Community-driven dispersal in an individual-based predator-prey model
Authored by Lael Parrott, Elise Filotas, Martin Grant, Per Arne Rikvold
Date Published: 2008
DOI: 10.1016/j.ecocom.2008.01.002
Sponsors:
National Science and Engineering Research Council of Canada (NSERC)
United States National Science Foundation (NSF)
Platforms:
No platforms listed
Model Documentation:
Other Narrative
Mathematical description
Model Code URLs:
Model code not found
Abstract
We present a spatial, individual-based predator-prey model in which
dispersal is dependent on the local community. We determine species
suitability to the biotic conditions of their local environment through
a time and space varying fitness measure. Dispersal of individuals to
nearby communities occurs whenever their fitness falls below a
predefined tolerance threshold. The spatiotemporal dynamics of the model
is described in terms of this threshold. We compare this dynamics with
the one obtained through density-independent dispersal and find marked
differences. In the community-driven scenario, the spatial correlations
in the population density do not vary in a linear fashion as we increase
the tolerance threshold. Instead we find the system to cross different
dynamical regimes as the threshold is raised. Spatial patterns evolve
from disordered, to scale-free complex patterns, to finally becoming
well-organized domains. This model therefore predicts that natural
populations, the dispersal strategies of which are likely to be
influenced by their local environment, might be subject to complex
spatiotemporal dynamics. (c) 2008 Elsevier B.V. All rights reserved.
Tags
Cellular-automata
Population-dynamics
Ecological-systems
Pattern-formation
Dependent dispersal
Spatial
structure
Local interactions
Biological coevolution
Spatiotemporal complexity
Spectral-analysis