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

PeerJ. 2018 Jul 6:6:e5211. doi: 10.7717/peerj.5211. eCollection 2018.

Abstract

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.

Keywords: Biodiversity measure; Biometrics; Estimation accuracy; Forest ecology; Functional traits; Phylogenetic ecology.

Grants and funding

Youhua Chen was supported by the Hundred Talents Program of the Chinese Academy of Sciences (Y8C3041100), the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA19050201) and National Key Programme of Research and Development, Ministry of Science and Technology (2017YFC0505202). Yongbin Wu was funded by the Science and Technology Planning Project of Guangdong Province, China (No. 2015A020209131) and the Innovation of Forestry Science and Technology Foundation of Guangdong, China (No. 2008KJCX010-3, 2012KJCX014-01, 2015KJCX021). Tsung-Jen Shen was supported by the Taiwan Ministry of Science and Technology under contract MOST 106-2118-M-005-002. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.