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Robustness versus productivity during evolutionary community assembly: short-term synergies and long-term trade-offs.
Lepori, Vasco J; Loeuille, Nicolas; Rohr, Rudolf P.
Afiliación
  • Lepori VJ; Department of Biology - Ecology and Evolution, University of Fribourg, Chemin du Musée 10, 1700 Fribourg, Switzerland.
  • Loeuille N; Institute of Ecology and Environmental Sciences, IEES, Sorbonne Université, UPEC, CNRS, IRD, INRA, 75005 Paris, France.
  • Rohr RP; Department of Biology - Ecology and Evolution, University of Fribourg, Chemin du Musée 10, 1700 Fribourg, Switzerland.
Proc Biol Sci ; 291(2014): 20232495, 2024 Jan 10.
Article en En | MEDLINE | ID: mdl-38196359
ABSTRACT
The realization that evolutionary feedbacks need to be considered to fully grasp ecological dynamics has sparked interest in the effect of evolution on community properties like coexistence and productivity. However, little is known about the evolution of community robustness and productivity along diversification processes in species-rich systems. We leverage the recent structural approach to coexistence together with adaptive dynamics to study such properties and their relationships in a general trait-based model of competition on a niche axis. We show that the effects of coevolution on coexistence are two-fold and contrasting depending on the time scale considered. In the short term, evolution of niche differentiation strengthens coexistence, while long-term diversification leads to niche packing and decreased robustness. Moreover, we find that coevolved communities tend to be on average more robust and more productive than non-evolutionary assemblages. We illustrate how our theoretical predictions echo in observed empirical patterns and the implications of our results for empiricists and applied ecologists. We suggest that some of our results such as the improved robustness of Evolutionarily Stable Communities could be tested experimentally in suitable model systems.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Fenotipo / Evolución Biológica Tipo de estudio: Prognostic_studies Idioma: En Revista: Proc Biol Sci Asunto de la revista: BIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Suiza

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Fenotipo / Evolución Biológica Tipo de estudio: Prognostic_studies Idioma: En Revista: Proc Biol Sci Asunto de la revista: BIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Suiza