J. Travis, R. Bassar, T. Coulson, D. Reznick, Matthew Walsh
{"title":"Density-Dependent Selection","authors":"J. Travis, R. Bassar, T. Coulson, D. Reznick, Matthew Walsh","doi":"10.1146/annurev-ecolsys-110321-055345","DOIUrl":null,"url":null,"abstract":"Density-dependent selection, which promotes contrasting patterns of trait means at different population densities, has a long history in population genetics and ecology. The unifying principle from theory is that density-dependent selection operates on phenotypic traits whose values counter the effects of whatever ecological agent is limiting population growth, be it resource competition, predators, or pathogens. However, the complexity inherent in density dependence means that the same selective process can generate multiple outcomes, depending upon the details of how population density affects vital rates and the age or size structure of a population. Failure to appreciate the potential for multiple outcomes confounded many early studies of the process. Nonetheless, careful empirical work in laboratory studies, long-term field studies, and studies of sexual selection demonstrates the wide reach of density-dependent selection. The inconsistent outcomes observed in these studies call for renewed research into how the details of density dependence channel adaptive responses. Expected final online publication date for the Annual Review of Ecology, Evolution, and Systematics, Volume 54 is November 2023. 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":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual Review of Ecology, Evolution, and Systematics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1146/annurev-ecolsys-110321-055345","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: 1
Abstract
Density-dependent selection, which promotes contrasting patterns of trait means at different population densities, has a long history in population genetics and ecology. The unifying principle from theory is that density-dependent selection operates on phenotypic traits whose values counter the effects of whatever ecological agent is limiting population growth, be it resource competition, predators, or pathogens. However, the complexity inherent in density dependence means that the same selective process can generate multiple outcomes, depending upon the details of how population density affects vital rates and the age or size structure of a population. Failure to appreciate the potential for multiple outcomes confounded many early studies of the process. Nonetheless, careful empirical work in laboratory studies, long-term field studies, and studies of sexual selection demonstrates the wide reach of density-dependent selection. The inconsistent outcomes observed in these studies call for renewed research into how the details of density dependence channel adaptive responses. Expected final online publication date for the Annual Review of Ecology, Evolution, and Systematics, Volume 54 is November 2023. 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.