Exploring the spatio-temporal differentiation characteristics and coupling coordination relationship of the composite ecosystem of urban agglomerations is of great significance for promoting the synergistic development and integration construction of urban agglomerations. This paper is based on LUCC data, DEM, temperature, precipitation and other multi-source data, taking the central Yunnan urban agglomeration as an example. The entropy weight method is first used to determine the comprehensive weights to evaluate the regional economic and social development level. Then, the InVEST (Integrated Valuation of Ecosystem Services and Trade-offs)model was used to quantitatively calculate and analyze the spatial and temporal evolution characteristics of the four ecosystem services, including water conservation, soil conservation, carbon sequestration services, and habitat quality. The coupling coordination model was used to quantitatively analyze the evolution of the coupling coordination of the composite ecosystems in the central Yunnan urban agglomeration during the period of 2010-2020, and to reveal its development law. The results show the following: ①During the study period, the socio-economic subsystems in central Yunnan urban agglomeration demonstrated an outward radiative growth from Kunming City, marked by underdeveloped sub-centers and prevalent low-level areas. ②Trends in ecosystem services varied, with water and soil conservation showing fluctuating increases, carbon sequestration remaining stable, and habitat quality declining. The integrated ecosystem services critically important zone is mainly located in the northeastern region and southwestern edge of the study area. ③Economic, social and ecological subsystems are highly coupled, with consistent overall development trends and strong interactions. ④The increase in the degree of harmonization amounted to 7.82%, with lagging subsystems varying in different degree of harmonization subregions. The study can provide a scientific basis for urban agglomerations to formulate scientific and reasonable development policies, promoting regional sustainable development and optimizing the spatial pattern of the national territory.

优化土地利用配置、缓解用地冲突、实现社会经济与生态保护协同发展是辅助规划决策、保障区域可持续发展的要点。论文耦合GMOP(grey multi-objective planning)与PLUS(patch-generating land use simulation)模型对滇中城市群2035年土地利用进行优化模拟并利用土地利用动态度、景观指数、土地利用冲突评析多情景方案，进而通过空间相关性分析探讨区域未来用地建设发展趋势与冲突分异特征。结果表明：① 该耦合模型结合多情景分析可确定权衡多目标的土地利用优化配置方案且利用NSGAⅡ(non-dominated sorting genetic algorithm II)工具求解多目标问题优于理想点法；② 双目标优化发展模式下用地评价综合更优，有利于耕地与生态保护以及土地系统的稳定发展；③ 研究区未来发展基于现状建设用地而集聚与扩张且易干扰耕地与水域，同时建设发展引起的用地侵占与动态度上升均易加剧土地利用冲突，因此区域开发须以控制建设合理扩张为前提；④ 高建设强度—高动态度—高冲突度的“昆明南—曲靖西—玉溪东”地区应作为建设重点控制区，低建设强度—低动态度—高冲突度区域易出现在城市发展交互地带，关键是提升区域发展极的发展质量与辐射能力、加强域内城市协同发展。研究可为区域可持续发展与规划决策提供理论与应用参考。

Research Purpose: The aim of this study is to investigate the spatiotemporal evolution characteristics and the driving mechanisms behind the spatial patterns of land use in economically developing river basins. Research Methods: The study employed geographic information systems, spatial autocorrelation techniques, and geographic detector methods to analyze the Hanjiang River Basin, focusing on the logical sequence of "evolution process - evolution pattern - driving mechanism" in land spatial changes. Research Findings: (1) From 2000 to 2020, the comprehensive change rates for urban, ecological, and agricultural spaces in the study area were 228%, -3%, and -1%, respectively. (2) The centroid of urban space shifted from southeast to northwest, while that of agricultural space moved from southwest to northeast. The centroid of ecological space initially shifted from northwest to southeast but then reversed. Univariate and bivariate clustering features exhibited similarities. (3) The outward migration of labor-intensive industries from the Pearl River Delta was identified as a significant factor driving the spatiotemporal evolution of land spatial patterns in the study area. Significance: This study supports the implementation of land spatial planning in economically developed regions and offers insights for coordinated development in less-developed river basins.