Land Suitability Assessment Dataset for Hippophae rhamnoides L. in Xinjiang Uygur Autonomous Region of China
ZHANG Ping1,2YU Xiangxiang1,2CHANG Cun1,2ZHANG Heng1,2FAN 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.2025.02.07.V1
Published:Feb. 2025
Visitors：649 Data Files Downloaded：7
Data Downloaded：1.95 MB Citations：
Key Words：
Xinjiang,Hippophae rhamnoides L.,land suitability,assessment,spatial distribution
Abstract：
The Land Suitability Assessment Dataset for Hippophae rhamnoides L. 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 Hippophae rhamnoides L. 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 Hippophae rhamnoides L. in Xinjiang Uygur Autonomous Region of China was simulated using GIS under current climate conditions. The dataset includes: (1) land suitability assessment data for Hippophae rhamnoides L. in Xinjiang, with spatial resolution of 30"; (2) coordinate points of Hippophae rhamnoides L. 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 378 KB (Compressed into one file with 285 KB).
Foundation Item：
Xinjiang Uygur Autonomous Region, China (2022B03030)
Data Citation：
ZHANG Ping, YU Xiangxiang, CHANG Cun, ZHANG Heng, FAN Jinglong*. Land Suitability Assessment Dataset for Hippophae rhamnoides L. in Xinjiang Uygur Autonomous Region of China[J/DB/OL]. Digital Journal of Global Change Data Repository, 2025. https://doi.org/10.3974/geodb.2025.02.07.V1.
References：
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[4] Zhao, Z. Y., Xiao, N. W., Shen, M., et al. Comparison between optimized MaxEnt and random forest modeling in predicting potential distribution: A case study with Quasipaa boulengeri in China [J]. Science of the Total Environment, 2022, 842: 156867.
[5] Shao, M. H., Wang, L., Li, B. W., et al. MaxEnt modeling for identifying the nature reserve of Cistanche deserticola Ma under effects of the host (Haloxylon Bunge) forest and climate changes in Xinjiang, China [J]. Forests. 2022, 13(2): 189.
[6] Fang, J. Q., Shi, J. F., Zhang, P., et al. Potential distribution projections for Senegalia senegal (L.) Britton under climate change scenarios [J]. Forests, 2024, 15(2): 379.
[7] GBIF.org User. Occurrence Download [OL]. The Global Biodiversity Information Facility. 2024. https://doi.org/10.15468/dl.s9sy5y.
Data Product:
| ID |
Data Name |
Data Size |
Operation |
| 1 |
Hippophae_rhamnoides_L._XJSuitable.rar |
285.97KB |
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