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Land Suitability Assessment Dataset for Glycyrrhiza uralensis Fisch. in Xinjiang Uygur Autonomous Region of China


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DOI:10.3974/geodb.2025.02.03.V1

Published:Feb. 2025

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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:

1.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.

Data Product:

ID Data Name Data Size Operation
Co-Sponsors

Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

The Geographical Society of China

Parteners

Committee on Data for Science and Technology (CODATA) Task Group on Preservation of and Access to Scientific and Technical Data in/for/with Developing Countries (PASTD)

Jomo Kenyatta University of Agriculture and Technology

Digital Linchao GeoMuseum