摘要
研究选取岩溶山区威宁彝族回族苗族自治县作为研究区,分析其2017年、2019年和2021年三个时间段的耕地非粮化情况.通过全局莫兰指数和冷热点分析,揭示了耕地非粮化空间格局的演化,并利用地理加权回归模型研究了影响因素.结果显示,1)威宁彝族回族苗族自治县耕地非粮化整体呈增强趋势,但最大非粮化率下降了4.71%,空间上表现为西北—中部—西南的聚集特征;2)威宁彝族回族苗族自治县耕地非粮化空间格局的局部聚集差异明显.研究期间全局变化稳定,局部变化显著,热点逐年减少,冷点先减后增;3)地理加权回归模型分析表明,经济作物种植面积与非粮化正相关,而人口密度、肉类总产量、人均粮食产量与非粮化率负相关.
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 uncovers the evolutionary trajectory of the spatial pattern of non-grain cultivation in croplands.Additionally,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-southwest;2)Substantial local clustering variations are evident in the spatial pattern of non-grain cultivation 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 decreasing 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.
作者
耿秘
刘艳
吴冉
覃文艺
郑朋飞
GENG Mi;LIU Yan;WU Ran;QIN Wenyi;ZHENG Pengfei(School of Geography and Environmental Sciences,Guizhou Normal University,Guiyang 550025,China)
出处
《云南师范大学学报（自然科学版）》
2024年第4期64-70,共7页
Journal of Yunnan Normal University:Natural Sciences Edition
基金
国家社会科学基金资助项目(19BGL180).
关键词
岩溶山区
耕地非粮化
影响因素
乡村振兴
Karst mountainous area
Farmland non-grain
Influencing factors
Rural revitalization
