dorsal/arxiv
View SchemaCommunity-driven dispersal in an individual-based predator-prey model
| Authors | Elise Filotas, Martin Grant, Lael Parrott, Per Arne Rikvold |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0703041 |
| URL | https://arxiv.org/abs/q-bio/0703041 |
| DOI | 10.1016/j.ecocom.2008.01.002 |
| Journal | Ecological Complexity 5 (2008) 238-251 |
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.
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"abstract": "We present a spatial, individual-based predator-prey model in which dispersal\nis dependent on the local community. We determine species suitability to the\nbiotic conditions of their local environment through a time and space varying\nfitness measure. Dispersal of individuals to nearby communities occurs whenever\ntheir fitness falls below a predefined tolerance threshold. The spatiotemporal\ndynamics of the model is described in terms of this threshold. We compare this\ndynamics with the one obtained through density-independent dispersal and find\nmarked differences. In the community-driven scenario, the spatial correlations\nin the population density do not vary in a linear fashion as we increase the\ntolerance threshold. Instead we find the system to cross different dynamical\nregimes as the threshold is raised. Spatial patterns evolve from disordered, to\nscale-free complex patterns, to finally becoming well-organized domains. This\nmodel therefore predicts that natural populations, the dispersal strategies of\nwhich are likely to be influenced by their local environment, might be subject\nto complex spatiotemporal dynamics.",
"arxiv_id": "q-bio/0703041",
"authors": [
"Elise Filotas",
"Martin Grant",
"Lael Parrott",
"Per Arne Rikvold"
],
"categories": [
"q-bio.PE",
"q-bio.QM"
],
"doi": "10.1016/j.ecocom.2008.01.002",
"journal_ref": "Ecological Complexity 5 (2008) 238-251",
"title": "Community-driven dispersal in an individual-based predator-prey model",
"url": "https://arxiv.org/abs/q-bio/0703041"
},
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