Discrete-time growth-dispersal models

Research output: Contribution to journalArticle

170 Citations (Scopus)

Abstract

Integrodifference equations are discrete-time models that share many of the attributes of scalar reaction-diffusion equations. At the same time, they readily exhibit period doubling and chaos. We examine the properties of some simple integrodifference equations.

Original languageEnglish (US)
Pages (from-to)109-136
Number of pages28
JournalMathematical Biosciences
Volume80
Issue number1
DOIs
StatePublished - 1986

Fingerprint

Integrodifference Equations
Chaos theory
Discrete-time
Discrete-time Model
Period Doubling
Growth
Reaction-diffusion Equations
Chaos
Attribute
Scalar
chaotic dynamics
Model

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Ecology, Evolution, Behavior and Systematics

Cite this

Discrete-time growth-dispersal models. / Kot, Mark; Schaffer, William M.

In: Mathematical Biosciences, Vol. 80, No. 1, 1986, p. 109-136.

Research output: Contribution to journalArticle

Kot, Mark ; Schaffer, William M. / Discrete-time growth-dispersal models. In: Mathematical Biosciences. 1986 ; Vol. 80, No. 1. pp. 109-136.
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