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作 者:罗磊 杨子生[1] 杨人懿[2] Luo Lei;Yang Zisheng;Yang Renyi(Institute of Land&Resources and Sustainable Development,Yunnan University of Finance and Economics,Kunming 650221,China;School of Economics,Yunnan University of Finance and Economics,Kunming 650221,China)
机构地区:[1]云南财经大学国土资源与持续发展研究所,云南昆明650221 [2]云南财经大学经济学院,云南昆明650221
出 处:《国土与自然资源研究》2025年第3期15-20,共6页Territory & Natural Resources Study
基 金:国家自然科学基金项目(41261018)。
摘 要:严格控制耕地“非粮化”是当今保障国家粮食安全的重大举措。本文以广西壮族自治区为研究对象,基于GEE云平台,采用多源遥感数据并引进机器学习算法,对广西2000年、2010年和2020年三期的土地利用数据进行解译,利用空间自相关分析与地理探测器模型,探究广西各县耕地“非粮化”的地域分异特征及主要驱动因素,以期为广西差异化治理耕地“非粮化”和保护耕地提供基础依据。结果表明,广西耕地面积由2000年的66 929.00 km~2下降到2020年的63 052.90 km~2,耕地“非粮化”率由2000-2010年的25.94%上升到2010-2020年的27.48%。在空间分布上,耕地“非粮化”率较高的县主要分布在广西石漠化严重的西部山区并在广西西北部的百色市形成H-H聚类,空间集聚程度越来越强烈,耕地“非粮化”程度及其影响因素在空间上存在明显的差异性。海拔和坡度是广西耕地“非粮化”空间格局分异最重要的自然地理因素,同时社会经济因素的解释力也在逐渐上升,耕地“非粮化”是各种因素共同作用而形成的结果。Controlling cultivated land“non-grain”conversion is crucial for ensuring national food security.This study,conducted in Guangxi Zhuang Autonomous Region,utilized the GEE cloud platform,multi-source remote sensing data,and machine learning algorithms to analyze land use data from 2000,2010,and 2020.Spatial autocorrelation analysis and geographical detector models were applied to investigate the spatial characteristics and driving factors of cultivated land“non-grain”conversion across districts and counties,aiming to provide a basic basis for differentiated governance of“non-grain”cultivation and protection of cultivated land in Guangxi.The results revealed a decrease in cultivated land area from 66929.00 km2 in 2000 to 63052.90 km2 in 2020,with the land“non-grain”rate increasing from 25.94%to 27.48%.Interms of spatial distribution, the counties with a high rate of “non-grainification” of cultivated land are mainly distributed in the western mountainous areas Guangxi, which are seriously affected by rock desertification, and form an H-H cluster in Baise City, northwest of Guangxi. The degree of spatial aggleration is becoming increasingly strong, and there are obvious differences in the degree of “non-grainification” of cultivated land and its influencing factors in space. Altitude and slope were identified as crucial natural geographic factors, with the socio-economic factors also playing an increasingly important role. Cultivated land “non-grain” conversion is the result of the combined effects of various factors.
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