Study on Spatial-temporal Evolution and Driving Factors of Cultivated Land Multifunctional Coupling Coordination Development in Anhui Province
Taking Anhui Province as the study area,this paper establishes the evaluation index system of cultivated land multi-function,applies the coupling and coordination degree model and gray relational analysis model,to analyze the spatial and temporal evolution characteristics,coupling and coordination degree and driving factors of cultivated land multi-function in 16 prefecture-level cities in Anhui Province.Results show that:(1)From 2010 to 2020,there are regional differences in the production,social and ecological functions of cultivated land in Anhui Province,and the production and ecological function of cultivated land in Anhui Province tend to be enhanced,while the social function of cultivated land tends to be weakened.(2)From 2010 to 2020,the level of coupling and coordination of cultivated land in Anhui Province tends to increase and then decrease,but the rate of decrease is relatively small,and the overall level of coordination is at a harmonious level,and the"production-social-ecological"functions of cultivated land tend to develop in a harmonious way.(3)The coordination of multifunctional coupling of cultivated land in Anhui Province is influenced by the per capita disposable income of rural residents,per capita consumption expenditure of rural households,rural employees,the proportion of output value of the primary industry and secondary industry,the number of industrial enterprises above the scale,the urbanization rate of population and the area of urban roads.However,the main driving factors gradually transition from farmers'living standards and the level of agricultural development to the level of industrial development from 2015 onwards.The results of the study can provide a basis for improving the comprehensive benefits of cultivated land utilization and promoting optimal management of cultivated land.
cultivated land multi-functioncoupling coordination developmentgray relational analysis modelAnhui Province
NETL
NSTL
万方数据
维普
