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题名: Predicting fish species richness and assemblages with climatic, geographic and morphometric factors: A broad-scale study in Chinese lakes
作者: Guo, Chuanbo1, 2; Lek, Sovan1, 2; Ye, Shaowen1; Li, Wei1; Liu, Jiashou1; Chen, Yushun1, 3; Li, Zhongjie1
关键词: China ; Environmental factors ; Fish assemblages ; Lakes ; Macroecological patterns ; Prediction ; Species richness
刊名: LIMNOLOGICA
发表日期: 2015-09-01
DOI: 10.1016/j.limno.2015.08.002
卷: 54, 页:66-74
收录类别: SCI
文章类型: Article
WOS标题词: Science & Technology ; Life Sciences & Biomedicine
类目[WOS]: Limnology
研究领域[WOS]: Marine & Freshwater Biology
英文摘要: The present study was designed to investigate the relative importance of climatic (temperature and precipitation), geographic (altitude) and morphometric (lake area) factors in predicting fish species richness and assemblages in Chinese lakes at a large spatial scale. Two recursive partitioning tree-based approaches: Classification and Regression Trees (CARTs) and Multivariate Regression Trees (MRTs) were employed to generate predictive models respectively. Six fish assemblages were thus defined from the MRT model. The results indicated that lake altitude was the main determinant for predicting fish assemblages in Chinese lakes (30.43%), followed by precipitation of the driest month (10.47%), temperature annual range (3.62%) and annual mean temperature (3.15%). Validated CART model implied that precipitation of driest month, maximum temperature of warmest month and lake area were the main predictors in determining fish species richness patterns. Overall, our results indicated that the altitudinal extent and range of climatic variation was sufficient to overshadow the area effect in predicting fish species' richness and assemblages in Chinese lakes. At the macroecological scale, the effect of temperature and precipitation on fish richness and assemblages also suggests future changes in fish diversity as a consequence of climate change. (C) 2015 Elsevier GmbH. All rights reserved.
关键词[WOS]: MULTIVARIATE REGRESSION TREES ; YANGTZE-RIVER BASIN ; FRESH-WATER FISH ; DISTRIBUTION MODELS ; ENVIRONMENTAL REQUIREMENTS ; SHALLOW LAKES ; SALMONID FISH ; SAMPLE-SIZE ; PATTERNS ; TEMPERATURE
语种: 英语
项目资助者: "Special Fund for Agro-scientific Research in the Public Interest" of China(200903048 ; National Natural Science Foundation of China(30830025 ; 20130305) ; 30900182)
WOS记录号: WOS:000366078300008
ISSN号: 0075-9511
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.ihb.ac.cn/handle/342005/27452
Appears in Collections:淡水生态学研究中心_期刊论文

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作者单位: 1.Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Peoples R China
2.Univ Toulouse 3, Univ Toulouse, CNRS, EDB UMR 5174, F-31062 Toulouse 09, France
3.Univ Arkansas, Aquaculture & Fisheries Ctr, Pine Bluff, AR 71602 USA
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