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[1]DUO Yang,ZHANG Daojun,YAO Shunbo.Analysis of the Driving Forces of SLCP Based on the Weights of Evidence Model—A Case Study of Wuqi, Shaanxi Province[J].Research of Soil and Water Conservation,2017,24(06):319-326.

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Analysis of the Driving Forces of SLCP Based on the Weights of Evidence Model—A Case Study of Wuqi, Shaanxi Province

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 24 Number of periods: 2017 06 Page number: 319-326 Column: Public date: 2017-11-24

Title:: Analysis of the Driving Forces of SLCP Based on the Weights of Evidence Model—A Case Study of Wuqi, Shaanxi Province

Author(s):: DUO Yang, ZHANG Daojun, YAO Shunbo; College of Economics & Management, Northwest A & F University, Yangling, Shaanxi 712100, China

Keywords:: Sloping Land Conversion Program; driving forces; the weights of evidence model; GIS remote sensing interpretation; Wuqi County

CLC:: F326.2

DOI:: -

Abstract:: Based on the data of the Landsat TM images in 2000 and 2011, the study aims to use the weights of evidence to get two classification maps of land use and cover in Wuqi County by interpreting remote sensing and GIS technology integration space, then to search the evolution pattern and the driving mechanism of Sloping Land Conversion Program (SLCP) in 154 villages of Wuqi during the two years. The results showed that the area of cultivated land in Wuqi reduced significantly, while the forestland and grassland area increased obviously in the past 11 years. 84.6% of farmland was converted into forestland and grassland. The slope gradient, the distance from highway, and the per capita arable land area have the positive correlation with the distribution of SLCP; the distribution of SLCP and elevation have an inverted U-shape relationship; road density and the distribution of SLCP are negatively correlated, which is not significant; the area of SLCP in sunny slop is greater than in shady slop; the distance to rural roads has no significant effect on the distribution of SLCP. Among the variables related to meteorological data, annual average relative humidity and SLCP are invertedly U-shaped correlated, and 20-20 average annual precipitation and the distribution of SLCP are positively correlated.

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