Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, 650093, China.
Yunnan Institute of Land Resources Planning and Design, Yunnan Geological Survey, Kunming, 650051, China.
Environ Monit Assess. 2023 Sep 7;195(10):1163. doi: 10.1007/s10661-023-11716-6.
Territorial space exhibits multiple functional attributes, which comprise production, living, and ecological functions usually. Optimizing the production-living-ecological space (PLES) has become the key to territorial and spatial planning; the scientific identification of the PLES lays a foundation for space optimization and has important guiding significance in territorial spatial zoning. To achieve the integration of macro-scale and micro-scale PLES, with the Urban Agglomeration in Central Yunnan as the research area in this study, the PLES functional identification systems from the administrative unit scale and the grid scale are constructed. The types of PLES are determined by integrating qualitative and quantitative evaluation results and using an improved primacy index model from a composite spatial perspective. On that basis, the division of comprehensive zoning is achieved for land use functions through kernel density analysis. As indicated by the results, the model is capable of reflecting the macro background of the PLES functions in administrative regions while characterizing the micro differences at the grid level in administrative units. There are significant differences in the production, living, and ecological functional spaces in the Urban Agglomeration. Production functions are concentrated in the central and northeastern, living functions are concentrated in the central, and ecological functions are concentrated in the western and northeastern, with significantly consistent or complementary spatial distributions of each other. The PLES of Urban Agglomeration includes production space (PS), ecological space (ES), production-living space (P-LS), production-ecological space (P-ES), living-ecological space (L-ES), and production-living-ecological space (P-L-ES), placing a focus on ES, P-ES, and P-L-ES, which marks significant differences in spatial distribution among different spatial types. The study area is divided into 24 functional zones, which are classified into 6 categories, and optimization paths are proposed. This study will provide a reference for territorial and spatial planning in spatial functional zoning, spatial pattern optimization, and land management applications.
地域空间具有多种功能属性，通常包括生产、生活和生态功能。优化生产-生活-生态空间（PLES）已成为国土空间规划的关键；PLES 的科学识别为空间优化奠定了基础，对国土空间分区具有重要的指导意义。为了实现宏观尺度和微观尺度 PLES 的融合，本研究以滇中城市群为研究区域，构建了从行政单元尺度和网格尺度的 PLES 功能识别体系。通过综合定性和定量评价结果，并采用改进的优先指数模型，从综合空间角度确定 PLES 类型。在此基础上，通过核密度分析实现土地利用功能的综合分区。结果表明，该模型能够反映行政区域 PLES 功能的宏观背景，同时刻画行政单元网格尺度的微观差异。滇中城市群生产、生活和生态功能空间差异显著。生产功能集中在中东部和东北部，生活功能集中在中部，生态功能集中在西部和东北部，彼此之间存在明显一致或互补的空间分布。城市群 PLES 包括生产空间（PS）、生态空间（ES）、生产-生活空间（P-LS）、生产-生态空间（P-ES）、生活-生态空间（L-ES）和生产-生活-生态空间（P-L-ES），重点关注 ES、P-ES 和 P-L-ES，这标志着不同空间类型之间的空间分布存在显著差异。研究区分为 24 个功能区，分为 6 类，并提出了优化路径。本研究将为空间功能分区、空间格局优化和土地管理应用中的国土空间规划提供参考。
