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  • 标题:R language-based methods for revealing taxonomic and functional diversity and tracing process of fish fauna
  • 本地全文:下载
  • 作者:Bin Kang ; Xiaoxia Huang ; Yunzhi Yan
  • 期刊名称:MethodsX
  • 印刷版ISSN:2215-0161
  • 电子版ISSN:2215-0161
  • 出版年度:2018
  • 卷号:5
  • 页码:1498-1502
  • DOI:10.1016/j.mex.2018.11.003
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Graphical abstractThe figure showed the spatial pattern of an integrated index of multifaceted diversity in the Yangtze River Basin, considering the higher fish species richness and functional contribution. Headwater (characterized by abundant endemic species), the middle mainstream (necessary to fish migration), and the lakes (showing higher diverse species) were primary zones for conservation.Display OmittedAbstractThis 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.
  • 关键词:Species richness;Taxonomic diversity;Functional diversity;Species turnover/nestedness;Conservation
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