作者: William W. L. Cheung , Miranda C. Jones , Gabriel Reygondeau , Thomas L. Frölicher
DOI: 10.1111/GCB.14390
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摘要: Risk of impact marine fishes to fishing and climate change (including ocean acidi- fication) depend on the species’ ecological biological characteristics, as well as their exposure over‐exploitation hazards. These human‐induced haz- ards should be considered concurrently in conservation risk assessment. In this study, we aim examine combined contributions fishing to impacts exploited fishes, scope for climate‐risk reduction from fisheries management. We combine fuzzy logic expert system with species dis- tribution modeling assess extinction risks of 825 fish across global ocean. compare our calcu- lated index assessed by International Union Conservation Nature (IUCN). Our results show that 60% (499 species) of are projected experience very high from both over- fishing under a “business‐as‐usual” scenario (RCP 8.5 cur- rent status fisheries) 2050. The is significantly positively related to level IUCN (ordinal logistic regression, p<0.0001). Further- more, regression model predicts would have at least one five (>20%) chance having next few dec- ades (equivalent categories vulnerable, endangered or critically endangered). Areas more at‐risk tropical and subtropical oceans, while those at distributed more broadly, higher concentration North Atlantic South Pacific Ocean. number decrease by 63% sustainable fisheries‐low emission relative “business ‐as‐usual” scenario. This study highlights substantial opportunities climate ‐risk reduction through effective