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![]() ![]() ![]() |
刊名 | ECOLOGICAL INDICATORS
![]() |
出版日期 | 2018-11-01 |
卷号 | 94页码:482-490 |
关键词 | Biodiversity Landscape gradient model Large dam Manipulated flooding Surface metrology Yangtze River |
ISSN号 | 1470-160X |
DOI | 10.1016/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 |
WOS记录号 | WOS:000452692500048 |
出版者 | ELSEVIER SCIENCE BV |
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
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。