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A new demographic function maximized by life-history evolution.

P de Valpine1

  • 1Department of Environmental Science and Policy, Center for Population Biology, University of California, Davis 95616, USA.

Proceedings. Biological Sciences
|March 18, 2000
PubMed
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This study explores life-history theory, linking density-independent population growth rate (lambda) and lifetime reproductive success (R0) to evolutionary strategies. It introduces a new demographic function and demonstrates a spectrum of cases between lambda and R0 optimization.

Area of Science:

  • Evolutionary biology
  • Demography
  • Theoretical ecology

Background:

  • Life-history theory seeks to identify demographic traits maximized by natural selection.
  • Commonly, researchers optimize either population growth rate (lambda) or lifetime reproductive success (R0).
  • Previous work linked lambda and R0 optimization to specific density-dependent conditions.

Purpose of the Study:

  • To extend the connection between density-independent optimization and density-dependent invasion models.
  • To derive a novel demographic function for strategy stability.
  • To explore a continuous range of optimization cases between lambda and R0.

Main Methods:

  • Derivation of a new demographic function based on invasion fitness.
  • Analysis of density-dependent conditions for evolutionary stability.

Related Experiment Videos

  • Graphical and biological interpretation of an example model.

    • Main Results:

    • A new demographic function is derived where maxima indicate equilibrium attainability or mean strategy stability.
    • A continuous range of optimization optima between lambda and R0 is demonstrated.
    • Exceptions to the generality that high early-life mortality selects for high iteroparity are identified.

    Conclusions:

    • The study unifies optimization criteria in life-history theory.
    • It provides a more comprehensive framework for understanding evolutionary strategies under density dependence.
    • Findings challenge existing generalizations regarding mortality and reproductive strategies.