Controlling chaos in ecology: From deterministic to individual-based models
Authored by Marta Ginovart, D Lopez, RV Sole, JGP Gamarra
Date Published: 1999
DOI: 10.1006/bulm.1999.0141
Sponsors:
DGYCIT
Platforms:
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Model Documentation:
Other Narrative
Mathematical description
Model Code URLs:
Model code not found
Abstract
The possibility of chaos control in biological systems has been
stimulated by recent advances in the study of heart and brain tissue
dynamics. More recently, some authors have conjectured that such a
method might be applied to population dynamics and even play a
nontrivial evolutionary role in ecology. In this paper we explore this
idea by means of both mathematical and individual-based simulation
models Because of the intrinsic noise linked to individual behavior, controlling a noisy system becomes more difficult but, as shown here, it
is a feasible task allowed to be experimentally tested. (C) 1999 Society
for Mathematical Biology.
Tags
Dispersal
systems
complex dynamics
Fluctuations
Population-dynamics
Extinction
Communities
Equations
Attractors
Unidimensional maps