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基于系统保护理念的国土空间功能分区与管控策略

Territorial spatial functional zoning and management strategies based on systematic conservation

  • 摘要: 国土空间功能分区是构建可持续开发保护格局、提升资源利用效率的重要途径,但传统方法多侧重功能相似性识别,缺乏对生态、农业、城镇等多类管理目标及成本效益的系统统筹。该研究引入系统保护理念,构建“目标-成本-效益”协同优化的国土空间功能分区理论框架,综合运用适宜性评价、景观格局指数分析和分区优化模型(Marxan with Zones),形成由主导功能区与功能混合区构成的分区方法,并在江阴市开展实证研究。结果表明:1) 优化分区方案显著提升了自然生态系统的代表性与保护效益,乔木林地、灌木林地等关键生态系统的保护比例提升至 30% 以上。2)在满足生态保护目标的前提下,农业与城镇功能空间得到适度拓展,基本农田和城镇开发规模较现状有所增加,单位面积成本增幅保持在 10% 以内,体现出较强的综合效益。3)优化方案在空间结构上呈现较高的集聚性与协调性,集约化农区聚集度由 71.21 提升至 88.5,通过功能混合区在严格保护区与城镇建设区之间构建了有效的过渡带,缓解了潜在的空间利用冲突。研究可为高冲突区域优化国土空间格局和完善主体功能区制度提供方法与实践参考。

     

    Abstract: Territorial spatial functional zoning is one of the most fundamental components to shape the sustainable development–protection patterns for the high efficiency of the land and resource use. However, the conventional zoning approaches rely largely on the identification of the functional similarity or dominant land-use attributes. It is still lacking in the systematic integration of the multiple objectives, such as ecological conservation, agricultural production, and urban development. Moreover, it is very necessary to consider the cost–benefit trade-offs in the spatial zoning decisions. Especially, the effectiveness and operability of the zoning is often required in regions with intense land-use conflicts. In this study, a theoretical framework was developed for the territorial spatial functional zoning using a “goal–cost–benefit” collaborative optimization logic, according to the systematic conservation planning. The better balance coordinated the protection targets, land-use costs, and functional benefits within a unified spatial optimization. A combination of the suitability assessment, landscape pattern index analysis, and zoning optimization (Marxan with Zones) was employed to integrate the land-use survey data, NDVI-derived vegetation, point-of-interest (POI) datasets, and the socio-environmental indicators. The zoning system consisted of both dominant functional zones—including the ecological conservation, urban construction, and intensive agricultural production zones—and mixed-function zones, such as the agroforestry mixed, peri-urban agricultural, ecological recreation, and multifunctional composite zones. The hierarchical and flexible structure was represented for both single-function priorities and multifunctional land-use demands. Jiangyin City, a highly urbanized area with pronounced conflicts among ecological protection, agricultural production, and urban expansion, was selected as the empirical case in order to test the applicability of the framework. The results indicate that the optimal zoning substantially enhanced the ecological representativeness and conservation effectiveness. The protection proportions of the key ecosystem types, including the arbor forests and shrublands, increased to above 30%, indicating a significant improvement compared with the existing planning schemes. At the same time, the agricultural and urban development spaces were achieved through moderate expansion under ecological protection. The areas of the permanent prime farmland and urban development both increased, compared with the current plan. While the rise in the unit-area cost was controlled within 10%, indicating the strong overall cost-effectiveness and feasibility. The optimal zoning scheme also exhibited higher aggregation and coordination from a spatial structural perspective. The aggregation index of the intensive agricultural zone increased from 71.21 to 88.5, indicating a more compact and efficient land-use configuration. Importantly, the mixed-function zones introduced the effective transition buffers between strictly protected areas and urban construction zones, in order to avoid the potential spatial-use conflicts for the high landscape connectivity. The land-use demands were fully met to improve the resilience of the territorial spatial structure. Overall, a great contribution was also made to extend the systematic conservation planning into the territorial spatial functional zoning. The cost–benefit considerations were embedded into the zoning optimization. The empirical framework can offer practical insights to optimize the territorial spatial patterns and then refine the major function-oriented zoning, particularly in regions with high development and complex land-use conflicts.

     

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