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dc.contributor.authorHui, C.
dc.contributor.authorMcGeoch, M.A.
dc.contributor.authorReyers, B.
dc.contributor.authorle Roux, P.C.
dc.contributor.authorGreve, M.
dc.contributor.authorChown, S.L.
dc.date.accessioned2010-05-25T09:22:36Z
dc.date.available2010-05-25T09:22:36Z
dc.date.issued2009
dc.identifier.issn1051-0761en
dc.identifier.urihttp://hdl.handle.net/123456789/548
dc.description.abstractThe estimation of species abundances at regional scales requires a cost-efficient method that can be applied to existing broadscale data. We compared the performance of eight models for estimating species abundance and community structure from presence– absence maps of the southern African avifauna. Six models were based on the intraspecific occupancy–abundance relationship (OAR); the other two on the scaling pattern of species occupancy (SPO), which quantifies the decline in species range size when measured across progressively finer scales. The performance of these models was examined using five tests: the first three compared the predicted community structure against well-documented macroecological patterns; the final two compared published abundance estimates for rare species and the total regional abundance estimate against predicted abundances. Approximately two billion birds were estimated as occurring in South Africa, Lesotho, and Swaziland. SPO models outperformed the OAR models, due to OAR models assuming environmental homogeneity and yielding scale-dependent estimates. Therefore, OAR models should only be applied across small, homogenous areas. By contrast, SPO models are suitable for data at larger spatial scales because they are based on the scale dependence of species range size and incorporate environmental heterogeneity (assuming fractal habitat structure or performing a Bayesian estimate of occupancy). Therefore, SPO models are recommended for assemblagescale regional abundance estimation based on spatially explicit presence–absence data.en
dc.description.sponsorshipWe are grateful to the helpful comments and data from Daniela Ottaviani, Jesse M. Kalwij, and two referees, and financial support from DST-NRF Centre of Excellence for Invasion Biology. This work is also supported by the Blue Skies Research Programme of the National Research Foundation (South Africa).en
dc.format.extent303362 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.subjectabundance estimateen
dc.subjectavifauna of South Africa, Lesotho, and Swazilanden
dc.subjectoccupancy-abundance relationshipen
dc.subjectpresence-absence mapen
dc.subjectscaling patterns of occupancyen
dc.subjectspatial scalesen
dc.titleExtrapolating population size from the occupancy–abundance relationship and the scaling pattern of occupancyen
dc.typeJournalArticlesen
dc.cibjournalEcological Applicationsen
dc.cibprojectLarge-scale patterns in diversityen


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