文献类型：期刊文献

英文题名：Assessing tree species diversity in forest ecosystems: A new approach

作者：Zhao, Zhonghua[1] Hui, Gangying[1] Yang, Aimin[1] Zhang, Gongqiao[1] Hu, Yanbo[1]

第一作者：赵中华

通信作者：Hu, YB[1]

机构：[1]Chinese Acad Forestry, Res Inst Forestry, Key Lab Tree Breeding & Cultivat Natl Forestry & G, Beijing, Peoples R China

年份：2022

卷号：10

外文期刊名：FRONTIERS IN ECOLOGY AND EVOLUTION

收录：;Scopus(收录号：2-s2.0-85141701605);WOS:【SCI-EXPANDED(收录号:WOS:000882164800001)】；

基金：Funding The authors gratefully acknowledge the National Natural Science Foundation of China (Funding number: 32171780) and the Basic Research Fund of CAF (Funding number: CAFYBB2020ZB002-1).

语种：英文

外文关键词：absolute discrepancy; logarithmic transformation; normalization; relative abundances; species diversity; species evenness; species richness; uniform distribution

摘要：The significance of biodiversity research is to understand the structure and function of the community, and then to protect and monitor the community. The metric of biodiversity is the base of biodiversity conservation. Species richness and evenness are the most common descriptors of biodiversity. Whether it is diversity information measure, probability measure or geometric measure, they all express the combination of species richness and evenness in different ways. This study presents a new biologically meaningful measure of species diversity, which evaluates species richness and evenness independently, designated as D-RE. The novelty of our method is to use "absolute discrepancy" to express the dissimilarity between the observed community and the uniform distribution community with the same species composition and same abundance of each species, and then measure the species evenness. The logarithmic transformation of the species number is used to measure species richness with values ranging between 0 and 1. We test the performance of this measure using simulated data and observations of natural and planted forests in different climatic zones. The results showed that the new diversity index (D-RE) has superior statistical qualities compared with the traditional indices. Especially, in extremely uneven communities, the new measure describes the causes of diversity changes than the traditional D-RE. In addition, D-RE is more sensitive to the abundance changes of rare species in the simulated community, and the interpretation of the results is more intuitive and meaningful. It is an improved method to evaluate the species diversity of any ecosystem.