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发生分类与中国土壤系统分类的参比基准研究
作者姓名:SHI Xue-Zheng  YU Dong-Sheng  YANG Guo-Xiang  WANG Hong-Jie  SUN Wei-Xi  DU Guo-Hu  GONG Zi-Tong
作者单位:State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing210008 (China).
基金项目:中国科学院资助项目;中国科学院资助项目
摘    要: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 2 540 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 1:1000 000 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.

关 键 词:中国  土壤图  基准  地图编制  土壤分级  土壤调查
收稿时间:2005-10-17
修稿时间:2006-01-16

Cross-reference benchmarks for translating the genetic soil classification of China into the chinese soil taxonomy
SHI Xue-Zheng,YU Dong-Sheng,YANG Guo-Xiang,WANG Hong-Jie,SUN Wei-Xi,DU Guo-Hu,GONG Zi-Tong.Cross-reference benchmarks for translating the genetic soil classification of China into the chinese soil taxonomy[J].Pedosphere,2006,16(2):147-153.
Authors:SHI Xue-Zheng  YU Dong-Sheng  YANG Guo-Xiang  WANG Hong-Jie  SUN Wei-Xi  DU Guo-Hua and GONG Zi-Tong
Institution:State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008 (China). E-mail: xzshi@issas.ac.cn;State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008 (China). E-mail: xzshi@issas.ac.cn;State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008 (China). E-mail: xzshi@issas.ac.cn;State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008 (China). E-mail: xzshi@issas.ac.cn;State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008 (China). E-mail: xzshi@issas.ac.cn;State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008 (China). E-mail: xzshi@issas.ac.cn;State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008 (China). E-mail: xzshi@issas.ac.cn
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 2 540 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.
Keywords:1:1000 000 soil map of China  cross-reference benchmark  CST  GSCC  referencibility
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