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An uncertain life: demography in random environments.

S Tuljapurkar1

  • 1Biological Sciences, Stanford University, California 94305.

Theoretical Population Biology
|June 1, 1989
PubMed
Summary
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Response.

Science (New York, N.Y.)·1995

This study reviews population dynamics with random vital rates, revealing a statistically stationary equilibrium distinct from classical demography. Life history structures offer insights into natural selection.

Area of Science:

  • Ecology
  • Population Biology
  • Mathematical Biology

Background:

  • Classical demography often assumes fixed vital rates.
  • Understanding populations with random vital rates is crucial for ecological modeling.
  • Stochasticity in vital rates significantly impacts population dynamics.

Purpose of the Study:

  • To review the demography of populations with random vital rates.
  • To highlight techniques for analyzing population dynamics.
  • To summarize applications and identify open problems in stochastic demography.

Main Methods:

  • Review of existing literature on stochastic population models.
  • Analysis of mathematical techniques for population dynamics.
  • Case studies of theoretical applications.

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Main Results:

  • Introduction of a time-varying, statistically stationary equilibrium concept.
  • Demonstration of how random vital rates alter population behavior.
  • Identification of key applications in ecological and evolutionary studies.

Conclusions:

  • Stochastic demography provides a more realistic framework for population analysis.
  • The temporal structure of life histories is a key factor in natural selection.
  • Further research is needed to address open problems in the field.