{"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":"<p>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.</p>","PeriodicalId":171,"journal":{"name":"Frontiers in Ecology and the Environment","volume":"22 3","pages":""},"PeriodicalIF":10.0000,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Ecology and the Environment","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/fee.2714","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","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:
Frontiers in Ecology and the Environment is a publication by the Ecological Society of America that focuses on the significance of ecology and environmental science in various aspects of research and problem-solving. The journal covers topics such as biodiversity conservation, ecosystem preservation, natural resource management, public policy, and other related areas.
The publication features a range of content, including peer-reviewed articles, editorials, commentaries, letters, and occasional special issues and topical series. It releases ten issues per year, excluding January and July. ESA members receive both print and electronic copies of the journal, while institutional subscriptions are also available.
Frontiers in Ecology and the Environment is highly regarded in the field, as indicated by its ranking in the 2021 Journal Citation Reports by Clarivate Analytics. The journal is ranked 4th out of 174 in ecology journals and 11th out of 279 in environmental sciences journals. Its impact factor for 2021 is reported as 13.789, which further demonstrates its influence and importance in the scientific community.