Land Suitability Assessment Dataset for Glycyrrhiza uralensis Fisch. in Xinjiang Uygur Autonomous Region of China
ZHANG Ping1,2YU Xiangxiang1,2CHANG Cun1,2MA Qiang3WANG Long3FAN 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，China3 Tarim Oilfield branch of China National Petroleum Corporation，Korla 841000，China
DOI:10.3974/geodb.2025.02.03.V1
Published:Feb. 2025
Visitors：609 Data Files Downloaded：4
Data Downloaded：0.89 MB Citations：
Key Words：
Xinjiang,Glycyrrhiza uralensis Fisch.,land suitability,assessment,spatial distribution
Abstract：
The Land Suitability Assessment Dataset for Glycyrrhiza uralensis Fisch. 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 Glycyrrhiza uralensis Fisch. 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 Glycyrrhiza uralensis Fisch. in Xinjiang Uygur Autonomous Region of China was simulated using GIS under current climate conditions. The dataset includes: (1) land suitability assessment data for Glycyrrhiza uralensis Fisch. in Xinjiang, with spatial resolution of 30"; (2) coordinate points of Glycyrrhiza uralensis Fisch. in Xinjiang (Cited data). The dataset is archived in .shp, .tif, .xlsx and .txt data formats, and consists of 16 data files with data size of 313 KB (Compressed into one file with 227 KB).
Foundation Item：
Xinjiang Uygur Autonomous Region, China (2022B03030)
Data Citation：
ZHANG Ping, YU Xiangxiang, CHANG Cun, MA Qiang, WANG Long, FAN Jinglong*. Land Suitability Assessment Dataset for Glycyrrhiza uralensis Fisch. in Xinjiang Uygur Autonomous Region of China[J/DB/OL]. Digital Journal of Global Change Data Repository, 2025. https://doi.org/10.3974/geodb.2025.02.03.V1.
References：
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[2] Phillips, S. J., Dudik, M. Modeling of species distributions with MaxEnt: New extensions and a comprehensive evaluation [J]. Ecography, 2008, 31(2): 161-175.
[3] Tarnian, F., Kumar, S., Azarnivand, H., et al. Assessing the effects of climate change on the distribution of Daphne mucronata in Iran [J]. Environmental Monitoring and Assessment. 2021, 193(9): 562.
[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 |
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| 1 |
Glycyrrhiza_uralensis_Fisch._XJSuitable.rar |
227.68KB |
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