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Simple temporal models for ecological systems with complex spatial patterns
DOI:10.1046/j.1461-0248.2002.00334.x.png)
Abstract
En 中文
Spatial patterns are ubiquitous in nature. Because these patterns modify the temporal dynamics and stability properties of population densities at a range of spatial scales, their effects must be incorporated in temporal ecological models that do not represent space explicitly. We demonstrate a connection between a simple parameterization of spatial effects and the geometry of clusters in an individual-based predator-prey model that is both nonlinear and stochastic. Specifically we show that clusters exhibit a power-law scaling of perimeter to area with an exponent close to unity. In systems with a high degree of patchiness, similar power-law scalings can provide a basis for applying simple temporal models that assume well-mixed conditions.
Keywords:
individual-based predator-prey model
modified mean-field equation
power-law scaling
cluster geometry
Journal
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7.9
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4.4K
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4.0W
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