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dc.contributor.authorHui, Cang
dc.contributor.authorMcGeoch, Melodie A.
dc.date.accessioned2009-08-15T09:15:12Z
dc.date.available2009-08-15T09:15:12Z
dc.date.issued2008
dc.identifier.citationHui, C. & McGeoch, M.A. (2008) Does the self-similar species distribution model lead to unrealistic predictions? Ecology, 89: 2946-2952.en
dc.identifier.issn0012-9658en
dc.identifier.urihttp://hdl.handle.net/123456789/411
dc.description.abstractJ. Harte et al. demonstrated that the power law form of the species–area relationship may be derived from a bisected, self-similar landscape and a community-level probability rule. Harte’s self-similarity model has been widely applied in modeling species distributions. However, R. D. Maddux showed that this self-similarity model generates biologically unrealistic predictions. We resolve the Harte–Maddux debate by demonstrating that the problems identified by Maddux result from an assumption that the probability of occurrence of a species at one scale is independent of its probability of occurrence at the next. We refer to this as a ‘‘non-heritage assumption.’’ By altering this assumption to one in which each species in the community has an occupancy status that is partially inherited across scales (a scale-heritage assumption), the predictions of the self-similarity model are neither mathematically inconsistent nor biologically unrealistic. Harte’s self-similarity model remains an important framework for modeling species distributions. Our results illustrate the importance of considering patterns of species co-occurrence, and the way in which species occupancy patterns change with scale, when modeling species distributions.en
dc.description.sponsorshipthe DST-NRF Centre of Invasion Biology for financial support.en
dc.format.extent267002 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.subjectfractalen
dc.subjectpower lawen
dc.subjectscalingen
dc.subjectspecies–area curveen
dc.subjectspecies associationen
dc.titleDoes the self-similar species distribution model lead to unrealistic predictions?en
dc.typeJournal Articlesen
dc.cibjournalEcologyen
dc.cibprojectLarge-scale patterns in diversityen


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