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[1]ZHANG Xing-jia,CAI Li-qun,DONG Bo.The Comprehensive Soil Fertility Evaluation Based on the Arable Land Resources Management Information System of a County[J].Research of Soil and Water Conservation,2012,19(04):138-141.

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The Comprehensive Soil Fertility Evaluation Based on the Arable Land Resources Management Information System of a County

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 19 Number of periods: 2012 04 Page number: 138-141 Column: Public date: 2012-08-20

Title:: The Comprehensive Soil Fertility Evaluation Based on the Arable Land Resources Management Information System of a County

Author(s):: ZHANG Xing-jia^1,2, CAI Li-qun^1,2, DONG Bo³; 1. Gansu Provincial Key Laboratory of Arid Land Crop Science, Lanzhou 730070, China;
2. College of Resources and Environmental Sciences, Gansu Agricultural University, Lanzhou 730070, China;
3. Gansu Provincial Academy of Agricultural Sciences, Lanzhou 730070, China

Keywords:: soil fertility; comprehensive evaluation; 3S technology

CLC:: S158

DOI:: -

Abstract:: By applying ArcGIS 9.3, MapGIS 6.7 and arable land resources management information system of a county, and synthetically using the analytic hierarchy process, fuzzy mathematics method, and intersecting digitalized the Linze County soil map, present land use map and the administrative map, the evaluation unit map was generated. The weights of evaluation factor of soil fertility were determined through the analytic hierarchy process. And the corresponding membership function for evaluation indices were established by calculating the degree of membership. The integrated soil fertility index value of each assessment unit was acquired and the grades of the soil fertility and its area were determined based on the integrated value. The results showed that the comprehensive high soil fertility area of Linze County accounted for 46.51% of the total arable land area, the medium area accounted for 18.54%, the general region was 14.17%, the area of poor soil fertility accounted for 20.68%. It can be concluded that the use of arable land resources management information system and GIS could evaluate soil fertility more quickly and efficiently compared with the traditional methods, and could also save a lot of labor power, financial resources and material resources.

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