Land Suitability Assessment Dataset for Lycium ruthenicum Murray in Xinjiang Uygur Autonomous Region of China
ZHANG Ping1 ZHANG Ping2 YU Xiangxiang1,2 CHANG Cun1,2 ZHANG Heng1,2 FAN Jinglong*1,2
1 National Engineering Technology Research Center for Desert-Oasis Ecological Construction，Xinjiang Institute of Ecology and Geography，Chinese Academy of Sciences，Urumqi 830011，Xinjiang，China2 Taklimakan Desert Ecosystem Field Observation and Research Station of Xinjiang，Qiemo 841900，China
DOI:10.3974/geodb.2025.02.05.V1
Published:Feb. 2025
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Key Words：
Xinjiang,Lycium ruthenicum Murray,land suitability,assessment,spatial distribution,
Abstract：
The Land Suitability Assessment Dataset for Lycium ruthenicum Murray in Xinjiang Uygur Autonomous Region of China was developed based on Global Biodiversity Information Facility (GBIF) data, integrated with the MaxEnt model and GIS. Firstly, distribution data of Lycium ruthenicum Murray in Xinjiang were obtained from GBIF and filtered using ENMTools; Secondly, the data including 19 bioclimatic variables from WorldClim(2.1), 3 topographic variables, and 9 soil characteristics data from Harmonized World Soil Database were utilized to conduct maximum entropy modeling using the MaxEnt model. Lastly, the land suitability assessment (i.e., determination of potential suitable areas) for Lycium ruthenicum Murray in Xinjiang Uygur Autonomous Region of China was simulated using GIS under current climate conditions. The dataset includes: (1) land suitability assessment data for Lycium ruthenicum Murray in Xinjiang, with spatial resolution of 30"; (2) coordinate points of Lycium ruthenicum Murray in Xinjiang (Cited data). The dataset is archived in .shp, .tif, .xlsx and .txt data formats, and consists of 17 data files with data size of 332 KB (Compressed into one file with 247 KB).
Foundation Item：
Xinjiang Uygur Autonomous Region, China (2022B03030)
Data Citation：
ZHANG Ping, ZHANG Ping, YU Xiangxiang, CHANG Cun, ZHANG Heng, FAN Jinglong*.Land Suitability Assessment Dataset for Lycium ruthenicum Murray in Xinjiang Uygur Autonomous Region of China[J/DB/OL]. Digital Journal of Global Change Data Repository, 2025. https://doi.org/10.3974/geodb.2025.02.05.V1.
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