Literature DB >> 26098343

Optimal forager against ideal free distributed prey.

József Garay1, Ross Cressman, Fei Xu, Zoltan Varga, Tomás Cabello.   

Abstract

The introduced dispersal-foraging game is a combination of prey habitat selection between two patch types and optimal-foraging approaches. Prey's patch preference and forager behavior determine the prey's survival rate. The forager's energy gain depends on local prey density in both types of exhaustible patches and on leaving time. We introduce two game-solution concepts. The static solution combines the ideal free distribution of the prey with optimal-foraging theory. The dynamical solution is given by a game dynamics describing the behavioral changes of prey and forager. We show (1) that each stable equilibrium dynamical solution is always a static solution, but not conversely; (2) that at an equilibrium dynamical solution, the forager can stabilize prey mixed patch use strategy in cases where ideal free distribution theory predicts that prey will use only one patch type; and (3) that when the equilibrium dynamical solution is unstable at fixed prey density, stable behavior cycles occur where neither forager nor prey keep a fixed behavior.

Mesh:

Year:  2015        PMID: 26098343     DOI: 10.1086/681638

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  4 in total

1.  The ESS for evolutionary matrix games under time constraints and its relationship with the asymptotically stable rest point of the replicator dynamics.

Authors:  Tamás Varga; Tamás F Móri; József Garay
Journal:  J Math Biol       Date:  2019-11-18       Impact factor: 2.259

2.  The ESS and replicator equation in matrix games under time constraints.

Authors:  József Garay; Ross Cressman; Tamás F Móri; Tamás Varga
Journal:  J Math Biol       Date:  2018-01-13       Impact factor: 2.259

3.  Opportunistic random searcher versus intentional search image user.

Authors:  József Garay; Zoltán Varga; Tamás F Móri; Inmaculada López; Manuel Gámez; Juan R Gallego; Tomás Cabello
Journal:  Sci Rep       Date:  2018-02-20       Impact factor: 4.379

4.  Best Reply Player Against Mixed Evolutionarily Stable Strategy User.

Authors:  József Garay; Tamás F Móri
Journal:  Bull Math Biol       Date:  2021-12-24       Impact factor: 1.758

  4 in total

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