Inferring the extinction risk of marine fish to inform global conservation priorities

• Published in: PLoS biology Vol. 22; no. 8; p. e3002773
• Main Authors: Loiseau, Nicolas, Mouillot, David, Velez, Laure, Seguin, Raphaël, Casajus, Nicolas, Coux, Camille, Albouy, Camille, Claverie, Thomas, Duhamet, Agnès, Fleure, Valentine, Langlois, Juliette, Villéger, Sébastien, Mouquet, Nicolas
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 29.08.2024; Public Library of Science (PLoS)
• Subjects: Animals; Aquatic Organisms; Biodiversity; Biology and Life Sciences; Computer and Information Sciences; Conservation of Natural Resources - methods; Distribution; Earth Sciences; Ecology and Environmental Sciences; Endangered Species; Environmental aspects; Environmental Sciences; Extinction (Biology); Extinction, Biological; Fishes; Forecasts and trends; Machine Learning; Marine fishes; Methods; Oceans and Seas; Risk Assessment; Wildlife conservation; France

While extinction risk categorization is fundamental for building robust conservation planning for marine fishes, empirical data on occurrence and vulnerability to disturbances are still lacking for most marine teleost fish species, preventing the assessment of their International Union for the Conse...