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On the path to extinction.

Peter Jagers1, Fima C Klebaner, Serik Sagitov

  • 1Department of Mathematical Sciences, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden. jagers@chalmers.se

Proceedings of the National Academy of Sciences of the United States of America
|April 5, 2007
PubMed
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This study reveals predictable patterns in population extinction, showing that extinction time scales with the logarithm of population size. Population size during extinction follows a power law, approaching a Gumbel distribution.

Area of Science:

  • Mathematical Biology
  • Population Dynamics
  • Stochastic Processes

Background:

  • Population extinction is a critical phenomenon.
  • Intrinsic extinction occurs when reproduction rates are insufficient for replacement.
  • Subcritical branching processes model populations with expected progeny less than one.

Purpose of the Study:

  • To uncover fundamental patterns in intrinsic population extinction.
  • To mathematically describe the time to extinction (T) and population size at intermediate stages (uT).
  • To analyze the behavior of subcritical populations starting from a large initial size (x).

Main Methods:

  • Analysis of subcritical branching processes.
  • Asymptotic behavior analysis for large initial populations (x).

Related Experiment Videos

  • Application of extreme value distributions and Gumbel distribution.
  • Main Results:

    • Time to extinction (T) scales as log(x)/r, where r is the Malthusian parameter.
    • Population size at time uT scales as x^(u-1) for large x.
    • The population size distribution partway to extinction converges to a process involving constants and a Gumbel random variable.

    Conclusions:

    • Predictable mathematical patterns govern intrinsic population extinction.
    • The study provides a precise description of extinction dynamics over time.
    • Findings are applicable to understanding population decline in various biological systems.