{"title":"Toward a predictable cask theory of species extinction assessment in the Anthropocene","authors":"Youhua Chen, Qiang Dai, Jin Zhou, Danni Tang, De‐Zhu Li, Fuwen Wei, Xiangjiang Zhan","doi":"10.1002/fee.2714","DOIUrl":null,"url":null,"abstract":"Predicting species extinction is challenging in the context of climate change. The International Union for Conservation of Nature (IUCN) Red List of Threatened Species assesses species extinction risk by accounting for population size and global range of taxa, but this approach neglects the importance of genetic variability. Here, we propose a life strategy index (LSI) for predicting the extinction risks of species under climate change. The LSI is composed of three fundamental and independent components: namely, evolutionary potential, ecological potential, and colonization potential. The LSI constitutes a so‐called “cask” theory of species extinction, which predicts that extinction likelihood is determined by the relative deficiency of any of the three components. The indicative variables used to construct the proposed LSI make the index applicable to assessments of (and predictions for) the extinction risk of different taxa in the face of climate change, which can inform management and conservation of imperiled species in a more scientific and precise manner.","PeriodicalId":10,"journal":{"name":"ACS Central Science","volume":"65 3","pages":""},"PeriodicalIF":10.4000,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Central Science","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1002/fee.2714","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Predicting species extinction is challenging in the context of climate change. The International Union for Conservation of Nature (IUCN) Red List of Threatened Species assesses species extinction risk by accounting for population size and global range of taxa, but this approach neglects the importance of genetic variability. Here, we propose a life strategy index (LSI) for predicting the extinction risks of species under climate change. The LSI is composed of three fundamental and independent components: namely, evolutionary potential, ecological potential, and colonization potential. The LSI constitutes a so‐called “cask” theory of species extinction, which predicts that extinction likelihood is determined by the relative deficiency of any of the three components. The indicative variables used to construct the proposed LSI make the index applicable to assessments of (and predictions for) the extinction risk of different taxa in the face of climate change, which can inform management and conservation of imperiled species in a more scientific and precise manner.
期刊介绍:
ACS Central Science publishes significant primary reports on research in chemistry and allied fields where chemical approaches are pivotal. As the first fully open-access journal by the American Chemical Society, it covers compelling and important contributions to the broad chemistry and scientific community. "Central science," a term popularized nearly 40 years ago, emphasizes chemistry's central role in connecting physical and life sciences, and fundamental sciences with applied disciplines like medicine and engineering. The journal focuses on exceptional quality articles, addressing advances in fundamental chemistry and interdisciplinary research.