The rapid urbanization has led to increasingly prominent contradictions among people, biology, and cities. The construction of ecological network (EN) plays a significant role in alleviating the complex ecological contradictions within regions under the background of territorial spatial planning and improving the overall quality of natural ecosystems. However, current EN research often starts from a single, larger scale, focusing on the quality and area of habitat patches, emphasizing the basic rigid framework role of ecological networks in safety protection, and neglecting the characteristic changes and transformation rules of functions and structures between ecological network scales, which makes it difficult for EN construction to be implemented. Taking Dongyang City in Zhejiang Province as an example, this paper constructed an urban-scale EN based on Morphological Spatial Pattern Analysis (MSPA), Minimum Cumulative Resistance Model (MCR), and Gravity Model (GM), built a green space-scale EN based on current situation analysis, cognitive maps, and MCR methods, and used spatial overlay methods to achieve multi-scale construction and optimization of ENs. The results showed that (1) There were 17 locations with significant attractiveness between the urban-scale ecological sources and the green space-scale green areas. (2) There were 40 interactions between the urban-scale ecological corridors and the green space-scale green areas, with 5 locations being of significant importance and 35 being of secondary importance. (3) There was no spatial interaction between the urban-scale ecological breakpoints and the green space-scale breakpoints, but they were functionally complementary. (4) Based on the actual interaction situation, the paper further put forward the suggestions of "identifying coordination points, establishing coordination corridors, and realizing coordination zones". The study results are expected to provide complementary insights into a multi-scale method towards constructing and optimizing ENs within the context of territorial spatial planning.