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Erik Jeppesen

Different responses of functional traits and diversity of stream macroinvertebrates to environmental and spatial factors in the Xishuangbanna watershed of the upper Mekong River Basin, China

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  • Ning Ding, Nanjing Agr Univ, Nanjing Agricultural University, Dept Entomol
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  • Weifang Yang, Jiangsu Prov Ctr Dis Control & Prevent, Jiangsu Provincial Center for Disease Control & Prevention
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  • Yunlei Zhou, Nanjing Agr Univ, Nanjing Agricultural University, Dept Entomol
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  • Ivan Gonzalez-Bergonzoni, Univ Republica, University of the Republic - Uruguay, Fac Ciencias, Dept Ecol & Evoluc, Sino Danish Ctr Educ & Res SDC
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  • Jie Zhang, Nanjing Agr Univ, Nanjing Agricultural University, Dept Entomol
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  • Kai Chen, Nanjing Hydraul Res Inst, Nanjing Hydraulic Research Institute, Ctr Ecoenvironm Sci Res
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  • Nicolas Vidal, Sino Danish Ctr Educ & Res SDC
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  • Erik Jeppesen
  • Zhengwen Liu, Chinese Acad Sci, Chinese Academy of Sciences, Nanjing Institute of Geography & Limnology, CAS, Nanjing Inst Geog & Limnol
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  • Beixin Wang, Nanjing Agr Univ, Nanjing Agricultural University, Dept Entomol

Functional traits and diversity indices have provided new insights into community responses to stressors. Most traits of aquatic organisms have frequently been tested for predictability and geographical stability in response to environmental variables, but such tests of functional diversity indices are rare. We sampled macroinverte-brates at 18 reference sites (RS) and 35 disturbed sites (DS) from headwater streams in the upper Mekong River Basin, Xishuangbanna (XSBN), China. We selected 29 qualitative categories of eight traits and then calculated five functional diversity indices, namely functional richness (FRic), functional evenness (FEve), functional dispersion (FDis), functional divergence (FDiv) and Rao's Quadratic Entropy (RaoQ), and two trait diversity indices, namely trait richness (TR) and trait diversity (TD). We used combination of RLQand fourth-corner to examine the response of traits and functional diversity to the disturbance and environmental variables. We used variance partitioning to explore the relative role of environmental variables and spatial factors in constraining trait composition and functional diversity. We found that the relative frequency of ten trait categories, and the values of TD, TR, FRic and FDis in RS were significantly different (p <0.05) from DS. In addition, the seven traits (except for "habit") demonstrated a predictable response of trait patterns along the integrative environmental gradients. Environmental variables significantly contributed to most of the traits, functional diversity and trait diversity. However, spatial variables were mainly significant in shaping ecological traits, FRic and FEve. Our results confirm the dominant role of environmental variables in the determination of community trait composition and functional diversity, and substantiate the contribution of spatial vectors in explaining the variance of functional traits and diversity. We conclude that the traits "Refuge", "External protection", "Respiration" and "Body shape", and diversity indices FDis, TD, and TR are promising indicators of stream conditions at XSBN. (C) 2016 Elsevier B.V. All rights reserved.

Original languageEnglish
JournalScience of the Total Environment
Volume574
Pages (from-to)288-299
Number of pages12
ISSN0048-9697
DOIs
Publication statusPublished - 1 Jan 2017

    Research areas

  • Benthic macroinvertebrates, Bioassessment Biological traits, Functional diversity, Land use, SPECIES TRAITS, BENTHIC-MACROINVERTEBRATES, BIOLOGICAL TRAITS, FISH ASSEMBLAGES, LAND-USE, HEADWATER STREAMS, COMMUNITY TRAITS, REFERENCE SITES, FINE SEDIMENT, LONG-TERM

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