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Related Experiment Videos

Migration in variable environments: exploring life-history evolution using structured population models

P Wiener1, S Tuljapurkar

  • 1Department of Biological Sciences, Stanford University, CA 94305-5020.

Journal of Theoretical Biology
|January 7, 1994
PubMed
Summary

Environmental variability favors migration evolution. Increased migration is advantageous, especially with negative spatial correlation and more than two sites, but developmental delays can reduce this benefit.

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Area of Science:

  • Evolutionary Biology
  • Ecology
  • Population Genetics

Background:

  • Environmental variability is a key factor influencing evolutionary processes.
  • Migration plays a crucial role in population dynamics and adaptation.
  • Understanding the interplay between environmental change and migration is vital.

Purpose of the Study:

  • To investigate the hypothesis that environmental variability drives the evolution of migration.
  • To determine the conditions under which increased migration rates are favored.
  • To explore the impact of population structure and developmental delays on migration evolution.

Main Methods:

  • Utilizing the single-locus invasion condition for a novel allele in a variable environment.
  • Developing a theoretical model to analyze migration rates between populations.

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  • Extending the model to incorporate developmental delays like seed dormancy or diapause.
  • Main Results:

    • A strong advantage for migrants exists when entering a non-migrating population.
    • Little advantage is observed for migrants entering populations with differing resident migration rates.
    • A range of favored migration rates exists, rather than a single optimum.
    • Negative spatial correlation and multi-site population structures enhance the benefits of migration.
    • Higher levels of developmental delay decrease the advantage conferred by migration.

    Conclusions:

    • Environmental variability can indeed favor the evolution of migration.
    • Migration dynamics are sensitive to existing resident migration rates and population structure.
    • Developmental delays can counteract the adaptive benefits of migration in variable environments.