Yearly Dataset on Ecological Vulnerability in the Wuliangsu Lake and Its Surrounding Area (2000-2020)
LI Yunfan1,2LI Caixia1,2JIA Xiang1,2WU Jing1,2ZHANG Xiaoli*1,2MEI Xiaoli3ZHU Ruoning3WANG Dong3
1 The Key Laboratory for Silviculture and Conservation of Ministry of Education，Beijing Forestry University，Beijing 100083，China2 Precision Forestry Key Laboratory of Beijing，Beijing 100083，China3 The Third Construction Co.，Ltd. of China Construction First Bureau Group，Beijing 100161，China
DOI:10.3974/geodb.2023.11.06.V1
Published:Nov. 2023
Visitors：2439 Data Files Downloaded：29
Data Downloaded：32243.21 MB Citations：
Key Words：
Wuliangsu Basin,ecological vulnerability,long time series
Abstract：
The Wuliangsu Lake and its surrounding area is in the western part of Inner Mongolia, China. Its geolocation is between 106°24′23″ E and 109°48′13″ E, 40°11′18″ N and 41°14′44″ N, with an area of about 1.47x104 km². Based on the Google Earth engine platform, we constructed an ecological vulnerability evaluation index dataset through the SRP model. In order to avoid the influence of the water in the study area on other indicators, all the original data were masked using the land cover data in 2020. In addition, this dataset has been standardized with a range of [0, 1]. The smaller the value, the lower the ecological vulnerability is, and vice versa. The spatial resolution of the ecological vulnerability is 30 m. The dataset is archived in .shp and .tif formats, and consists of 71 data files with data size of 4.1 GB (Compressed to one file with 1.08 GB). The analysis paper based on the dataset was published in Journal of Geo-information Science, Vol. 25, No. 10, 2023.
Foundation Item：
China State Construction Engineering Corporation (CSCEC-2020-Z-5); Ministry of Science and Technology of the P. R. China (59257, 2021YFE0117700)
Data Citation：
LI Yunfan, LI Caixia, JIA Xiang, WU Jing, ZHANG Xiaoli*, MEI Xiaoli, ZHU Ruoning, WANG Dong. Yearly Dataset on Ecological Vulnerability in the Wuliangsu Lake and Its Surrounding Area (2000-2020)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2023. https://doi.org/10.3974/geodb.2023.11.06.V1.
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Data Product:
| ID |
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| 1 |
EcoVulWuliangsuLake2000-2020.rar |
1138519.02KB |
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