Characterizing macroinvertebrate communities across China: Large-scale implementation of a self-organizing map
文献类型：期刊论文
| 作者 | 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. |
| 刊名 | ECOLOGICAL INDICATORS
 |
| 出版日期 | 2012-12-01 |
| 卷号 | 23期号:-页码:394-401 |
| 关键词 | Macroinvertebrate Biotic Metrics Indicator Species Biogeographical Division Self-organizing Map |
| ISSN号 | 1470-160X |
| DOI | 10.1016/j.ecolind.2012.04.017 |
| 文献子类 | Article |
| 英文摘要 | 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.; 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. |
| WOS关键词 | STREAM COMMUNITIES ; BIOTIC INTEGRITY ; SPATIAL-SCALE ; LAND-USE ; LANDSCAPE ; PREDICTION ; ASSEMBLAGES ; ECOREGIONS ; VARIABLES ; PATTERNS |
| WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000307130300042 |
| 资助机构 | 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 ; 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 |
| 公开日期 | 2013-01-09 |
| 源URL | [http://ir.ihb.ac.cn/handle/342005/17214]  |
| 专题 | 水生生物研究所_淡水生态学研究中心_期刊论文 |
| 通讯作者 | Cai, QH (reprint author), Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Hubei Province, Peoples R China. |
| 作者单位 | 1.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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：水生生物研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。