[Dynamic Measurement and Multi-scenario Optimization of Urban Ecological Network Resilience]

The improvement of the resilience of ecological networks is of great significance for maintaining the health of urban ecosystems and realizing sustainable development. At present, research on the resilience of ecological networks mainly focuses on measurement analysis and optimization design, but the verification of the implementation effect of optimization is still insufficient. Based on this, taking Beijing as an example, the ecological network is identified by using morphological spatial pattern analysis and circuit theory, and the resilience of the ecological network under the dynamic perspective is evaluated. Further, based on the network topology characteristics, four differential edge-adding optimization scenarios are designed, including edge-adding of nodes connected to nodes with high betweenness centrality, edge-adding of nodes with low degree, edge-adding of nodes with low closeness centrality, and multi-centrality composite optimization, so as to quantitatively evaluate the effect of resilience improvement. The results show that: ① A total of 56 ecological source areas and 114 ecological corridors have been identified in Beijing. Spatially, they exhibited distinct clustering characteristics, with a high concentration in the west and north. ② The ecological network nodes in Beijing exhibited a structural feature of "dominant core nodes - inefficient peripheral nodes," and the network resilience showed significant dependence on attack patterns. The resilience decline rate of the random attack pattern was slower than that of the deliberate attack pattern. ③ The toughness gains of different optimization scenarios showed heterogeneous characteristics in the attack phase, with the ecological network toughness of a single optimization scenario increasing by 3%, 4%, and 3%, respectively, and the toughness of a composite optimization scenario decreasing by 2% from the pre-optimization level. The research results provide theoretical basis and practical reference for measuring and enhancing the resilience of urban ecological networks.