{"title":"Climate warming and dispersal strategies determine species persistence in a metacommunity","authors":"Arzoo Narang, Partha Sharathi Dutta","doi":"10.1007/s12080-022-00531-3","DOIUrl":null,"url":null,"abstract":"<p>Dispersal is crucial in governing species response toward climate warming. Previous studies suggest that intermediate and density-dependent dispersal enables the functioning of a metacommunity, stabilizing populations at local and regional scales. Here, we consider a spatial ecological model with temperature-dependent traits to elucidate dispersal effects in stabilizing population dynamics under climate warming. Specifically, we analyze the effect of species temperature-dependent life-history traits on a metacommunity dynamics with diverse dispersal strategies (i.e., constant and density-dependent dispersal), tracked along with different dispersal rates of species (relative dispersal). At low and intermediate temperatures, different dispersal strategies synchronize or desynchronize the population dynamics depending upon dispersal rates. However, high temperatures completely synchronize the population trailing constant dispersal, weakening the stabilizing dynamics. Furthermore, density-dependent dispersal strongly affects the stability of metacommunity at high temperatures by increasing or decreasing spatial synchrony depending on dispersal rates. In metacommunities with many patches, conditional upon temperature, species abundance exhibits coexistence of synchronous and asynchronous oscillations, namely the chimera state. Overall, our results show that rising temperature may destabilize the dynamics by synchronizing populations; however, some dispersal mechanisms might impede the adverse outcomes.</p>","PeriodicalId":51198,"journal":{"name":"Theoretical Ecology","volume":"42 1","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2022-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theoretical Ecology","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1007/s12080-022-00531-3","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Dispersal is crucial in governing species response toward climate warming. Previous studies suggest that intermediate and density-dependent dispersal enables the functioning of a metacommunity, stabilizing populations at local and regional scales. Here, we consider a spatial ecological model with temperature-dependent traits to elucidate dispersal effects in stabilizing population dynamics under climate warming. Specifically, we analyze the effect of species temperature-dependent life-history traits on a metacommunity dynamics with diverse dispersal strategies (i.e., constant and density-dependent dispersal), tracked along with different dispersal rates of species (relative dispersal). At low and intermediate temperatures, different dispersal strategies synchronize or desynchronize the population dynamics depending upon dispersal rates. However, high temperatures completely synchronize the population trailing constant dispersal, weakening the stabilizing dynamics. Furthermore, density-dependent dispersal strongly affects the stability of metacommunity at high temperatures by increasing or decreasing spatial synchrony depending on dispersal rates. In metacommunities with many patches, conditional upon temperature, species abundance exhibits coexistence of synchronous and asynchronous oscillations, namely the chimera state. Overall, our results show that rising temperature may destabilize the dynamics by synchronizing populations; however, some dispersal mechanisms might impede the adverse outcomes.
期刊介绍:
Theoretical Ecology publishes innovative research in theoretical ecology, broadly defined. Papers should use theoretical approaches to answer questions of ecological interest and appeal to and be readable by a broad audience of ecologists. Work that uses mathematical, statistical, computational, or conceptual approaches is all welcomed, provided that the goal is to increase ecological understanding. Papers that only use existing approaches to analyze data, or are only mathematical analyses that do not further ecological understanding, are not appropriate. Work that bridges disciplinary boundaries, such as the intersection between quantitative social sciences and ecology, or physical influences on ecological processes, will also be particularly welcome.
All areas of theoretical ecology, including ecophysiology, population ecology, behavioral ecology, evolutionary ecology, ecosystem ecology, community ecology, and ecosystem and landscape ecology are all appropriate. Theoretical papers that focus on applied ecological questions are also of particular interest.