The data comes from the Harmonized World Soil Database (HWSD) constructed by the Food and Agriculture Organization of the United Nations (FAO) and International Institute for Applied System Analysis in Vienna (IIASA), which released version 1.1 on March 26, 2009. The data resolution is 1 km. The data source in China is 1: 1 million soil data. The soil classification system used is mainly FAO-90.
The main fields of the soil property sheet include:
SU_SYM90 (name of soil in FAO90 soil classification system)
SU_SYM85 (FAO85 classification)
T_TEXTURE (top soil texture)
ROOTS: String (depth classification to the bottom of the soil with obstacles);
SWR: String (characteristics of soil water content);
ADD_PROP: Real (specific soil type in the soil unit related to agricultural use);
T_GRAVEL: Real (gravel volume percentage); T_SAND: Real (sand content);
T_SILT: Real (silt content);
T_CLAY: Real (clay content);
T_USDA_TEX: Real (USDA Soil Texture Classification);
T_REF_BULK: Real (soil bulk density);
T_OC: Real (organic carbon content);
T_PH_H2O: Real (pH)
T_CEC_CLAY: Real (cation exchange capacity of the sticky layer soil);
T_CEC_SOIL: Real (soil cation exchange capacity)
T_BS: Real (basic saturation);
T_TEB: Real (exchangeable base);
T_CACO3: Real (carbonate or lime content)
T_CASO4: Real (sulfate content);
T_ESP: Real (exchangeable sodium salt);
T_ECE: Real (conductivity).
The attribute field at the beginning of T_ indicates the upper soil attribute (0-30 cm), and the attribute field at the beginning of S_ indicates the lower layer soil attribute (30-100 cm) (FAO 2009).
This data provides model input parameters for Earth system modelers, and in agricultural perspective, it can be used to study eco-agricultural divisions, food security, and climate change.
1. FAO, IIASA, ISRIC, ISS-CAS, JRC, 2009. Harmonized World Soil Database (version1.1). FAO, Rome, Italy and IIASA, Laxenburg, Austia.(View Details)Cite as:
Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.
1.Fischer, G., Nachtergaele, F., Prieler, S., van Velthuizen, H.T., Verelst, L., & Wiberg, D. (2008). Global Agro-ecological Zones Assessment for Agriculture (GAEZ 2008). IIASA, Laxenburg, Austria and FAO, Rome, Italy. (View Details )
2.Li Xin, Cheng Guodong, Wu Lizong. Digital Heihe River Basin. 1 ： An Information Infrastructure for the Watershed Science. Advances in Earth Science, 2010, 25(3): 297-305. (View Details )
3.LI Xin, WU Lizong, MA Mingguo, GE Yingchun, RAN Youhua, WANG Liangxu, NAN Zhuotong （ Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China） (View Details )
4.Li, X., Nan, Z.T., Cheng, G.D., Ding, Y.J., Wu, L.Z., Wang, L.X., Wang, J., Ran, Y.H., Li, H.X., Pan, X.D., & Zhu, Z.M. (2011). Toward an improved data stewardship and service for environmental and ecological science data in west China. International Journal of Digital Earth, 4(4): 347-359. DOI: 10.1080/17538947.2011.558123. (View Details |Download)
5.FAO, IIASA, ISRIC, ISS-CAS, JRC, 2009. Harmonized World Soil Database (version1.1). FAO, Rome, Italy and IIASA, Laxenburg, Austia. (View Details )
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Resource Provider： Food and Agriculture Organization of the United Nations（FAO）