韩述, 郭贯成, 史洋洋, 崔久富. 基于国土空间"三线"划定与耕地质量自相关的耕地空间布局优化[J]. 农业工程学报, 2022, 38(19): 237-248. DOI: 10.11975/j.issn.1002-6819.2022.19.026
    引用本文: 韩述, 郭贯成, 史洋洋, 崔久富. 基于国土空间"三线"划定与耕地质量自相关的耕地空间布局优化[J]. 农业工程学报, 2022, 38(19): 237-248. DOI: 10.11975/j.issn.1002-6819.2022.19.026
    Han Shu, Guo Guancheng, Shi Yangyang, Cui Jiufu. Optimization of the spatial layout of arable land protection using "Three Lines" delineation of territorial spatial planning and spatial autocorrelation attributes of arable land quality[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2022, 38(19): 237-248. DOI: 10.11975/j.issn.1002-6819.2022.19.026
    Citation: Han Shu, Guo Guancheng, Shi Yangyang, Cui Jiufu. Optimization of the spatial layout of arable land protection using "Three Lines" delineation of territorial spatial planning and spatial autocorrelation attributes of arable land quality[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2022, 38(19): 237-248. DOI: 10.11975/j.issn.1002-6819.2022.19.026

    基于国土空间"三线"划定与耕地质量自相关的耕地空间布局优化

    Optimization of the spatial layout of arable land protection using "Three Lines" delineation of territorial spatial planning and spatial autocorrelation attributes of arable land quality

    • 摘要: 结合国土空间规划与耕地质量自相关属性优化耕地保护空间布局,对于耕地质量提升、保障粮食安全具有重要意义。该研究采用改进空间自相关模型,将生态环境作为耕地质量空间相关性分析框架的“第四维”,从地块尺度模拟位于“三线”内地块耕地质量指数的空间自相关性,据此提出优化耕地保护空间布局的方案。结果表明:1)高淳区高质量耕地呈现出东部集中连片、西部零散分布的特征,低质量耕地集中分布在高淳东部,各耕地自然指数均呈现出“西高东低”的特征。2)各耕地质量指数正、负相关类型分别与高、低质量耕地的空间高度吻合,均表现出较强正相关性的空间聚集特征。自然质量、利用管理、经济价值及生态环境指数的Moran’s I值分别为0.79、0.92、0.89、0.77,空间集聚性从大到小的顺序为利用管理、经济价值、自然质量与生态环境指数。3)结合国土空间规划与耕地质量自相关优化耕地布局,永久基本农田新增968.15 hm2,等级提升0.94,确定永久基本农田保护区、城镇发展缓冲区、生态环境保护区及综合调节区4个一级类与14个二级类。其中,永久基本农田保护区综合质量最优,耕地质量表现出较强的空间扩散效应,应禁止非农建设;城镇发展缓冲区耕地质量较差但区位优势突出,是城镇建设理想区;生态环境保护区耕地综合质量较差但生态优势明显,应开展生态防护工程,形成生态保护格网;综合调节区应判明耕地障碍因素的作用机理,有序开展田间整治,实现向永久基本农田的跃迁。

       

      Abstract: The “Three line” of land spatial planning and the spatial characteristics of cultivated land quality can greatly contribute to the spatial layout optimization of cultivated land protection and food security. In this study, an improved local spatial autocorrelation model was proposed to optimize the spatial layout of arable land protection using “Three line” delineation of territorial spatial planning and spatial autocorrelation attributes of arable land quality. The ecological environment served as the “fourth dimension” of the spatial correlation analysis of cultivated land quality. A plan was also presented to improve the spatial layout of cultivated land protection. The spatial autocorrelation correlation was then simulated for the natural quality, utilization management, economic value, and ecological environment index of cultivated land in the “Three line” from the plot scale. There was a positive influence on the geographical evolution of agricultural ecological landscape patterns, food safety, and farmland pollution control. The specific procedures were as follows. Firstly, some indexes were estimated to obtain the three-line delineation of land spatial planning, including the natural quality, utilization management, economic value, and ecological environment index. The plot data was collected from 1 073 soil monitoring stations in the Gaochun District, Nanjing City, Jiangsu Province of China. Secondly, the spatial correlation of each indicator was analyzed using the spatial error model of the enhanced spatial weights. Finally, a new strategy was proposed to optimize the spatial layout of cultivated land, according to the geographical association findings of permanent basic farmland, urban development boundary, and the quality of inland blocks of ecological protection red line. The results indicated: 1) Much more high-quality cultivated land was concentrated in the west and dispersed in the east, in terms of the geographical distribution of cultivated land quality. Low-quality agricultural land was more prevalent in the eastern part than in the western. The ecological environment, economic value, utilization management, and natural quality index all demonstrated the "west high, east low" features of geographical distribution. 2) Each cultivated land quality index presented a positive geographic correlation, according to the spatial autocorrelation analysis of the cultivated land quality index. Both positive and negative correlation types were quite compatible with the spatial distribution of high and low-quality cultivated land. The natural quality, utilization management, economic value, and ecological environment index all presented the Moran's I values of 0.79, 0.92, 0.89, and 0.77, respectively, all of which were the spatial aggregation features. The indexes were ranked in descending order of the Utilization Management, Economic Value, Natural Quality, and Ecological Environment Index. 3) The cultivated land was divided into 14 second-level categories and four first-level categories using the spatial correlation of the cultivated land quality, including the permanent basic farmland protection, urban development buffer, ecological environment protection, and comprehensive adjustment zone. Both the permanent basic cropland and the grade rose by 0.94. The best quality was found in the permanent basic farmland protection zone. There was a significantly positive spatial dispersion impact of each quality measure for the cultivated land protection to forbid non-agricultural building. The urban development buffer zone was the best place for urban growth, due to the low quality of the farmed land and the significant geographical benefit. The ecological environmental protection zone was utilized to carry out ecological protection in the field. An ecological red line protection grid was constructed for the outstanding ecological circumstances, especially with a relatively visible deficit in the overall quality.

       

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