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Community concordance in lotic ecosystems: How to establish unbiased congruence between macroinvertebrate and fish communities

机译:抽水生态系统中的社区一致性:如何在大型无脊椎动物和鱼类社区之间建立无偏一致性

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摘要

Community concordance within aquatic biota could provide useful information for improving the methods used in bioassessment and biodiversity conservation management. The main goal of the study was to investigate the mechanism of community concordance between macroinvertebrates and fish in a single river basin (South Morava river Basin, Serbia). In order to achieve this, a Self organizing map (SOM) ordinated and classified sampling sites based on the community structures of five different taxa groups (macroinveretbrates (MIB), fish (FSH), Chironomidae (CHI), Macroinvertebrates without Chironomidae (MWC) and the Ephemeroptera Plecoptera Trichioptera group (EPT)). SOM also revealed 6 environmental gradients along the groups tested that significantly changed their community structures. Using the results of the SOM analysis as the input, the Mantel test quantified the highest community concordance between FSH and MIB (r = 0.42) followed by FSH and CHI (r = 0.29). The lowest concordance was recorded between FSH and EPT (r = 0.14). The indicator species analysis (IndVal) revealed 39 species to be responsible for the community patterns obtained. The Geo-SOM visualized the spatial distribution of the IndVal taxa, revealing the generators of community concordance. The strength of community concordance depends on the variability of the data on the aquatic biota. Thus, having an appropriate sampling and statistical design as well as high taxonomic resolution, as some of the factors which increase the variability in the data set, could present community concordance between fish and macro invertebrates in an unbiased way.
机译:水生生物群内的社区一致性可以为改进生物评估和生物多样性保护管理中使用的方法提供有用的信息。该研究的主要目的是研究单一河流域(塞尔维亚南摩拉瓦河流域)中大型无脊椎动物与鱼类之间的社区协调机制。为了实现这一目标,自组织图(SOM)根据五个不同分类群(大型无脊椎动物(MIB),鱼类(FSH),Chironomidae(CHI),无Chironomidae的大型无脊椎动物)的群落结构对采样点进行了分类。和Ephemeroptera Plecoptera Trichioptera组(EPT)。 SOM还揭示了受测群体的6个环境梯度,这极大地改变了其社区结构。使用SOM分析的结果作为输入,Mantel测试量化了FSH和MIB之间的最高社区一致性(r = 0.42),然后是FSH和CHI(r = 0.29)。在FSH和EPT之间记录的最低一致性(r = 0.14)。指标物种分析(IndVal)显示39种物种是所获得的群落模式的原因。 Geo-SOM可视化了IndVal分类单元的空间分布,揭示了社区一致性的产生者。社区一致性的强度取决于水生生物群数据的可变性。因此,作为适当的抽样和统计设计以及较高的分类学分辨率,由于某些因素会增加数据集的变异性,因此可以以公正的方式呈现鱼类与大型无脊椎动物之间的群落一致性。

著录项

  • 来源
    《Ecological indicators》 |2017年第12期|474-481|共8页
  • 作者单位

    Univ Nis, Fac Sci & Math, Dept Biol & Ecol, Visegradska 33, Nish 18000, Serbia;

    Univ Nis, Fac Sci & Math, Dept Biol & Ecol, Visegradska 33, Nish 18000, Serbia;

    Univ Kragujevac, Fac Sci, Inst Biol & Ecol, Radoja Domanovica 12, Kragujevac 34000, Serbia;

    Univ Nis, Fac Sci & Math, Dept Biol & Ecol, Visegradska 33, Nish 18000, Serbia|Univ JJ Strossmayer Osijek, Dept Biol, Trg Ljudevita Gaja 6, HR-31000 Osijek, Croatia;

    Univ Nis, Fac Sci & Math, Dept Biol & Ecol, Visegradska 33, Nish 18000, Serbia|Univ Nis, Fac Sci & Math, Dept Math, Visegradska 33, Nish 18000, Serbia;

    Inst Biol Res Dr Sinisa Stankovic, Belgrade 11000, Serbia;

    Univ Kragujevac, Fac Sci, Inst Biol & Ecol, Radoja Domanovica 12, Kragujevac 34000, Serbia;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Community; Bioassessment; SOM method; Lotic systems;

    机译:社区;生物评估;SOM方法;洛特系统;

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