Experimental evolution of dispersal: Unifying theory, experiments and natural systems
Autor: | Nicky Lustenhouwer, Felix Moerman, Florian Altermatt, Ronald D. Bassar, Greta Bocedi, Dries Bonte, Sutirth Dey, Emanuel A. Fronhofer, Érika Garcez da Rocha, Andrea Giometto, Lesley T. Lancaster, Robert B. Prather, Marjo Saastamoinen, Justin M. J. Travis, Carla A. Urquhart, Christopher Weiss‐Lehman, Jennifer L. Williams, Luca Börger, David Berger |
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Přispěvatelé: | Institut des Sciences de l'Evolution de Montpellier (UMR ISEM), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Institut de recherche pour le développement [IRD] : UR226-Centre National de la Recherche Scientifique (CNRS) |
Rok vydání: | 2023 |
Předmět: | |
Zdroj: | Journal of Animal Ecology Journal of Animal Ecology, 2023, 92 (6), pp.1113-1123. ⟨10.1111/1365-2656.13930⟩ |
ISSN: | 1365-2656 0021-8790 |
Popis: | 1. Dispersal is a central life history trait that affects the ecological and evolutionary dynamics of populations and communities. The recent use of experimental evolution for the study of dispersal is a promising avenue for demonstrating valuable proofs of concept, bringing insight into alternative dispersal strategies and tradeoffs, and testing the repeatability of evolutionary outcomes. 2. Practical constraints restrict experimental evolution studies of dispersal to a set of typically small, short-lived organisms reared in artificial laboratory conditions. Here, we argue that despite these restrictions, inferences from these studies can reinforce links between theoretical predictions and empirical observations and advance our understanding of the eco-evolutionary consequences of dispersal. 3. We illustrate how applying an integrative framework of theory, experimental evolution and natural systems can improve our understanding of dispersal evolution under more complex and realistic biological scenarios, such as the role of biotic interactions and complex dispersal syndromes. |
Databáze: | OpenAIRE |
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