Evaluation of the estimate bias magnitude of the Rao's quadratic diversity index

被引:8
|
作者
Chen, Youhua [1 ,2 ]
Wu, Yongbin [3 ]
Shen, Tsung-Jen [4 ,5 ]
机构
[1] Chinese Acad Sci, CAS Key Lab Mt Ecol Restorat & Bioresource Utiliz, Chengdu Inst Biol, Chengdu, Sichuan, Peoples R China
[2] Chinese Acad Sci, Ecol Restorat & Biodivers Conservat Key Lab Sichu, Chengdu Inst Biol, Chengdu, Sichuan, Peoples R China
[3] South China Agr Univ, Coll Forestry & Landscape Architecture, Guangzhou, Guangdong, Peoples R China
[4] Natl Chung Hsing Univ, Inst Stat, Taichung, Taiwan
[5] Natl Chung Hsing Univ, Dept Appl Math, Taichung, Taiwan
来源
PEERJ | 2018年 / 6卷
关键词
Biometrics; Forest ecology; Biodiversity measure; Estimation accuracy; Phylogenetic ecology; Functional traits; FUNCTIONAL DIVERSITY; SPECIES ABUNDANCE; ENTROPY; EXTRAPOLATION; RAREFACTION; FOREST; NUMBER;
D O I
10.7717/peerj.5211
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Rao'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.
引用
收藏
页数:13
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