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Metapopulation Models for Extinction Threshold in Spatially Correlated Landscapes

, , , and . Journal of Theoretical Biology, 215 (1): 95 - 108 (2002)
DOI: DOI: 10.1006/jtbi.2001.2502

Abstract

Simple analytical models assuming homogeneous space have been used to examine the effects of habitat loss and fragmentation on metapopulation size. The models predict an extinction threshold, a critical amount of suitable habitat below which the metapopulation goes deterministically extinct. The consequences of non-random loss of habitat for species with localized dispersal have been studied mainly numerically. In this paper, we present two analytical approaches to the study of habitat loss and its metapopulation dynamic consequences incorporating spatial correlation in both metapopulation dynamics as well as in the pattern of habitat destruction. One approach is based on a measure called metapopulation capacity, given by the dominant eigenvalue of a

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