中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Complex effects of landscape, habitat and reservoir operation on riparian vegetation across multiple scales in a human-dominated landscape

文献类型:期刊论文

作者Chen, Chundi1; Ma, Maohua1; Wu, Shengjun1; Jia, Junsong2; Wang, Yuncai3
刊名ECOLOGICAL INDICATORS
出版日期2018-11-01
卷号94页码:482-490
ISSN号1470-160X
关键词Biodiversity Landscape gradient model Large dam Manipulated flooding Surface metrology Yangtze River
DOI10.1016/j.ecolind.2018.04.040
通讯作者Chen, Chundi(balanced@cigit.ac.cn) ; Wu, Shengjun(wsj@cigit.ac.cn) ; Jia, Junsong(jiaaniu@jxnu.edu.cn)
英文摘要Riparian ecosystems associated with dam reservoirs, are subjected to a wide variety of stressors that alter their plant community composition and diversity patterns and affect riparian ecosystem services delivery. To enhance riverine and regional ecosystem management, the different influences of dam-induced environmental change and anthropogenic factors within and around the reservoir need to be understood across multiple scales. To elucidate the relative importance of these factors, this study examines riparian vegetation composition and structure along the Three Gorges Reservoir (China) and their responses to surrounding landscapes, habitat quality and reservoir management (three groups of influences). We recorded vegetation data in 5 x 1 m quadrats embedded in three stratified elevational zones 145-155 m, 155-165 m, and 165-175 m. Correspondence analyses were used to partition the contribution of various influences in explaining vegetation patterns at three organisational scales: site, community and individual species. Vascular plants totaled 150 species in 130 genera from 56 families. Overall, vegetation responses were idiosyncratic across the analysed scales. At the site-scale, landscape was most important in structuring communities. However, localised habitat and reservoir flooding influences have higher explanatory power at the community-scale, regardless of elevational divergence. Overall, there seem to be a general trend in the importance of variables across all analysed scales. Among the landscape factors, variables based on a landscape gradient model were much more influential than those based on the conventional patch mosaic model. Given the heavily inter-correlated nature of many variables at varying scales of human altered landscapes, the best way forward for reservoir riparian vegetation management strategies is to develop multi-scale, synthetic and location-specific approaches that may optimise conservation efforts.
资助项目National Natural Science Foundation of China[51408584] ; National Natural Science Foundation of China[2017YFC0505705] ; National Natural Science Foundation of China[41571497] ; Chongqing Science & Technology Commission[cstc2014yykfC20002] ; Chinese Academy of Sciences[Y43A370N10] ; Chinese Academy of Sciences[Y33Z172N10]
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
语种英语
出版者ELSEVIER SCIENCE BV
WOS记录号WOS:000452692500048
源URL[http://119.78.100.138/handle/2HOD01W0/7193]  
专题生态过程与重建研究中心
通讯作者Chen, Chundi; Wu, Shengjun; Jia, Junsong
作者单位1.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, 266 Fangzheng Ave, Chongqing, Peoples R China
2.Jiangxi Normal Univ, Key Lab Poyang Lake Wetland & Watershed Res, Minist Educ, Nanchang 330022, Jiangxi, Peoples R China
3.Tongji Univ, Shanghai, Peoples R China
推荐引用方式
GB/T 7714
Chen, Chundi,Ma, Maohua,Wu, Shengjun,et al. Complex effects of landscape, habitat and reservoir operation on riparian vegetation across multiple scales in a human-dominated landscape[J]. ECOLOGICAL INDICATORS,2018,94:482-490.
APA Chen, Chundi,Ma, Maohua,Wu, Shengjun,Jia, Junsong,&Wang, Yuncai.(2018).Complex effects of landscape, habitat and reservoir operation on riparian vegetation across multiple scales in a human-dominated landscape.ECOLOGICAL INDICATORS,94,482-490.
MLA Chen, Chundi,et al."Complex effects of landscape, habitat and reservoir operation on riparian vegetation across multiple scales in a human-dominated landscape".ECOLOGICAL INDICATORS 94(2018):482-490.

入库方式: OAI收割

来源:重庆绿色智能技术研究院

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