关键词: 陕西省, 耕地压力指数, 时空演变, 分异测度指数, 灰色关联, 驱动因素

Abstract: In the context of the complex international situation and novel Coronavirus pandemic, the issue of food security in China has become more important. Shaanxi province is an important agricultural production base in northwest China. It is of great significance to explore and analyze the spatialtemporal evolution characteristics and driving factors of cultivated land pressure in Shaanxi Province. This study is based on the number and distribution situation of cultivated land from 1995 to 2019 in Shaanxi, the minimum area of cultivated land per capita Smin and cultivated land pressure index P measure, to integrate the traditional difference index, establish the overall differentiation measure index of GDI, reference gravity mobile model and overall differentiation measure index of GDI describe the spatial and temporal variation characteristics of cultivated land pressure in the area. The driving factors of cultivated land pressure change were analyzed and discussed by using grey correlation analysis method. The results showed that the cultivated land area in Shaanxi province decreased firstly and then increased from 1995 to 2019. The cultivated land pressure index showed a downward trend, and remained at the level of “warning pressure” for a long time, with a small variation range. The center of cultivated land pressure in Shaanxi province was located in Guanzhong area, and moved northwestward first, then southward year by year. The spatial differentiation of cultivated land pressure in Shaanxi province was not obvious before 2003, and the state was relatively stable, and the differentiation pattern became more and more obvious after 2003. Frostfree period, precipitation, grain yield per unit, fertilizer use, income of rural residents, income of urban residents, economic development level and industrial level had significant effects on cultivated land pressure in Shaanxi Province from 1995 to 2019.

Key words: Shaanxi Province, cultivated land pressure index, spatiotemporal evolution, differentiation measure index, grey correlation, driving factors