Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/41730
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Título : Aggregate Statistical Measures and Metapopulation Dynamics
Autor : Bascompte, Jordi
Fecha de publicación : Apr-2001
Editor: Elsevier
Citación : Journal of Theoretical Biology 209 (3): 373-379 (2001)
Resumen: here are two main types of metapopulation models. Spatially implicit models are analytically tractable but neglect spatial heterogeneities. Spatially explicit models are more realistic but too complex. In this paper, I build a bridge between both approximations. I derive a new metapopulation model using a well-known technique in population genetics. Spatial heterogeneities are captured by an aggregate statistical measure of spatial correlation. When this correlation is zero, i.e., space is homogeneous, the model becomes the well-known Levins' model. As spatial correlation increases, equilibrium patch occupancy decreases from what would be expected under the spatially homogeneous assumption. I proceed by testing how well spatial complexities from a spatially explicit simulation can be encapsulated by such an aggregate statistical measure.
Versión del editor: http://dx.doi.org/10.1006/jtbi.2001.2275
URI : http://hdl.handle.net/10261/41730
DOI: 10.1006/jtbi.2001.2275
Citación : Journal of Theoretical Biology 209 (3): 373-379 (2001)
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