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R language-based methods for revealing taxonomic and functional diversity and tracing process of fish fauna

机译:基于R语言的鱼类生物分类和功能多样性以及追踪过程的方法

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This paper presented the fish species richness at geographical unit of the Yangtze River. According to the fish taxonomic catalogs and biological traits, R language method was used to determine taxonomic diversity and functional diversity and the components of each unit. Regression analysis was used to test the varying tendency of taxonomic and functional diversity corresponding to the change of species richness.?Functional diversity is compared against taxonomic diversity in capturing the structure of dynamic ecosystem.?The β-diversity indices of taxonomy and function were calculated and decomposed to evaluate the role of species turnover and nestedness in the formation process of fish spatial pattern.?An integrated diversity index, balancing α and β diversity of species richness, taxonomic and functional diversity, is used to screen the prior conservation zone.
机译:本文介绍了长江地理区域的鱼类物种丰富度。根据鱼类的分类目录和生物学特性,使用R语言方法确定分类多样性和功能多样性以及每个单元的组成。通过回归分析检验了物种多样性变化所对应的分类和功能多样性的变化趋势。?在捕获动态生态系统的结构时,将功能多样性与分类多样性进行了比较。?计算了分类和功能的β多样性指数并通过综合评估物种丰富度的α和β多样性,分类学和功能多样性的综合多样性指数来筛选先前的保护区,以评估物种更新和嵌套在鱼类空间格局形成过程中的作用。

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