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Assessing Vegetation Dynamics and Landscape Ecological Risk on the Mainstream of Tarim River, China

文献类型：期刊论文

作者Zhang, Hui1,2,3; Xue, Lianqing1,4; Wei, Guanghui5; Dong, Zengchuan1; Meng, Xianyong6
刊名WATER
出版日期2020-08-01
卷号12期号:8页码:22
关键词vegetation coverage driving factor overflow days eco-water transport landscape ecological risk Tarim River
DOI10.3390/w12082156
通讯作者Xue, Lianqing(lqxue@hhu.edu.cn)
英文摘要The Tarim River (TR), the longest inland river at an arid area in China, plays a critical role in the sustainable development of the regional ecological environment. This study presents the spatial-temporal variations in the vegetation coverage at regional and pixel scales and its driving factors on the TR mainstream. The latest dataset of normalized difference vegetation index (NDVI) and a vegetation coverage index (fc) over the period from 2000-2015 were analyzed with the unary linear regression and the partial correlation. On the basis of land use data, we further built the landscape ecological risk index and assessed the ecological risk level of the mainstream. Our results suggest that the vegetation coverage index demonstrated fluctuations but denoted a generally upward trend in the TR mainstream, the vegetation improvement areas are far greater than the degraded areas during the study period. Apparently, the overflow days in the TR mainstream and the cumulative amount of water transport are the two main factors that dominate the vegetation coverage. The ecological risk level varies throughout the TR with a high-to-low spatial distribution from upstream to downstream, and the overall landscape ecological risk of the whole basin exhibits an upward tendency. Above all, our study provides a framework with the remote sensing data to assess vegetation coverage and landscape ecological risk which can help design and implement reliable strategies for the ecological management and vegetation restoration in the Tarim River Basin.
WOS关键词LAND-COVER CHANGE ; LOWER REACHES ; GROUNDWATER DYNAMICS ; RIPARIAN VEGETATION ; WATER CONVEYANCE ; ARID REGION ; BASIN ; RESTORATION ; MANAGEMENT ; XINJIANG
资助项目National Scientific Foundation of China (NSFC)[51779074] ; National Scientific Foundation of China (NSFC)[41371052] ; Tarim River Basin Management Bureau water conservancy science and technology project[TGJAKS - SKS-2019-002] ; Ministry of Water Resources' special funds for scientific research on public causes[201501059] ; State's Key Project of Research and Development Plan[2017YFC0404304] ; Jiangsu water conservancy science and technology project[2017027]
WOS研究方向Water Resources
语种英语
WOS记录号WOS:000564686400001
出版者MDPI
资助机构National Scientific Foundation of China (NSFC) ; Tarim River Basin Management Bureau water conservancy science and technology project ; Ministry of Water Resources' special funds for scientific research on public causes ; State's Key Project of Research and Development Plan ; Jiangsu water conservancy science and technology project
源URL[http://ir.igsnrr.ac.cn/handle/311030/157900]  
专题中国科学院地理科学与资源研究所
通讯作者Xue, Lianqing
作者单位1.Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Hohai Univ Wentian Coll, Maanshan 243000, Peoples R China
5.Xinjiang Tarim River Basin Author, Korla 841000, Peoples R China
6.China Agr Univ CAU, Coll Resources & Environm Sci, Beijing 100094, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Hui,Xue, Lianqing,Wei, Guanghui,et al. Assessing Vegetation Dynamics and Landscape Ecological Risk on the Mainstream of Tarim River, China[J]. WATER,2020,12(8):22.
APA Zhang, Hui,Xue, Lianqing,Wei, Guanghui,Dong, Zengchuan,&Meng, Xianyong.(2020).Assessing Vegetation Dynamics and Landscape Ecological Risk on the Mainstream of Tarim River, China.WATER,12(8),22.
MLA Zhang, Hui,et al."Assessing Vegetation Dynamics and Landscape Ecological Risk on the Mainstream of Tarim River, China".WATER 12.8(2020):22.

入库方式： OAI收割

来源：地理科学与资源研究所

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