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Characterizing macroinvertebrate communities across China: Large-scale implementation of a self-organizing map
Li, Fengqing1; Cai, Qinghua1; Qu, Xiaodong1; Tang, Tao1; Wu, Naicheng1; Fu, Xiaocheng1; Duan, Shugui1; Jahnig, Sonja C.2,3,4; Cai, QH (reprint author), Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Hubei Province, Peoples R China.
2012-12-01
Source PublicationECOLOGICAL INDICATORS
ISSN1470-160X
Volume23Issue:-Pages:394-401
AbstractUnderstanding the geographical patterns and divisions of communities is a fundamental step in achieving the sustainable management of ecosystems, especially in deteriorating global and local environments. The idea of geographical division has been applied on all continents but Antarctica, but it has never been rigorously tested for stream ecosystems in China, leaving a gap in knowledge for many basic and applied research questions regarding, for example, diversity patterns, conservation issues or climate change effects. To fill this gap, we aimed to (1) evaluate the geographical divisions of the macroinvertebrate communities in Chinese streams using the self-organizing map (SUM) method and (2) to characterize the distribution patterns in relation to different environmental variables. Macroinvertebrates were collected from 57 relatively clean stream sites covering a south-north gradient along the boundary of the geographic ladder (or altitudinal divide) in China. SUM was used to analyze large-scale biogeographical divisions of the macroinvertebrate communities. The sampling sites were divided into six clusters, distinguishing the samples from northern, central, and southern China. This pattern was also reflected by biotic metrics (abundance, biomass, taxa and sum of Ephemeroptera, Plecoptera, and Trichoptera richness, and diversity). The gradient of environmental variables, particularly water quality variables, was similar between the clusters, with the exceptions of two clusters from southwestern China when considering altitude and one cluster from northern China when considering conductivity and TN. The different clusters from the SUM were associated with indicator species, with clean-water adapted species dominating in southwestern China and pollution tolerant species in northern China. However, there were no significant correlations between environmental variables and biotic metrics. The overall combination of environmental variables and organism data suggests that spatial variation was the main predictor determining the composition of the macroinvertebrate communities on a large-scale, and the trained SUM appeared to be efficient at classifying streams on a broad geographic scale. (C) 2012 Elsevier Ltd. All rights reserved.; Understanding the geographical patterns and divisions of communities is a fundamental step in achieving the sustainable management of ecosystems, especially in deteriorating global and local environments. The idea of geographical division has been applied on all continents but Antarctica, but it has never been rigorously tested for stream ecosystems in China, leaving a gap in knowledge for many basic and applied research questions regarding, for example, diversity patterns, conservation issues or climate change effects. To fill this gap, we aimed to (1) evaluate the geographical divisions of the macroinvertebrate communities in Chinese streams using the self-organizing map (SUM) method and (2) to characterize the distribution patterns in relation to different environmental variables. Macroinvertebrates were collected from 57 relatively clean stream sites covering a south-north gradient along the boundary of the geographic ladder (or altitudinal divide) in China. SUM was used to analyze large-scale biogeographical divisions of the macroinvertebrate communities. The sampling sites were divided into six clusters, distinguishing the samples from northern, central, and southern China. This pattern was also reflected by biotic metrics (abundance, biomass, taxa and sum of Ephemeroptera, Plecoptera, and Trichoptera richness, and diversity). The gradient of environmental variables, particularly water quality variables, was similar between the clusters, with the exceptions of two clusters from southwestern China when considering altitude and one cluster from northern China when considering conductivity and TN. The different clusters from the SUM were associated with indicator species, with clean-water adapted species dominating in southwestern China and pollution tolerant species in northern China. However, there were no significant correlations between environmental variables and biotic metrics. The overall combination of environmental variables and organism data suggests that spatial variation was the main predictor determining the composition of the macroinvertebrate communities on a large-scale, and the trained SUM appeared to be efficient at classifying streams on a broad geographic scale. (C) 2012 Elsevier Ltd. All rights reserved.
SubtypeArticle
KeywordMacroinvertebrate Biotic Metrics Indicator Species Biogeographical Division Self-organizing Map
Department[Li, Fengqing; Cai, Qinghua; Qu, Xiaodong; Tang, Tao; Wu, Naicheng; Fu, Xiaocheng; Duan, Shugui] Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Hubei Province, Peoples R China; [Jahnig, Sonja C.] Biodivers & Climate Res Inst BiK F, D-63571 Gelnhausen, Germany; [Jahnig, Sonja C.] Senckenberg Res Inst, D-63571 Gelnhausen, Germany; [Jahnig, Sonja C.] Nat Hist Museum Frankfurt, Dept Limnol & Conservat, D-63571 Gelnhausen, Germany
DOI10.1016/j.ecolind.2012.04.017
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
Funding OrganizationNational Natural Science Foundation of China [30330140, 40911130508]; Major S&T Special Project of Water Pollution Control and Management [2009ZX07528-003-04-01]; Hesse's Ministry of Higher Education, Research, and the Arts ; National Natural Science Foundation of China [30330140, 40911130508]; Major S&T Special Project of Water Pollution Control and Management [2009ZX07528-003-04-01]; Hesse's Ministry of Higher Education, Research, and the Arts ; National Natural Science Foundation of China [30330140, 40911130508]; Major S&T Special Project of Water Pollution Control and Management [2009ZX07528-003-04-01]; Hesse's Ministry of Higher Education, Research, and the Arts ; National Natural Science Foundation of China [30330140, 40911130508]; Major S&T Special Project of Water Pollution Control and Management [2009ZX07528-003-04-01]; Hesse's Ministry of Higher Education, Research, and the Arts
Indexed BySCI
Language英语
WOS Research AreaBiodiversity & Conservation ; Environmental Sciences & Ecology
WOS SubjectBiodiversity Conservation ; Environmental Sciences
WOS IDWOS:000307130300042
WOS KeywordSTREAM COMMUNITIES ; BIOTIC INTEGRITY ; SPATIAL-SCALE ; LAND-USE ; LANDSCAPE ; PREDICTION ; ASSEMBLAGES ; ECOREGIONS ; VARIABLES ; PATTERNS
Funding OrganizationNational Natural Science Foundation of China [30330140, 40911130508]; Major S&T Special Project of Water Pollution Control and Management [2009ZX07528-003-04-01]; Hesse's Ministry of Higher Education, Research, and the Arts ; National Natural Science Foundation of China [30330140, 40911130508]; Major S&T Special Project of Water Pollution Control and Management [2009ZX07528-003-04-01]; Hesse's Ministry of Higher Education, Research, and the Arts ; National Natural Science Foundation of China [30330140, 40911130508]; Major S&T Special Project of Water Pollution Control and Management [2009ZX07528-003-04-01]; Hesse's Ministry of Higher Education, Research, and the Arts ; National Natural Science Foundation of China [30330140, 40911130508]; Major S&T Special Project of Water Pollution Control and Management [2009ZX07528-003-04-01]; Hesse's Ministry of Higher Education, Research, and the Arts
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Cited Times:10[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ihb.ac.cn/handle/342005/17214
Collection淡水生态学研究中心_期刊论文
Corresponding AuthorCai, QH (reprint author), Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Hubei Province, Peoples R China.
Affiliation1.Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Hubei Province, Peoples R China
2.Biodivers & Climate Res Inst BiK F, D-63571 Gelnhausen, Germany
3.Senckenberg Res Inst, D-63571 Gelnhausen, Germany
4.Nat Hist Museum Frankfurt, Dept Limnol & Conservat, D-63571 Gelnhausen, Germany
Recommended Citation
GB/T 7714
Li, Fengqing,Cai, Qinghua,Qu, Xiaodong,et al. Characterizing macroinvertebrate communities across China: Large-scale implementation of a self-organizing map[J]. ECOLOGICAL INDICATORS,2012,23(-):394-401.
APA Li, Fengqing.,Cai, Qinghua.,Qu, Xiaodong.,Tang, Tao.,Wu, Naicheng.,...&Cai, QH .(2012).Characterizing macroinvertebrate communities across China: Large-scale implementation of a self-organizing map.ECOLOGICAL INDICATORS,23(-),394-401.
MLA Li, Fengqing,et al."Characterizing macroinvertebrate communities across China: Large-scale implementation of a self-organizing map".ECOLOGICAL INDICATORS 23.-(2012):394-401.
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