Modelling extinction risk in multispecies data sets: phylogenetically independent contrasts versus decision trees
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Bielby, Jon; Cardillo, Marcel; Cooper, N.; Purvis, A.
Description
Many recent studies of extinction risk have attempted to determine what differences exist between threatened and non-threatened species. One potential problem in such studies is that species-level data may contain phylogenetic non-independence. However, the use of phylogenetic comparative methods (PCM) to account for non-independence remains controversial, and some recent studies of extinction have recommended other methods that do not account for phylogenetic non-independence, notably decision...[Show more]
dc.contributor.author | Bielby, Jon | |
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dc.contributor.author | Cardillo, Marcel | |
dc.contributor.author | Cooper, N. | |
dc.contributor.author | Purvis, A. | |
dc.date.accessioned | 2015-12-10T22:55:03Z | |
dc.identifier.issn | 0960-3115 | |
dc.identifier.uri | http://hdl.handle.net/1885/59923 | |
dc.description.abstract | Many recent studies of extinction risk have attempted to determine what differences exist between threatened and non-threatened species. One potential problem in such studies is that species-level data may contain phylogenetic non-independence. However, the use of phylogenetic comparative methods (PCM) to account for non-independence remains controversial, and some recent studies of extinction have recommended other methods that do not account for phylogenetic non-independence, notably decision trees (DTs). Here we perform a systematic comparison of techniques, comparing the performance of PCM regression models with corresponding non-phylogenetic regressions and DTs over different clades and response variables. We found that predictions were broadly consistent among techniques, but that predictive precision varied across techniques with PCM regression and DTs performing best. Additionally, despite their inability to account for phylogenetic non-independence, DTs were useful in highlighting interaction terms for inclusion in the PCM regression models. We discuss the implications of these findings for future comparative studies of extinction risk. | |
dc.publisher | Kluwer Academic Publishers | |
dc.source | Biodiversity and Conservation | |
dc.subject | Keywords: comparative study; data set; decision analysis; endangered species; extinction risk; phylogenetics; regression analysis; species conservation Comparative analyses; Conservation; Decision trees; Extinction risk; Non-independent data; Phylogenetic comparative methods | |
dc.title | Modelling extinction risk in multispecies data sets: phylogenetically independent contrasts versus decision trees | |
dc.type | Journal article | |
local.description.notes | Imported from ARIES | |
local.identifier.citationvolume | 19 | |
dc.date.issued | 2010 | |
local.identifier.absfor | 060309 - Phylogeny and Comparative Analysis | |
local.identifier.absfor | 060311 - Speciation and Extinction | |
local.identifier.ariespublication | u9511635xPUB513 | |
local.type.status | Published Version | |
local.contributor.affiliation | Bielby, Jon, Imperial College London | |
local.contributor.affiliation | Cardillo, Marcel, College of Medicine, Biology and Environment, ANU | |
local.contributor.affiliation | Cooper, N., Imperial College London | |
local.contributor.affiliation | Purvis, A., Imperial College London | |
local.description.embargo | 2037-12-31 | |
local.bibliographicCitation.startpage | 113 | |
local.bibliographicCitation.lastpage | 127 | |
local.identifier.doi | 10.1007/s10531-009-9709-0 | |
dc.date.updated | 2016-02-24T12:06:29Z | |
local.identifier.scopusID | 2-s2.0-72249089564 | |
local.identifier.thomsonID | 000272614200007 | |
Collections | ANU Research Publications |
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