Predicting the conservation status of Europe’s Data Deficient sharks and rays

摘要: ABSTRACT Shark and ray biodiversity is threatened primarily by overfishing the globalisation of trade, Europe has been one most documented heavily fished regions for a relatively long time. Yet, we have little idea conservation status hundreds Data Deficient shark species. It important to derive some insight into these species, both understand global extinction rates also ensure that any species are not overlooked in planning. Here, developed biological ecological trait model predict categorical 26 Northeast Atlantic 15 Mediterranean Sea sharks rays. We first an explanatory based on all evaluated International Union Conservation Nature (IUCN) Red List Threatened SpeciesTM, using maximum body size, median depth (as proxy fisheries exposure), reproductive mode, then predicted Almost half (46%, n=12 26), two-thirds (67%, n=10 15) be three IUCN categories. 1.2 times more than (38%, n=36 94), whereas threat levels relative each (66%, n=38 58). This case study intended extrapolation dataset upon completion assessment. Trait-based, prediction cost-effective approach towards incorporating (i) estimates lineage-wide rates, (ii) revised protected lists, (iii) Indices, thus preventing poorly known from reaching unnoticed.