Spatial-temporal Variation Characteristics and Influencing Factors of Cultivated Land Multi-function in Anhui Province
It is of great significance for ensuring food security,promoting the protection and sustainable use of cultivated land resources to quantitatively analysis the multifunctional spatiotemporal differentiation pattern and its changing characteristics of cultivated land in Anhui Province,and reveal relevant influencing factors.The methods,such as entropy method,GIS spatial visualization analysis,and grey correlation degree method,are used in this paper to study the spatiotemporal differentiation and influencing factors of multifunctional farmland from 2000 to 2020 in Anhui Province.The results of this study indicate that:(1)The trend of changes in various functions of cultivated land is not the same,with a significant increase in grain production and economic contribution functions year by year,while ecological maintenance functions and social security functions are gradually showing a downward trend;(2)There are significant differences in the spatial distribution of multifunctional farmland,with high levels of grain production functions distributed in the northern Anhui plain,high levels of economic contribution functions mainly distributed in the southern Anhui mountainous areas,high levels of ecological maintenance functions located in the Yangtze River plain,and high levels of social security functions mainly located in the Yangtze River plain and southern Anhui mountainous areas;(3)The main influencing factors are shifting from natural geographical conditions such as per capita arable land area and land reclamation rate to social,economic,and agricultural technological conditions such as urbanization rate,per capita disposable income of rural residents,and total driving force of agricultural mechanization.The above results provide important theoretical support to formulate regional differentiation and diversification policies for farmland protection and utilization in Anhui Province.
Farmland multi-functionSpatiotemporal differentiationInfluencing factorsAnhui Province
NETL
NSTL
万方数据
