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Environmental and spatial drivers for wetland plant communities in a freshwater lake: Reduced coupling of species and functional turnover

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成果类型:
期刊论文
作者:
Fu, Hui*;Zhou, Ye;Yuan, Guixiang;Peng, Hui;Wu, Aiping;...
通讯作者:
Fu, Hui
作者机构:
[Wu, Aiping; Zhou, Ye; Fu, Hui; Yuan, Guixiang; Peng, Hui] Hunan Agr Univ, Dept Ecol, Coll Resources & Environm, Hunan Prov Key Lab Rural Ecosyst Hlth Dongting La, Changsha 410128, Peoples R China.
[Li, Wei] Nanchang Inst Technol, Res Inst Ecol & Environm Sci, Nanchang 330099, Jiangxi, Peoples R China.
[Jeppesen, Erik] Aarhus Univ, Dept Biosci, Vejlsovej 25, DK-8600 Silkeborg, Denmark.
[Jeppesen, Erik] Univ Chinese Acad Sci, Sino Danish Ctr Educ & Res SDC, Beijing, Peoples R China.
[Jeppesen, Erik] Middle East Tech Univ, Dept Biol Sci, Limnol Lab, Ankara, Turkey.
通讯机构:
[Fu, Hui] H
Hunan Agr Univ, Dept Ecol, Coll Resources & Environm, Hunan Prov Key Lab Rural Ecosyst Hlth Dongting La, Changsha 410128, Peoples R China.
语种:
英文
关键词:
Beta diversity;Decoupling of species and functions;Functional redundancy;Poyang Lake wetland;Spatial scale
期刊:
Ecological Engineering
ISSN:
0925-8574
年:
2021
卷:
159
页码:
106092
基金类别:
Turnover patterns in plant communities are known to be affected by both environmental gradients and geographical distance, and the importance of these factors may depend on the biodiversity facet considered and the spatial grain size of a sampling unit (Cadotte and Fukami, 2005; Barton et al. 2013; Lu et al. 2019; García-Girón et al. 2020). Here, our aim was to disentangle the influence of environment and space on the variation of wetland plant turnover facets (i.e., species and traits) at two
机构署名:
本校为第一且通讯机构
院系归属:
资源环境学院
生物科学技术学院
摘要:
Disentangling the contributions of environmental gradients and spatial distance as species distribution drivers is a crucial topic of community ecology. Here, we sampled wetland plant communities at 779 plots from 52 sites and measured 12 key functional traits of 52 plant species in Poyang Lake, China. Using the generalized dissimilarity model (GDM), we examined which environmental variables and geographic distances best predicted the variations in community turnover (Simpson dissimilarity coefficients) at two spatial scales (i.e., plot and sit...

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