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Coevolution of species colonisation rates controls food-chain length in spatially structured food webs.
Calcagno, Vincent; David, Patrice; Jarne, Philippe; Massol, François.
Afiliação
  • Calcagno V; Institut Sophia Agrobiotech, Université Côte d'Azur - CNRS - INRAE, Sophia Antipolis Cedex, France.
  • David P; CEFE, UMR 5175, CNRS - Université de Montpellier - IRD - EPHE, Montpellier Cedex 5, France.
  • Jarne P; CEFE, UMR 5175, CNRS - Université de Montpellier - IRD - EPHE, Montpellier Cedex 5, France.
  • Massol F; Institut Pasteur de Lille, Univ. Lille, CNRS, Inserm, CHU Lille, U1019 - UMR 9017 - CIIL - Center for Infection and Immunity of Lille, Lille, France.
Ecol Lett ; 26 Suppl 1: S140-S151, 2023 Sep.
Article em En | MEDLINE | ID: mdl-37303299
ABSTRACT
How the complexity of food webs depends on environmental variables is a long-standing ecological question. It is unclear though how food-chain length should vary with adaptive evolution of the constitutive species. Here we model the evolution of species colonisation rates and its consequences on occupancies and food-chain length in metacommunities. When colonisation rates can evolve, longer food-chains can persist. Extinction, perturbation and habitat loss all affect evolutionarily stable colonisation rates, but the strength of the competition-colonisation trade-off has a major role weaker trade-offs yield longer chains. Although such eco-evo dynamics partly alleviates the spatial constraint on food-chain length, it is no magic bullet the highest, most vulnerable, trophic levels are also those that least benefit from evolution. We provide qualitative predictions regarding how trait evolution affects the response of communities to disturbance and habitat loss. This highlights the importance of eco-evolutionary dynamics at metacommunity level in determining food-chain length.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Ano de publicação: 2023 Tipo de documento: Article