Weak selection can filter environmental noise in the evolution of animal behavior.


Journal

Physical review. E
ISSN: 2470-0053
Titre abrégé: Phys Rev E
Pays: United States
ID NLM: 101676019

Informations de publication

Date de publication:
Nov 2019
Historique:
received: 02 01 2019
entrez: 25 12 2019
pubmed: 25 12 2019
medline: 12 5 2020
Statut: ppublish

Résumé

Weak selection is an important assumption in theoretical evolutionary biology, but its biological significance remains unclear. In this study, we investigate the effect of weak selection on stochastic evolutionary stability in a two-phenotype evolutionary game dynamics with a random payoff matrix assuming an infinite, well-mixed population undergoing discrete, nonoverlapping generations. We show that, under weak selection, both stochastic local stability and stochastic evolutionary stability in this system depend on the means of the random payoffs but not on their variances. Moreover, although stochastic local stability or instability of an equilibrium may not depend on environmental noise if selection is weak enough, the growth rate near an equilibrium not only depends on environmental noise, but can even be enhanced by environmental noise if selection is weak. This is the case, for instance, when the variances of the random payoffs as well as the covariances are equal. These results suggest that natural selection could be able to filter (or resist) the effect of environmental noise on the evolution of animal behavior if selection is weak.

Identifiants

pubmed: 31870005
doi: 10.1103/PhysRevE.100.052411
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

052411

Auteurs

Cong Li (C)

Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
Department of Mathematics and Statistics, University of Montreal, Montreal, Quebec H3C 3J7, Canada.

Xiu-Deng Zheng (XD)

Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.

Tian-Jiao Feng (TJ)

School of Systems Science, Beijing Normal University, Beijing 100875, China.

Ming-Yang Wang (MY)

Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
University of Chinese Academy of Sciences, Beijing 100049, China.

Sabin Lessard (S)

Department of Mathematics and Statistics, University of Montreal, Montreal, Quebec H3C 3J7, Canada.

Yi Tao (Y)

Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
University of Chinese Academy of Sciences, Beijing 100049, China.

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Classifications MeSH