Literature DB >> 28563763

COEVOLUTION AS AN EVOLUTIONARY GAME.

Joel S Brown1, Thomas L Vincent2.   

Abstract

Coevolution is modeled as a continuous game where the fitness-maximizing strategy of an individual is assumed to be a function of the strategy of other individuals who are also under selection to maximize fitness. An evolutionary stable strategy (ESS) is sought such that no rare alternative strategies can invade the community. The approach can be used to model coevolution because the ESS may be composed of a coalition of more than one strategy. This work, by modeling frequency-dependent selection, extends the approach of Roughgarden (1976) which only considered density-dependent selection. In particular, we show that the coevolutionary model of Rummel and Roughgarden (1985) does contain frequency-dependent selection, and thus, their application of Roughgarden's criterion for evolutionary stability to a model for which it is not applicable leads to the erroneous conclusion that the ecological and evolutionary processes are in conflict. The utility of the game theoretic approach is illustrated by two examples. The first considers an ESS composed of a single strategy, the second an ESS composed of a coalition of two strategies. Evolution occurs on a frequency-dependent adaptive landscape. For this reason, the approach is appropriate for modeling competitive speciation (Rosenzweig, 1978). Also, the game theoretic approach is designed to combine the interplay between the background environment (including the biotic components) and the evolutionary potential of the populations or organisms. The actual application of this theory will require knowledge of both. © 1987 The Society for the Study of Evolution.

Entities:  

Year:  1987        PMID: 28563763     DOI: 10.1111/j.1558-5646.1987.tb05771.x

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  7 in total

1.  Contrasting size evolution in marine and freshwater diatoms.

Authors:  E Litchman; C A Klausmeier; K Yoshiyama
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-06       Impact factor: 11.205

2.  The three C's - competition, coexistence and coevolution - and their impact on the breeding of forage crop mixtures.

Authors:  J Hill
Journal:  Theor Appl Genet       Date:  1990-02       Impact factor: 5.699

3.  The dynamical theory of coevolution: a derivation from stochastic ecological processes.

Authors:  U Dieckmann; R Law
Journal:  J Math Biol       Date:  1996       Impact factor: 2.259

4.  Evolutionary dynamics of predator-prey systems: an ecological perspective.

Authors:  P Marrow; U Dieckmann; R Law
Journal:  J Math Biol       Date:  1996       Impact factor: 2.259

5.  Lotka-Volterra approximations for evolutionary trait-substitution processes.

Authors:  Hiroshi C Ito; Ulf Dieckmann; Johan A J Metz
Journal:  J Math Biol       Date:  2020-05-21       Impact factor: 2.259

6.  Contrasting effects of rising temperatures on trophic interactions in marine ecosystems.

Authors:  Joël M Durant; Juan-Carlos Molinero; Geir Ottersen; Gabriel Reygondeau; Leif Christian Stige; Øystein Langangen
Journal:  Sci Rep       Date:  2019-10-23       Impact factor: 4.379

7.  Evolutionarily stable strategies in stable and periodically fluctuating populations: The Rosenzweig-MacArthur predator-prey model.

Authors:  Katrin Grunert; Helge Holden; Espen R Jakobsen; Nils Chr Stenseth
Journal:  Proc Natl Acad Sci U S A       Date:  2021-01-26       Impact factor: 12.779

  7 in total

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