Ricotta Carlo
Department of Plant Biology, University of Rome La Sapienza, Piazzale Aldo Moro 5, 00185, Rome, Italy.
Acta Biotheor. 2007;55(1):23-33. doi: 10.1007/s10441-007-9008-7. Epub 2007 May 8.
Community diversity has been studied extensively in relation to its effects on ecosystem functioning. Testing the consequences of diversity on ecosystem processes will require measures to be available based on a rigorous conceptualization of their very meaning. In the last decades, literally dozens of measures of diversity have been proposed. However, rather than using unrelated metrics, we need to identify their separate components so that possible links between them and ecosystem functioning can be examined using an agreed-upon language. In this paper, first, a short overview on new and old measures of community diversity is presented. Next, I propose a general framework in which most of the existing measures of diversity are sorted into four interrelated semantic classes: richness, abundance-weighted diversity, evenness and divergence. In this view, this paper constitutes an attempt to organize the very large number of existing diversity measures avoiding ambiguities in the meaning of the different facets of community diversity.
关于群落多样性对生态系统功能的影响，已经进行了广泛的研究。要检验多样性对生态系统过程的影响，就需要基于对其确切含义的严格概念化来制定相关测量方法。在过去几十年里，人们提出了几十种多样性测量方法。然而，我们需要识别这些方法的不同组成部分，而不是使用不相关的指标，以便能用一致认可的术语来研究它们与生态系统功能之间可能存在的联系。本文首先简要概述了群落多样性的新旧测量方法。接下来，我提出一个通用框架，将大多数现有的多样性测量方法分为四个相互关联的语义类别：丰富度、丰度加权多样性、均匀度和离散度。从这个角度来看，本文旨在对大量现有的多样性测量方法进行整理，避免群落多样性不同方面含义的模糊性。
