English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/41730
Title: Aggregate Statistical Measures and Metapopulation Dynamics
Authors: Bascompte, Jordi
Issue Date: Apr-2001
Publisher: Elsevier
Citation: Journal of Theoretical Biology 209 (3): 373-379 (2001)
Abstract: 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.
Publisher version (URL): http://dx.doi.org/10.1006/jtbi.2001.2275
URI: http://hdl.handle.net/10261/41730
DOI: 10.1006/jtbi.2001.2275
Appears in Collections:(EBD) Artículos
Files in This Item:
There are no files associated with this item.
Show full item record

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.