Functional traits composition predict macrophytes community productivity along a water depth gradient in a freshwater lake
文献类型：期刊论文
| 作者 | Fu, Hui1,2; Zhong, Jiayou1; Yuan, Guixiang1; Ni, Leyi2; Xie, Ping2; Cao, Te2 |
| 刊名 | ECOLOGY AND EVOLUTION
 |
| 出版日期 | 2014-05-01 |
| 卷号 | 4期号:9页码:1516-1523 |
| 关键词 | Aquatic macrophytes community productivity community-weighted means functional diversity functional trait composition water depth gradient |
| ISSN号 | 2045-7758 |
| 通讯作者 | Zhong, JY (reprint author), Jiangxi Inst Water Sci, Jiangxi Prov Key Lab Water Resources & Environm P, Nanchang 330029, Peoples R China. |
| 中文摘要 | Functional trait composition of plant communities has been proposed as a helpful key for understanding the mechanisms of biodiversity effects on ecosystem functioning. In this study, we applied a step-wise modeling procedure to test the relative effects of taxonomic diversity, functional identity, and functional diversity on macrophytes community productivity along water depth gradient. We sampled 42 plots and 1513 individual plants and measured 16 functional traits and abundance of 17 macrophyte species. Results showed that there was a significant decrease in taxonomic diversity, functional identity (i.e., stem dry mass content, leaf [C] and leaf [N]), and functional diversity (i.e., floating leaf, mean Julian flowering date and rooting depth) with increasing water depth. For the multiple-trait functional diversity (FD) indices, functional richness decreased, while functional divergence increased with water depth gradient. Macrophyte community productivity was strongly determined by functional trait composition within community, but not significantly affected by taxonomic diversity. Community-weighted means (CWM) showed a two times higher explanatory power relative to FD indices in determining variations in community productivity. For nine of sixteen traits, CWM and FD showed significant correlations with community productivity, although the strength and direction of those relations depended on selected trait. Furthermore, functional composition in a community affected productivity through either additive or opposite effects of CWM and FD, depending on the particular traits being considered. Our results suggested both mechanisms of mass ratio and niche complementarity can operate simultaneously on variations in community productivity, and considering both CWM and FD would lead to a more profound understanding of traits-productivity relationships. |
| 英文摘要 | Functional trait composition of plant communities has been proposed as a helpful key for understanding the mechanisms of biodiversity effects on ecosystem functioning. In this study, we applied a step-wise modeling procedure to test the relative effects of taxonomic diversity, functional identity, and functional diversity on macrophytes community productivity along water depth gradient. We sampled 42 plots and 1513 individual plants and measured 16 functional traits and abundance of 17 macrophyte species. Results showed that there was a significant decrease in taxonomic diversity, functional identity (i.e., stem dry mass content, leaf [C] and leaf [N]), and functional diversity (i.e., floating leaf, mean Julian flowering date and rooting depth) with increasing water depth. For the multiple-trait functional diversity (FD) indices, functional richness decreased, while functional divergence increased with water depth gradient. Macrophyte community productivity was strongly determined by functional trait composition within community, but not significantly affected by taxonomic diversity. Community-weighted means (CWM) showed a two times higher explanatory power relative to FD indices in determining variations in community productivity. For nine of sixteen traits, CWM and FD showed significant correlations with community productivity, although the strength and direction of those relations depended on selected trait. Furthermore, functional composition in a community affected productivity through either additive or opposite effects of CWM and FD, depending on the particular traits being considered. Our results suggested both mechanisms of mass ratio and niche complementarity can operate simultaneously on variations in community productivity, and considering both CWM and FD would lead to a more profound understanding of traits-productivity relationships. |
| WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
| 类目[WOS] | Ecology |
| 研究领域[WOS] | Environmental Sciences & Ecology |
| 关键词[WOS] | ECOSYSTEM PROCESSES ; BIODIVERSITY LOSS ; CURRENT KNOWLEDGE ; SPECIES RICHNESS ; PLANT DIVERSITY ; ECOLOGY ; COMPLEMENTARITY ; SERVICES ; EVENNESS ; IMPACTS |
| 收录类别 | SCI |
| 资助信息 | National Science Foundation of China [31300398, 31270508, 41230853]; National High Technology Research and Development Program of China [2012ZX07105-004] |
| 语种 | 英语 |
| WOS记录号 | WOS:000335267000002 |
| 公开日期 | 2014-08-07 |
| 源URL | [http://ir.ihb.ac.cn/handle/342005/20011]  |
| 专题 | 水生生物研究所_淡水生态学研究中心_期刊论文 |
| 作者单位 | 1.Jiangxi Inst Water Sci, Jiangxi Prov Key Lab Water Resources & Environm P, Nanchang 330029, Peoples R China 2.Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Donghu Expt Stn Lake Ecosyst, Wuhan 430027, Peoples R China |
| 推荐引用方式 GB/T 7714 | Fu, Hui,Zhong, Jiayou,Yuan, Guixiang,et al. Functional traits composition predict macrophytes community productivity along a water depth gradient in a freshwater lake[J]. ECOLOGY AND EVOLUTION,2014,4(9):1516-1523. |
| APA | Fu, Hui,Zhong, Jiayou,Yuan, Guixiang,Ni, Leyi,Xie, Ping,&Cao, Te.(2014).Functional traits composition predict macrophytes community productivity along a water depth gradient in a freshwater lake.ECOLOGY AND EVOLUTION,4(9),1516-1523. |
| MLA | Fu, Hui,et al."Functional traits composition predict macrophytes community productivity along a water depth gradient in a freshwater lake".ECOLOGY AND EVOLUTION 4.9(2014):1516-1523. |
入库方式： OAI收割
来源：水生生物研究所
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