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| 重庆丘陵山区耕地非粮化时空变异及驱动类型划分 |
| Spatial-temporal variation and driving types of non-grain cultivated land in hilly and mountainous areas of Chongqing |
| Received:January 04, 2023 |
| DOI：10.13254/j.jare.2023.0008 |
| 中文关键词: 耕地非粮化，空间自相关，地理探测器，分区管理，重庆市 |
| 英文关键词: non-grain cultivated land, spatial autocorrelation, geographic detector, zone management, Chongqing Municipality |
| 基金项目:国家自然科学基金项目（42177019）；重庆市教委人文社会科学研究项目（19SKGH276） |
| Author Name | Affiliation | E-mail | | XIE Yuqi | College of Resources and Environment, Southwest University, Chongqing 400715, China | | | WANG Zifang | College of Resources and Environment, Southwest University, Chongqing 400715, China | | | WANG Ying | Chongqing Bureau of Planning and Natural Resources, Chongqing 404599, China | | | ZHENG Jiebing | Chongqing Institute of Geology and Mineral Resources, Chongqing 401120, China | | | XIANG Shujiang | College of Resources and Environment, Southwest University, Chongqing 400715, China | | | GAO Ming | College of Resources and Environment, Southwest University, Chongqing 400715, China | gaoming@swu.edu.cn |
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| 中文摘要: |
| 为厘清中国西南典型丘陵山区的耕地非粮化态势和提供有针对性的管控措施，以重庆市为研究区域，基于空间自相关方法、地理探测器、主成分分析和K均值聚类等方法探究重庆市耕地非粮化驱动因素，并划分驱动类型。结果表明：2011—2020年，重庆市耕地非粮化率由37.51%上升至42.87%，中度非粮化和高度非粮化区县共增加了14个；空间聚集程度加深，高高集聚区和低高集聚区主要分布在中心城区。城乡居民人均可支配收入差距、城镇化率、各区县距中心城区距离是耕地“非粮化”主要的驱动因子，各因子交互作用以非线性增强为主，各区县距中心城区距离与城乡居民可支配收入差距两因子交互对非粮化空间格局的解释力最强。重庆市非粮化驱动类型可以分为农业生产支持型、区位经济引导型、农业生产弱化型三类，且分区结果与重庆市“一区两群”规划一致。研究结果可为重庆市耕地非粮化分区管控政策制定提供依据，同时为其他山地、丘陵地区提供借鉴。 |
| 英文摘要: |
| To clarify the distribution of non-grain arable land in typical hilly areas of southwest China, and to provide targeted control measures, the driving factors and types of cultivated land in the research area of Chongqing are explored based on spatial autocorrelation, geographic detecting, principal component analysis and K-means clustering. The results show that from 2011 to 2020, the cultivated nongrain land in Chongqing increased from 37.51% to 42.87%, and the number of moderately and highly non-grain counties increased by 14. Non-grain cultivated land showed stronger spatial aggregation, and the high and low concentration areas are mainly distributed in the central urban area. The per capita disposable income gap between urban and rural residents, the urbanization rate, and the distance between districts and counties are the main driving factors of non-grain cultivation, and the interaction between these factors is mainly nonlinear. The relationship between the distance between districts and counties and the gap between urban and rural residents ' disposable income provides the strongest explanation for the spatial pattern of non-food distribution. The non-grain driving types in Chongqing can be divided into three categories：agricultural production support, regional economic guidance, and weakening of agricultural production. The zoning results are similar to the planning of“One District and Two Groups”plan in Chongqing. The results of this study provide reference to formulate regional control policies on non-grain cultivated land in Chongqing, as well as to realize sustainable agricultural development and providing reference to understand land use in other mountainous and hilly cities. |
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