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Experimental Support of the Scaling Rule for Demographic Stochasticity

  • Robert A. Desharnais
  • , R. F. Costantino
  • , J. M. Cushing
  • , Shandelle M Henson
  • , Brian Dennis
  • , Aaron A. King
  • California State University, Los Angeles
  • The University of Arizona
  • University of Idaho
  • University of Michigan, Ann Arbor

Research output: Contribution to journalArticlepeer-review

Abstract

A scaling rule of ecological theory, accepted but lacking experimental confirmation, is that the magnitude of fluctuations in population densities due to demographic stochasticity scales inversely with the square root of population numbers. This supposition is based on analyses of models exhibiting exponential growth or stable equilibria. Using two quantitative measures, we extend the scaling rule to situations in which population densities fluctuate due to nonlinear deterministic dynamics. These measures are applied to populations of the flour beetle Tribolium castaneum that display chaotic dynamics in both 20-g and 60-g habitats. Populations cultured in the larger habitat exhibit a clarification of the deterministic dynamics, which follows the inverse square root rule. Lattice effects, a deterministic phenomenon caused by the discrete nature of individuals, can cause deviations from the scaling rule when population numbers are small. The scaling rule is robust to the probability distribution used to model demographic variation among individuals.
Original languageAmerican English
Pages (from-to)537-547
JournalEcology Letters
Volume9
Issue number5
DOIs
StatePublished - May 1 2006

Keywords

  • Chaos
  • Demographic stochasticity
  • Flour beetles
  • Habitat size
  • Nonlinear population dynamics
  • Scaling rule
  • Tribolium

Disciplines

  • Entomology

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