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Related Experiment Videos

Evolution of stepping-stone dispersal rates.

S Gandon1, F Roussett

  • 1Laboratoire d'Ecologie, CNRS UMR 7625, Université P et M. Curie, Paris , France. sylvain.gandon@snv.jussieu.fr

Proceedings. Biological Sciences
|February 29, 2000
PubMed
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Dispersal evolution is modeled generally. Evolutionarily stable dispersal rates depend on dispersal cost and population structure, with effects diminishing at higher costs.

Area of Science:

  • Evolutionary Biology
  • Population Genetics
  • Theoretical Ecology

Background:

  • Dispersal is a key factor shaping population structure and genetic diversity.
  • Understanding the evolution of dispersal strategies is crucial for predicting population dynamics and responses to environmental change.
  • Previous models often simplified dispersal patterns, limiting their applicability.

Purpose of the Study:

  • To develop a general model for the evolution of dispersal with any dispersal distance distribution.
  • To analyze evolutionarily stable (ES) dispersal rates in various population structures (island and stepping-stone models).
  • To investigate the influence of dispersal cost, population size, and shape on ES dispersal.

Main Methods:

  • General model of dispersal evolution incorporating any distribution of dispersal distance.

Related Experiment Videos

  • Computation of relatedness coefficients using analytical techniques and the direct fitness method.
  • Analysis of evolutionarily stable strategies in subdivided populations.

    • Main Results:

    • ES dispersal rates are influenced by dispersal distance distribution, particularly at low dispersal costs.
    • Higher ES dispersal rates correlate with increased connectivity (more demes reachable per dispersal event).
    • At high dispersal costs, ES dispersal rates become independent of dispersal distance distribution.
    • Larger and more elongated populations generally promote higher ES dispersal rates, especially at extreme parameter values.

    Conclusions:

    • The distribution of dispersal distance and population structure significantly impact the evolution of dispersal strategies.
    • Dispersal cost is a critical factor determining the sensitivity of ES dispersal rates to dispersal patterns.
    • The direct fitness method offers an efficient analytical framework for studying ES strategies in complex population structures.