【摘要】 [目的]探究区域“三生空间”功能耦合协调关系及影响因素，对指导区域国土空间格局优化和实现高质量可持续发展具有重要意义。[方法]以昆明市为例，在构建“三生空间”功能评价指标体系的基础上，集成熵权法、线性加权法、三元图和耦合协调度模型等方法定量测算2000—2020年5个时段昆明市“三生空间”功能耦合协调的时空特征，并采用地理探测器探究影响昆明市“三生空间”功能发展的主导因素。[结果](1) 2000—2020年昆明市生产—生活空间功能总体呈现上升趋势，生态空间功能呈现下降趋势，受政策措施、工程建设选址推动，城市功能定位发生变化，“三生空间”功能主要经历了生态—生活、生产—生活—生态优势均衡区，发现2010年是步入生产—生活—生态均衡发展的重要转折点；(2) 20年来昆明市“三生”功能耦合协调度总体浮动较小，经历了基本协调和中度协调阶段，空间上呈现“四周高、中间低”的格局；(3)影响昆明市“三生”功能耦合协调的主要因素是万人均粮食播种面积和林地面积，且因子交互后所产生的共同作用增加了对“三生”功能发展的解释力。[结论]生境质量在“三生”功能发展中稳定性较差，具有波动性。更多还原

【Abstract】 [Objective] The aims of this study are to explore the coupling and coordination relationship and influencing factors of regional production-living-ecological spaces(PLES) function, and to guide the optimization of regional land spatial pattern and realize high-quality sustainable development. [Methods] Kunming was taken as an example. Based on the construction of the evaluation index system of the spatial function of PLE, Entropy weight method, linear weighting method, ternary diagram and coupling coordination degree model were integrated to quantitatively measure the spatial and temporal characteristics of the coupling and coordination of the spatial function of PLE in Kunming from 2000 to 2020, and geographical detectors were used to explore the dominant factors affecting the development of the spatial function of PLE in Kunming. [Results](1) From 2000 to 2020, the PL space function of Kunming City showed an overall upward trend, and the ecological space function showed a downward trend. Driven by policy measures and project construction site selection, the urban function positioning changed. The PLES function mainly experienced the EL and PLE advantage equilibrium area, and it was found that 2010 was an important turning point for entering the balanced development of PLE.(2) In the past 20 years, the overall fluctuation of the functional coupling coordination degree of PLE in Kunming City had been small, and it had experienced the basic coordination and moderate coordination stages, showing a pattern of high level around and low level in the middle in space.(3) The main factors affecting the coupling and coordination of PLES functions in Kunming were the per capita sown area and forestland area, and the interaction of factors increased the explanatory power of the development of PLES functions. [Conclusion] Among them, the habitat quality is less stable and volatile in the development of PLES functions.更多还原