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Objective: The trade-offs and synergies of ecosystem services is an important indicator to understand the mechanism of regional ecological evolution. A large number of studies have taken administrative regions as a whole to describe the trade-offs and synergies of ecosystem services, while there is still a lack of research on the spatial heterogeneity of ecosystem services within a region and the differences in the impact of various ecosystem services. Method: In this paper, the Fenhe River Basin is taken as the study area. Based on the land use classification results of the Fenhe River Basin obtained from the remote sensing image interpretation of 1986, 1995, 2005 and 2015, as well as the statistical and other ecological data, the multi-scale geographically weighted regression model was used to analyze the trade-off and synergy between ecosystem services indicators. By combining with the land use data, the influence of land transfer on the trade-off synergy of ecosystem services was quantitatively analyzed, and the evolution mechanism of ecosystem service function was explored. Result: The research shows that: (1) Multi-scale geographically weighted regression model can solve the spatial heterogeneity existing in the trade-off synergy of ecosystem services, so as to accurately reveal the internal relationship between multiple ecosystem services; (2) Using multi-scale geographically weighted regression model to obtain the best combination of ecosystem services can effectively reduce data redundancy and improve work efficiency; (3) The change of land use class is the main driving factor for the evolution of ecosystem service trade-off synergy; (4) Vegetation degradation in the river basin will reduce the trade-off between grain production and water yield, and reduce the synergy between biological diversity and water yield, and other ecological services. (5) From 1986 to 2015, the synergistic relationship between individual ecosystem services in the basin was dominant, and the synergistic relationship between water conservation and water yield was the most significant, with an average synergistic rate of 75.6%. There was a trade-off relationship between grain production and water yield, and the trade-off relationship increased first and then decreased. Conclusion: The main innovation of this paper is to use multiscale geographically weighted regression model to solve the spatial heterogeneity of regional ecosystem services, which can reduce the analysis error caused by spatial heterogeneity. And, we found MGWR model can also obtain the optimal ecosystem service combination efficiently, which can reduce the data redundancy of ecosystem service analysis. The results can provide reference for land use optimization and ecosystem service improvement in Fenhe River Basin.