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
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
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
Threshold value lower
Threshold value operator
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
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
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
  • MWE-IT-MS-WMS-D1M-D1R-MR
  • MWE-IT-MS-WMS-D1M-D1R-MR
  • MWE-IT-MS-WMS-D1M-D1R-MR
  • MWE-IT-MS-WMS-D1M-D1R-MR
  • MWE-IT-MS-WMS-D1M-D1R-MR
  • MWE-IT-MS-WMS-D1M-D1R-MR
  • MWE-IT-MS-WMS-D1M-D1R-MR
  • MWE-IT-MS-WMS-D1M-D1R-MR
  • MWE-IT-MS-WMS-D1M-D1R-MR
  • MWE-IT-MS-WMS-D1M-D1R-MR
  • MWE-IT-MS-WMS-D1M-D1R-MR
  • MWE-IT-MS-WMS-D1M-D1R-MR
  • MWE-IT-MS-WMS-D1M-D1R-MR
  • MWE-IT-MS-WMS-D1M-D1R-MR
  • MWE-IT-MS-WMS-D1M-D1R-MR
  • MWE-IT-MS-WMS-D1M-D1R-MR
  • MWE-IT-MS-WMS-D1M-D1R-MR
  • MWE-IT-MS-WMS-D1M-D1R-MR
  • MWE-IT-MS-WMS-D1M-D1R-MR
  • MWE-IT-MS-WMS-D1M-D1R-MR
  • MWE-IT-MS-WMS-D1M-D1R-MR
  • MWE-IT-MS-WMS-D1M-D1R-MR
  • MWE-IT-MS-WMS-D1M-D1R-MR
  • MWE-IT-MS-WMS-D1M-D1R-MR
  • MWE-IT-MS-WMS-D1M-D1R-MR
  • MWE-IT-MS-WMS-D1M-D1R-MR
  • MWE-IT-MS-WMS-D1M-D1R-MR
  • MWE-IT-MS-WMS-D1M-D1R-MR
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
Source assessment feature
  • 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
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
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
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of organic matter - diffuse sources and point sources
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of organic matter - diffuse sources and point sources
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of organic matter - diffuse sources and point sources
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of organic matter - diffuse sources and point sources
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of anthropogenic sound (impulsive, continuous)
  • Input of litter (solid waste matter, including micro-sized litter)
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of anthropogenic sound (impulsive, continuous)
  • Input of litter (solid waste matter, including micro-sized litter)
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of anthropogenic sound (impulsive, continuous)
  • Input of litter (solid waste matter, including micro-sized litter)
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of anthropogenic sound (impulsive, continuous)
  • Input of litter (solid waste matter, including micro-sized litter)
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of anthropogenic sound (impulsive, continuous)
  • Input of litter (solid waste matter, including micro-sized litter)
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of anthropogenic sound (impulsive, continuous)
  • Input of litter (solid waste matter, including micro-sized litter)
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of anthropogenic sound (impulsive, continuous)
  • Input of litter (solid waste matter, including micro-sized litter)
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of anthropogenic sound (impulsive, continuous)
  • Input of litter (solid waste matter, including micro-sized litter)
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of anthropogenic sound (impulsive, continuous)
  • Input of litter (solid waste matter, including micro-sized litter)
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of anthropogenic sound (impulsive, continuous)
  • Input of litter (solid waste matter, including micro-sized litter)
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of anthropogenic sound (impulsive, continuous)
  • Input of litter (solid waste matter, including micro-sized litter)
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of anthropogenic sound (impulsive, continuous)
  • Input of litter (solid waste matter, including micro-sized litter)
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of anthropogenic sound (impulsive, continuous)
  • Input of litter (solid waste matter, including micro-sized litter)
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of anthropogenic sound (impulsive, continuous)
  • Input of litter (solid waste matter, including micro-sized litter)
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of anthropogenic sound (impulsive, continuous)
  • Input of litter (solid waste matter, including micro-sized litter)
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Input of anthropogenic sound (impulsive, continuous)
  • Input of litter (solid waste matter, including micro-sized litter)
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of organic matter - diffuse sources and point sources
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of organic matter - diffuse sources and point sources
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of organic matter - diffuse sources and point sources
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of organic matter - diffuse sources and point sources
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of organic matter - diffuse sources and point sources
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of organic matter - diffuse sources and point sources
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of organic matter - diffuse sources and point sources
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of organic matter - diffuse sources and point sources
Related targets
  • MWE-IT-D01-T002
  • MWE-IT-D01-T002
  • MWE-IT-D01-T002
  • MWE-IT-D01-T002
  • MWE-IT-D01-T002
  • MWE-IT-D01-T002
  • MWE-IT-D01-T002
  • MWE-IT-D01-T002
  • MWE-IT-D01-T002
  • MWE-IT-D01-T002
  • MWE-IT-D01-T002
  • MWE-IT-D01-T002
  • MWE-IT-D01-T002
  • MWE-IT-D01-T002
  • MWE-IT-D01-T002
  • MWE-IT-D01-T002
  • MWE-IT-D01-T002
  • MWE-IT-D01-T002
  • MWE-IT-D01-T002
  • MWE-IT-D01-T002
  • MWE-IT-D01-T002
  • MWE-IT-D01-T002
  • MWE-IT-D01-T002
  • MWE-IT-D01-T002
  • MWE-IT-D01-T002
  • MWE-IT-D01-T002
  • MWE-IT-D01-T002
  • MWE-IT-D01-T002
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