Please use this identifier to cite or link to this item: https://doi.org/10.1111/j.1523-1739.2004.00468.x
DC FieldValue
dc.titleEcological correlates of extinction proneness in tropical butterflies
dc.contributor.authorKoh, L.P.
dc.contributor.authorSodhi, N.S.
dc.contributor.authorBrook, B.W.
dc.date.accessioned2014-10-27T08:26:50Z
dc.date.available2014-10-27T08:26:50Z
dc.date.issued2004-12
dc.identifier.citationKoh, L.P., Sodhi, N.S., Brook, B.W. (2004-12). Ecological correlates of extinction proneness in tropical butterflies. Conservation Biology 18 (6) : 1571-1578. ScholarBank@NUS Repository. https://doi.org/10.1111/j.1523-1739.2004.00468.x
dc.identifier.issn08888892
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/100525
dc.description.abstractWidespread and rapid losses of natural habitats and biodiversity have made the identification of extinction-prone species a major challenge in conservation biology. We assessed the relative importance of biologically relevant species traits (e.g., body size, ecological specialization) obtained from published records to determine the extinction probability of butterflies in a highly disturbed tropical landscape (i.e., Singapore). We also developed a taxon-specific model to estimate the extinction proneness of butterflies in Southeast Asia. Logistic regression analyses showed that adult habitat specialization, larval host plant specificity, geographical distribution, sexual dichromatism, and congenor density were significant and independent determinants of butterfly extinctions in Singapore. Among these traits, specificity of larval host plant and adult habitat specialization were the best correlates of extinction risks. We used this phenomenological extinction-regression model to estimate the relative extinction proneness of 416 butterfly species in Southeast Asia. Our results illustrate the utility of available taxon-specific data for a localized area in estimating the extinction proneness of closely related species on a regional scale. When intensive field studies are not forthcoming, especially in regions suffering from rapid biodiversity losses (e.g., Southeast Asia), similar approaches could be used to estimate extinction threats for other taxonomic groups.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1111/j.1523-1739.2004.00468.x
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentBIOLOGICAL SCIENCES
dc.description.doi10.1111/j.1523-1739.2004.00468.x
dc.description.sourcetitleConservation Biology
dc.description.volume18
dc.description.issue6
dc.description.page1571-1578
dc.description.codenCBIOE
dc.identifier.isiut000225737300020
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