粮食安全视角下中国耕地“非粮化”研究进展与展望

研究目的：基于粮食安全视角，系统梳理和总结中国耕地“非粮化”研究进展，展望未来研究趋势和重点方向。研究方法：文献回顾法、对比分析法。研究结果：在研究尺度上，既有研究更多关注粮食主产区，而多尺度耦合研究尚显不足；在研究内容上，耕地“非粮化”的概念界定较为一致，但测算方法尚未达成共识，耕地“非粮化”的驱动因素及防治策略较为丰富，但就如何构建区域协调治理机制的研究尚且不足；在研究方法上，主要采用传统的统计分析和计量模型，而地理空间分析技术应用不足且多学科综合研究范式亟需完善。研究结论：未来中国耕地“非粮化”研究应着力构建全方位、多角度认知框架并采取分类化的管控策略，加强与藏粮于地、藏粮于技重大战略的协同推进，强化多尺度耦合研究完善区域协同治理机制，增强测算方式的创新与地理空间分析技术的应用，强化多学科交叉融合研究构建耕地“非粮化”研究新范式。

Progress Review on and Prospects for Non-grain Cultivated Land in China from the Perspective of Food Security

The purposes of this paper are to sort out and summarize the key research progress on non-grain cultivated land in China and to prospect for the future research trend and key directions from the perspective of food security. The research methods of literature review and comparative analysis are employed. The result shows that in terms of the research scale, the existing studies pay more attention to the main grain producing areas, while the multi-scale coupling research is still insufficient. In terms of the research content, the concept of non-grain cultivated land is relatively consistent, while the studies have not yet reached an agreement on the measurement methods. The driving factors and prevention strategies of non-grain cultivated land are relatively abundant, but the research on how to construct a coordinated governance mechanism is still insufficient. In terms of research methods, traditional statistical analysis and measurement models are mainly used, while the application of geospatial analysis technology is insufficient and the multi-disciplinary comprehensive research paradigm is in urgent need of improvement. In conclusion, in the future, the research on non-grain cultivated land in China should focus on building a comprehensive and multi-angle cognitive framework and adopt a classified management and control strategy, heighten the coordinated advancement of the major strategies of storing grain on the ground and storing grain on the technology, enhance multi-scale coupling research and improve regional cooperative governance mechanism, boost the innovation of measurement methods and the application of geospatial analysis technology, and strengthen the multidisciplinary cross-integration to build a new research paradigm.