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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 PublicationPLOS ONE
ISSN1932-6203
Volume10Issue: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.

SubtypeArticle
DOI10.1371/journal.pone.0131630
WOS HeadingsScience & Technology
Indexed BySCI
Language英语
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:000358193100011
WOS KeywordAQUATIC MACROPHYTES ; ECOSYSTEM PROCESSES ; COASTAL CALIFORNIA ; PLASTIC RESPONSES ; DEPTH GRADIENT ; PLANT TRAITS ; DIVERSITY ; ECOLOGY ; NUTRIENTS ; ZONATION
Citation statistics
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ihb.ac.cn/handle/342005/25955
Collection淡水生态学研究中心_期刊论文
Affiliation1.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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