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将多样性分解为均匀度、相似度和丰富度的度量。

Decomposing diversity into measures of evenness, similarity, and richness.

作者信息

Chen Bingzhang, Grinfeld Michael

机构信息

Department of Mathematics and Statistics University of Strathclyde Glasgow UK.

出版信息

Ecol Evol. 2024 Feb 13;14(2):e10952. doi: 10.1002/ece3.10952. eCollection 2024 Feb.

Abstract

It has long been recognized that diversity has many measurable aspects, such as richness, evenness, and similarity among species. However, given a diversity index, it is unclear whether it necessarily can be decomposed into components that reflect these different aspects. Here, we present a scheme to decompose the Leinster and Cobbold diversity index, which subsumes and generalizes many other indices, into the components of richness, evenness and taxonomic similarity. Our approach addresses the problem that in general a vector of equal relative abundances does not maximize diversity. Furthermore, our approach uses all available information to give unbiased estimates of both evenness and similarity.

摘要

长期以来,人们已经认识到多样性有许多可衡量的方面,例如物种丰富度、均匀度和相似度。然而,给定一个多样性指数,尚不清楚它是否必然可以分解为反映这些不同方面的组成部分。在这里,我们提出了一种将涵盖并推广许多其他指数的莱因斯特和科博尔德多样性指数分解为丰富度、均匀度和分类相似度组成部分的方案。我们的方法解决了一般情况下相等相对丰度向量不会使多样性最大化的问题。此外,我们的方法利用所有可用信息来给出均匀度和相似度的无偏估计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0450/10864690/ad16058e31e2/ECE3-14-e10952-g001.jpg

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