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题名: Different surrogacy approaches for stream macroinvertebrates in discriminating human disturbances in Central China
作者: Jiang, Xiaoming1; Song, Zhuoyan1, 2; Xiong, Jing1; Proctor, Heather2; Xie, Zhicai1
关键词: Species surrogacy ; Stream macroinvertebrates ; Community composition ; Biodiversity indices ; Random aggregation ; Bioassessment
刊名: ECOLOGICAL INDICATORS
发表日期: 2017-04-01
DOI: 10.1016/j.ecolind.2016.12.039
卷: 75, 页:182-191
收录类别: SCI
文章类型: Article
WOS标题词: Science & Technology ; Life Sciences & Biomedicine
类目[WOS]: Biodiversity Conservation ; Environmental Sciences
研究领域[WOS]: Biodiversity & Conservation ; Environmental Sciences & Ecology
英文摘要: Due to the difficulty of identifying many taxa of freshwater invertebrates to species, many researchers have assessed the utility of surrogates for species-level identifications (e.g. higher taxa) in bioassessment programs. Here, we examined the efficiency of two different approaches to species surrogacy, one using coarser taxonomic resolution and a second approach based on random aggregation ("Best practicable aggregation of species", BestAgg), in portraying patterns of stream macroinvertebrates in Central China. The main objectives were: (1) to compare the discriminatory power of biodiversity indices and assemblage structure for different levels of human disturbances based on different taxonomic resolution and on BestAgg; (2) to identify the congruence of assemblage-environment and biodiversity-indicesenvironment relationships for datasets at the species level versus those at surrogate levels. We found that genus-level and BestAgg datasets accurately reproduced the pattern of species-level communities, whereas family-and order-level datasets did not. Specifically, both genus-level and BestAgg approaches performed almost as well as species-level data in distinguishing sites subjected to different disturbance levels. Most of the environmental variables that were important for species-level assemblages, also emerged as significant when analyzing genera and BestAgg surrogates, as shown by both analyses of indices and assemblage composition according to distance-based ordination models. Our results suggest that genus-level taxonomy, which resulted in the least loss of ecological information relative to species-level identification, is sufficient in studies of community ecology and bioassessment of stream macroinvertebrates in Central China. In addition, the BestAgg approach, which required identification of fewer taxa than genus-level analysis, has a similar ability to depict multivariate patterns of macroinvertebrate assemblages and differentiate different disturbance levels. Applying our results could enhance speed and cost-effectiveness of freshwater biomonitoring and bioassessment programs; however, independent determination of best taxonomic level and BestAgg will be required whenever a new geographic area or habitat type is assessed. (C) 2016 Elsevier Ltd. All rights reserved.
关键词[WOS]: TAXONOMIC RESOLUTION ; SPECIES SURROGACY ; MULTIVARIATE-ANALYSIS ; CHIRONOMID COMMUNITY ; BESTAGG APPROACH ; BETA DIVERSITY ; SUFFICIENCY ; TAXA ; CONSERVATION ; PATTERNS
语种: 英语
项目资助者: National Natural Science Foundation of China(31400469) ; National Science and Technology Basic Research Program(2015FY110400-4) ; China Three Gorges Corporation Research Project(JGJ/0272015)
WOS记录号: WOS:000398334600020
ISSN号: 1470-160X
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.ihb.ac.cn/handle/342005/29212
Appears in Collections:水生生物多样性与资源保护研究中心_期刊论文

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作者单位: 1.Chinese Acad Sci, Inst Hydrobiol, CAS Key Lab Aquat Biodivers & Conservat, Wuhan 430072, Peoples R China
2.Univ Alberta, Dept Biol Sci, Edmonton, AB, Canada
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