Open AccessA China data set of soil properties for land surface modeling
Author(s) -
Shangguan Wei,
Dai Yongjiu,
Liu Baoyuan,
Zhu Axing,
Duan Qingyun,
Wu Lizong,
Ji Duoying,
Ye Aizhong,
Yuan Hua,
Zhang Qian,
Chen Dongdong,
Chen Ming,
Chu Jianting,
Dou Youjun,
Guo Jianxia,
Li Haiqin,
Li Junjia,
Liang Lu,
Liang Xiao,
Liu Heping,
Liu Shuyan,
Miao Chiyuan,
Zhang Yizhou
Publication year - 2013
Publication title -
journal of advances in modeling earth systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.03
H-Index - 58
ISSN - 1942-2466
DOI - 10.1002/jame.20026
Subject(s) - soil water , soil science , environmental science , soil texture , soil map , soil carbon , digital soil mapping , biogeochemical cycle , data set , land cover , land use , soil horizon , mathematics , statistics , environmental chemistry , chemistry , ecology , biology
A comprehensive 30×30 arc‐second resolution gridded soil characteristics data set of China has been developed for use in the land surface modeling. It includes physical and chemical attributes of soils derived from 8979 soil profiles and the Soil Map of China (1:1,000,000). We used the polygon linkage method to derive the spatial distribution of soil properties. The profile attribute database and soil map are linked under the framework of the Genetic Soil Classification of China which avoids uncertainty in taxon referencing. Quality control information (i.e., sample size, soil classification level, linkage level, search radius and texture) is included to provide “confidence” information for the derived soil parameters. The data set includes 28 attributes for 8 vertical layers at the spatial resolution of 30×30 arc‐seconds. Based on this data set, the estimated storage of soil organic carbon in the upper 1 m of soil is 72.5 Pg, total N is 6.6 Pg, total P is 4.5 Pg, total K is 169.9 Pg, alkali‐hydrolysable N is 0.55 Pg, available P is 0.03 Pg, and available K is 0.61 Pg. These estimates are reasonable compared with previous studies. The distributions of soil properties are consistent with common knowledge of Chinese soil scientists and the spatial variations over large areas are well represented. The data set can be incorporated into land models to better represent the role of soils in hydrological and biogeochemical cycles in China.