Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/99151
DC FieldValueLanguage
dc.contributor.authorChen, Youhuazh_TW
dc.contributor.authorWu, Yongbinzh_TW
dc.contributor.authorShen, Tsung-Jenzh_TW
dc.contributor.author沈宗荏zh_TW
dc.date2018-
dc.date.accessioned2019-10-16T07:00:50Z-
dc.date.available2019-10-16T07:00:50Z-
dc.identifier.issn2167-8359zh_TW
dc.identifier.urihttp://hdl.handle.net/11455/99151-
dc.description.abstractRao's quadratic diversity index is one of the most widely applied diversity indices in functional and phylogenetic ecology. The standard way of computing Rao's quadratic diversity index for an ecological assemblage with a group of species with varying abundances is to sum the functional or phylogenetic distances between a pair of species in the assemblage, weighted by their relative abundances. Here, using both theoretically derived and observed empirical datasets, we show that this standard calculation routine in practical applications will statistically underestimate the true value, and the bias magnitude is derived accordingly. The underestimation will become worse when the studied ecological community contains more species or the pairwise species distance is large. For species abundance data measured using the number of individuals, we suggest calculating the unbiased Rao's quadratic diversity index.zh_TW
dc.language.isoenzh_TW
dc.relationPeerJ, Volume 6, Page(s) e5211.zh_TW
dc.subjectBiodiversity measurezh_TW
dc.subjectBiometricszh_TW
dc.subjectEstimation accuracyzh_TW
dc.subjectForest ecologyzh_TW
dc.subjectFunctional traitszh_TW
dc.subjectPhylogenetic ecologyzh_TW
dc.titleEvaluation of the estimate bias magnitude of the Rao's quadratic diversity indexzh_TW
dc.typeJournal Articlezh_TW
dc.identifier.doi10.7717/peerj.5211zh_TW
dc.awards2018zh_TW
item.cerifentitytypePublications-
item.grantfulltextrestricted-
item.languageiso639-1en-
item.fulltextwith fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeJournal Article-
Appears in Collections:統計學研究所
Files in This Item:
File Description SizeFormat Existing users please Login
162.pdf1.25 MBAdobe PDFThis file is only available in the university internal network    Request a copy
Show simple item record
 

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.