Predicting Changes in Macrophyte Community Structure from Functional Traits in a Freshwater Lake: A Test of Maximum Entropy Model | |
Fu, Hui1,2; Zhong, Jiayou1; Yuan, Guixiang1; Guo, Chunjing1; Lou, Qian1; Zhang, Wei1; Xu, Jun2; Ni, Leyi2; Xie, Ping2; Cao, Te2 | |
2015-07-13 | |
Source Publication | PLOS ONE
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ISSN | 1932-6203 |
Volume | 10Issue:7Pages:11 |
Abstract | Trait-based approaches have been widely applied to investigate how community dynamics respond to environmental gradients. In this study, we applied a series of maximum entropy (maxent) models incorporating functional traits to unravel the processes governing macro-phyte community structure along water depth gradient in a freshwater lake. We sampled 42 plots and 1513 individual plants, and measured 16 functional traits and abundance of 17 macrophyte species. Study results showed that maxent model can be highly robust (99.8%) in predicting the species relative abundance of macrophytes with observed community-weighted mean (CWM) traits as the constraints, while relative low (about 30%) with CWM traits fitted from water depth gradient as the constraints. The measured traits showed notably distinct importance in predicting species abundances, with lowest for perennial growth form and highest for leaf dry mass content. For tuber and leaf nitrogen content, there were significant shifts in their effects on species relative abundance from positive in shallow water to negative in deep water. This result suggests that macrophyte species with tuber organ and greater leaf nitrogen content would become more abundant in shallow water, but would become less abundant in deep water. Our study highlights how functional traits distributed across gradients provide a robust path towards predictive community ecology. |
Subtype | Article |
DOI | 10.1371/journal.pone.0131630 |
WOS Headings | Science & Technology |
Indexed By | SCI |
Language | 英语 |
WOS Research Area | Science & Technology - Other Topics |
WOS Subject | Multidisciplinary Sciences |
WOS ID | WOS:000358193100011 |
WOS Keyword | AQUATIC MACROPHYTES ; ECOSYSTEM PROCESSES ; COASTAL CALIFORNIA ; PLASTIC RESPONSES ; DEPTH GRADIENT ; PLANT TRAITS ; DIVERSITY ; ECOLOGY ; NUTRIENTS ; ZONATION |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.ihb.ac.cn/handle/342005/25955 |
Collection | 淡水生态学研究中心_期刊论文 |
Affiliation | 1.Jiangxi Inst Water Sci, Jiangxi Prov Key Lab Water Resources & Environm P, Nanchang, Peoples R China 2.Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Donghu Expt Stn Lake Ecosyst, Wuhan, Peoples R China |
Recommended Citation GB/T 7714 | Fu, Hui,Zhong, Jiayou,Yuan, Guixiang,et al. Predicting Changes in Macrophyte Community Structure from Functional Traits in a Freshwater Lake: A Test of Maximum Entropy Model[J]. PLOS ONE,2015,10(7):11. |
APA | Fu, Hui.,Zhong, Jiayou.,Yuan, Guixiang.,Guo, Chunjing.,Lou, Qian.,...&Cao, Te.(2015).Predicting Changes in Macrophyte Community Structure from Functional Traits in a Freshwater Lake: A Test of Maximum Entropy Model.PLOS ONE,10(7),11. |
MLA | Fu, Hui,et al."Predicting Changes in Macrophyte Community Structure from Functional Traits in a Freshwater Lake: A Test of Maximum Entropy Model".PLOS ONE 10.7(2015):11. |
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journal.pone.0131630(811KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Application Full Text |
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