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Sex-specific spatio-temporal variability in reproductive success promotes the evolution of sex-biased dispersal

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  • Gros, Andreas
  • Poethke, Hans Joachim
  • Hovestadt, Thomas

Abstract

Inbreeding depression, asymmetries in costs or benefits of dispersal, and the mating system have been identified as potential factors underlying the evolution of sex-biased dispersal. We use individual-based simulations to explore how the mating system and demographic stochasticity influence the evolution of sex-specific dispersal in a metapopulation with females competing over breeding sites, and males over mating opportunities. Comparison of simulation results for random mating with those for a harem system (locally, a single male sires all offspring) reveal that even extreme variance in local male reproductive success (extreme male competition) does not induce male-biased dispersal. The latter evolves if the between-patch variance in reproductive success is larger for males than females. This can emerge due to demographic stochasticity if the habitat patches are small. More generally, members of a group of individuals experiencing higher spatio-temporal variance in fitness expectations may evolve to disperse with greater probability than others.

Suggested Citation

  • Gros, Andreas & Poethke, Hans Joachim & Hovestadt, Thomas, 2009. "Sex-specific spatio-temporal variability in reproductive success promotes the evolution of sex-biased dispersal," Theoretical Population Biology, Elsevier, vol. 76(1), pages 13-18.
    • Handle: RePEc:eee:thpobi:v:76:y:2009:i:1:p:13-18
    DOI: 10.1016/j.tpb.2009.03.002
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    1. Gros, Andreas & Hovestadt, Thomas & Poethke, Hans Joachim, 2008. "Evolution of sex-biased dispersal: The role of sex-specific dispersal costs, demographic stochasticity, and inbreeding," Ecological Modelling, Elsevier, vol. 219(1), pages 226-233.
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    Cited by:

    1. Poethke, Hans Joachim & Kubisch, Alexander & Mitesser, Oliver & Hovestadt, Thomas, 2016. "The evolution of density-dependent dispersal under limited information," Ecological Modelling, Elsevier, vol. 338(C), pages 1-10.

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