Analysis of the Spatial Pattern of Cultivated Land in Karst Mountains and Its Influencing Factors——Take Weining Yi Hui Miao Autonomouy County as an Example
Analysis of the Spatial Pattern of Cultivated Land in Karst Mountains and Its Influencing Factors——Take Weining Yi Hui Miao Autonomouy County as an Example
This research selects Weining County,situated in a karst mountainous region,as the study area and analyzes the dynamics of non-grain cultivation in croplands for the years 2017,2019,and 2021.Through the application of the Global Moran's I index and cold-hot spot analysis,the study un-covers the evolutionary trajectory of the spatial pattern of non-grain cultivation in croplands.Addition-ally,a Geographically Weighted Regression(GWR)model is employed to examine the influencing factors.The findings reveal several key points:1)Weining Yi Hui Miao Autonomouy County exhibits an overall intensification trend in non-grain cultivation,albeit with a 4.71％reduction in the maximum non-grain cultivation rate,manifesting a spatial clustering characteristic of northwest-center-south-west;2)Substantial local clustering variations are evident in the spatial pattern of non-grain cultiva-tion in Weining Yi Hui Miao Autonomouy County.Over the three-year period,global patterns exhibit stability,while local changes are pronounced,with hotspots diminishing and cold spots initially de-creasing before increasing;3)The GWR model analysis indicates a positive correlation between the area dedicated to cash crop cultivation and the incidence of non-grain cultivation,whereas population density,total meat production,and per capita grain yield are found to be negatively associated with the rate of non-grain cultivation.
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