Literature DB >> 29408219

Public goods games in populations with fluctuating size.

Alex McAvoy1, Nicolas Fraiman2, Christoph Hauert3, John Wakeley4, Martin A Nowak5.   

Abstract

Many mathematical frameworks of evolutionary game dynamics assume that the total population size is constant and that selection affects only the relative frequency of strategies. Here, we consider evolutionary game dynamics in an extended Wright-Fisher process with variable population size. In such a scenario, it is possible that the entire population becomes extinct. Survival of the population may depend on which strategy prevails in the game dynamics. Studying cooperative dilemmas, it is a natural feature of such a model that cooperators enable survival, while defectors drive extinction. Although defectors are favored for any mixed population, random drift could lead to their elimination and the resulting pure-cooperator population could survive. On the other hand, if the defectors remain, then the population will quickly go extinct because the frequency of cooperators steadily declines and defectors alone cannot survive. In a mutation-selection model, we find that (i) a steady supply of cooperators can enable long-term population survival, provided selection is sufficiently strong, and (ii) selection can increase the abundance of cooperators but reduce their relative frequency. Thus, evolutionary game dynamics in populations with variable size generate a multifaceted notion of what constitutes a trait's long-term success.
Copyright © 2018 Elsevier Inc. All rights reserved.

Keywords:  Branching process; Cooperation; Public goods game; Wright–Fisher process

Mesh:

Year:  2018        PMID: 29408219     DOI: 10.1016/j.tpb.2018.01.004

Source DB:  PubMed          Journal:  Theor Popul Biol        ISSN: 0040-5809            Impact factor:   1.570


  5 in total

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Journal:  Nat Commun       Date:  2020-05-04       Impact factor: 14.919

5.  Selfish risk-seeking can provide an evolutionary advantage in a conditional public goods game.

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Journal:  PLoS One       Date:  2022-01-21       Impact factor: 3.240

  5 in total

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