Stabilizing effects in spatial parasitoid–host and predator–prey models: a review
We review the literature on spatial host–parasitoid and predator–prey models. Dispersal on its own is not stabilizing and can destabilize a stable local equilibrium. We identify three mechanisms whereby limited dispersal of hosts and parasitoids combined with other features, such as spatial and temp...
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Veröffentlicht in: | Theoretical population biology 2004-05, Vol.65 (3), p.299-315 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | We review the literature on spatial host–parasitoid and predator–prey models. Dispersal on its own is not stabilizing and can destabilize a stable local equilibrium. We identify three mechanisms whereby limited dispersal of hosts and parasitoids combined with other features, such as spatial and temporal heterogeneity, can promote increased persistence and stability. The first mechanism, “statistical stabilization”, is simply the statistical effect that summing a number of out-of-phase population trajectories results in a relatively constant total population density. The second mechanism involves decoupling of immigration from local density, such that limited dispersal between asynchronous patches results in an effect that mimics density-dependence at the local patch level. The third mechanism involves altering spatially averaged parameter values resulting from spatial heterogeneity in density combined with non-linear responses to density. Persistence in spatially explicit models with local dispersal is frequently associated with self-organized spatial patterning. |
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ISSN: | 0040-5809 1096-0325 |
DOI: | 10.1016/j.tpb.2003.11.001 |