【摘要】 近年来，我国耕地非粮化发展迅速，已经成为影响粮食安全的重要因素。文章基于国家粮食安全视角，构建兼顾“种植结构”和“产出结构”因素的非粮化测算体系，运用空间自相关、重心迁移模型与地理探测器综合分析粤北山区2010—2020年耕地非粮化的时空演变特征与空间分异影响机理。研究表明：(1)2010—2020年期间，在非粮作物播种面积和产量同时增加的影响下，粤北山区非粮化率从0.521增加至0.587。(2)非粮化率分布呈现“中部低、两侧高”的空间格局，且该格局在十年内持续强化，Global Moran’s I从0.359增加至0.422。(3)近十年，粤北耕地非粮化聚类特征均以“低—低聚集”为主，聚集中心为粤北中部地区。(4)随着非粮化发展，粤北山区耕地非粮化空间分异的主要影响因素不断变化，其中年光照时长、年均降雨量和人均耕地面积始终是主要影响因素。(5)非粮化各影响因素交互后的解释程度均呈现增加态势，且主要类型为双因子增加和非线性增加，其中主要影响因子的交互增强最为明显。文章在一定程度上丰富了非粮化的定量测度方式，识别了不同时期山区耕地非粮化的空间特征、主要影响因素和影响因子之间的交互作用类型，对于山区耕地非粮化测算与调控具有借鉴意义。更多还原

【Abstract】 In recent years,the rapid development of non-food cultivation of arable land in China has become an important factor affecting food security. Based on the perspective of national food security, the article constructs a measurement system of non-grain cultivation that takes into account the factors of "cultivation structure" and "output structure", and analyzes the spatial and temporal characteristics of non-food cultivation and the mechanism of spatial differentiation in the mountainous areas of northern Guangdong from 2010 to 2020 by using spatial autocorrelation, gravity center migration model and geographic detector. The study shows that: 1) During 2010-2020, under the influence of the simultaneous increase in the sown area and production of non-food crops,the non-grain rate in the mountainous areas of northern Guangdong increased from 0.521 to 0.587. 2) The distribution of the non-grain rate showed a pattern of "low in the middle and high on both sides",which continued to intensify in the ten years,with Global Moran’s I increasing from0.359 to 0.422. 3) In the past ten years,the clustering characteristics of non-food cultivated land in northern Guangdong have been dominated by low-low aggregation,taking the central region of northern Guangdong as the aggregation center.4) With the development of non-grain,the main influencing factors of spatial differentiation of non-grain of arable land in mountainous areas of northern Guangdong have been changing, among which the annual light hours, annual average rainfall and per capita arable land area have always been the main influencing factors. 5) The explanation degree after the interaction of each influencing factor of non-grain showed an increasing trend, and the main types were two-factor increase and non-linear increase, in which the interaction enhancement of the main influencing factors was the most obvious. The article enriches the quantitative measurement of non-grain to a certain extent, identifies the spatial characteristics of non-grain of cultivated land in mountainous areas in different periods,the main influencing factors and the types of interactions between the influencing factors,which is of great significance for the measurement and regulation of non-grain of cultivated land in mountainous areas.更多还原