Abstract

This paper reviews the combined indexes created to reflect the importance of a species (species population) in an individual biocoenosis, in a region (regional or spatial complex), and in a class (type) of biocoenoses. The main features of the indexes, such as the parameters included, structures of formulas, areas of applicability, and limitations of use are discussed. The content of some parameters, such as the frequency in a biocoenosis, the frequency in a region, and the presence, is made more accurate for an interdisciplinary context. The combined importance indexes were created from parameters that can be measured during the collection of mass data using common field research methods. The ease of measurement largely determines whether the combined indexes are in demand. The main areas of their application are in investigation of the dominance structure, in comparative analysis of importance values of different species in one biocoenosis, and in comparative analysis of biocoenoses considering the importance value of their constituent species. Therefore, combined indexes are used for the study of dynamics, for the description of classes of biocoenoses, for analysis of spatial series of biocoenoses, for calculation of the correlation between species or biocoenoses and the environment, for estimation of the biomass, for modeling of the geographical distribution of species, etc. Additionally, these indexes can be used everywhere where not only the composition but also the importance of species are considered. For example, currently a tendency to use combined indexes in geographic information systems has been outlined.

中文翻译：

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物种在生物群落、一类生物群落和区域中的重要性：组合指数回顾

摘要

本文回顾了为反映物种（物种种群）在单个生物群落、区域（区域或空间复合体）和生物群落类别（类型）中的重要性而创建的组合指数。讨论了指标的主要特点，如包含的参数、公式结构、适用范围和使用限制。某些参数的内容，例如生物群落中的频率、区域中的频率和存在，在跨学科环境中变得更加准确。组合重要性指数是根据在使用常见的实地研究方法收集大量数据期间可以测量的参数创建的。衡量的难易程度在很大程度上决定了组合指数是否有需求。它们的主要应用领域是优势结构的调查，在一个生物群落中不同物种的重要性值的比较分析，以及考虑其组成物种的重要性值的生物群落的比较分析。因此，组合指数用于动态研究，用于描述生物群落的类别，用于分析生物群落的空间序列，用于计算物种或生物群落与环境之间的相关性，用于估计生物量，用于建模物种的地理分布等。此外，这些指标可以用于任何地方，不仅考虑物种的组成，而且考虑物种的重要性。例如，目前已经概述了在地理信息系统中使用组合索引的趋势。