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：533 Data Files Downloaded：16
Data Downloaded：17789.36 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.
References：
[1] Yang, J. E., Huang, X. The 30m annual land cover dataset and its dynamics in China from 1990 to 2019 [J]. Earth System Science Data, 2021, 13(8): 3907-3925.
[2] He, Q. A., Wang, M., Liu, K., et al. GPRChinaTemp1km: A high-resolution monthly air temperature data set for China (1951–2020) based on machine learning [J]. Earth System Science Data, 2022, 14(7): 3273-3292.
[3] Center for International Earth Science Information Network CIESIN Columbia University. Gridded population of the world, version 4 (GPWv4): Population density, revision 11 [DB]. 2018.
[4] Xu, X. China GDP spatial distribution kilometer grid dataset [J]. Data Registration and publishing System of Resources and Environmental Sciences Data Center, Chinese Academy of Sciences, 2017, 10: 2017121102.
[5] Zhang, W., Li, A. N. Study on the optimal scale for calculating the relief amplitude in China based on DEM [J]. Geography and Geo-Information Science, 2012, 28(4): 8-12.
[6] Cui, Y. L., Gao, X., Dong, B., et al. Landscape ecological risk assessment of county [J]. Journal of Zhejiang A&F University, 2021, 38(3): 541-551.
[7] Xie, H. L. Spatial characteristic analysis of land use eco-risk based on landscape structure: A case study in the Xingguo County, Jiangxi Province [J]. China Environmental Science, 2011, 31(4): 688-695.
[8] Jing, Y. P., Zhang, S. W., Li, Y. Ecological risk analysis of rural-urban ecotone based on landscape structure [J]. Chinese Journal of Ecology, 2008 ,27(2): 229-234.
[9] Xu, H. Q. A remote sensing urban ecological index and its application [J]. Acta Ecologica Sinica, 2013, 33(24): 7853-7862.
[10] Ali, Baig. M. H., Zhang, L. F., Shuai, T., et al. Derivation of a tasselled cap transformation based on Landsat 8 at-satellite reflectance [J]. Remote Sensing Letters, 2014, 5(5): 423-431. DOI: 10.1080/2150704x.2014.915434
[11] Xu, H. A new index for delineating built-up land features in satellite imagery [J]. International Journal of Remote Sensing, 2008, 29(14): 4269-4276. DOI: 10.1080/01431160802039957
[12] Bayannaoer Local Chronicles Compilation Committee. Bayannaoer Yearbook [M]. Beijing: Kyushu Press, 2020.
[13] Wang, Y., Hu, B. Q. Spatial and temporal differentiation of ecological vulnerability of Xijiang River in Guangxi and its driving mechanism [J]. Journal of Geo-Information Science, 2018, 20(7): 947-956.
[14] Liu, Z. Z., Wang, H., Li, N., et al. Spatial and temporal characteristics and driving forces of vegetation changes in the Huaihe River Basin from 2003 to 2018 [J]. Sustainability, 2020, 12(6): 2198.
[15] Xu, H. Q., Deng, W. H. Rationality analysis of MRSEI and its difference with RSEI [J]. Remote Sensing Technology and Application, 2022, 37(1): 1-7.
Data Product:
| ID |
Data Name |
Data Size |
Operation |
| 1 |
EcoVulWuliangsuLake2000-2020.rar |
1138519.02KB |
|