Cross-Reference Benchmarks for Translating the Genetic Soil Classification of China into the Chinese Soil Taxonomy

doi:10.1016/S1002-0160(06)60037-4

Pedosphere

Volume 16, Issue 2, April 2006, Pages 147-153

https://doi.org/10.1016/S1002-0160(06)60037-4 Get rights and content

ABSTRACT

Soil classification is the foundation for exchange and extension of research findings in soil science and for modern management of soil resources. This study explained database and research methodology to create a cross-reference system for translating the Genetic Soil Classification of China (GSCC) into the Chinese Soil Taxonomy (CST). With the help of the CST keys, each of the 2540 soil species in GSCC has been interpreted to its corresponding soil order, suborder, great group, and sub-group in CST. According to the methodology adopted, the assigned soil species have been linked one another to their corresponding polygons in the 1:1000000 digital soil map of China. Referencibility of each soil species between the GSCC and CST systems was determined statistically on the basis of distribution area of each soil species at a high taxon level of the two systems. The soils were then sorted according to their maximum referencibility and classified into three categories for discussion. There were 19 soil great groups in GSCC with maximum referencibility > 90% and 22 great groups between 60%–90%. These soil great groups could serve as cross-reference benchmarks. There were 19 great groups in GSCC with maximum referencibility < 60%, which could be used as cross-reference benchmarks until new and better results were available. For these soils, if the translation was made at a lower soil taxon level or on a regional basis, it would improve their referencibility enabling them to serve as new cross-reference benchmarks.

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Citation Excerpt :
We combined all soil properties and environmental data to retrieve CST-based Order, Suborder, and Group names for 284 legacy sites (Gong, 2001). The cross-reference method of GSCC and CST was used as a supplementary method to solve the problem of absent soil properties (Shi et al., 2006b). Soil texture.
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¹: Project supported by the National Natural Science Foundation of China (No. 40471081) and the Frontal Field Project of the Chinese Academy of Sciences (No. ISSASIP0201) and the Key Innovation Project of Chinese Academy of Sciences (No. KZCX3-SW-427).

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Cross-Reference Benchmarks for Translating the Genetic Soil Classification of China into the Chinese Soil Taxonomy1

ABSTRACT

Correlation of soil taxa between genetic soil classification of China and Chinese soil taxonomy on various.scales

Soils (in Chinese)

Reference to Chinese Soil Taxonomy

Soils (in Chinese)

Provisional draft for soil classification in China

Soils (in Chinese)

Neural network ensemble residual kriging application for spatial variability of soil properties

Pedosphere

Cross-Reference Benchmarks for Translating the Genetic Soil Classification of China into the Chinese Soil Taxonomy¹