| Predicting fish species richness and assemblages with climatic, geographic and morphometric factors: A broad-scale study in Chinese lakes | |
| Guo, Chuanbo1,2; Lek, Sovan1,2; Ye, Shaowen1; Li, Wei1; Liu, Jiashou1; Chen, Yushun1,3; Li, Zhongjie1 | |
| 2015-09-01 | |
| Source Publication | LIMNOLOGICA
 |
| ISSN | 0075-9511 |
| Volume | 54Pages:66-74 |
| Abstract | 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. |
| Subtype | Article |
| Keyword | China Environmental Factors Fish Assemblages Lakes Macroecological Patterns Prediction Species Richness |
| DOI | 10.1016/j.limno.2015.08.002 |
| WOS Headings | Science & Technology ; Life Sciences & Biomedicine |
| Funding Organization | "Special Fund for Agro-scientific Research in the Public Interest" of China(200903048 ; "Special Fund for Agro-scientific Research in the Public Interest" of China(200903048 ; National Natural Science Foundation of China(30830025 ; National Natural Science Foundation of China(30830025 ; 20130305) ; 20130305) ; 30900182) ; 30900182) ; "Special Fund for Agro-scientific Research in the Public Interest" of China(200903048 ; "Special Fund for Agro-scientific Research in the Public Interest" of China(200903048 ; National Natural Science Foundation of China(30830025 ; National Natural Science Foundation of China(30830025 ; 20130305) ; 20130305) ; 30900182) ; 30900182) |
| Indexed By | SCI |
| Language | 英语 |
| WOS Research Area | Marine & Freshwater Biology |
| WOS Subject | Limnology |
| WOS ID | WOS:000366078300008 |
| WOS Keyword | MULTIVARIATE REGRESSION TREES ; YANGTZE-RIVER BASIN ; FRESH-WATER FISH ; DISTRIBUTION MODELS ; ENVIRONMENTAL REQUIREMENTS ; SHALLOW LAKES ; SALMONID FISH ; SAMPLE-SIZE ; PATTERNS ; TEMPERATURE |
| Funding Organization | "Special Fund for Agro-scientific Research in the Public Interest" of China(200903048 ; "Special Fund for Agro-scientific Research in the Public Interest" of China(200903048 ; National Natural Science Foundation of China(30830025 ; National Natural Science Foundation of China(30830025 ; 20130305) ; 20130305) ; 30900182) ; 30900182) ; "Special Fund for Agro-scientific Research in the Public Interest" of China(200903048 ; "Special Fund for Agro-scientific Research in the Public Interest" of China(200903048 ; National Natural Science Foundation of China(30830025 ; National Natural Science Foundation of China(30830025 ; 20130305) ; 20130305) ; 30900182) ; 30900182) |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ihb.ac.cn/handle/342005/27452 |
| Collection | 淡水生态学研究中心_期刊论文 |
| Affiliation | 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 |
| Recommended Citation GB/T 7714 | Guo, Chuanbo,Lek, Sovan,Ye, Shaowen,et al. Predicting fish species richness and assemblages with climatic, geographic and morphometric factors: A broad-scale study in Chinese lakes[J]. LIMNOLOGICA,2015,54:66-74. |
| APA | Guo, Chuanbo.,Lek, Sovan.,Ye, Shaowen.,Li, Wei.,Liu, Jiashou.,...&Li, Zhongjie.(2015).Predicting fish species richness and assemblages with climatic, geographic and morphometric factors: A broad-scale study in Chinese lakes.LIMNOLOGICA,54,66-74. |
| MLA | Guo, Chuanbo,et al."Predicting fish species richness and assemblages with climatic, geographic and morphometric factors: A broad-scale study in Chinese lakes".LIMNOLOGICA 54(2015):66-74. |
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