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Related Experiment Video

Updated: May 19, 2026

A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing
11:36

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Published on: July 3, 2016

The ideal free distribution as an evolutionarily stable strategy.

Robert Stephen Cantrell1, Chris Cosner, Donald L DeAngelis

  • 1Department of Mathematics, University of Miami, Coral Gables, FL33124, USA. rsc@math.miami.edu

Journal of Biological Dynamics
|August 11, 2012
PubMed
Summary

Evolutionarily stable strategies for dispersal and state-switching favor ideal free distributions. Only these strategies, where all individuals have equal fitness, are stable in heterogeneous environments.

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Area of Science:

  • Evolutionary biology
  • Population dynamics
  • Theoretical ecology

Background:

  • Studies suggest selection against random dispersal in heterogeneous environments.
  • Conditional dispersal strategies, influenced by environmental factors, may be favored.
  • Balanced dispersal, leading to equal equilibrium densities, has shown evolutionary stability.

Purpose of the Study:

  • To examine the evolutionary stability of dispersal and state-switching strategies.
  • To determine conditions under which ideal free strategies are evolutionarily stable.
  • To unify and extend previous theoretical results on dispersal evolution.

Main Methods:

  • Analysis of population dynamics and species interactions in continuous and discrete time models.
  • Invasibility analysis using ordinary differential equations.
  • Application of nonnegative matrix theory.

Main Results:

  • Ideal free strategies are evolutionarily stable under general assumptions for population dynamics and species interactions.
  • Balanced dispersal, resulting in ideal free distributions, is shown to be evolutionarily stable.
  • Conditional dispersal strategies are favored over unconditional dispersal in heterogeneous environments.

Conclusions:

  • Only ideal free strategies, characterized by equal individual fitness, can be evolutionarily stable for dispersal and state-switching.
  • The findings provide a unified theoretical framework for understanding the evolution of dispersal and state-switching.
  • The study highlights the importance of environmental heterogeneity in shaping evolutionary strategies.