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Predictive habitat suitability models to aid conservation of elasmobranch diversity in the central Mediterranean Sea

Articolo
Data di Pubblicazione:
2015
Abstract:
Commercial fisheries have dramatically impacted elasmobranch populations worldwide. With high capture and bycatch rates, the abundance of many species is rapidly declining and around a quarter of the world's sharks and rays are threatened with extinction. At a regional scale this negative trend has also been evidenced in the central Mediterranean Sea, where bottom-trawl fisheries have affected the biomass of certain rays (e.g. Raja clavata) and sharks (e.g. Mustelus spp.). Detailed knowledge of elasmobranch habitat requirements is essential for biodiversity conservation and fisheries management, but this is often hampered by a poor understanding of their spatial ecology. Habitat suitability models were used to investigate the habitat preference of nine elasmobranch species and their overall diversity (number of species) in relation to five environmental predictors (i.e. depth, sea surface temperature, surface salinity, slope and rugosity) in the central Mediterranean Sea. Results showed that depth, seafloor morphology and sea surface temperature were the main drivers for elasmobranch habitat suitability. Predictive distribution maps revealed different species-specific patterns of suitable habitat while high assemblage diversity was predicted in deeper offshore waters (400-800 m depth). This study helps to identify priority conservation areas and diversity hotspots for rare and endangered elasmobranchs in the Mediterranean Sea.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
demersal species; bottom trawl fisheries; sensitive habitats
Elenco autori:
Garofalo, Germana; Gristina, Michele; Fiorentino, Fabio
Autori di Ateneo:
FIORENTINO FABIO
GAROFALO GERMANA
GRISTINA MICHELE
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/306496
Pubblicato in:
SCIENTIFIC REPORTS
Journal
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URL

http://www.nature.com/articles/srep13245#author-information
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