Zhang Zhiyi
Department of Mathematics and Statistics, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.
Entropy (Basel). 2022 Oct 21;24(10):1504. doi: 10.3390/e24101504.
A generalized notion of species richness is introduced. The generalization embeds the popular index of species richness on the boundary of a family of diversity indices each of which is the number of species in the community after a small proportion of individuals belonging to the least minorities is trimmed. It is established that the generalized species richness indices satisfy a weak version of the usual axioms for diversity indices, are qualitatively robust against small perturbations in the underlying distribution, and are collectively complete with respect to all information of diversity. In addition to a natural plug-in estimator of the generalized species richness, a bias-adjusted estimator is proposed, and its statistical reliability is gauged via bootstrapping. Finally an ecological example and supportive simulation results are given.
引入了物种丰富度的广义概念。这种广义化将流行的物种丰富度指数嵌入到一族多样性指数的边界上,其中每个指数是在去除属于最少数群体的一小部分个体后群落中的物种数量。已证明广义物种丰富度指数满足多样性指数通常公理的一个弱版本,在基础分布受到小扰动时具有定性稳健性,并且关于所有多样性信息是集体完备的。除了广义物种丰富度的自然代入估计量外,还提出了一个偏差调整估计量,并通过自助法评估其统计可靠性。最后给出了一个生态学实例和支持性的模拟结果。