Biology – Quantitative Biology – Populations and Evolution
Scientific paper
2007-03-18
Ecological Complexity 5 (2008) 238-251
Biology
Quantitative Biology
Populations and Evolution
43 pages, 7 figures, vocabulary modifications, discussion expanded, references added, Ecological Complexity accepted
Scientific paper
10.1016/j.ecocom.2008.01.002
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.
Filotas Elise
Grant Martin
Parrott Lael
Rikvold Per Arne
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