{"title":"Why Are Species’ Traits Weak Predictors of Range Shifts?","authors":"S. Beissinger, E. Riddell","doi":"10.1146/annurev-ecolsys-012021-092849","DOIUrl":null,"url":null,"abstract":"We examine the evidence linking species’ traits to contemporary range shifts and find they are poor predictors of range shifts that have occurred over decades to a century. We then discuss reasons for the poor performance of traits for describing interspecific variation in range shifts from two perspectives: ( a) factors associated with species’ traits that degrade range-shift signals stemming from the measures used for species’ traits, traits that are typically not analyzed, and the influence of phylogeny on range-shift potential and ( b) issues in quantifying range shifts and relating them to species’ traits due to imperfect detection of species, differences in the responses of altitudinal and latitudinal ranges, and emphasis on testing linear relationships between traits and range shifts instead of nonlinear responses. Improving trait-based approaches requires a recognition that traits within individuals interact in unexpected ways and that different combinations of traits may be functionally equivalent. Expected final online publication date for the Annual Review of Ecology, Evolution, and Systematics, Volume 52 is November 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.","PeriodicalId":7988,"journal":{"name":"Annual Review of Ecology, Evolution, and Systematics","volume":null,"pages":null},"PeriodicalIF":11.2000,"publicationDate":"2021-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"29","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual Review of Ecology, Evolution, and Systematics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1146/annurev-ecolsys-012021-092849","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 29
Abstract
We examine the evidence linking species’ traits to contemporary range shifts and find they are poor predictors of range shifts that have occurred over decades to a century. We then discuss reasons for the poor performance of traits for describing interspecific variation in range shifts from two perspectives: ( a) factors associated with species’ traits that degrade range-shift signals stemming from the measures used for species’ traits, traits that are typically not analyzed, and the influence of phylogeny on range-shift potential and ( b) issues in quantifying range shifts and relating them to species’ traits due to imperfect detection of species, differences in the responses of altitudinal and latitudinal ranges, and emphasis on testing linear relationships between traits and range shifts instead of nonlinear responses. Improving trait-based approaches requires a recognition that traits within individuals interact in unexpected ways and that different combinations of traits may be functionally equivalent. Expected final online publication date for the Annual Review of Ecology, Evolution, and Systematics, Volume 52 is November 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
期刊介绍:
The Annual Review of Ecology, Evolution, and Systematics is a scholarly publication that has been in circulation since 1970. It focuses on important advancements in the areas of ecology, evolutionary biology, and systematics, with relevance to all forms of life on Earth. The journal features essay reviews that encompass various topics such as phylogeny, speciation, molecular evolution, behavior, evolutionary physiology, population dynamics, ecosystem processes, and applications in invasion biology, conservation, and environmental management. Recently, the current volume of the journal transitioned from a subscription-based model to open access through the Annual Reviews' Subscribe to Open program. Consequently, all articles published in the current volume are now available under a CC BY license.