Member State report / Art8-2024 / 2024 / D1-M / Italy / Mediterranean: Western Mediterranean Sea
| Report type | Member State report to Commission |
| MSFD Article | Art8 |
| Report due | 2024-10-15 |
| GES Descriptor | D1 Mammals |
| Member State | Italy |
| Region/subregion | Mediterranean: Western Mediterranean Sea |
| Report date | 2025-09-11 10:38:38 |
MWE-IT-MS-WMS
Regional assessment area |
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Component MRUs |
||||||||||||||||||||||||||||
GES component |
D1M |
D1M |
D1M |
D1M |
D1M |
D1M |
D1M |
D1M |
D1M |
D1M |
D1M |
D1M |
D1M |
D1M |
D1M |
D1M |
D1M |
D1M |
D1M |
D1M |
D1M |
D1M |
D1M |
D1M |
D1M |
D1M |
D1M |
D1M |
Feature |
Baleen whales
|
Baleen whales
|
Baleen whales
|
Baleen whales
|
Deep-diving toothed cetaceans
|
Deep-diving toothed cetaceans
|
Deep-diving toothed cetaceans
|
Deep-diving toothed cetaceans
|
Deep-diving toothed cetaceans
|
Deep-diving toothed cetaceans
|
Deep-diving toothed cetaceans
|
Deep-diving toothed cetaceans
|
Deep-diving toothed cetaceans
|
Deep-diving toothed cetaceans
|
Deep-diving toothed cetaceans
|
Deep-diving toothed cetaceans
|
Deep-diving toothed cetaceans
|
Deep-diving toothed cetaceans
|
Deep-diving toothed cetaceans
|
Deep-diving toothed cetaceans
|
Small toothed cetaceans
|
Small toothed cetaceans
|
Small toothed cetaceans
|
Small toothed cetaceans
|
Small toothed cetaceans
|
Small toothed cetaceans
|
Small toothed cetaceans
|
Small toothed cetaceans
|
Element |
Balaenoptera physalus |
Balaenoptera physalus |
Balaenoptera physalus |
Balaenoptera physalus |
Globicephala melas |
Globicephala melas |
Globicephala melas |
Globicephala melas |
Grampus griseus |
Grampus griseus |
Grampus griseus |
Grampus griseus |
Physeter macrocephalus |
Physeter macrocephalus |
Physeter macrocephalus |
Physeter macrocephalus |
Ziphius cavirostris |
Ziphius cavirostris |
Ziphius cavirostris |
Ziphius cavirostris |
Stenella coeruleoalba |
Stenella coeruleoalba |
Stenella coeruleoalba |
Stenella coeruleoalba |
Tursiops truncatus |
Tursiops truncatus |
Tursiops truncatus |
Tursiops truncatus |
Element extent |
||||||||||||||||||||||||||||
Trend element |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Element 2 |
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Element source |
National |
National |
National |
National |
National |
National |
National |
National |
National |
National |
National |
National |
National |
National |
National |
National |
National |
National |
National |
National |
National |
National |
National |
National |
National |
National |
National |
National |
Criterion |
D1C1
|
D1C2
|
D1C4
|
D1C5
|
D1C1
|
D1C2
|
D1C4
|
D1C5
|
D1C1
|
D1C2
|
D1C4
|
D1C5
|
D1C1
|
D1C2
|
D1C4
|
D1C5
|
D1C1
|
D1C2
|
D1C4
|
D1C5
|
D1C1
|
D1C2
|
D1C4
|
D1C5
|
D1C1
|
D1C2
|
D1C4
|
D1C5
|
Parameter |
Mortality rate / Mortality rate from fishing (F)
|
Abundance
|
Distribution (range)
|
Habitat condition
|
Mortality rate / Mortality rate from fishing (F)
|
Abundance
|
Distribution (range)
|
Habitat condition
|
Mortality rate / Mortality rate from fishing (F)
|
Abundance
|
Distribution (range)
|
Habitat condition
|
Mortality rate / Mortality rate from fishing (F)
|
Abundance
|
Distribution (range)
|
Habitat condition
|
Mortality rate / Mortality rate from fishing (F)
|
Abundance
|
Distribution (range)
|
Habitat condition
|
Mortality rate / Mortality rate from fishing (F)
|
Abundance
|
Distribution (range)
|
Habitat condition
|
Mortality rate / Mortality rate from fishing (F)
|
Abundance
|
Distribution (range)
|
Habitat condition
|
Threshold value upper |
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Threshold value lower |
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Threshold value operator |
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Threshold qualitative |
Notwithstanding the similarity in abundance values between 2018-2020 and 2010 within the Pelagos Sanctuary, the parameter is assessed as negative in light of the IUCN status |
Results of the monitoring studies carried out since 2010 corroborate the prevailing distribution pattern in the pelagic waters of the northwestern Mediterranean, with a notable concentration in the Pelagos Sanctuary during the summer feeding season |
Tha habitat occupie Fin whale data from monitoring activities carried out since 2010 a stable, widespread distribution within pelagic habitats |
Autumn 2020 abundance estimate was elevated and exhibited no significant deviations from ASI 2018. The results are consistent with the findings of Panigada et al., 2017. Some seasonal fluctuations, but overall, the population appears to be healthy. |
The distributional range analysed using the Habitat Directive tool aligns with the species' ecological requirements. No significant differences were found compared to previous data. Distribution in pelagic habitat is confirmed since 2010 surveys |
The presence of dolphin groups in the pelagic habitat aligns with previous findings, suggesting that this habitat provides the necessary resources for the species |
Population abundance in 2018 and 2020 exceeded levels reported by Lauriano et al. (2014) for the same area. Minor variations between 2018 and 2020 may be attributed to the different monitoring seasons. Data suggest that the specie is not threatened. |
The distributional range analysed using the Habitat Directive tool aligns with the species' ecological requirements, which consist in neritic area. No significant differences were found compared to previous data related to the coastal distribution |
The consistent presence of dolphin groups in the coastal habitat, as demonstrated by 2018 and 2020 data, aligns with previous findings, suggesting that this habitat provides the necessary resources for the species |
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Threshold value source |
||||||||||||||||||||||||||||
Value achieved upper |
5.0 |
997.0 |
5.0 |
7.0 |
30.0 |
3.0 |
319.0 |
89158.0 |
172.0 |
14787.0 |
||||||||||||||||||
Value achieved lower |
270.0 |
56475.0 |
2594.0 |
|||||||||||||||||||||||||
Value unit |
individuals
|
individuals
|
individuals
|
individuals
|
individuals
|
individuals
|
individuals
|
individuals
|
individuals
|
individuals
|
||||||||||||||||||
Proportion threshold value |
100.0 |
100.0 |
100.0 |
100.0 |
100.0 |
100.0 |
100.0 |
100.0 |
100.0 |
100.0 |
100.0 |
100.0 |
100.0 |
100.0 |
100.0 |
100.0 |
100.0 |
100.0 |
100.0 |
100.0 |
100.0 |
100.0 |
100.0 |
100.0 |
100.0 |
100.0 |
100.0 |
100.0 |
Proportion value achieved |
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Proportion threshold value unit |
% area of habitat achieving threshold value |
% area of habitat achieving threshold value |
% area of habitat achieving threshold value |
% area of habitat achieving threshold value |
% area of habitat achieving threshold value |
% area of habitat achieving threshold value |
% area of habitat achieving threshold value |
% area of habitat achieving threshold value |
% area of habitat achieving threshold value |
% area of habitat achieving threshold value |
% area of habitat achieving threshold value |
% area of habitat achieving threshold value |
% area of habitat achieving threshold value |
% area of habitat achieving threshold value |
% area of habitat achieving threshold value |
% area of habitat achieving threshold value |
% area of habitat achieving threshold value |
% area of habitat achieving threshold value |
% area of habitat achieving threshold value |
% area of habitat achieving threshold value |
% area of habitat achieving threshold value |
% area of habitat achieving threshold value |
% area of habitat achieving threshold value |
% area of habitat achieving threshold value |
% area of habitat achieving threshold value |
% area of habitat achieving threshold value |
% area of habitat achieving threshold value |
% area of habitat achieving threshold value |
Trend parameter |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Parameter achieved |
Unknown |
No |
Yes |
Yes |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Yes |
Yes |
Yes |
Unknown |
Yes |
Unknown |
Yes |
Description parameter |
The threshold value for fishing mortality has not been calculated due to a lack of adequate information on bycatch levels within the MRU. The threshold value of mortality due to fishing activities has not been calculated due to a lack of adequate information regarding the numerical abundance of bycatches. A limit value of anthropogenic mortality, considering the ecological requirements of the species and more generally of cetaceans, could be calculated by applying the Potential Biological Removal (PBR) to the best estimate of population abundance and after regional or sub-regional consultation. The parameters of the PBR formula, Recovery factor and Rmax, can be chosen based on the species IUCN conservation status (Lauriano et al., 2023). However, fishing activities are not considered a significant threat to the fin whale |
The distribution and abundance data collected over the preceding six years provided only partial coverage of the MRU, consequently precluding the assessment of the parameter. A monitoring survey was conducted in the study area during autumn 2020 produced an estimate of 514 individuals (CV 0.33) in the Tyrrhenian sea and 293 (CV=0.44) in the west Pelagos where the species is concentrated for feeding activities in summer. Data from 2018 ACCOBAMS summer monitoring are181 individuals (CV 0.87) and 254 (CV=0.39), fro the two area, respectively. Nevertheless, It is not possible to define a threshold value of criterion D1C2 due to the lack of historical time series for the species and the absence of sub-regional coordination. |
A standardized method for quantifying threshold values for criteria D1C4 and D1C5, which are closely correlated, is currently unavailable. Furthermore, habitats, characterized by biotic and abiotic elements essential for the species' life cycle, are dynamic and subject to changes influenced by fluctuations in abiotic factors.
For the qualitative assessment of the criterion, the distribution parameter was considered using distribution maps obtained from MSFD monitoring activities and research conducted before 2016 during the previous reporting cycle, applying the Habitat Directive's range tool.
In this regard, Directive 2017/848 references the Habitat Directive for range delineation using an algorithm (range tool) (http://discomap.eea.europa.eu/App/RangeTool/) that generates a polygon based on species occurrence data. However, the application of this method yields imprecise results due to its dependence on the extent of surveyed areas, sampling effort, and the arbitrary selection of a threshold distance beyond which species occurrences are excluded from the polygon (gap distance). A range map is provided indicating the habitat of the specie. |
A standardized method for quantifying threshold values for criteria D1C4 and D1C5, which are closely correlated, is currently unavailable. Furthermore, habitats, characterized by biotic and abiotic elements essential for the species' life cycle, are dynamic and subject to changes influenced by fluctuations in abiotic factors. In addition, biotic and abiotic elements might have been negatively influenced by human activities; hence the habitat of a given species might have degraded to the point of not being anymore suitable.
For the qualitative assessment of the criterion, the distribution parameter was considered using distribution maps obtained from MSFD monitoring activities and research conducted before 2016 during the previous reporting cycle, applying the Habitat Directive's range tool.
In this regard, Directive 2017/848 references the Habitat Directive for range delineation using an algorithm (range tool) (http://discomap.eea.europa.eu/App/RangeTool/) that generates a polygon based on species occurrence data. However, the application of this method yields imprecise results due to its dependence on the extent of surveyed areas, sampling effort, and the arbitrary selection of a threshold distance beyond which species occurrences are excluded from the polygon (gap distance). A range map is provided indicating the habitat of the specie. |
Lack of relaible of bycatch data
|
Elusive species with very low density, hence the data are insufficient to estimates a robust abundances |
A standardized method for quantifying threshold values for criteria D1C4 and D1C5, which are closely correlated, is currently unavailable. Furthermore, habitats, characterized by biotic and abiotic elements essential for the species' life cycle, are dynamic and subject to changes influenced by fluctuations in abiotic factors.
For the qualitative assessment of the criterion, the distribution parameter was considered using distribution maps obtained from MSFD monitoring activities and research conducted before 2016 during the previous reporting cycle, applying the Habitat Directive's range tool.
In this regard, Directive 2017/848 references the Habitat Directive for range delineation using an algorithm (range tool) (http://discomap.eea.europa.eu/App/RangeTool/) that generates a polygon based on species occurrence data. However, the application of this method yields imprecise results due to its dependence on the extent of surveyed areas, sampling effort, and the arbitrary selection of a threshold distance beyond which species occurrences are excluded from the polygon (gap distance). A range map is provided indicating the habitat of the specie. |
A standardized method for quantifying threshold values for criteria D1C4 and D1C5, which are closely correlated, is currently unavailable. Furthermore, habitats, characterized by biotic and abiotic elements essential for the species' life cycle, are dynamic and subject to changes influenced by fluctuations in abiotic factors. In addition, biotic and abiotic elements might have been negatively influenced by human activities; hence the habitat of a given species might have degraded to the point of not being anymore suitable.
For the qualitative assessment of the criterion, the distribution parameter was considered using distribution maps obtained from MSFD monitoring activities and research conducted before 2016 during the previous reporting cycle, applying the Habitat Directive's range tool.
In this regard, Directive 2017/848 references the Habitat Directive for range delineation using an algorithm (range tool) (http://discomap.eea.europa.eu/App/RangeTool/) that generates a polygon based on species occurrence data. However, the application of this method yields imprecise results due to its dependence on the extent of surveyed areas, sampling effort, and the arbitrary selection of a threshold distance beyond which species occurrences are excluded from the polygon (gap distance). A range map is provided indicating the habitat of the specie. |
Lack of relaible of bycatch data
|
Elusive species with low density, hence the data are insufficient to estimates a robust abundances |
A standardized method for quantifying threshold values for criteria D1C4 and D1C5, which are closely correlated, is currently unavailable. Furthermore, habitats, characterized by biotic and abiotic elements essential for the species' life cycle, are dynamic and subject to changes influenced by fluctuations in abiotic factors.
For the qualitative assessment of the criterion, the distribution parameter was considered using distribution maps obtained from MSFD monitoring activities and research conducted before 2016 during the previous reporting cycle, applying the Habitat Directive's range tool.
In this regard, Directive 2017/848 references the Habitat Directive for range delineation using an algorithm (range tool) (http://discomap.eea.europa.eu/App/RangeTool/) that generates a polygon based on species occurrence data. However, the application of this method yields imprecise results due to its dependence on the extent of surveyed areas, sampling effort, and the arbitrary selection of a threshold distance beyond which species occurrences are excluded from the polygon (gap distance). A range map is provided indicating the habitat of the specie. |
A standardized method for quantifying threshold values for criteria D1C4 and D1C5, which are closely correlated, is currently unavailable. Furthermore, habitats, characterized by biotic and abiotic elements essential for the species' life cycle, are dynamic and subject to changes influenced by fluctuations in abiotic factors. In addition, biotic and abiotic elements might have been negatively influenced by human activities; hence the habitat of a given species might have degraded to the point of not being anymore suitable.
For the qualitative assessment of the criterion, the distribution parameter was considered using distribution maps obtained from MSFD monitoring activities and research conducted before 2016 during the previous reporting cycle, applying the Habitat Directive's range tool.
In this regard, Directive 2017/848 references the Habitat Directive for range delineation using an algorithm (range tool) (http://discomap.eea.europa.eu/App/RangeTool/) that generates a polygon based on species occurrence data. However, the application of this method yields imprecise results due to its dependence on the extent of surveyed areas, sampling effort, and the arbitrary selection of a threshold distance beyond which species occurrences are excluded from the polygon (gap distance). A range map is provided indicating the habitat of the specie. |
The threshold value for fishing mortality has not been calculated due to a lack of adequate information on bycatch levels within the MRU. The value reported in the """"ValueAchievedUpper""""is referring to the italian stranding database and fishery related. A limit value of anthropogenic mortality, considering the ecological requirements of the species and more generally of cetaceans, could be calculated by applying the Potential Biological Removal (PBR) to the best estimate of population abundance and after regional or sub-regional consultation. The parameters of the PBR formula, Recovery factor and Rmax, can be chosen based on the species IUCN conservation status (Lauriano et al., 2023). |
The Mediterranean subpopulation of sperm whales is assessed as Endangered according to criterion C2a(ii) (Pirotta et al., 2021). Historical time series are lacking, and population size estimates vary depending on the study methods used. The highest abundance estimate of 4600 individuals was produced by the ACCOBAMS summer survey using visual-acoustic surveys, but this value does not align with local information from photo-identification studies. Currently, the lack of certainty about population size and the absence of necessary regional coordination prevent the establishment of a threshold value. However, considering that the number of mature individuals is estimated to be less than 2550 and given the anthropogenic pressures at the regional level, non-natural mortality should be zero. |
A standardized method for quantifying threshold values for criteria D1C4 and D1C5, which are closely correlated, is currently unavailable. Furthermore, habitats, characterized by biotic and abiotic elements essential for the species' life cycle, are dynamic and subject to changes influenced by fluctuations in abiotic factors.
For the qualitative assessment of the criterion, the distribution parameter was considered using distribution maps obtained from MSFD monitoring activities and research conducted before 2016 during the previous reporting cycle, applying the Habitat Directive's range tool.
In this regard, Directive 2017/848 references the Habitat Directive for range delineation using an algorithm (range tool) (http://discomap.eea.europa.eu/App/RangeTool/) that generates a polygon based on species occurrence data. However, the application of this method yields imprecise results due to its dependence on the extent of surveyed areas, sampling effort, and the arbitrary selection of a threshold distance beyond which species occurrences are excluded from the polygon (gap distance). A range map is provided indicating the habitat of the specie. |
A standardized method for quantifying threshold values for criteria D1C4 and D1C5, which are closely correlated, is currently unavailable. Furthermore, habitats, characterized by biotic and abiotic elements essential for the species' life cycle, are dynamic and subject to changes influenced by fluctuations in abiotic factors. In addition, biotic and abiotic elements might have been negatively influenced by human activities; hence the habitat of a given species might have degraded to the point of not being anymore suitable.
For the qualitative assessment of the criterion, the distribution parameter was considered using distribution maps obtained from MSFD monitoring activities and research conducted before 2016 during the previous reporting cycle, applying the Habitat Directive's range tool.
In this regard, Directive 2017/848 references the Habitat Directive for range delineation using an algorithm (range tool) (http://discomap.eea.europa.eu/App/RangeTool/) that generates a polygon based on species occurrence data. However, the application of this method yields imprecise results due to its dependence on the extent of surveyed areas, sampling effort, and the arbitrary selection of a threshold distance beyond which species occurrences are excluded from the polygon (gap distance). A range map is provided indicating the habitat of the specie. |
Lack of relaible of bycatch data
|
Elusive species with low density, hence the data are insufficient to estimates a robust abundances |
A standardized method for quantifying threshold values for criteria D1C4 and D1C5, which are closely correlated, is currently unavailable. Furthermore, habitats, characterized by biotic and abiotic elements essential for the species' life cycle, are dynamic and subject to changes influenced by fluctuations in abiotic factors.
For the qualitative assessment of the criterion, the distribution parameter was considered using distribution maps obtained from MSFD monitoring activities and research conducted before 2016 during the previous reporting cycle, applying the Habitat Directive's range tool.
In this regard, Directive 2017/848 references the Habitat Directive for range delineation using an algorithm (range tool) (http://discomap.eea.europa.eu/App/RangeTool/) that generates a polygon based on species occurrence data. However, the application of this method yields imprecise results due to its dependence on the extent of surveyed areas, sampling effort, and the arbitrary selection of a threshold distance beyond which species occurrences are excluded from the polygon (gap distance). A range map is provided indicating the habitat of the specie. |
A standardized method for quantifying threshold values for criteria D1C4 and D1C5, which are closely correlated, is currently unavailable. Furthermore, habitats, characterized by biotic and abiotic elements essential for the species' life cycle, are dynamic and subject to changes influenced by fluctuations in abiotic factors. In addition, biotic and abiotic elements might have been negatively influenced by human activities; hence the habitat of a given species might have degraded to the point of not being anymore suitable.
For the qualitative assessment of the criterion, the distribution parameter was considered using distribution maps obtained from MSFD monitoring activities and research conducted before 2016 during the previous reporting cycle, applying the Habitat Directive's range tool.
In this regard, Directive 2017/848 references the Habitat Directive for range delineation using an algorithm (range tool) (http://discomap.eea.europa.eu/App/RangeTool/) that generates a polygon based on species occurrence data. However, the application of this method yields imprecise results due to its dependence on the extent of surveyed areas, sampling effort, and the arbitrary selection of a threshold distance beyond which species occurrences are excluded from the polygon (gap distance). A range map is provided indicating the habitat of the specie. |
The data reported in the """"ValueAchievedUpper""""is referring to the stranding report for the Ligurian Sea and all the Tyrrhenina Sea and fishery related. Nevertheless, a threshold value for fishing mortality has not been calculated due to a lack of adequate information on bycatch levels within the MRU. A limit value of anthropogenic mortality, considering the ecological requirements of the species and more generally of cetaceans, could be calculated by applying the Potential Biological Removal (PBR) to the best estimate of population abundance and after regional or sub-regional consultation. The parameters of the PBR formula, Recovery factor and Rmax, can be chosen based on the species IUCN conservation status (Lauriano et al., 2023). |
The distribution and abundance data collected over the preceding six years provided only partial coverage of the MRU, consequently precluding the assessment of the parameter. A monitoring survey was conducted in the study area during autumn 2020 (N= 70960;CV=0.12). The data from summer 2018 ACCOBAMS survey over a sligh larger area were utilized for the evaluation (N=44.367). Nevertheless, data were insufficient to determine a threshold value and the lack of consensus among Member States at the sub-regional level and the absence of historical time series. A threshold value for criterion D1C2 could be estimated based on the species' IUCN conservation status and as indicated in the UNEP/MAP document (UNEP/MED WG514/inf.11). Species listed as Least Concern (LC), based on population size are in GES. |
A standardized method for quantifying threshold values for criteria D1C4 and D1C5, which are closely correlated, is currently unavailable. Furthermore, habitats, characterized by biotic and abiotic elements essential for the species' life cycle, are dynamic and subject to changes influenced by fluctuations in abiotic factors.
For the qualitative assessment of the criterion, the distribution parameter was considered using distribution maps obtained from MSFD monitoring activities and research conducted before 2016 during the previous reporting cycle, applying the Habitat Directive's range tool.
In this regard, Directive 2017/848 references the Habitat Directive for range delineation using an algorithm (range tool) (http://discomap.eea.europa.eu/App/RangeTool/) that generates a polygon based on species occurrence data. However, the application of this method yields imprecise results due to its dependence on the extent of surveyed areas, sampling effort, and the arbitrary selection of a threshold distance beyond which species occurrences are excluded from the polygon (gap distance). A range map is provided indicating the habitat of the specie. |
A standardized method for quantifying threshold values for criteria D1C4 and D1C5, which are closely correlated, is currently unavailable. Furthermore, habitats, characterized by biotic and abiotic elements essential for the species' life cycle, are dynamic and subject to changes influenced by fluctuations in abiotic factors. In addition, biotic and abiotic elements might have been negatively influenced by human activities; hence the habitat of a given species might have degraded to the point of not being anymore suitable.
For the qualitative assessment of the criterion, the distribution parameter was considered using distribution maps obtained from MSFD monitoring activities and research conducted before 2016 during the previous reporting cycle, applying the Habitat Directive's range tool.
In this regard, Directive 2017/848 references the Habitat Directive for range delineation using an algorithm (range tool) (http://discomap.eea.europa.eu/App/RangeTool/) that generates a polygon based on species occurrence data. However, the application of this method yields imprecise results due to its dependence on the extent of surveyed areas, sampling effort, and the arbitrary selection of a threshold distance beyond which species occurrences are excluded from the polygon (gap distance). A range map is provided indicating the habitat of the species. |
Similar to the approach for S. coeruleoalba, a threshold value for fishing mortality has not been calculated for the bottlenose dolphin due to a lack of adequate information on bycatch levels within the MRU. A limit reference point for anthropogenic mortality, considering the species' ecological requirements and those of cetaceans in general, can be calculated by applying the Potential Biological Removal (PBR) to the best estimate of population abundance, following regional or sub-regional consultation. The PBR formula parameters, Recovery factor and R max, can be selected based on the IUCN conservation status (Lauriano et al., 2023). |
The distribution and abundance data collected over the preceding six years provided only partial coverage of the MRU, consequently precluding the assessment of the parameter. A monitoring survey conducted in autumn 2020 produced an estimate of 6195 individuals (CV=0.47). The 2018 ACCOBAMS summer monitoring data is considered for the evaluation (N=4.628). The abundance values for the species in the MRU is considered stable between 2018 and 2020 aerial surveys. Neverthelss, it is not possible set a limit reference point for population abundance due to the lack of historical time series for the species within the MRU. Available abundance estimates for the species exhibit high variability, influenced by factors such as study season and the methodology. A threshold value for D1C2 could be estimated based on the species' IUCN conservation status and as indicated in the UNEP/MAP document (UNEP/MED WG514/inf.11). Species listed as Least Concern (LC), based on population size are in GES. |
A standardized method for quantifying threshold values for criteria D1C4 and D1C5, which are closely correlated, is currently unavailable. Furthermore, habitats, characterized by biotic and abiotic elements essential for the species' life cycle, are dynamic and subject to changes influenced by fluctuations in abiotic factors.
For the qualitative assessment of the criterion, the distribution parameter was considered using distribution maps obtained from MSFD monitoring activities and research conducted before 2016 during the previous reporting cycle, applying the Habitat Directive's range tool.
In this regard, Directive 2017/848 references the Habitat Directive for range delineation using an algorithm (range tool) (http://discomap.eea.europa.eu/App/RangeTool/) that generates a polygon based on species occurrence data. However, the application of this method yields imprecise results due to its dependence on the extent of surveyed areas, sampling effort, and the arbitrary selection of a threshold distance beyond which species occurrences are excluded from the polygon (gap distance). |
A standardized method for quantifying threshold values for criteria D1C4 and D1C5, which are closely correlated, is currently unavailable. Furthermore, habitats, characterized by biotic and abiotic elements essential for the species' life cycle, are dynamic and subject to changes influenced by fluctuations in abiotic factors. In addition, biotic and abiotic elements might have been negatively influenced by human activities; hence the habitat of a given species might have degraded to the point of not being anymore suitable.
For the qualitative assessment of the criterion, the distribution parameter was considered using distribution maps obtained from MSFD monitoring activities and research conducted before 2016 during the previous reporting cycle, applying the Habitat Directive's range tool.
In this regard, Directive 2017/848 references the Habitat Directive for range delineation using an algorithm (range tool) (http://discomap.eea.europa.eu/App/RangeTool/) that generates a polygon based on species occurrence data. However, the application of this method yields imprecise results due to its dependence on the extent of surveyed areas, sampling effort, and the arbitrary selection of a threshold distance beyond which species occurrences are excluded from the polygon (gap distance). |
Related indicator |
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Criteria status |
Unknown |
Not good |
Good |
Good |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Good |
Good |
Good |
Unknown |
Good |
Good |
Good |
Description criteria |
The lack of comprehensive information regarding bycatch by fishing gear. Lack of agreed method for calculating TVs |
According to the Barcelona Convention's decision IG.21/3 (2013), a species reaches Good Environmental Status (GES) when its population is classified as Least Concern by the IUCN.
The Mediterranean population of the fin whale was recently change from Vulnerable to Endangered (Panigada et al., 2021) due to a mature adult population size below the 2500 threshold [C2a(ii)]. This assessment is also reflected in the Italian Red List (Rondinini and Battistoni, 2022).
However, considering the IUCN classifications, the Barcelona Convention's criteria, and the need for a coordinated assessment at the Mediterranean level, the D1C2 criterion is assessed negatively. Despite recent abundance estimates, the overall conservation status of the species remains precarious, and further concerted efforts are needed to ensure its recovery. Abundance estimates from the 2020 monitoring show 514 individuals (CV 0.33) in the entire Tyrrhenian Sea and 293 (CV=0.44) in the western part of the Sanctuary. The 2018 summer estimate for the Tyrrhenian Sea is 181 individuals (CV 0.87) and 254 (CV=0.39) for the western sector of the Pelagos Sanctuary. Overall, abundance data do not show significant differences between 2018 and 2020 for the Pelagos Sanctuary which represents a crictical habitat for the species since is a feeding ground. |
The criterion is assessed positively. The species is described as resident in the Mediterranean Basin but nomadic and opportunistic, exploiting areas of high productivity (Notarbartolo di Sciara et al., 2016). Knowledge of movements is limited to a few individuals tracked by satellite telemetry (Panigada et al., 2017), indicating south-north movements from the Strait of Sicily to the Pelagos Sanctuary and adjacent areas of the Gulf of Lion and Balearic Islands in early spring. The Pelagos Sanctuary is the species' summer feeding ground (Zanardelli et al., 2022). Linear movements of individuals can be quantified at around 900 and 500 km. The Habitat Directive's range tool was applied to sightings obtained from MSFD monitoring and ACCOBAMS research activities (Panigada et al., 2024) and compared to previous results. The gap distance chosen for the fin whale is 500 km, aligned with the available movement data |
No methodology has been defined - nor agreed for this criterion. However, the general distribution pattern is in line with the generale known habitat for this species |
The lack of comprehensive information regarding bycatch by fishing gear. Lack of agreed method for calculating TVs |
Elusive species with relative low density, hence insufficient data for this species |
Elusive species with relative low densities.
|
No methodology has been defined - nor agreed for this criterion |
The lack of comprehensive information regarding bycatch by fishing gear. Lack of agreed method for calculating TVs |
Elusive species with relative low density, hence insufficient data for this species |
Elusive species with relative low densities.
|
No methodology has been defined - nor agreed for this criterion |
The lack of comprehensive information regarding bycatch by fishing gear. Lack of agreed method for calculating TVs |
Elusive species with relative low density, hence insufficient data for this species |
Elusive species with relative low densities.
|
No methodology has been defined - nor agreed for this criterion |
The lack of comprehensive information regarding bycatch by fishing gear. Lack of agreed method for calculating TVs |
Elusive species with relative low density, hence insufficient data for this species |
Elusive species with relative low densities.
|
No methodology has been defined - nor agreed for this criterion |
The lack of comprehensive information regarding bycatch by fishing gear. Lack of agreed method for calculating TVs |
The criterion is assessed positively by comparing abundance parameters from 2018 ACCOBAMS and 2020 MSFD surveys with historical aerial surveys. The species' Least Concern status, as supported by regional and national assessments, aligns with the Barcelona Convention's definition of Good Environmental Status (GES). This definition states that a species is considered to be in a favorable conservation status when its abundance levels allow it to be classified as Least Concern by the IUCN |
The criterion is positively assessed based on the species' distribution. The striped dolphin's high density in the western Mediterranean, combined with genetic evidence of population structure, informed the selection of a gap distance for the Habitat Directive's range tool. The application of this tool to recent survey data supports the conclusion that the species is widely distributed. Gap distance di 150 km |
No methodology has been defined - nor agreed for this criterion. However, the general distribution pattern is in line with the generale known habitat for this species |
The lack of comprehensive information regarding bycatch by fishing gear. Lack of agreed method for calculating TVs |
As with S. coeruleoalba, the criterion is positively assessed based on abundance trends. Comparisons of recent ACCOBAMS and MSFD surveys with historical data indicate stable or increasing population numbers. This assessment aligns with the Barcelona Convention's definition of Good Environmental Status and is supported by regional and national conservation assessments |
The criterion is positively assessed. On the basis of the specie distribution, informed the selection of a gap distance for the Habitat Directive's range tool. The application of this tool to recent survey data supports the conclusion that the species is widely distributed on coastal area. Gap distance di 150 km |
No methodology has been defined - nor agreed for this criterion. However, the general distribution pattern is in line with the generale known habitat for this species |
Element status |
Not good |
Not good |
Not good |
Not good |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Not good |
Not good |
Not good |
Not good |
Unknown |
Unknown |
Unknown |
Unknown |
Good |
Good |
Good |
Good |
Good |
Good |
Good |
Good |
Description element |
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Source assessment feature |
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Reporting method feature |
Type D |
Type D |
Type D |
Type D |
Type D |
Type D |
Type D |
Type D |
Type D |
Type D |
Type D |
Type D |
Type D |
Type D |
Type D |
Type D |
Type D |
Type D |
Type D |
Type D |
Type D |
Type D |
Type D |
Type D |
Type D |
Type D |
Type D |
Type D |
Trend feature |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Unknown |
Integration rule type parameter |
Not relevant
|
Not relevant
|
Not relevant
|
Not relevant
|
Not relevant
|
Not relevant
|
Not relevant
|
Not relevant
|
Not relevant
|
Not relevant
|
Not relevant
|
Not relevant
|
Not relevant
|
Not relevant
|
Not relevant
|
Not relevant
|
Not relevant
|
Not relevant
|
Not relevant
|
Not relevant
|
Not relevant
|
Not relevant
|
Not relevant
|
Not relevant
|
Not relevant
|
Not relevant
|
Not relevant
|
Not relevant
|
Integration rule description parameter |
||||||||||||||||||||||||||||
Integration rule type criteria |
2OAO
|
2OAO
|
2OAO
|
2OAO
|
2OAO
|
2OAO
|
2OAO
|
2OAO
|
2OAO
|
2OAO
|
2OAO
|
2OAO
|
2OAO
|
2OAO
|
2OAO
|
2OAO
|
2OAO
|
2OAO
|
2OAO
|
2OAO
|
2OAO
|
2OAO
|
2OAO
|
2OAO
|
2OAO
|
2OAO
|
2OAO
|
2OAO
|
Integration rule description criteria |
For the cetacean component of the assessment, the two-out-of-all-out rule (TOAO) was adopted. This decision was necessitated by the inability to evaluate at least one of the four criteria required to define the GES for the three cetacean groups. Specifically, insufficient data on accidental catches by various fishing gear prevented a comprehensive assessment of criterion D1C1. Applying the one-out-all-out rule to all elements would have inevitably resulted in a negative assessment.
While historical data series are limited, regional, sub-regional, and national abundance data are available to support an evaluation of the species' status. Criterion D1C2 was therefore deemed more critical for the assessment, particularly in light of indication IG.21/3 (2013) of the Barcelona Convention, which directly links the achievement of GES to population abundance. |
For the cetacean component of the assessment, the two-out-of-all-out rule (TOAO) was adopted. This decision was necessitated by the inability to evaluate at least one of the four criteria required to define the GES for the three cetacean groups. Specifically, insufficient data on accidental catches by various fishing gear prevented a comprehensive assessment of criterion D1C1. Applying the one-out-all-out rule to all elements would have inevitably resulted in a negative assessment.
While historical data series are limited, regional, sub-regional, and national abundance data are available to support an evaluation of the species' status. Criterion D1C2 was therefore deemed more critical for the assessment, particularly in light of indication IG.21/3 (2013) of the Barcelona Convention, which directly links the achievement of GES to population abundance. |
For the cetacean component of the assessment, the two-out-of-all-out rule (TOAO) was adopted. This decision was necessitated by the inability to evaluate at least one of the four criteria required to define the GES for the three cetacean groups. Specifically, insufficient data on accidental catches by various fishing gear prevented a comprehensive assessment of criterion D1C1. Applying the one-out-all-out rule to all elements would have inevitably resulted in a negative assessment.
While historical data series are limited, regional, sub-regional, and national abundance data are available to support an evaluation of the species' status. Criterion D1C2 was therefore deemed more critical for the assessment, particularly in light of indication IG.21/3 (2013) of the Barcelona Convention, which directly links the achievement of GES to population abundance. |
For the cetacean component of the assessment, the two-out-of-all-out rule (TOAO) was adopted. This decision was necessitated by the inability to evaluate at least one of the four criteria required to define the GES for the three cetacean groups. Specifically, insufficient data on accidental catches by various fishing gear prevented a comprehensive assessment of criterion D1C1. Applying the one-out-all-out rule to all elements would have inevitably resulted in a negative assessment.
While historical data series are limited, regional, sub-regional, and national abundance data are available to support an evaluation of the species' status. Criterion D1C2 was therefore deemed more critical for the assessment, particularly in light of indication IG.21/3 (2013) of the Barcelona Convention, which directly links the achievement of GES to population abundance. |
For the cetacean component of the assessment, the two-out-of-all-out rule (TOAO) was adopted. This decision was necessitated by the inability to evaluate at least one of the four criteria required to define the GES for the three cetacean groups. Specifically, insufficient data on accidental catches by various fishing gear prevented a comprehensive assessment of criterion D1C1. Applying the one-out-all-out rule to all elements would have inevitably resulted in a negative assessment.
While historical data series are limited, regional, sub-regional, and national abundance data are available to support an evaluation of the species' status. Criterion D1C2 was therefore deemed more critical for the assessment, particularly in light of indication IG.21/3 (2013) of the Barcelona Convention, which directly links the achievement of GES to population abundance. |
For the cetacean component of the assessment, the two-out-of-all-out rule (TOAO) was adopted. This decision was necessitated by the inability to evaluate at least one of the four criteria required to define the GES for the three cetacean groups. Specifically, insufficient data on accidental catches by various fishing gear prevented a comprehensive assessment of criterion D1C1. Applying the one-out-all-out rule to all elements would have inevitably resulted in a negative assessment.
While historical data series are limited, regional, sub-regional, and national abundance data are available to support an evaluation of the species' status. Criterion D1C2 was therefore deemed more critical for the assessment, particularly in light of indication IG.21/3 (2013) of the Barcelona Convention, which directly links the achievement of GES to population abundance. |
For the cetacean component of the assessment, the two-out-of-all-out rule (TOAO) was adopted. This decision was necessitated by the inability to evaluate at least one of the four criteria required to define the GES for the three cetacean groups. Specifically, insufficient data on accidental catches by various fishing gear prevented a comprehensive assessment of criterion D1C1. Applying the one-out-all-out rule to all elements would have inevitably resulted in a negative assessment.
While historical data series are limited, regional, sub-regional, and national abundance data are available to support an evaluation of the species' status. Criterion D1C2 was therefore deemed more critical for the assessment, particularly in light of indication IG.21/3 (2013) of the Barcelona Convention, which directly links the achievement of GES to population abundance. |
For the cetacean component of the assessment, the two-out-of-all-out rule (TOAO) was adopted. This decision was necessitated by the inability to evaluate at least one of the four criteria required to define the GES for the three cetacean groups. Specifically, insufficient data on accidental catches by various fishing gear prevented a comprehensive assessment of criterion D1C1. Applying the one-out-all-out rule to all elements would have inevitably resulted in a negative assessment.
While historical data series are limited, regional, sub-regional, and national abundance data are available to support an evaluation of the species' status. Criterion D1C2 was therefore deemed more critical for the assessment, particularly in light of indication IG.21/3 (2013) of the Barcelona Convention, which directly links the achievement of GES to population abundance. |
For the cetacean component of the assessment, the two-out-of-all-out rule (TOAO) was adopted. This decision was necessitated by the inability to evaluate at least one of the four criteria required to define the GES for the three cetacean groups. Specifically, insufficient data on accidental catches by various fishing gear prevented a comprehensive assessment of criterion D1C1. Applying the one-out-all-out rule to all elements would have inevitably resulted in a negative assessment.
While historical data series are limited, regional, sub-regional, and national abundance data are available to support an evaluation of the species' status. Criterion D1C2 was therefore deemed more critical for the assessment, particularly in light of indication IG.21/3 (2013) of the Barcelona Convention, which directly links the achievement of GES to population abundance. |
For the cetacean component of the assessment, the two-out-of-all-out rule (TOAO) was adopted. This decision was necessitated by the inability to evaluate at least one of the four criteria required to define the GES for the three cetacean groups. Specifically, insufficient data on accidental catches by various fishing gear prevented a comprehensive assessment of criterion D1C1. Applying the one-out-all-out rule to all elements would have inevitably resulted in a negative assessment.
While historical data series are limited, regional, sub-regional, and national abundance data are available to support an evaluation of the species' status. Criterion D1C2 was therefore deemed more critical for the assessment, particularly in light of indication IG.21/3 (2013) of the Barcelona Convention, which directly links the achievement of GES to population abundance. |
For the cetacean component of the assessment, the two-out-of-all-out rule (TOAO) was adopted. This decision was necessitated by the inability to evaluate at least one of the four criteria required to define the GES for the three cetacean groups. Specifically, insufficient data on accidental catches by various fishing gear prevented a comprehensive assessment of criterion D1C1. Applying the one-out-all-out rule to all elements would have inevitably resulted in a negative assessment.
While historical data series are limited, regional, sub-regional, and national abundance data are available to support an evaluation of the species' status. Criterion D1C2 was therefore deemed more critical for the assessment, particularly in light of indication IG.21/3 (2013) of the Barcelona Convention, which directly links the achievement of GES to population abundance. |
For the cetacean component of the assessment, the two-out-of-all-out rule (TOAO) was adopted. This decision was necessitated by the inability to evaluate at least one of the four criteria required to define the GES for the three cetacean groups. Specifically, insufficient data on accidental catches by various fishing gear prevented a comprehensive assessment of criterion D1C1. Applying the one-out-all-out rule to all elements would have inevitably resulted in a negative assessment.
While historical data series are limited, regional, sub-regional, and national abundance data are available to support an evaluation of the species' status. Criterion D1C2 was therefore deemed more critical for the assessment, particularly in light of indication IG.21/3 (2013) of the Barcelona Convention, which directly links the achievement of GES to population abundance. |
For the cetacean component of the assessment, the two-out-of-all-out rule (TOAO) was adopted. This decision was necessitated by the inability to evaluate at least one of the four criteria required to define the GES for the three cetacean groups. Specifically, insufficient data on accidental catches by various fishing gear prevented a comprehensive assessment of criterion D1C1. Applying the one-out-all-out rule to all elements would have inevitably resulted in a negative assessment.
While historical data series are limited, regional, sub-regional, and national abundance data are available to support an evaluation of the species' status. Criterion D1C2 was therefore deemed more critical for the assessment, particularly in light of indication IG.21/3 (2013) of the Barcelona Convention, which directly links the achievement of GES to population abundance. |
For the cetacean component of the assessment, the two-out-of-all-out rule (TOAO) was adopted. This decision was necessitated by the inability to evaluate at least one of the four criteria required to define the GES for the three cetacean groups. Specifically, insufficient data on accidental catches by various fishing gear prevented a comprehensive assessment of criterion D1C1. Applying the one-out-all-out rule to all elements would have inevitably resulted in a negative assessment.
While historical data series are limited, regional, sub-regional, and national abundance data are available to support an evaluation of the species' status. Criterion D1C2 was therefore deemed more critical for the assessment, particularly in light of indication IG.21/3 (2013) of the Barcelona Convention, which directly links the achievement of GES to population abundance. |
For the cetacean component of the assessment, the two-out-of-all-out rule (TOAO) was adopted. This decision was necessitated by the inability to evaluate at least one of the four criteria required to define the GES for the three cetacean groups. Specifically, insufficient data on accidental catches by various fishing gear prevented a comprehensive assessment of criterion D1C1. Applying the one-out-all-out rule to all elements would have inevitably resulted in a negative assessment.
While historical data series are limited, regional, sub-regional, and national abundance data are available to support an evaluation of the species' status. Criterion D1C2 was therefore deemed more critical for the assessment, particularly in light of indication IG.21/3 (2013) of the Barcelona Convention, which directly links the achievement of GES to population abundance. |
For the cetacean component of the assessment, the two-out-of-all-out rule (TOAO) was adopted. This decision was necessitated by the inability to evaluate at least one of the four criteria required to define the GES for the three cetacean groups. Specifically, insufficient data on accidental catches by various fishing gear prevented a comprehensive assessment of criterion D1C1. Applying the one-out-all-out rule to all elements would have inevitably resulted in a negative assessment.
While historical data series are limited, regional, sub-regional, and national abundance data are available to support an evaluation of the species' status. Criterion D1C2 was therefore deemed more critical for the assessment, particularly in light of indication IG.21/3 (2013) of the Barcelona Convention, which directly links the achievement of GES to population abundance. |
For the cetacean component of the assessment, the two-out-of-all-out rule (TOAO) was adopted. This decision was necessitated by the inability to evaluate at least one of the four criteria required to define the GES for the three cetacean groups. Specifically, insufficient data on accidental catches by various fishing gear prevented a comprehensive assessment of criterion D1C1. Applying the one-out-all-out rule to all elements would have inevitably resulted in a negative assessment.
While historical data series are limited, regional, sub-regional, and national abundance data are available to support an evaluation of the species' status. Criterion D1C2 was therefore deemed more critical for the assessment, particularly in light of indication IG.21/3 (2013) of the Barcelona Convention, which directly links the achievement of GES to population abundance. |
For the cetacean component of the assessment, the two-out-of-all-out rule (TOAO) was adopted. This decision was necessitated by the inability to evaluate at least one of the four criteria required to define the GES for the three cetacean groups. Specifically, insufficient data on accidental catches by various fishing gear prevented a comprehensive assessment of criterion D1C1. Applying the one-out-all-out rule to all elements would have inevitably resulted in a negative assessment.
While historical data series are limited, regional, sub-regional, and national abundance data are available to support an evaluation of the species' status. Criterion D1C2 was therefore deemed more critical for the assessment, particularly in light of indication IG.21/3 (2013) of the Barcelona Convention, which directly links the achievement of GES to population abundance. |
For the cetacean component of the assessment, the two-out-of-all-out rule (TOAO) was adopted. This decision was necessitated by the inability to evaluate at least one of the four criteria required to define the GES for the three cetacean groups. Specifically, insufficient data on accidental catches by various fishing gear prevented a comprehensive assessment of criterion D1C1. Applying the one-out-all-out rule to all elements would have inevitably resulted in a negative assessment.
While historical data series are limited, regional, sub-regional, and national abundance data are available to support an evaluation of the species' status. Criterion D1C2 was therefore deemed more critical for the assessment, particularly in light of indication IG.21/3 (2013) of the Barcelona Convention, which directly links the achievement of GES to population abundance. |
For the cetacean component of the assessment, the two-out-of-all-out rule (TOAO) was adopted. This decision was necessitated by the inability to evaluate at least one of the four criteria required to define the GES for the three cetacean groups. Specifically, insufficient data on accidental catches by various fishing gear prevented a comprehensive assessment of criterion D1C1. Applying the one-out-all-out rule to all elements would have inevitably resulted in a negative assessment.
While historical data series are limited, regional, sub-regional, and national abundance data are available to support an evaluation of the species' status. Criterion D1C2 was therefore deemed more critical for the assessment, particularly in light of indication IG.21/3 (2013) of the Barcelona Convention, which directly links the achievement of GES to population abundance. |
For the cetacean component of the assessment, the two-out-of-all-out rule (TOAO) was adopted. This decision was necessitated by the inability to evaluate at least one of the four criteria required to define the GES for the three cetacean groups. Specifically, insufficient data on accidental catches by various fishing gear prevented a comprehensive assessment of criterion D1C1. Applying the one-out-all-out rule to all elements would have inevitably resulted in a negative assessment.
While historical data series are limited, regional, sub-regional, and national abundance data are available to support an evaluation of the species' status. Criterion D1C2 was therefore deemed more critical for the assessment, particularly in light of indication IG.21/3 (2013) of the Barcelona Convention, which directly links the achievement of GES to population abundance. |
For the cetacean component of the assessment, the two-out-of-all-out rule (TOAO) was adopted. This decision was necessitated by the inability to evaluate at least one of the four criteria required to define the GES for the three cetacean groups. Specifically, insufficient data on accidental catches by various fishing gear prevented a comprehensive assessment of criterion D1C1. Applying the one-out-all-out rule to all elements would have inevitably resulted in a negative assessment.
While historical data series are limited, regional, sub-regional, and national abundance data are available to support an evaluation of the species' status. Criterion D1C2 was therefore deemed more critical for the assessment, particularly in light of indication IG.21/3 (2013) of the Barcelona Convention, which directly links the achievement of GES to population abundance. |
For the cetacean component of the assessment, the two-out-of-all-out rule (TOAO) was adopted. This decision was necessitated by the inability to evaluate at least one of the four criteria required to define the GES for the three cetacean groups. Specifically, insufficient data on accidental catches by various fishing gear prevented a comprehensive assessment of criterion D1C1. Applying the one-out-all-out rule to all elements would have inevitably resulted in a negative assessment.
While historical data series are limited, regional, sub-regional, and national abundance data are available to support an evaluation of the species' status. Criterion D1C2 was therefore deemed more critical for the assessment, particularly in light of indication IG.21/3 (2013) of the Barcelona Convention, which directly links the achievement of GES to population abundance. |
For the cetacean component of the assessment, the two-out-of-all-out rule (TOAO) was adopted. This decision was necessitated by the inability to evaluate at least one of the four criteria required to define the GES for the three cetacean groups. Specifically, insufficient data on accidental catches by various fishing gear prevented a comprehensive assessment of criterion D1C1. Applying the one-out-all-out rule to all elements would have inevitably resulted in a negative assessment.
While historical data series are limited, regional, sub-regional, and national abundance data are available to support an evaluation of the species' status. Criterion D1C2 was therefore deemed more critical for the assessment, particularly in light of indication IG.21/3 (2013) of the Barcelona Convention, which directly links the achievement of GES to population abundance. |
For the cetacean component of the assessment, the two-out-of-all-out rule (TOAO) was adopted. This decision was necessitated by the inability to evaluate at least one of the four criteria required to define the GES for the three cetacean groups. Specifically, insufficient data on accidental catches by various fishing gear prevented a comprehensive assessment of criterion D1C1. Applying the one-out-all-out rule to all elements would have inevitably resulted in a negative assessment.
While historical data series are limited, regional, sub-regional, and national abundance data are available to support an evaluation of the species' status. Criterion D1C2 was therefore deemed more critical for the assessment, particularly in light of indication IG.21/3 (2013) of the Barcelona Convention, which directly links the achievement of GES to population abundance. |
For the cetacean component of the assessment, the two-out-of-all-out rule (TOAO) was adopted. This decision was necessitated by the inability to evaluate at least one of the four criteria required to define the GES for the three cetacean groups. Specifically, insufficient data on accidental catches by various fishing gear prevented a comprehensive assessment of criterion D1C1. Applying the one-out-all-out rule to all elements would have inevitably resulted in a negative assessment.
While historical data series are limited, regional, sub-regional, and national abundance data are available to support an evaluation of the species' status. Criterion D1C2 was therefore deemed more critical for the assessment, particularly in light of indication IG.21/3 (2013) of the Barcelona Convention, which directly links the achievement of GES to population abundance. |
For the cetacean component of the assessment, the two-out-of-all-out rule (TOAO) was adopted. This decision was necessitated by the inability to evaluate at least one of the four criteria required to define the GES for the three cetacean groups. Specifically, insufficient data on accidental catches by various fishing gear prevented a comprehensive assessment of criterion D1C1. Applying the one-out-all-out rule to all elements would have inevitably resulted in a negative assessment.
While historical data series are limited, regional, sub-regional, and national abundance data are available to support an evaluation of the species' status. Criterion D1C2 was therefore deemed more critical for the assessment, particularly in light of indication IG.21/3 (2013) of the Barcelona Convention, which directly links the achievement of GES to population abundance. |
For the cetacean component of the assessment, the two-out-of-all-out rule (TOAO) was adopted. This decision was necessitated by the inability to evaluate at least one of the four criteria required to define the GES for the three cetacean groups. Specifically, insufficient data on accidental catches by various fishing gear prevented a comprehensive assessment of criterion D1C1. Applying the one-out-all-out rule to all elements would have inevitably resulted in a negative assessment.
While historical data series are limited, regional, sub-regional, and national abundance data are available to support an evaluation of the species' status. Criterion D1C2 was therefore deemed more critical for the assessment, particularly in light of indication IG.21/3 (2013) of the Barcelona Convention, which directly links the achievement of GES to population abundance. |
GES extent threshold |
1.00 |
1.00 |
1.00 |
1.00 |
||||||||||||||||||||||||
GES extent achieved |
1.00 |
1.00 |
1.00 |
1.00 |
1.00 |
1.00 |
1.00 |
1.00 |
||||||||||||||||||||
GES extent unit |
Proportion of species in good status within species group |
Proportion of species in good status within species group |
Proportion of species in good status within species group |
Proportion of species in good status within species group |
Proportion of species in good status within species group |
Proportion of species in good status within species group |
Proportion of species in good status within species group |
Proportion of species in good status within species group |
Proportion of species in good status within species group |
Proportion of species in good status within species group |
Proportion of species in good status within species group |
Proportion of species in good status within species group |
Proportion of species in good status within species group |
Proportion of species in good status within species group |
Proportion of species in good status within species group |
Proportion of species in good status within species group |
Proportion of species in good status within species group |
Proportion of species in good status within species group |
Proportion of species in good status within species group |
Proportion of species in good status within species group |
Proportion of species in good status within species group |
Proportion of species in good status within species group |
Proportion of species in good status within species group |
Proportion of species in good status within species group |
Proportion of species in good status within species group |
Proportion of species in good status within species group |
Proportion of species in good status within species group |
Proportion of species in good status within species group |
GES achieved |
GES later than 2024, Art14ExceptionNotReported |
GES later than 2024, Art14ExceptionNotReported |
GES later than 2024, Art14ExceptionNotReported |
GES later than 2024, Art14ExceptionNotReported |
GES later than 2024, Art14ExceptionNotReported |
GES later than 2024, Art14ExceptionNotReported |
GES later than 2024, Art14ExceptionNotReported |
GES later than 2024, Art14ExceptionNotReported |
GES later than 2024, Art14ExceptionNotReported |
GES later than 2024, Art14ExceptionNotReported |
GES later than 2024, Art14ExceptionNotReported |
GES later than 2024, Art14ExceptionNotReported |
GES later than 2024, Art14ExceptionNotReported |
GES later than 2024, Art14ExceptionNotReported |
GES later than 2024, Art14ExceptionNotReported |
GES later than 2024, Art14ExceptionNotReported |
GES later than 2024, Art14ExceptionNotReported |
GES later than 2024, Art14ExceptionNotReported |
GES later than 2024, Art14ExceptionNotReported |
GES later than 2024, Art14ExceptionNotReported |
GES achieved by 2024 |
GES achieved by 2024 |
GES achieved by 2024 |
GES achieved by 2024 |
GES achieved by 2024 |
GES achieved by 2024 |
GES achieved by 2024 |
GES achieved by 2024 |
Description overall status |
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Assessments period |
2016-2021 |
2016-2021 |
2016-2021 |
2016-2021 |
2016-2021 |
2016-2021 |
2016-2021 |
2016-2021 |
2016-2021 |
2016-2021 |
2016-2021 |
2016-2021 |
2016-2021 |
2016-2021 |
2016-2021 |
2016-2021 |
2016-2021 |
2016-2021 |
2016-2021 |
2016-2021 |
2016-2021 |
2016-2021 |
2016-2021 |
2016-2021 |
2016-2021 |
2016-2021 |
2016-2021 |
2016-2021 |
Related pressures |
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Related targets |
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Test TV |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
Test results |
Correct |
False |
False |
False |
Correct |
Correct |
Correct |
Correct |
Correct |
Correct |
Correct |
Correct |
Correct |
Correct |
Correct |
Correct |
Correct |
Correct |
Correct |
Correct |
Correct |
False |
False |
False |
Correct |
False |
Correct |
False |