abundance and/or biomass) of catches. Thresholds of relative change are set as increases (or decreases) >15%.
Trends based assessment only.
Trends based assessment only.
Relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel and Rochet., 2009).
Relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel and Rochet., 2009).
Relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel and Rochet., 2009).
Relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel and Rochet., 2009).
Relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel and Rochet., 2009).
Annual mean values (and range) of catch depth and latitude were examined for temporal trends. Threshold for relative change in distribution have not been set.
Annual mean values (and range) of catch depth and latitude were examined for temporal trends. Threshold for relative change in distribution have not been set.
Thresholds are set as relative % change in population size (i.e. abundance and/or biomass) of catches. Thresholds of relative change are set as increases (or decreases) >15%.
Trends based assessment only
Trends based assessment only
Set as relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel & Rochet., 2009).
Set as relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel & Rochet., 2009).
Set as relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel & Rochet., 2009).
Set as relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel & Rochet., 2009).
Set as relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel & Rochet., 2009).
Annual mean values (and range) of catch depth and latitude were examined for temporal trends. Threshold for relative change in distribution have not been set.
Annual mean values (and range) of catch depth and latitude were examined for temporal trends. Threshold for relative change in distribution have not been set.
Thresholds are set as relative % change in population size (i.e. abundance and/or biomass) of catches. Thresholds of relative change are set as increases (or decreases) >15%.
Trends based assessment only.
Trends based assessment only.
Set as relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel & Rochet, 2009).
Set as relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel & Rochet, 2009).
Set as relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel & Rochet, 2009).
Set as relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel & Rochet, 2009).
Set as relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel & Rochet, 2009).
Annual mean values (and range) of catch depth and latitude were examined for temporal trends. Threshold for relative change in distribution have not been set.
Annual mean values (and range) of catch depth and latitude were examined for temporal trends. Threshold for relative change in distribution have not been set.
Thresholds are set as relative % change in population size (i.e. abundance and/or biomass) of catches. Thresholds of relative change are set as increases (or decreases) >15%.
Trends based assessment only.
Trends based assessment only.
Set as relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel & Rochet 2009).
Set as relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel & Rochet 2009).
Set as relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel & Rochet 2009).
Set as relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel & Rochet 2009).
Set as relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel & Rochet 2009).
Thresholds are set as relative % change in distribution (i.e. depth and latitude) of catches. Thresholds of relative change are set as increases (or decreases) >15%.
Thresholds are set as relative % change in distribution (i.e. depth and latitude) of catches. Thresholds of relative change are set as increases (or decreases) >15%.
Thresholds are set as relative % change in population size (i.e. abundance and/or biomass) of catches. Thresholds of relative change are set as increases (or decreases) >15%.
Trends based assessment only.
Trends based assessment only.
Set as relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel & Rochet, 2009).
Set as relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel & Rochet, 2009).
Set as relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel & Rochet, 2009).
Set as relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel & Rochet, 2009).
Set as relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel & Rochet, 2009).
Annual mean values (and range) of catch depth and latitude were examined for temporal trends. Threshold for relative change in distribution have not been set.
Annual mean values (and range) of catch depth and latitude were examined for temporal trends. Threshold for relative change in distribution have not been set.
Thresholds are set as relative % change in population size (i.e. abundance and/or biomass) of catches. Thresholds of relative change are set as increases (or decreases) >15%.
Trends based assessment only.
Trends based assessment only.
Set as relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel & Rochet, 2009).
Set as relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel & Rochet, 2009).
Set as relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel & Rochet, 2009).
Set as relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel & Rochet, 2009).
Set as relative % change in distribution and population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, increasing or decreasing trends are detected with intersection union tests (Trenkel & Rochet, 2009).
Trends based assessment only.
Trends based assessment only.
FMSY
MSY Btrigger
Trends based assessment only
Trends based assessment only
FMSY
MSY Btrigger
Trends based assessment only.
Trends based assessment only.
For Thornback ray the ratio of the last two years abundance estimates over the preceding five years was used with a threshold of 20%.
Trends based assessment only.
Trends based assessment only.
Relative % change in distribution & population size. Ratio of last two years abundance estimates over the previous five with a threshold of 20%. For population condition, trends are detected with intersection union tests (Trenkel & Rochet 2009).
Relative % change in distribution & population size. Ratio of last two years abundance estimates over the previous five with a threshold of 20%. For population condition, trends are detected with intersection union tests (Trenkel & Rochet 2009).
Relative % change in distribution & population size. Ratio of last two years abundance estimates over the previous five with a threshold of 20%. For population condition, trends are detected with intersection union tests (Trenkel & Rochet 2009).
Relative % change in distribution & population size. Ratio of last two years abundance estimates over the previous five with a threshold of 20%. For population condition, trends are detected with intersection union tests (Trenkel & Rochet 2009).
Relative % change in distribution & population size. Ratio of last two years abundance estimates over the previous five with a threshold of 20%. For population condition, trends are detected with intersection union tests (Trenkel & Rochet 2009).
n/a
n/a
n/a
n/a
n/a
n/a
Half of virgin biomass
n/a
n/a
FMSY
MSY Btrigger
n/a
n/a
FMSY
MSY Btrigger
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
Comparison of the two most recent index values with the three preceding values, combined with recent catch or landings data
Comparison of the two most recent index values with the three preceding values, combined with recent catch or landings data
n/a
n/a
Comparison of the two most recent index values with the three preceding values, combined with recent catch or landings data.
Comparison of the two most recent index values with the three preceding values, combined with recent catch or landings data.
Trends based assessment only
Trends based assessment only
For Cuckoo ray the ratio of the last two years abundance estimates over the preceding five years was used
Trends based assessment only
Trends based assessment only
Thresholds are set as relative change in distribution and population size indices
Thresholds are set as relative change in distribution and population size indices
Thresholds are set as relative change in distribution and population size indices
Thresholds are set as relative change in distribution and population size indices
Thresholds are set as relative change in distribution and population size indices
Trends based assessment only.
Trends based assessment only.
FMSY
MSY Btrigger
Trend based assessment.
Trend based assessment.
FMSY
MSY Btrigger
n/a
n/a
FMSY
MSY Btrigger
n/a
n/a
FMSY
MSY Btrigger
Thresholds are set as relative % change in distribution (i.e. depth and latitude) of catches i.e. relative % change are set increases or decreases >15%.
Thresholds are set as relative % change in distribution (i.e. depth and latitude) of catches i.e. relative % change are set increases or decreases >15%.
n/a
n/a
n/a
n/a
Trends based assessment
Trends based assessment
Trends based assessment only.
Trends based assessment only.
Trends based assessment only.
Trends based assessment only.
Trends based assessment only
Trends based assessment only
n/a
n/a
Trends based assessment
Trends based assessment
Trend based assessment
Trend based assessment
Trends based assessment only
Trends based assessment only
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
Thresholds are set as relative % change in distribution (i.e. depth and latitude) of catches. Thresholds of relative change are set as increases (or decreases) >15%.
Thresholds are set as relative % change in distribution (i.e. depth and latitude) of catches. Thresholds of relative change are set as increases (or decreases) >15%.
Thresholds are set as relative % change in population size (i.e. abundance and/or biomass) of catches. Thresholds of relative change are set as increases (or decreases) >15%.
Thresholds are set as relative % change in population size (i.e. abundance and/or biomass) of catches. Thresholds of relative change are set as increases (or decreases) >15%.
Trends based assessment only
Trends based assessment only
Set as relative % change in distribution & population size of catches. Thresholds of relative change are set as increases (or decreases) >15%. For population condition, trends are detected with intersection union (Trenkel & Rochet 2009).
Set as relative % change in distribution & population size of catches. Thresholds of relative change are set as increases (or decreases) >15%. For population condition, trends are detected with intersection union (Trenkel & Rochet 2009).
Set as relative % change in distribution & population size of catches. Thresholds of relative change are set as increases (or decreases) >15%. For population condition, trends are detected with intersection union (Trenkel & Rochet 2009).
Set as relative % change in distribution & population size of catches. Thresholds of relative change are set as increases (or decreases) >15%. For population condition, trends are detected with intersection union (Trenkel & Rochet 2009).
Set as relative % change in distribution & population size of catches. Thresholds of relative change are set as increases (or decreases) >15%. For population condition, trends are detected with intersection union (Trenkel & Rochet 2009).
Set as relative % change in distribution & population size of catches. Thresholds of relative change are set as increases (or decreases) >15%. For population condition, trends are detected with intersection union (Trenkel & Rochet 2009).
Trends based assessment
Trends based assessment
FMSY
Qualitative evaluation against biomass reference points for SSB, MSY for F
Trends based assessment only
Trends based assessment only
FMSY
Qualitative evaluation
Trends based assessment only
Trends based assessment only
Thresholds are set as relative % change in population size (i.e. abundance and/or biomass) of catches. Thresholds of relative change are set as increases (or decreases) >15%.
Thresholds are set as relative % change in population size (i.e. abundance and/or biomass) of catches. Thresholds of relative change are set as increases (or decreases) >15%.
Trend based analysis only
Trend based analysis only
Set as relative % change in distribution & population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, trends are detected with intersection union tests (Trenkel & Rochet 2009).
Set as relative % change in distribution & population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, trends are detected with intersection union tests (Trenkel & Rochet 2009).
Set as relative % change in distribution & population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, trends are detected with intersection union tests (Trenkel & Rochet 2009).
Set as relative % change in distribution & population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, trends are detected with intersection union tests (Trenkel & Rochet 2009).
Set as relative % change in distribution & population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, trends are detected with intersection union tests (Trenkel & Rochet 2009).
Set as relative % change in distribution & population size of catches. Thresholds set as increases (or decreases) >15%. For population condition, trends are detected with intersection union tests (Trenkel & Rochet 2009).
Threshold Unit
n/a
n/a
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n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
Half of virgin biomass
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
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N/A
N/A
N/A
N/A
N/A
N/A
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n/a
n/a
n/a
n/a
n/a
n/a
Threshold Proportion
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
-7777
Baseline
Assessed by trend detection method using the entire time series. (IBTS, MI, 2012b).
Assessed by trend detection method using the entire time series. (IBTS, MI, 2012b).
For Whiting stocks around Ireland, FMSY is based on provisional proxies within the range of fishing mortalities consistent with MSY. For VIa West of Scotland and Irish Sea Whiting MSY reference points are not defined and PA reference points are used. For Celtic Sea Whiting MSY Btrigger is set at Bpa. In the future when there are sufficient observations of SSB fluctuations associated with fishing around FMSY, the MSY Btrigger should be re-estimated to correspond to the lower boundary of the range of stock sizes associated with MSY.
For Whiting stocks around Ireland, FMSY is based on provisional proxies within the range of fishing mortalities consistent with MSY. For VIa West of Scotland and Irish Sea Whiting MSY reference points are not defined and PA reference points are used. For Celtic Sea Whiting MSY Btrigger is set at Bpa. In the future when there are sufficient observations of SSB fluctuations associated with fishing around FMSY, the MSY Btrigger should be re-estimated to correspond to the lower boundary of the range of stock sizes associated with MSY.
Assessed by trend detection method using the entire IGFS survey time series.
Assessed by trend detection method using the entire IGFS survey time series.
MSY and PA
MSY and PA
Assessed by trend detection method using the entire time series
Assessed by trend detection method using the entire time series
Both anglerfish stocks are data limited and no reference points have been defined. Trends are detected by y(i, i-1)/y(i-2, i-3, i-4) – survey biomass of the last two years divided by the survey biomass of the previous three years in %. This value gives an indication of how much the biomass of anglerfish species has changed in the last five years.
Assessed by trend detection method using the entire time series
Assessed by trend detection method using the entire time series
Both anglerfish stocks are data limited and no reference points have been defined. Trends are detected by y(i, i-1)/y(i-2, i-3, i-4) – survey biomass of the last two years divided by the survey biomass of the previous three years in %. This value gives an indication of how much the biomass of anglerfish species has changed in the last five years.
Assessed by trend detection method using the entire time series.
Assessed by trend detection method using the entire time series.
For Haddock stocks around Ireland, FMSY is based on provisional proxies within the range of fishing mortalities consistent with MSY. For VIa West of Scotland and VIb Rockall Haddock FMSY proxy is based on that of North Sea Haddock and MSY Btrigger is set at Bpa. For Celtic Sea Haddock VIIb-k FMSY proxy is based on Fmax and MSY Btrigger is set at Bpa. MSY reference points are not defined for Irish Sea Haddock. Overall status is based on a “one out all out” approach.
For Haddock stocks around Ireland, FMSY is based on provisional proxies within the range of fishing mortalities consistent with MSY. For VIa West of Scotland and VIb Rockall Haddock FMSY proxy is based on that of North Sea Haddock and MSY Btrigger is set at Bpa. For Celtic Sea Haddock VIIb-k FMSY proxy is based on Fmax and MSY Btrigger is set at Bpa. MSY reference points are not defined for Irish Sea Haddock. Overall status is based on a “one out all out” approach.
Assessed by trend detection method using the entire survey time series
Assessed by trend detection method using the entire survey time series
MSY
MSY
Assessed by trend detection method using the entire time series.
Assessed by trend detection method using the entire time series.
For fish stocks around Ireland, FMSY is based on provisional proxies within the range of fishing mortalities consistent with MSY. For Blue Whiting (northeast Atlantic stock) FMSY is based on the evaluation of a management strategy conducted in 2008. MSY Btrigger is set at Bpa.
For fish stocks around Ireland, FMSY is based on provisional proxies within the range of fishing mortalities consistent with MSY. For Blue Whiting (northeast Atlantic stock) FMSY is based on the evaluation of a management strategy conducted in 2008. MSY Btrigger is set at Bpa.
Assessed by trend detection method using the entire time series.
Assessed by trend detection method using the entire time series.
MSY
MSY
Assessed by trend detection method using the entire time series
Assessed by trend detection method using the entire time series
For fish stocks around Ireland, FMSY is based on provisional proxies within the range of fishing mortalities consistent with MSY. All four stocks are data-limited. Consequently no reference points have been set.
For fish stocks around Ireland, FMSY is based on provisional proxies within the range of fishing mortalities consistent with MSY. All four stocks are data-limited. Consequently no reference points have been set.
Assessed by trend detection method using the entire time series
Assessed by trend detection method using the entire time series
Qualitative reference points relating to MSY
Qualitative reference points relating to MSY
Assessed by trend detection method using the entire time series.
Assessed by trend detection method using the entire time series.
For Herring stocks around Ireland, FMSY is based on simulations under different productivity/management regimes for Irish Sea Herring (VIIaN), Celtic Sea herring (VIIaS and VIIghjk), northwest of Ireland Herring (VIaS VIIbc) and Herring in VIaN.
Biomass reference points are as follows: For Irish Sea Herring, MSY Btrigger is set at Bpa, Celtic Sea herring and northwest of Ireland herring use Bpa. For west of Scotland Herring (VIaN) biomass limits are set at Blim which is the lowest observed biomass.
Assessed by trend detection method using the entire time series
Assessed by trend detection method using the entire time series
MSY, PA
MSY, PA
Assessed by trend detection method using the entire time series.
Assessed by trend detection method using the entire time series.
For fish stocks around Ireland, FMSY is based on provisional proxies within the range of fishing mortalities consistent with MSY. For northeast Atlantic mackerel MSY Btrigger is associated with SSB with high long-term yield and low probability of stock depletion based on management strategy evaluation (ICES, 2008). FMSY is associated with this reference point.
For fish stocks around Ireland, FMSY is based on provisional proxies within the range of fishing mortalities consistent with MSY. For northeast Atlantic mackerel MSY Btrigger is associated with SSB with high long-term yield and low probability of stock depletion based on management strategy evaluation (ICES, 2008). FMSY is associated with this reference point.
Assessed by trend detection method using the entire time series
Assessed by trend detection method using the entire time series
MSY
MSY
Assessed by trend detection method using the entire time series
Assessed by trend detection method using the entire time series
MSY Btrigger for the Northern hake stock is not defined whereas FMSY is F30%SPR
MSY Btrigger for the Northern hake stock is not defined whereas FMSY is F30%SPR
Assessed by trend detection method using the entire time series
Assessed by trend detection method using the entire time series
MSY
MSY
Assessed by trend detection method using the entire time series
Assessed by trend detection method using the entire time series
For fish stocks around Ireland, FMSY is based on provisional proxies within the range of fishing mortalities consistent with MSY. FMSY is for western horse mackerel is based on F0.1 from the yield-per-recruit analysis.
Assessed by trend detection method using the entire time series
Assessed by trend detection method using the entire time series
MSY
Assessed by trend detection method using the entire time series
Assessed by trend detection method using the entire time series
For sole stocks around Ireland, FMSY is based on provisional proxies within the range of fishing mortalities consistent with MSY. For VIIa Sole MSY Btrigger defaults to the value of Bpa. FMSY is a provisional proxy based on stochastic simulations. In VIIf-g FMSY is also a provisional proxy based on stochastic simulations. MSY Btrigger is set to Bpa. MSY Btrigger for Sole in VIIh-k is not defined and FMSY is a provisional proxy based on WGCSE 2010 estimate of Fmax.
For sole stocks around Ireland, FMSY is based on provisional proxies within the range of fishing mortalities consistent with MSY. For VIIa Sole MSY Btrigger defaults to the value of Bpa. FMSY is a provisional proxy based on stochastic simulations. In VIIf-g FMSY is also a provisional proxy based on stochastic simulations. MSY Btrigger is set to Bpa. MSY Btrigger for Sole in VIIh-k is not defined and FMSY is a provisional proxy based on WGCSE 2010 estimate of Fmax.
Assessed by trend detection method using the entire time series
Assessed by trend detection method using the entire time series
MSY
MSY
n/a
n/a
MSY
MSY
n/a
n/a
MSY
MSY
n/a
n/a
For fish stocks around Ireland, FMSY is based on proxies within the range of fishing mortalities consistent with MSY. For the east Atlantic and Mediterranean bluefin tuna stock FMSY is set at F0.1. BMSY is set at BF0.1.
For fish stocks around Ireland, FMSY is based on proxies within the range of fishing mortalities consistent with MSY. For the east Atlantic and Mediterranean bluefin tuna stock FMSY is set at F0.1. BMSY is set at BF0.1.
n/a
n/a
F01
BF01
Assessed by trend detection method using the entire survey time series. Current data indicate no significant change in distributional range or pattern of boarfish in ICES Sub-areas VIa and VIIbgj
Assessed by trend detection method using the entire survey time series. Current data indicate no significant change in distributional range or pattern of boarfish in ICES Sub-areas VIa and VIIbgj
For fish stocks around Ireland, FMSY is based on provisional proxies within the range of fishing mortalities consistent with MSY. For boarfish (VI, VII and VIII) FMSY is set at F0.1 proxy.
For fish stocks around Ireland, FMSY is based on provisional proxies within the range of fishing mortalities consistent with MSY. For boarfish (VI, VII and VIII) FMSY is set at F0.1 proxy.
Assessed by trend detection method using the entire survey time series
Assessed by trend detection method using the entire survey time series
MSY proxy
MSY proxy
n/a
n/a
For fish stocks around Ireland, FMSY is based on provisional proxies within the range of fishing mortalities consistent with MSY. For West of Scotland and Rockall Saithe the default value for MSY Btrigger is Bpa. FMSY is based on stochastic simulation using hockey-stick stock–recruitment.
For fish stocks around Ireland, FMSY is based on provisional proxies within the range of fishing mortalities consistent with MSY. For West of Scotland and Rockall Saithe the default value for MSY Btrigger is Bpa. FMSY is based on stochastic simulation using hockey-stick stock–recruitment.
n/a
n/a
MSY
MSY
Baseline values for distribution have not been set. Assessments are based on temporal trends only.
Baseline values for distribution have not been set. Assessments are based on temporal trends only.
Thresholds apply to abundance and/or biomass metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years.
Assessed by trend detection method using the entire time series.
Assessed by trend detection method using the entire time series.
Thresholds apply to abundance and distribution metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years. Population condition is assessed by trend detection method using the entire time series.
Thresholds apply to abundance and distribution metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years. Population condition is assessed by trend detection method using the entire time series.
Thresholds apply to abundance and distribution metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years. Population condition is assessed by trend detection method using the entire time series.
Thresholds apply to abundance and distribution metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years. Population condition is assessed by trend detection method using the entire time series.
Thresholds apply to abundance and distribution metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years. Population condition is assessed by trend detection method using the entire time series.
Baseline values for distribution have not been set. Assessments are based on temporal trends only.
Baseline values for distribution have not been set. Assessments are based on temporal trends only.
Thresholds apply to abundance and/or biomass metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years.
Assessed by trend detection method using the entire time series
Assessed by trend detection method using the entire time series
Baseline values for distribution and population size have not been set. Assessments are based on temporal trends only. Population condition is assessed by trend detection method using the entire time series
Baseline values for distribution and population size have not been set. Assessments are based on temporal trends only. Population condition is assessed by trend detection method using the entire time series
Baseline values for distribution and population size have not been set. Assessments are based on temporal trends only. Population condition is assessed by trend detection method using the entire time series
Baseline values for distribution and population size have not been set. Assessments are based on temporal trends only. Population condition is assessed by trend detection method using the entire time series
Baseline values for distribution and population size have not been set. Assessments are based on temporal trends only. Population condition is assessed by trend detection method using the entire time series
Baseline values for distribution have not been set. Assessments are based on temporal trends only.
Baseline values for distribution have not been set. Assessments are based on temporal trends only.
Thresholds apply to abundance and/or biomass metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years.
Assessed by trend detection method using the entire time series.
Assessed by trend detection method using the entire time series.
Baseline values for distribution and population size have not been set. Assessments are based on temporal trends only. Population condition is assessed by trend detection method using the entire time series.
Baseline values for distribution and population size have not been set. Assessments are based on temporal trends only. Population condition is assessed by trend detection method using the entire time series.
Baseline values for distribution and population size have not been set. Assessments are based on temporal trends only. Population condition is assessed by trend detection method using the entire time series.
Baseline values for distribution and population size have not been set. Assessments are based on temporal trends only. Population condition is assessed by trend detection method using the entire time series.
Baseline values for distribution and population size have not been set. Assessments are based on temporal trends only. Population condition is assessed by trend detection method using the entire time series.
Baseline values for distribution have not been set. Assessments are based on temporal trends only.
Baseline values for distribution have not been set. Assessments are based on temporal trends only.
Thresholds apply to abundance and/or biomass metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years.
Assessed by trend detection method using the entire time series.
Assessed by trend detection method using the entire time series.
Baseline values for distribution and population size have not been set. Assessments are based on temporal trends only. Population condition is assessed by trend detection method using the entire time series.
Baseline values for distribution and population size have not been set. Assessments are based on temporal trends only. Population condition is assessed by trend detection method using the entire time series.
Baseline values for distribution and population size have not been set. Assessments are based on temporal trends only. Population condition is assessed by trend detection method using the entire time series.
Baseline values for distribution and population size have not been set. Assessments are based on temporal trends only. Population condition is assessed by trend detection method using the entire time series.
Baseline values for distribution and population size have not been set. Assessments are based on temporal trends only. Population condition is assessed by trend detection method using the entire time series.
Baseline values for distribution have not been set. Assessments are based on temporal trends only.
Baseline values for distribution have not been set. Assessments are based on temporal trends only.
Thresholds apply to abundance and/or biomass metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years.
Assessed by trend detection method using the entire time series.
Assessed by trend detection method using the entire time series.
Baseline values for distribution and population size have not been set. Assessments are based on temporal trends only. Population condition is assessed by trend detection method using the entire time series.
Baseline values for distribution and population size have not been set. Assessments are based on temporal trends only. Population condition is assessed by trend detection method using the entire time series.
Baseline values for distribution and population size have not been set. Assessments are based on temporal trends only. Population condition is assessed by trend detection method using the entire time series.
Baseline values for distribution and population size have not been set. Assessments are based on temporal trends only. Population condition is assessed by trend detection method using the entire time series.
Baseline values for distribution and population size have not been set. Assessments are based on temporal trends only. Population condition is assessed by trend detection method using the entire time series.
Baseline values for distribution have not been set. Assessments are based on temporal trends only.
Baseline values for distribution have not been set. Assessments are based on temporal trends only.
Thresholds apply to abundance and/or biomass metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years.
Assessed by trend detection method using the entire time series.
Assessed by trend detection method using the entire time series.
Thresholds apply to abundance and distribution metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years. Population condition is assessed by trend detection method using the entire time series.
Thresholds apply to abundance and distribution metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years. Population condition is assessed by trend detection method using the entire time series.
Thresholds apply to abundance and distribution metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years. Population condition is assessed by trend detection method using the entire time series.
Thresholds apply to abundance and distribution metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years. Population condition is assessed by trend detection method using the entire time series.
Thresholds apply to abundance and distribution metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years. Population condition is assessed by trend detection method using the entire time series.
Assessed by trend detection method using the entire time series.
Assessed by trend detection method using the entire time series.
For the IVa VIa Megrim stock, FMSYis directly estimated from the model and Btrigger is set at 50% of BMSY. As VIb and VIIb-k stocks are data limited no reference points have been set.
For the IVa VIa Megrim stock, FMSYis directly estimated from the model and Btrigger is set at 50% of BMSY. As VIb and VIIb-k stocks are data limited no reference points have been set.
Assessed by trend detection method using the entire survey time series
Assessed by trend detection method using the entire survey time series
MSY
MSY
Assessed by trend detection method using the entire time series
Assessed by trend detection method using the entire time series
Ratio of the last two years abundance estimates over the preceding five years
Assessed by trend detection method using the entire time series
Assessed by trend detection method using the entire time series
Thresholds apply to distribution metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years. For Thornback ray abundance, the ratio of the last two years abundance estimates over the preceding five years was used. Population condition is assessed by trend detection method using the entire time series.
Thresholds apply to distribution metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years. For Thornback ray abundance, the ratio of the last two years abundance estimates over the preceding five years was used. Population condition is assessed by trend detection method using the entire time series.
Thresholds apply to distribution metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years. For Thornback ray abundance, the ratio of the last two years abundance estimates over the preceding five years was used. Population condition is assessed by trend detection method using the entire time series.
Thresholds apply to distribution metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years. For Thornback ray abundance, the ratio of the last two years abundance estimates over the preceding five years was used. Population condition is assessed by trend detection method using the entire time series.
Thresholds apply to distribution metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years. For Thornback ray abundance, the ratio of the last two years abundance estimates over the preceding five years was used. Population condition is assessed by trend detection method using the entire time series.
n/a
n/a
n/a
Virgin biomass before the onset of the fishery
n/a
n/a
Virgin biomass before the onset of the fishery
n/a
n/a
For fish stocks around Ireland, FMSY is based on provisional proxies within the range of fishing mortalities consistent with MSY. For F it is half of the intrinsic growth rate r, estimated from the surplus production model, for MSY Btrigger, it is half of carrying capacity K, estimated from the surplus production model
For fish stocks around Ireland, FMSY is based on provisional proxies within the range of fishing mortalities consistent with MSY. For F it is half of the intrinsic growth rate r, estimated from the surplus production model, for MSY Btrigger, it is half of carrying capacity K, estimated from the surplus production model
n/a
n/a
MSY
MSY
n/a
n/a
Historic biomass indices and time series of catch data
Historic biomass indices and time series of catch data
n/a
n/a
Historic biomass indices and time series of catch data
Historic biomass indices and time series of catch data
n/a
n/a
Survey indices in the last five years, time series of catch data
Survey indices in the last five years, time series of catch data
n/a
n/a
Survey indices in the last five years, time series of catch data
Survey indices in the last five years, time series of catch data
Assessed by trend detection method using the entire time series.
Assessed by trend detection method using the entire time series.
For Cuckoo ray the ratio of the last two years abundance estimates over the preceding five years was used
Assessed by trend detection method using the entire time series
Assessed by trend detection method using the entire time series
For Cuckoo ray abundance, the ratio of the last two years abundance estimates over the preceding five years was used. For population condition, significant increasing or decreasing trends are detected with an intersection union tests as described in Trenkel and Rochet (2009).
For Cuckoo ray abundance, the ratio of the last two years abundance estimates over the preceding five years was used. For population condition, significant increasing or decreasing trends are detected with an intersection union tests as described in Trenkel and Rochet (2009).
For Cuckoo ray abundance, the ratio of the last two years abundance estimates over the preceding five years was used. For population condition, significant increasing or decreasing trends are detected with an intersection union tests as described in Trenkel and Rochet (2009).
For Cuckoo ray abundance, the ratio of the last two years abundance estimates over the preceding five years was used. For population condition, significant increasing or decreasing trends are detected with an intersection union tests as described in Trenkel and Rochet (2009).
For Cuckoo ray abundance, the ratio of the last two years abundance estimates over the preceding five years was used. For population condition, significant increasing or decreasing trends are detected with an intersection union tests as described in Trenkel and Rochet (2009).
Assessed by trend detection method using the entire time series.
Assessed by trend detection method using the entire time series.
For Cod stocks around Ireland, FMSY is based on provisional proxies within the range of fishing mortalities consistent with MSY. For Celtic Sea cod FMSY proxy is based on Fmax. MSY Btrigger is considered the lower bound of fluctuation around BMSY. As an initial option, MSY Btrigger is set at Bpa. In the future when there are sufficient observations of SSB fluctuations associated with fishing around FMSY, the MSY Btrigger should be re-estimated to correspond to the lower bound of the range of stock sizes associated with MSY.
For Cod stocks around Ireland, FMSY is based on provisional proxies within the range of fishing mortalities consistent with MSY. For Celtic Sea cod FMSY proxy is based on Fmax. MSY Btrigger is considered the lower bound of fluctuation around BMSY. As an initial option, MSY Btrigger is set at Bpa. In the future when there are sufficient observations of SSB fluctuations associated with fishing around FMSY, the MSY Btrigger should be re-estimated to correspond to the lower bound of the range of stock sizes associated with MSY.
Assessed by trend detection method using the entire time series
Assessed by trend detection method using the entire time series
MSY
MSY
n/a
n/a
For fish stocks around Ireland, FMSY is based on provisional proxies within the range of fishing mortalities consistent with MSY. Preliminary investigations undertaken by ICES in 2012 indicate that for an assumed natural mortality of 0.18, an appropriate proxy for FMSY lies within the range of 0.12–0.18.
For fish stocks around Ireland, FMSY is based on provisional proxies within the range of fishing mortalities consistent with MSY. Preliminary investigations undertaken by ICES in 2012 indicate that for an assumed natural mortality of 0.18, an appropriate proxy for FMSY lies within the range of 0.12–0.18.
n/a
n/a
MSY
MSY
Thresholds apply to depth and latitude distributional metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years.
Thresholds apply to depth and latitude distributional metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years.
Entire time series of survey biomass indices and catch data
Entire time series of survey biomass indices and catch data
n/a
n/a
Entire time series of survey biomass indices and catch data
Entire time series of survey biomass indices and catch data
Assessed by trend detection method using the entire time series.
Assessed by trend detection method using the entire time series.
Trends based assessment using the entire time series.
Trends based assessment using the entire time series.
Assessed by trend detection method using the entire time series
Assessed by trend detection method using the entire time series
Comparison of the two most recent index values with the three preceding values, combined with recent catch or landings data
Comparison of the two most recent index values with the three preceding values, combined with recent catch or landings data
Assessed by trend detection method using the entire survey time series
Assessed by trend detection method using the entire survey time series
For stock size indicator, the estimate in the last two years (2010-2011) compared to average of the five previous years (2005-2009) is used. For catch data the entire time series is used.
For stock size indicator, the estimate in the last two years (2010-2011) compared to average of the five previous years (2005-2009) is used. For catch data the entire time series is used.
Assessed by trend detection method using the entire time series
Assessed by trend detection method using the entire time series
Comparison of the two most recent index values with the five preceding values for biomass indicators combined with recent catch or landings data.
Comparison of the two most recent index values with the five preceding values for biomass indicators combined with recent catch or landings data.
n/a
n/a
Entire time series of survey biomass indices and catch data
Entire time series of survey biomass indices and catch data
n/a
n/a
Entire time series of survey biomass indices and catch data
Entire time series of survey biomass indices and catch data
Thresholds apply to depth and latitude distributional metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years.
Thresholds apply to depth and latitude distributional metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years.
Stable or increase in biomass and abundance = <15% change over the time series. Decreasing biomass and abundance = >15% change over the time series.
Stable or increase in biomass and abundance = <15% change over the time series. Decreasing biomass and abundance = >15% change over the time series.
Assessed by trend detection method using the entire time series
Assessed by trend detection method using the entire time series
Thresholds apply to abundance and distribution metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years. Population condition is assessed by trend detection method using the entire time series.
Thresholds apply to abundance and distribution metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years. Population condition is assessed by trend detection method using the entire time series.
Thresholds apply to abundance and distribution metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years. Population condition is assessed by trend detection method using the entire time series.
Thresholds apply to abundance and distribution metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years. Population condition is assessed by trend detection method using the entire time series.
Thresholds apply to abundance and distribution metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years. Population condition is assessed by trend detection method using the entire time series.
Thresholds apply to abundance and distribution metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years. Population condition is assessed by trend detection method using the entire time series.
Assessed by trend detection method using the entire survey time series
Assessed by trend detection method using the entire survey time series
For FMSY, MSY exploitation ratio using catch as a proportion of the total biomass
For FMSY, MSY exploitation ratio using catch as a proportion of the total biomass
Assessed by trend detection method using the entire survey time series.
Assessed by trend detection method using the entire survey time series.
MSY
MSY
Assessed by trend detection method using the entire time series
Assessed by trend detection method using the entire time series
Thresholds apply to abundance and/or biomass metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years.
Thresholds apply to abundance and/or biomass metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years.
Assessed by trend detection method using the entire time series.
Assessed by trend detection method using the entire time series.
Thresholds apply to abundance and distribution metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years. Population condition is assessed by trend detection method using the entire time series.
Thresholds apply to abundance and distribution metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years. Population condition is assessed by trend detection method using the entire time series.
Thresholds apply to abundance and distribution metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years. Population condition is assessed by trend detection method using the entire time series.
Thresholds apply to abundance and distribution metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years. Population condition is assessed by trend detection method using the entire time series.
Thresholds apply to abundance and distribution metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years. Population condition is assessed by trend detection method using the entire time series.
Thresholds apply to abundance and distribution metrics which compares 1) the average catch distributional data for 2010 to that of 2011 and 2) average data for 2010 and 2011 to that of the previous 3 years. Population condition is assessed by trend detection method using the entire time series.
Status
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
NotAssessed
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Good
Good
Good
Good
Good
Good
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
NotGood
NotGood
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
NotGood
NotGood
NotGood
NotGood
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
NotGood
NotGood
NotGood
NotGood
NotGood
NotGood
Descriptive
Descriptive
NotGood
NotGood
NotGood
NotGood
NotGood
NotGood
Descriptive
Descriptive
Good
Good
Good
Good
Good
Good
NotAssessed
NotAssessed
Good
Good
Good
Good
Good
Good
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Good
Good
Good
Good
Good
NotAssessed
NotAssessed
Good
Good
Good
Good
Good
Good
NotAssessed
NotAssessed
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
NotAssessed
NotAssessed
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
NotAssessed
NotAssessed
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
NotAssessed
NotAssessed
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
NotAssessed
NotAssessed
NotGood
NotGood
NotGood
NotGood
NotGood
NotGood
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
NotGood
NotGood
NotGood
NotGood
NotGood
NotGood
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Descriptive
Status Description
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been an improvement in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been an improvement in status for the duration of available time series.
In relation to population size, Celtic Sea (Division VIIe-k) whiting stock is likely to be at GES, the Irish Sea (Division VIIa) stock is likely to be below GES and the West of Scotland (ICES Division VIa) Whiting is likely to be below GES. In terms of fishing mortality, Celtic Sea (Division VIIe-k) whiting stock is likely to be at GES, the Irish Sea (Division VIIa) stock is likely to be below GES and the West of Scotland (ICES Division VIa) Whiting is likely to be at GES.
In relation to population size, Celtic Sea (Division VIIe-k) whiting stock is likely to be at GES, the Irish Sea (Division VIIa) stock is likely to be below GES and the West of Scotland (ICES Division VIa) Whiting is likely to be below GES. In terms of fishing mortality, Celtic Sea (Division VIIe-k) whiting stock is likely to be at GES, the Irish Sea (Division VIIa) stock is likely to be below GES and the West of Scotland (ICES Division VIa) Whiting is likely to be at GES.
In relation to population size, Celtic Sea (Division VIIe-k) whiting stock is likely to be at GES, the Irish Sea (Division VIIa) stock is likely to be below GES and the West of Scotland (ICES Division VIa) Whiting is likely to be below GES. In terms of fishing mortality, Celtic Sea (Division VIIe-k) whiting stock is likely to be at GES, the Irish Sea (Division VIIa) stock is likely to be below GES and the West of Scotland (ICES Division VIa) Whiting is likely to be at GES.
In relation to population size, Celtic Sea (Division VIIe-k) whiting stock is likely to be at GES, the Irish Sea (Division VIIa) stock is likely to be below GES and the West of Scotland (ICES Division VIa) Whiting is likely to be below GES. In terms of fishing mortality, Celtic Sea (Division VIIe-k) whiting stock is likely to be at GES, the Irish Sea (Division VIIa) stock is likely to be below GES and the West of Scotland (ICES Division VIa) Whiting is likely to be at GES.
In relation to population size, Celtic Sea (Division VIIe-k) whiting stock is likely to be at GES, the Irish Sea (Division VIIa) stock is likely to be below GES and the West of Scotland (ICES Division VIa) Whiting is likely to be below GES. In terms of fishing mortality, the Celtic Sea (Division VIIe-k) whiting stock is likely to be at GES, the Irish Sea (Division VIIa) stock is likely to be below GES and the West of Scotland (ICES Division VIa) Whiting is likely to be at GES.
In relation to population size, Celtic Sea (Division VIIe-k) whiting stock is likely to be at GES, the Irish Sea (Division VIIa) stock is likely to be below GES and the West of Scotland (ICES Division VIa) Whiting is likely to be below GES. In terms of fishing mortality, the Celtic Sea (Division VIIe-k) whiting stock is likely to be at GES, the Irish Sea (Division VIIa) stock is likely to be below GES and the West of Scotland (ICES Division VIa) Whiting is likely to be at GES.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of the available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of the available time series.
There is no quantitative evaluation of population size against reference points.
There is no quantitative evaluation of population size against reference points.
There is no quantitative evaluation of population size against reference points.
Not assessed due to lack of quantitative evaluation of pressure and state against reference points.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
Out of four Haddock stocks in the Irish assessment area, two stocks have SSBs above Maximum Sustainable Yield (MSY) and/or Precautionary Approach (PA) biomass reference points (MSY Btrigger, Bpa and Blim). These are Haddock in VIb (Rockall) and Haddock in VIIb-k (Celtic Sea). Haddock in VIa (West of Scotland) is currently above Blim but below Bpa. The status of the VIIa SSB is unknown but thought to be declining. In relation to fishing mortality, two out of four stocks are fished below or at FMSY (VIa and VIb), while one stock is fished above MSY (VIIb-k). Fishing mortality in relation to MSY for Irish Sea haddock is unknown. F in relation to reference points (FMSY, Fpa, Flim) of VIIa Haddock is unknown.
Out of four Haddock stocks in the Irish assessment area, two stocks have SSBs above Maximum Sustainable Yield (MSY) and/or Precautionary Approach (PA) biomass reference points (MSY Btrigger, Bpa and Blim). These are Haddock in VIb (Rockall) and Haddock in VIIb-k (Celtic Sea). Haddock in VIa (West of Scotland) is currently above Blim but below Bpa. The status of the VIIa SSB is unknown but thought to be declining. In relation to fishing mortality, two out of four stocks are fished below or at FMSY (VIa and VIb), while one stock is fished above MSY (VIIb-k). Fishing mortality in relation to MSY for Irish Sea haddock is unknown. F in relation to reference points (FMSY, Fpa, Flim) of VIIa Haddock is unknown.
Out of four Haddock stocks in the Irish assessment area, two stocks have SSBs above Maximum Sustainable Yield (MSY) and/or Precautionary Approach (PA) biomass reference points (MSY Btrigger, Bpa and Blim). These are Haddock in VIb (Rockall) and Haddock in VIIb-k (Celtic Sea). Haddock in VIa (West of Scotland) is currently above Blim but below Bpa. The status of the VIIa SSB is unknown but thought to be declining. In relation to fishing mortality, two out of four stocks are fished below or at FMSY (VIa and VIb), while one stock is fished above MSY (VIIb-k). Fishing mortality in relation to MSY for Irish Sea haddock is unknown. F in relation to reference points (FMSY, Fpa, Flim) of VIIa Haddock is unknown.
Out of four Haddock stocks in the Irish assessment area, two stocks have SSBs above Maximum Sustainable Yield (MSY) and/or Precautionary Approach (PA) biomass reference points (MSY Btrigger, Bpa and Blim). These are Haddock in VIb (Rockall) and Haddock in VIIb-k (Celtic Sea). Haddock in VIa (West of Scotland) is currently above Blim but below Bpa. The status of the VIIa SSB is unknown but thought to be declining. In relation to fishing mortality, two out of four stocks are fished below or at FMSY (VIa and VIb), while one stock is fished above MSY (VIIb-k). Fishing mortality in relation to MSY for Irish Sea haddock is unknown. F in relation to reference points (FMSY, Fpa, Flim) of VIIa Haddock is unknown.
Out of four Haddock stocks in the Irish assessment area, two stocks have SSBs above Maximum Sustainable Yield (MSY) and/or Precautionary Approach (PA) biomass reference points (MSY Btrigger, Bpa and Blim). These are Haddock in VIb (Rockall) and Haddock in VIIb-k (Celtic Sea). Haddock in VIa (West of Scotland) is currently above Blim but below Bpa. The status of the VIIa SSB is unknown but thought to be declining. In relation to fishing mortality, two out of four stocks are fished below or at FMSY (VIa and VIb), while one stock is fished above MSY (VIIb-k). Fishing mortality in relation to MSY for Irish Sea haddock is unknown. F in relation to reference points (FMSY, Fpa, Flim) of VIIa Haddock is unknown. No deterioration in status in relation to distribution or population condition was detected.
Out of four Haddock stocks in the Irish assessment area, two stocks have SSBs above Maximum Sustainable Yield (MSY) and/or Precautionary Approach (PA) biomass reference points (MSY Btrigger, Bpa and Blim). These are Haddock in VIb (Rockall) and Haddock in VIIb-k (Celtic Sea). Haddock in VIa (West of Scotland) is currently above Blim but below Bpa. The status of the VIIa SSB is unknown but thought to be declining. In relation to fishing mortality, two out of four stocks are fished below or at FMSY (VIa and VIb), while one stock is fished above MSY (VIIb-k). Fishing mortality in relation to MSY for Irish Sea haddock is unknown. F in relation to reference points (FMSY, Fpa, Flim) of VIIa Haddock is unknown. No deterioration in status in relation to distribution or population condition was detected.
There is insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There is insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
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There are insufficient data to provide quantitative targets for GES definition, but the data indicate that there has been no deterioration in status for the duration of the available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data indicate that there has been no deterioration in status for the duration of the available time series.
In relation to population size, the Irish Sea plaice stock (VIIa) is likely to be at GES, Celtic Sea plaice (VIIfg) is likely to be below GES and southwest of Ireland and West of Ireland plaice stocks (VIIbc and VIIh-k) have unknown status. In terms of fishing mortality, the Irish Sea plaice stock (VIIa) is likely to be at GES, Celtic Sea plaice (VIIfg) and southwest of Ireland plaice (VIIh-k) stocks are likely to be below GES and the West of Ireland plaice stock has unknown status.
In relation to population size, the Irish Sea plaice stock (VIIa) is likely to be at GES, Celtic Sea plaice (VIIfg) is likely to be below GES and southwest of Ireland and West of Ireland plaice stocks (VIIbc and VIIh-k) have unknown status. In terms of fishing mortality, the Irish Sea plaice stock (VIIa) is likely to be at GES, Celtic Sea plaice (VIIfg) and southwest of Ireland plaice (VIIh-k) stocks are likely to be below GES and the West of Ireland plaice stock has unknown status.
In relation to population size, the Irish Sea plaice stock (VIIa) is likely to be at GES, Celtic Sea plaice (VIIfg) is likely to be below GES and southwest of Ireland and West of Ireland plaice stocks (VIIbc and VIIh-k) have unknown status. In terms of fishing mortality, the Irish Sea plaice stock (VIIa) is likely to be at GES, Celtic Sea plaice (VIIfg) and southwest of Ireland plaice (VIIh-k) stocks are likely to be below GES and the West of Ireland plaice stock has unknown status.
In relation to population size, the Irish Sea plaice stock (VIIa) is likely to be at GES, Celtic Sea plaice (VIIfg) is likely to be below GES and southwest of Ireland and West of Ireland plaice stocks (VIIbc and VIIh-k) have unknown status. In terms of fishing mortality, the Irish Sea plaice stock (VIIa) is likely to be at GES, Celtic Sea plaice (VIIfg) and southwest of Ireland plaice (VIIh-k) stocks are likely to be below GES and the West of Ireland plaice stock has unknown status.
Overall, the Irish Sea plaice stock (VIIa) is likely to be at GES, Celtic Sea plaice (VIIfg) and southwest of Ireland plaice (VIIh-k) stocks are likely to be below GES and the West of Ireland plaice stock has unknown status.
Overall, the Irish Sea plaice stock (VIIa) is likely to be at GES, Celtic Sea plaice (VIIfg) and southwest of Ireland plaice (VIIh-k) stocks are likely to be below GES and the West of Ireland plaice stock has unknown status.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
The spawning stock biomass of three out of four Herring stocks in the Irish assessment area are above Maximum Sustainable Yield (MSY) and/or Precautionary Approach (PA) biomass reference points (MSY Btrigger, Bpa and Blim) these are; West of Scotland in subarea VIaN, Irish Sea in subarea VIIaN and Celtic Sea in subareas VIIaS VIIg,j, The biomass of herring in VIaS VIIbc is below Blim. In terms of fishing mortality, three stocks are fished at or below MSY, while one stock is fished above MSY.
The spawning stock biomass of three out of four Herring stocks in the Irish assessment area are above Maximum Sustainable Yield (MSY) and/or Precautionary Approach (PA) biomass reference points (MSY Btrigger, Bpa and Blim) these are; West of Scotland in subarea VIaN, Irish Sea in subarea VIIaN and Celtic Sea in subareas VIIaS VIIg,j, The biomass of herring in VIaS VIIbc is below Blim. In terms of fishing mortality, three stocks are fished at or below MSY, while one stock is fished above MSY.
The spawning stock biomass of three out of four Herring stocks in the Irish assessment area are above Maximum Sustainable Yield (MSY) and/or Precautionary Approach (PA) biomass reference points (MSY Btrigger, Bpa and Blim) these are; West of Scotland in subarea VIaN, Irish Sea in subarea VIIaN and Celtic Sea in subareas VIIaS VIIg,j, The biomass of herring in VIaS VIIbc is below Blim. In terms of fishing mortality, three stocks are fished at or below MSY, while one stock is fished above MSY.
The spawning stock biomass of three out of four Herring stocks in the Irish assessment area are above Maximum Sustainable Yield (MSY) and/or Precautionary Approach (PA) biomass reference points (MSY Btrigger, Bpa and Blim) these are; West of Scotland in subarea VIaN, Irish Sea in subarea VIIaN and Celtic Sea in subareas VIIaS VIIg,j, The biomass of herring in VIaS VIIbc is below Blim. In terms of fishing mortality, three stocks are fished at or below MSY, while one stock is fished above MSY.
The spawning stock biomass of three out of four Herring stocks in the Irish assessment area are above Maximum Sustainable Yield (MSY) and/or Precautionary Approach (PA) biomass reference points (MSY Btrigger, Bpa and Blim) these are; West of Scotland in subarea VIaN, Irish Sea in subarea VIIaN and Celtic Sea in subareas VIIaS VIIg,j, The biomass of herring in VIaS VIIbc is below Blim. In terms of fishing mortality, three stocks are fished at or below MSY, while one stock is fished above MSY. No deterioration in status in relation to distribution or population condition was detected.
The spawning stock biomass of three out of four Herring stocks in the Irish assessment area are above Maximum Sustainable Yield (MSY) and/or Precautionary Approach (PA) biomass reference points (MSY Btrigger, Bpa and Blim) these are; West of Scotland in subarea VIaN, Irish Sea in subarea VIIaN and Celtic Sea in subareas VIIaS VIIg,j, The biomass of herring in VIaS VIIbc is below Blim. In terms of fishing mortality, three stocks are fished at or below MSY, while one stock is fished above MSY. No deterioration in status in relation to distribution or population condition was detected.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
Biomass is above Btrigger, but fishing mortality is above FMSY.
Biomass is above Btrigger, but fishing mortality is above FMSY.
Biomass is above Btrigger, but fishing mortality is above FMSY.
Biomass is above Btrigger, but fishing mortality is above FMSY.
Biomass is above MSY B trigger, but fishing mortality is above FMSY.
Biomass is above MSY B trigger, but fishing mortality is above FMSY.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
The biomass of northern hake is above possible Maximum Sustainable Yield (MSY) and/or Precautionary Approach (PA) biomass reference points (MSY Btrigger, Bpa and Blim). Fishing mortality (F) has been decreasing in recent years, but is still above FMSY (based on 2011 stock assessment).
The biomass of northern hake is above possible Maximum Sustainable Yield (MSY) and/or Precautionary Approach (PA) biomass reference points (MSY Btrigger, Bpa and Blim). Fishing mortality (F) has been decreasing in recent years, but is still above FMSY (based on 2011 stock assessment).
The biomass of northern hake is above possible Maximum Sustainable Yield (MSY) and/or Precautionary Approach (PA) biomass reference points (MSY Btrigger, Bpa and Blim). Fishing mortality (F) has been decreasing in recent years, but is still above FMSY (based on 2011 stock assessment).
The biomass of northern hake is above possible Maximum Sustainable Yield (MSY) and/or Precautionary Approach (PA) biomass reference points (MSY Btrigger, Bpa and Blim). Fishing mortality (F) has been decreasing in recent years, but is still above FMSY (based on 2011 stock assessment).
The biomass of northern hake is above possible Maximum Sustainable Yield (MSY) and/or Precautionary Approach (PA) biomass reference points (MSY Btrigger, Bpa and Blim). Fishing mortality (F) has been decreasing in recent years, but is still above FMSY (based on 2011 stock assessment).
The biomass of northern hake is above possible Maximum Sustainable Yield (MSY) and/or Precautionary Approach (PA) biomass reference points (MSY Btrigger, Bpa and Blim). Fishing mortality (F) has been decreasing in recent years, but is still above FMSY (based on 2011 stock assessment).
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
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There are insufficient data to provide quantitative targets for GES definition, but data demonstrate that there has been no significant deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but data demonstrate that there has been no significant deterioration in status for the duration of available time series.
Out of four sole stocks in the Irish assessment area, the SSB of one stock (VIIa) is below Maximum Sustainable Yield (MSY) and/or Precautionary Approach (PA) reference points (MSY Btrigger, Bpa and Blim), one is above (VIIfg), while the status of Sole in VIIbc and VIIh-k is unknown. In relation to fishing mortality, one out of the four sole stocks around Ireland is currently overfished (VIIa), while two stocks are considered to be exploited sustainably (VIIf-g and VIIh-k). Sole in VIIb-c is a data limited stock and F is unknown.
Out of four sole stocks in the Irish assessment area, the SSB of one stock (VIIa) is below Maximum Sustainable Yield (MSY) and/or Precautionary Approach (PA) reference points (MSY Btrigger, Bpa and Blim), one is above (VIIfg), while the status of Sole in VIIbc and VIIh-k is unknown. In relation to fishing mortality, one out of the four sole stocks around Ireland is currently overfished (VIIa), while two stocks are considered to be exploited sustainably (VIIf-g and VIIh-k). Sole in VIIb-c is a data limited stock and F is unknown.
Out of four sole stocks in the Irish assessment area, the SSB of one stock (VIIa) is below Maximum Sustainable Yield (MSY) and/or Precautionary Approach (PA) reference points (MSY Btrigger, Bpa and Blim), one is above (VIIfg), while the status of Sole in VIIbc and VIIh-k is unknown. In relation to fishing mortality, one out of the four sole stocks around Ireland is currently overfished (VIIa), while two stocks are considered to be exploited sustainably (VIIf-g and VIIh-k). Sole in VIIb-c is a data limited stock and F is unknown.
Out of four sole stocks in the Irish assessment area, the SSB of one stock (VIIa) is below Maximum Sustainable Yield (MSY) and/or Precautionary Approach (PA) reference points (MSY Btrigger, Bpa and Blim), one is above (VIIfg), while the status of Sole in VIIbc and VIIh-k is unknown. In relation to fishing mortality, one out of the four sole stocks around Ireland is currently overfished (VIIa), while two stocks are considered to be exploited sustainably (VIIf-g and VIIh-k). Sole in VIIb-c is a data limited stock and F is unknown.
Out of four sole stocks in the Irish assessment area, the SSB of one stock (VIIa) is below Maximum Sustainable Yield (MSY) and/or Precautionary Approach (PA) reference points (MSY Btrigger, Bpa and Blim), one is above (VIIfg), while the status of SSB of Sole in VIIbc and VIIh-k is unknown. In relation to fishing mortality, one out of the four sole stocks around Ireland is currently overfished (VIIa), while two stocks are considered to be exploited sustainably (VIIf-g and VIIh-k). Sole in VIIb-c is a data limited stock and F is unknown. No deterioration in status in relation to distribution or population condition was detected.
Out of four sole stocks in the Irish assessment area, the SSB of one stock (VIIa) is below Maximum Sustainable Yield (MSY) and/or Precautionary Approach (PA) reference points (MSY Btrigger, Bpa and Blim), one is above (VIIfg), while the status of SSB of Sole in VIIbc and VIIh-k is unknown. In relation to fishing mortality, one out of the four sole stocks around Ireland is currently overfished (VIIa), while two stocks are considered to be exploited sustainably (VIIf-g and VIIh-k). Sole in VIIb-c is a data limited stock and F is unknown. No deterioration in status in relation to distribution or population condition was detected.
There are insufficient data to provide quantitative targets for GES definition.
There are insufficient data to provide quantitative targets for GES definition.
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There are insufficient data to provide quantitative targets for GES definition.
There are insufficient data to provide quantitative targets for GES definition.
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There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
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It was not possible to assess on criteria 1.1 Population distribution due to the limited spatial coverage of the stock inside the Irish assessment area (part of VIa) compared to outside the area (rest of VI, IV and IIIa).
It was not possible to assess on criteria 1.1 Population distribution due to the limited spatial coverage of the stock inside the Irish assessment area (part of VIa) compared to outside the area (rest of VI, IV and IIIa).
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There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been an increase in population size and no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been an increase in population size and no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been an increase in population size and no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration and possibly an improvement in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration and possibly an improvement in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration and possibly an improvement in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration and possibly an improvement in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration and possibly an improvement in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been an increase in population size and no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been an increase in population size and no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration and possibly an improvement in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration and possibly an improvement in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration and possibly an improvement in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration and possibly an improvement in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration and possibly an improvement in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration and possibly an improvement in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration and possibly an improvement in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration and possibly an improvement in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration and possibly an improvement in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration and possibly an improvement in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been an increase in population size and no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been an increase in population size and no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been an increase in population size and no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration and possibly an improvement in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration and possibly an improvement in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration and possibly an improvement in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration and possibly an improvement in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration and possibly an improvement in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been an increase in population size and no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been an increase in population size and no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that biomass and abundance of poor cod fluctuated without clear trends.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that biomass and abundance of poor cod fluctuated without clear trends.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that biomass and abundance of poor cod fluctuated without clear trends.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration for the duration of available time series.
There is not sufficient data to provide quantitative targets for GES definition, but data demonstrate that there has been no deterioration in status for the duration of available time series.
There is not sufficient data to provide quantitative targets for GES definition, but data demonstrate that there has been no deterioration in status for the duration of available time series.
In relation to population size, West and North of Scotland (areas VIa & IVa) is likely to be at GES. The status of the Rockall (VIb) megrim stock and the Celtic Sea (VIIb-k & VIIIa,b,e) megrim stock are unknown.
In relation to population size, West and North of Scotland (areas VIa & IVa) is likely to be at GES. The status of the Rockall (VIb) megrim stock and the Celtic Sea (VIIb-k & VIIIa,b,e) megrim stock are unknown.
In relation to population size, West and North of Scotland (areas VIa & IVa) is likely to be at GES. The status of the Rockall (VIb) megrim stock and the Celtic Sea (VIIb-k & VIIIa,b,e) megrim stock are unknown.
In relation to population size, West and North of Scotland (areas VIa & IVa) is likely to be at GES. The status of the Rockall (VIb) megrim stock and the Celtic Sea (VIIb-k & VIIIa,b,e) megrim stock are unknown.
One out of three Megrim stocks (West and North of Scotland VIa & IVa) in the Irish Assessment area is at GES for the reproductive potential and fishing mortality criteria. The Celtic Sea stock (VIIb-k & VIIIa,b,e) shows increasing biomass, but its status against reference points cannot be evaluated. These two stocks combined contribute more than 99% of the international landings of the three stocks.
One out of three Megrim stocks (West and North of Scotland VIa & IVa) in the Irish Assessment area is at GES for the reproductive potential and fishing mortality criteria. The Celtic Sea stock (VIIb-k & VIIIa,b,e) shows increasing biomass, but its status against reference points cannot be evaluated. These two stocks combined contribute more than 99% of the international landings of the three stocks.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been an improvement in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been an improvement in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been an improvement in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
Abundance estimates are based on standardized commercial cpues and tally books. The standardized cpue is at ca. 50% of its initial level which is considered to correspond to the start of the fishery. The tally-book index, which is considered to be a more reliable biomass index, shows an increasing trend since 2000. No reference points have been proposed for this stock. However, the biomass as measured by the standardized commercial cpue index is about half of the virgin biomass and thus likely above any candidate values for MSY Btrigger.
Abundance estimates are based on standardized commercial cpues and tally books. The standardized cpue is at ca. 50% of its initial level which is considered to correspond to the start of the fishery. The tally-book index, which is considered to be a more reliable biomass index, shows an increasing trend since 2000. No reference points have been proposed for this stock. However, the biomass as measured by the standardized commercial cpue index is about half of the virgin biomass and thus likely above any candidate values for MSY Btrigger.
Abundance estimates are based on standardized commercial cpues and tally books. The standardized cpue is at ca. 50% of its initial level which is considered to correspond to the start of the fishery. The tally-book index, which is considered to be a more reliable biomass index, shows an increasing trend since 2000. No reference points have been proposed for this stock. However, the biomass as measured by the standardized commercial cpue index is about half of the virgin biomass and thus likely above any candidate values for MSY Btrigger.
Abundance estimates are based on standardized commercial cpues and tally books. The standardized cpue is at ca. 50% of its initial level which is considered to correspond to the start of the fishery. The tally-book index, which is considered to be a more reliable biomass index, shows an increasing trend since 2000. No reference points have been proposed for this stock. However, the biomass as measured by the standardized commercial cpue index is about half of the virgin biomass and thus likely above any candidate values for MSY Btrigger.
Abundance estimates are based on standardized commercial cpues and tally books. The standardized cpue is at ca. 50% of its initial level which is considered to correspond to the start of the fishery. The tally-book index, which is considered to be a more reliable biomass index, shows an increasing trend since 2000. No reference points have been proposed for this stock. However, the biomass as measured by the standardized commercial cpue index is about half of the virgin biomass and thus likely above any candidate values for MSY Btrigger.
Not assessed due to lack of sufficient time series data.
Not assessed due to lack of sufficient time series data.
n/a
n/a
n/a
n/a
n/a
n/a
Not assessed due to lack of sufficient time series data.
Not assessed due to lack of sufficient time series data.
There are currently insufficient data on population size to allow GES assessment, but historic biomass indices based on commercial CPUEs suggest strong population declines in the past. Due to stringent management restrictions including a zero TAC and protection areas, the fishery for orange roughy in Subareas VI and VII has now ceased. Length frequency data and cpues of the Scottish and Irish deep-water surveys indicate that juveniles are found among the flat grounds of the continental slope in Subareas VI and VII.
There are currently insufficient data on population size to allow GES assessment, but historic biomass indices based on commercial CPUEs suggest strong population declines in the past. Due to stringent management restrictions including a zero TAC and protection areas, the fishery for orange roughy in Subareas VI and VII has now ceased. Length frequency data and cpues of the Scottish and Irish deep-water surveys indicate that juveniles are found among the flat grounds of the continental slope in Subareas VI and VII.
There are currently insufficient data on population size to allow GES assessment, but historic biomass indices based on commercial CPUEs suggest strong population declines in the past. Due to stringent management restrictions including a zero TAC and protection areas, the fishery for orange roughy in Subareas VI and VII has now ceased. Length frequency data and cpues of the Scottish and Irish deep-water surveys indicate that juveniles are found among the flat grounds of the continental slope in Subareas VI and VII.
There are currently insufficient data on population size to allow GES assessment, but historic biomass indices based on commercial CPUEs suggest strong population declines in the past. Due to stringent management restrictions including a zero TAC and protection areas, the fishery for orange roughy in Subareas VI and VII has now ceased. Length frequency data and cpues of the Scottish and Irish deep-water surveys indicate that juveniles are found among the flat grounds of the continental slope in Subareas VI and VII.
There are currently insufficient data on population size to allow GES assessment, but historic biomass indices based on commercial CPUEs suggest strong population declines in the past. Due to stringent management restrictions including a zero TAC and protection areas, the fishery for orange roughy in Subareas VI and VII has now ceased. Length frequency data and cpues of the Scottish and Irish deep-water surveys indicate that juveniles are found among the flat grounds of the continental slope in Subareas VI and VII.
There are currently insufficient data on population size to allow GES assessment, but historic biomass indices based on commercial CPUEs suggest strong population declines in the past. Due to stringent management restrictions including a zero TAC and protection areas, the fishery for orange roughy in Subareas VI and VII has now ceased. Length frequency data and cpues of the Scottish and Irish deep-water surveys indicate that juveniles are found among the flat grounds of the continental slope in Subareas VI and VII.
Not assessed due to lack of sufficient time series data.
Not assessed due to lack of sufficient time series data.
There is no full analytical stock assessment for greater forkbeard in the Northeast Atlantic, to allow GES assessment, but biomass appears stable since 2007 and catches have declined since peak levels in 2000.
There is no full analytical stock assessment for greater forkbeard in the Northeast Atlantic, to allow GES assessment, but biomass appears stable since 2007 and catches have declined since peak levels in 2000.
There is no full analytical stock assessment for greater forkbeard in the Northeast Atlantic, to allow GES assessment, but biomass appears stable since 2007 and catches have declined since peak levels in 2000.
There is no full analytical stock assessment for greater forkbeard in the Northeast Atlantic, to allow GES assessment, but biomass appears stable since 2007 and catches have declined since peak levels in 2000.
There is no full analytical stock assessment for greater forkbeard in the Northeast Atlantic, to allow GES assessment, but biomass appears stable since 2007 and catches have declined since peak levels in 2000.
There is no full analytical stock assessment for greater forkbeard in the Northeast Atlantic, to allow GES assessment, but biomass appears stable since 2007 and catches have declined since peak levels in 2000.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been a deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been a deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been deterioration in population size for the duration of available time series, while all other criteria are stable.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been deterioration in population size for the duration of available time series, while all other criteria are stable.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been deterioration in population size for the duration of available time series, while all other criteria are stable.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been deterioration in population size for the duration of available time series, while all other criteria are stable.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been deterioration in population size for the duration of available time series, while all other criteria are stable.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
In relation to population size, all three cod stocks in the Irish Assessment Area are increasing. The Celtic Sea and Western channel (VIIe-k) cod stock is likely to be at GES, however, stocks in West of Scotland (VIa) and Irish Sea (VIIa) are remain critically low for Cod stocks in VIa and VIIa
In relation to population size, all three cod stocks in the Irish Assessment Area are increasing. The Celtic Sea and Western channel (VIIe-k) cod stock is likely to be at GES, however, stocks in West of Scotland (VIa) and Irish Sea (VIIa) are remain critically low for Cod stocks in VIa and VIIa
In relation to population size, all three cod stocks in the Irish Assessment Area are increasing. The Celtic Sea and Western channel (VIIe-k) cod stock is likely to be at GES, however, stocks in West of Scotland (VIa) and Irish Sea (VIIa) are remain critically low for Cod stocks in VIa and VIIa
In relation to population size, all three cod stocks in the Irish Assessment Area are increasing. The Celtic Sea and Western channel (VIIe-k) cod stock is likely to be at GES, however, stocks in West of Scotland (VIa) and Irish Sea (VIIa) are remain critically low for Cod stocks in VIa and VIIa
Out of three cod stocks in the Irish Assessment Area, Irish Sea cod (VIIe-k) is likely to be at GES while the status of cod stocks West of Scotland (VIa) and in the Celtic Sea and Western channel (VIIe-k) are likely to be below GES.
Out of three cod stocks in the Irish Assessment Area, Irish Sea cod (VIIe-k) is likely to be at GES while the status of cod stocks West of Scotland (VIa) and in the Celtic Sea and Western channel (VIIe-k) are likely to be below GES.
Not assessed due to lack of sufficient time series data.
Not assessed due to lack of sufficient time series data.
There is no full analytical stock assessment for blue ling in Division Vb and Subareas VI and VII, Biomass is increasing, but current biomass in relation to Btrigger is unknown and there is a possibility that the stock is below this point. Fishing mortality is decreasing since 2003–2004 and is currently below possible FMSY proxies.
There is no full analytical stock assessment for blue ling in Division Vb and Subareas VI and VII, Biomass is increasing, but current biomass in relation to Btrigger is unknown and there is a possibility that the stock is below this point. Fishing mortality is decreasing since 2003–2004 and is currently below possible FMSY proxies.
There is no full analytical stock assessment for blue ling in Division Vb and Subareas VI and VII, Biomass is increasing, but current biomass in relation to Btrigger is unknown and there is a possibility that the stock is below this point. Fishing mortality is decreasing since 2003–2004 and is currently below possible FMSY proxies.
There is no full analytical stock assessment for blue ling in Division Vb and Subareas VI and VII, Biomass is increasing, but current biomass in relation to Btrigger is unknown and there is a possibility that the stock is below this point. Fishing mortality is decreasing since 2003–2004 and is currently below possible FMSY proxies.
There is no full analytical stock assessment for blue ling in Division Vb and Subareas VI and VII, Biomass is increasing, but current biomass in relation to Btrigger is unknown and there is a possibility that the stock is below this point. Fishing mortality is decreasing since 2003–2004 and is currently below possible FMSY proxies.
There is no full analytical stock assessment for blue ling in Division Vb and Subareas VI and VII, Biomass is increasing, but current biomass in relation to Btrigger is unknown and there is a possibility that the stock is below this point. Fishing mortality is decreasing since 2003–2004 and is currently below possible FMSY proxies.
Not assessed due to lack of sufficient time series data
Not assessed due to lack of sufficient time series data
There are currently insufficient data on population size to allow GES assessment but trends in relative abundance estimates show that historic Portuguese dogfish abundance has declined to levels below any candidate reference point. Landings have declined in response to reduced abundance and restrictive management measures (e.g. TAC = 0 from 2010 onwards).
There are currently insufficient data on population size to allow GES assessment but trends in relative abundance estimates show that historic Portuguese dogfish abundance has declined to levels below any candidate reference point. Landings have declined in response to reduced abundance and restrictive management measures (e.g. TAC = 0 from 2010 onwards).
There are currently insufficient data on population size to allow GES assessment but trends in relative abundance estimates show that historic Portuguese dogfish abundance has declined to levels below any candidate reference point. Landings have declined in response to reduced abundance and restrictive management measures (e.g. TAC = 0 from 2010 onwards).
There are currently insufficient data on population size to allow GES assessment but trends in relative abundance estimates show that historic Portuguese dogfish abundance has declined to levels below any candidate reference point. Landings have declined in response to reduced abundance and restrictive management measures (e.g. TAC = 0 from 2010 onwards).
There are currently insufficient data on population size to allow GES assessment but trends in relative abundance estimates show that historic Portuguese dogfish abundance has declined to levels below any candidate reference point. Landings have declined in response to reduced abundance and restrictive management measures (e.g. TAC = 0 from 2010 onwards).
There are currently insufficient data on population size to allow GES assessment but trends in relative abundance estimates show that historic Portuguese dogfish abundance has declined to levels below any candidate reference point. Landings have declined in response to reduced abundance and restrictive management measures (e.g. TAC = 0 from 2010 onwards).
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series
There is no assessment against MSY reference points, but data suggest that current exploitation is not impacting negatively on stock levels.
There is no assessment against MSY reference points, but data suggest that current exploitation is not impacting negatively on stock levels.
There is no assessment against MSY reference points, but data suggest that current exploitation is not impacting negatively on stock levels.
There is no assessment against MSY reference points, but data suggest that current exploitation is not impacting negatively on stock levels.
There is no assessment against MSY reference points, but data suggest that current exploitation is not impacting negatively on stock levels of ling in other areas.
There is no assessment against MSY reference points, but data suggest that current exploitation is not impacting negatively on stock levels of ling in other areas.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There is no assessment against MSY reference points, but stock size indicator show increasing trends in abundance. Given increased abundance and reduced catches, it can be inferred that exploitation rate (fishing mortality) has declined and is not negatively impacting on stock levels.
There is no assessment against MSY reference points, but stock size indicator show increasing trends in abundance. Given increased abundance and reduced catches, it can be inferred that exploitation rate (fishing mortality) has declined and is not negatively impacting on stock levels.
There is no assessment against MSY reference points, but stock size indicator show increasing trends in abundance. Given increased abundance and reduced catches, it can be inferred that exploitation rate (fishing mortality) has declined and is not negatively impacting on stock levels.
There is no assessment against MSY reference points, but stock size indicator show increasing trends in abundance. Given increased abundance and reduced catches, it can be inferred that exploitation rate (fishing mortality) has declined and is not negatively impacting on stock levels.
There is no assessment against MSY reference points, but stock size indicator show increasing trends in abundance. Given increased abundance and reduced catches, it can be inferred that exploitation rate (fishing mortality) has declined and is not negatively impacting on stock levels.
There is no assessment against MSY reference points, but stock size indicator show increasing trends in abundance. Given increased abundance and reduced catches, it can be inferred that exploitation rate (fishing mortality) has declined and is not negatively impacting on stock levels.
Not assessed due to lack of sufficient time series data
Not assessed due to lack of sufficient time series data
Biomass indices based on surveys and commercial CPUEs suggest strong population declines in the past and biomass is probably below Btrigger and considered depleted. Due to zero TACs the directed fishery for leafscale gulper shark has now ceased, but they are taken as a bycatch in other fisheries.
Biomass indices based on surveys and commercial CPUEs suggest strong population declines in the past and biomass is probably below Btrigger and considered depleted. Due to zero TACs the directed fishery for leafscale gulper shark has now ceased, but they are taken as a bycatch in other fisheries.
Biomass indices based on surveys and commercial CPUEs suggest strong population declines in the past and biomass is probably below Btrigger and considered depleted. Due to zero TACs the directed fishery for leafscale gulper shark has now ceased, but they are taken as a bycatch in other fisheries.
Biomass indices based on surveys and commercial CPUEs suggest strong population declines in the past and biomass is probably below Btrigger and considered depleted. Due to zero TACs the directed fishery for leafscale gulper shark has now ceased, but they are taken as a bycatch in other fisheries.
Biomass indices based on surveys and commercial CPUEs suggest strong population declines in the past and biomass is probably below Btrigger and considered depleted. Due to zero TACs the directed fishery for leafscale gulper shark has now ceased, but they are taken as a bycatch in other fisheries.
Biomass indices based on surveys and commercial CPUEs suggest strong population declines in the past and biomass is probably below Btrigger and considered depleted. Due to zero TACs the directed fishery for leafscale gulper shark has now ceased, but they are taken as a bycatch in other fisheries.
There is not sufficient data to provide quantitative targets for GES definition, but data demonstrate that there has been no deterioration in status for the duration of available time series.
There is not sufficient data to provide quantitative targets for GES definition, but data demonstrate that there has been no deterioration in status for the duration of available time series.
There is not sufficient data to provide quantitative targets for GES definition, but data demonstrate that there has been no deterioration in status for the duration of available time series.
There is not sufficient data to provide quantitative targets for GES definition, but data demonstrate that there has been no deterioration in status for the duration of available time series.
There is not sufficient data to provide quantitative targets for GES definition, but data demonstrate that there has been no deterioration in status for the duration of available time series.
There is not sufficient data to provide quantitative targets for GES definition, but data demonstrate that there has been no deterioration in status for the duration of available time series.
There is not sufficient data to provide quantitative targets for GES definition, but data demonstrate that there has been no deterioration in status for the duration of available time series.
There is not sufficient data to provide quantitative targets for GES definition, but data demonstrate that there has been no deterioration in status for the duration of available time series.
There is not sufficient data to provide quantitative targets for GES definition, but data demonstrate that there has been no deterioration in status for the duration of available time series.
There is not sufficient data to provide quantitative targets for GES definition, but data demonstrate that there has been no deterioration in status for the duration of available time series.
There is not sufficient data to provide quantitative targets for GES definition, but data demonstrate that there has been no deterioration in status for the duration of available time series.
There is not sufficient data to provide quantitative targets for GES definition, but data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
Not good, although MSY Btrigger has not been identified for this stock, but it is highly likely that current SSB is below any candidate MSY Btrigger. Fishing is currently below MSY reference points (FMSY).
Not good, although MSY Btrigger has not been identified for this stock, but it is highly likely that current SSB is below any candidate MSY Btrigger. Fishing is currently below MSY reference points (FMSY).
Not good, although MSY Btrigger has not been identified for this stock, but it is highly likely that current SSB is below any candidate MSY Btrigger. Fishing is currently below MSY reference points (FMSY).
Not good, although MSY Btrigger has not been identified for this stock, but it is highly likely that current SSB is below any candidate MSY Btrigger. Fishing is currently below MSY reference points (FMSY).
Data demonstrate that there has been no deterioration in distribution or condition but there are concerns regarding the population size which appears to be stable at a low level. Although MSY Btrigger has not been identified for this stock, it is highly likely that current SSB is below any candidate MSY Btrigger. Fishing is currently below MSY reference points (FMSY).
Data demonstrate that there has been no deterioration in distribution or condition but there are concerns regarding the population size which appears to be stable at a low level. Although MSY Btrigger has not been identified for this stock, it is highly likely that current SSB is below any candidate MSY Btrigger. Fishing is currently below MSY reference points (FMSY).
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series. Fishing pressure has declined to low levels.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series. Fishing pressure has declined to low levels.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series. Fishing pressure has declined to low levels.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series. Fishing pressure has declined to low levels.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series. Fishing pressure has declined to low levels.
There are insufficient data to provide quantitative targets for GES definition, but the data demonstrate that there has been no deterioration in status for the duration of available time series. Fishing pressure has declined to low levels.
Status Trend
Improving
Improving
Improving
Improving
Improving
Improving
Improving
Improving
Stable
Stable
Declining
Declining
Declining
Declining
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Improving
Improving
Improving
Improving
Improving
Improving
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Improving
Improving
Improving
Improving
Improving
Improving
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Improving
Improving
Improving
Improving
Improving
Improving
Stable
Stable
Declining
Declining
Declining
Declining
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Unknown_NotAssessed
Unknown_NotAssessed
Stable
Stable
Stable
Stable
Stable
Stable
Unknown_NotAssessed
Unknown_NotAssessed
Improving
Improving
Improving
Improving
Improving
Improving
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Unknown_NotAssessed
Unknown_NotAssessed
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Improving
Improving
Improving
Improving
Improving
Improving
Improving
Improving
Stable
Stable
Improving
Improving
Improving
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Improving
Improving
Improving
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Improving
Improving
Improving
Improving
Improving
Improving
Improving
Improving
Unknown_NotAssessed
Unknown_NotAssessed
Stable
Stable
Stable
Stable
Improving
Unknown_NotAssessed
Unknown_NotAssessed
Improving
Improving
Improving
Improving
Improving
Improving
Unknown_NotAssessed
Unknown_NotAssessed
Improving
Improving
Improving
Improving
Improving
Improving
Unknown_NotAssessed
Unknown_NotAssessed
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Declining
Declining
Declining
Declining
Declining
Declining
Declining
Declining
Stable
Stable
Improving
Improving
Improving
Improving
Improving
Improving
Unknown_NotAssessed
Unknown_NotAssessed
Improving
Improving
Improving
Improving
Improving
Improving
Unknown_NotAssessed
Unknown_NotAssessed
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Improving
Improving
Improving
Improving
Improving
Improving
Unknown_NotAssessed
Unknown_NotAssessed
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Stable
Status Confidence