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引用本文:刘少坤,王嘉佳,林树高,邓诗语,陆汝成.广西边境地区耕地非农化的空间特征与迁移路径[J].中国农业资源与区划,2022,43(10):162~173
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广西边境地区耕地非农化的空间特征与迁移路径
刘少坤1,王嘉佳1,林树高1,邓诗语1,陆汝成1,2
1.南宁师范大学自然资源与测绘学院,广西南宁 530001;2.北部湾环境演变与资源利用教育部重点实验室,广西南宁 530001
摘要:
目的 耕地非农化影响1.2亿hm2(18亿亩)耕地保护红线现象引起了政府和学界的高度重视,有效掌握耕地非农化演变空间特征是保护耕地的重要前提。方法 文章以广西边境3个地级市的23个县域地区为研究区,通过构建重心模型、标准差椭圆模型分析刻画1980—2018年耕地非农化速度与方向,并利用空间自相关分析其空间特征。结果 (1)1980—2018年4个时期内耕地非农化面积呈“N”型波动增长的趋势,其中2010—2018年耕地非农化面积最大,为49 367 hm2;1990—2000年耕地非农化面积最小,为5 270 hm2,耕地非农化面积高值区主要集中在城镇化水平较高的区域城市中心。(2)耕地非农化速度具有空间非均衡性,标准差椭圆面积往东南方向持续扩张,耕地非农化空间上总体由西北部往东南方向迁移,区域之间的差距逐渐扩大。(3)广西边境地区耕地非农化面积存在显著的空间正相关关系,但集聚优势逐渐下降,“高—高”聚类的空间变化主导了耕地非农化面积的空间自相关关系的格局演变。结论 研究揭示了广西边境地区耕地非农化空间格局演变过程,可为边境地区制定耕地非农化管控机制和优化国土空间结构提供参考。
关键词:  耕地非农化  空间格局  迁移路径  标准差椭圆模型  边境地区  广西
DOI:10.7621/cjarrp.1005-9121.20221016
分类号:F301.2
基金项目:国家自然科学基金项目“‘四维度’的边境耕地多功能利用与国家战略农田划定研究——以广西边境地区为例”(42061043);广西研究生教育创新计划资助项目“基于‘三生’空间的广西边境地区土地利用格局及其多功能演变”(YCSW2021262)
THE SPATIAL FEATURES AND MIGRATION PATH OF CULTIVATED LAND NON-AGRICULTURALIZATION IN THE BORDER AREAS OF GUANGXI ZHUANG AUTONOMOUS REGION
Liu Shaokun1, Wang Jiajia1, Lin Shugao1, Deng Shiyu1, Lu Rucheng1,2
1.School of Natural Resources and Surveying and Mapping, Nanning Normal University, Nanning 530001, Guangxi, China;2.Key Laboratory of Environmental Evolution and Resource Utilization of the Ministry of Education, Beibu Gulf, Nanning 530001, Guangxi, China
Abstract:
The non-agriculturalization of cultivated land affects 0.12 billion hm2(1.8 billion mu) of cultivated land protection red line phenomenon, which has attracted great attention from the government and academia. Effectively grasping the spatial characteristics of the evolution of cultivated land non-agriculturalization is an important prerequisite for protecting cultivated land. Taking 23 counties in 3 prefecture-level cities on the border of Guangxi Zhuang Autonomous Region as the research area, the speed and direction of farmland non-agriculturalization from 1980 to 2018 were analyzed by constructing a center of gravity model and a standard deviation ellipse model, and its spatial characteristics were analyzed by using spatial autocorrelation. The results showed that:(1) From 1980 to 2018, the non-agricultural area of arable land showed a fluctuating growth trend of "N" in the four periods. Among them, the non-agricultural area of arable land was the largest from 2010 to 2018, at 49 367 hm2; from 1990 to 2000, the non-agricultural area of arable land was the smallest, at 5 270 hm2. The high-value areas of non-agricultural arable land mainly concentrated in regional urban centers with high levels of urbanization. (2) The rate of cultivated land non-agriculturalization was spatially imbalanced. The area of standard deviation ellipse continued to expand to the southeast. As a whole, the non-agriculturalization of cultivated land spatially migrated from the northwest to the southeast, and the gap between regions was gradually expanding. (3) There was a significant positive spatial correlation between the non-agricultural area of cultivated land in the border cities of Guangxi Zhuang Autonomous Region, but the agglomeration advantage gradually declined. The spatial change of "high-high" clustering dominated the evolution of the spatial autocorrelation relationship of cultivated land non-agricultural area. Therefore, the study reveals the evolution of the spatial pattern of cultivated land non-agriculturalization in the border areas of Guangxi Zhuang Autonomous Region, which can provide reference for the formulation of non-agricultural control mechanisms and optimization of the spatial structure of land in border areas.
Key words:  cultivated land non-agriculturalization  spatial pattern  migration path  standard deviation ellipse model  border areas  Guangxi Zhuang Autonomous Region
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