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Diffusion-driven period-doubling bifurcations.

M Kot1

  • 1Department of Mathematics, University of Tennessee, Knoxville 37996-1300.

Bio Systems
|January 1, 1989
PubMed
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Discrete-time models show diffusive instability, similar to continuous models. Predator overdispersal in eruptive prey systems can cause unique diffusion-driven period-doubling bifurcations, a novel instability in predator-prey dynamics.

Area of Science:

  • Ecology
  • Mathematical Biology
  • Population Dynamics

Background:

  • Discrete-time models are prone to diffusive instability.
  • This instability often mirrors phenomena in continuous-time reaction-diffusion systems.
  • Predator-prey interactions introduce unique complexities not always captured by simpler models.

Purpose of the Study:

  • To investigate novel forms of diffusive instability in discrete-time predator-prey models.
  • To explore the impact of predator overdispersal on population dynamics.
  • To identify conditions leading to diffusion-driven bifurcations in ecological models.

Main Methods:

  • Analysis of discrete-time population growth-dispersal models.
  • Mathematical modeling of predator-prey interactions with overdispersal.

Related Experiment Videos

  • Investigation of bifurcations arising from spatial dynamics.
  • Main Results:

    • Discrete-time models commonly exhibit diffusive instability.
    • Predator overdispersal, particularly with eruptive prey, can induce period-doubling bifurcations.
    • This represents a distinct type of diffusion-driven instability in predator-prey systems.

    Conclusions:

    • Predator overdispersal is a critical factor generating novel instabilities in discrete ecological models.
    • The findings expand our understanding of spatial dynamics and pattern formation in predator-prey systems.
    • Discrete-time models offer a valuable framework for exploring complex ecological phenomena.