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Dispersal network heterogeneity promotes species coexistence in hierarchical competitive communities.
Zhang, Helin; Bearup, Daniel; Nijs, Ivan; Wang, Shaopeng; Barabás, György; Tao, Yi; Liao, Jinbao.
Afiliación
  • Zhang H; Ministry of Education's Key Laboratory of Poyang Lake Wetland and Watershed Research, School of Geography and Environment, Jiangxi Normal University, Nanchang, China.
  • Bearup D; School of Mathematics, Statistics and Actuarial Sciences, University of Kent, Canterbury, UK.
  • Nijs I; Research Group Plants and Ecosystems, Department of Biology, University of Antwerp, Wilrijk, Belgium.
  • Wang S; Key Laboratory for Earth Surface Processes of the Ministry of Education, Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, China.
  • Barabás G; Division of Theoretical Biology, Department IFM, Linköping University, Linköping, Sweden.
  • Tao Y; MTA-ELTE Theoretical Biology and Evolutionary Ecology Research Group, Budapest, Hungary.
  • Liao J; Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
Ecol Lett ; 24(1): 50-59, 2021 Jan.
Article en En | MEDLINE | ID: mdl-33029856
ABSTRACT
Understanding the mechanisms of biodiversity maintenance is a fundamental issue in ecology. The possibility that species disperse within the landscape along differing paths presents a relatively unexplored mechanism by which diversity could emerge. By embedding a classical metapopulation model within a network framework, we explore how access to different dispersal networks can promote species coexistence. While it is clear that species with the same demography cannot coexist stably on shared dispersal networks, we find that coexistence is possible on unshared networks, as species can surprisingly form self-organised clusters of occupied patches with the most connected patches at the core. Furthermore, a unimodal biodiversity response to an increase in species colonisation rates or average patch connectivity emerges in unshared networks. Increasing network size also increases species richness monotonically, producing characteristic species-area curves. This suggests that, in contrast to previous predictions, many more species can co-occur than the number of limiting resources.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Ecosistema / Modelos Biológicos Tipo de estudio: Prognostic_studies Idioma: En Revista: Ecol Lett Año: 2021 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Ecosistema / Modelos Biológicos Tipo de estudio: Prognostic_studies Idioma: En Revista: Ecol Lett Año: 2021 Tipo del documento: Article País de afiliación: China