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Related Experiment Videos

Quantifying and testing coexistence mechanisms arising from recruitment fluctuations.

Peter Chesson1

  • 1Section of Evolution and Ecology, The University of California, Davis, CA 95616-5270, USA. PLChesson@UCDavis.edu

Theoretical Population Biology
|October 3, 2003
PubMed
Summary

Temporal fluctuations in recruitment influence species coexistence through the storage effect and relative nonlinearity of competition. Comparing recruitment variation at different densities can test and measure these stabilizing mechanisms.

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Area of Science:

  • Ecology
  • Population Biology
  • Theoretical Ecology

Background:

  • Species coexistence is crucial for biodiversity and ecosystem stability.
  • Temporal fluctuations in recruitment are known to influence species coexistence.
  • Two key mechanisms, the storage effect and relative nonlinearity of competition, are proposed to stabilize coexistence.

Purpose of the Study:

  • To develop and test methods for assessing the roles of the storage effect and relative nonlinearity of competition in species coexistence.
  • To quantify the stabilizing effects of these coexistence mechanisms.
  • To introduce a new technique for partitioning species' growth rates to understand coexistence dynamics.

Main Methods:

  • Comparing recruitment variation between species at high versus low densities.

Related Experiment Videos

  • Analyzing invader-resident differences in the variances of log recruitment, weighted by survival and competition sensitivity.
  • Partitioning long-term low-density growth rates into community averages and species-specific deviations.

    • Main Results:

    • Comparisons of recruitment variation can effectively test the involvement of the storage effect and relative nonlinearity in stable coexistence.
    • Invader-resident recruitment variance differences, adjusted for survival and competition, are proportional to the stabilizing effect of these mechanisms.
    • A novel method allows partitioning growth rates, revealing community-level stabilizing effects and individual species' contributions.

    Conclusions:

    • The proposed comparisons offer a robust method for testing and measuring the stabilizing effects of key coexistence mechanisms.
    • The partitioning technique provides a new tool for analyzing species coexistence by dissecting growth rate components.
    • Understanding these mechanisms and their contributions is vital for predicting and managing biodiversity.