A quantitative evaluation system of soil productivity for intensive agriculture in China

A system for the quantitative evaluation of soil productivity was developed and deployed in Gaoyou County, China. The study area, comprising 81,600 ha of cultivated land, was divided into 7367 evaluation units, and 19 soil properties were selected as factors for evaluation. Fuzzy analysis and expert score ranking combined with the Delphi method were used to quantify the membership functions of the evaluation factors selected. The weight contributions of individual factors to soil productivity were determined using the Delphi method and an analytic hierarchy process (AHP). A geographic information system (GIS) was used to manipulate the spatial database of the study area. This evaluation system, which differentiates between the concepts of land productivity and soil productivity, has several advantages compared with the China Agriculture Ministry Land Evaluation System (CAMLES), and can deliver detailed soil information to help decision makers and farmers identify the optimal agricultural management practices for achieving higher soil productivity and sustainable soil use. The proposed system has been accepted as the standard method for evaluating soil productivity in China.

[1]  Jayanath Ananda,et al.  The use of Analytic Hierarchy Process to incorporate stakeholder preferences into regional forest planning , 2003 .

[2]  Daniel L. Schmoldt,et al.  Using the Analytic Hierarchy Process for Decision-Making in Ecosystem Management , 1997 .

[3]  Peter A. Burrough,et al.  Fuzzy mathematical methods for soil survey and land evaluation , 1989 .

[4]  A. McBratney,et al.  Application of fuzzy sets in soil science: fuzzy logic, fuzzy measurements and fuzzy decisions , 1997 .

[5]  W. E. Riggs,et al.  The Delphi technique: An experimental evaluation , 1983 .

[6]  Reza Banai,et al.  Fuzziness in Geographical Information Systems: Contributions from the Analytic Hierarchy Process , 1993, Int. J. Geogr. Inf. Sci..

[7]  T. Oberthür,et al.  Fuzzy mapping of soil fertility — a case study on irrigated riceland in the Philippines , 1997 .

[8]  R. Brink,et al.  A framework for land evaluation , 1977 .

[9]  F. Adesina,et al.  Sustaining tree crop production under intensive land use: an investigation into soil quality differentiation under varying cropping patterns in western Nigeria , 1991 .

[10]  Rainer Marggraf,et al.  Comparative assessment of agri-environment programmes in federal states of Germany , 2003 .

[11]  H. Bdliya Complementary land evaluation for small scale farming in northern nigeria , 1991 .

[12]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[13]  C. Onofrei,et al.  Techniques of crop yield assessment for agricultural land evaluation , 1989 .

[14]  E. Van Ranst,et al.  LAND SUITABILITY CLASSIFICATION BASED ON FUZZY SET THEORY , 1991 .

[15]  Jyrki Kangas,et al.  Analyzing consistency of experts' judgments: Case of assessing forest biodiversity , 1998 .

[16]  Anthony Young,et al.  Land Quality Indicators , 1995 .