Abstract:

Objective: Extract the spatial elements of various types of wetlands in in Suzhou central urban area, construct the wetland ecological network, quantitatively evaluate the resilience level of the wetland ecological network, and provide a scientific basis for the resilience measurement and spatial conservation planning of wetland ecological networks in water network city. Method: Taking the central urban area of Suzhou as an example, a water network urban wetland ecological network is constructed based on the “MSPA-Conefor-MCR-GM” model. The complex network analysis method is used to select indicators that can reflect the resilience characteristics and levels of the wetland ecological network. The resilience level of the wetland ecological network is quantitatively measured from three dimensions: structure, function, and composition, and key wetland patches and ecological corridors in the region are identified. Result: 1) 19 ecological source areas, 171 potential ecological corridors and 28 important ecological corridors were extracted from the central urban area of Suzhou, and 137 ecological nodes were identified, forming a typical network like multi cluster and multi node structural feature. Among them, ecological source areas exhibit spatial distribution characteristics of “multi center, multi cluster”, potential ecological corridors exhibit spatial distribution characteristics of“northeast-central dense network ,other regions exhibit minimal or negligible”, important ecological corridors exhibit spatial distribution characteristics of“northeast-southwest orientation, partially grid-like”, and ecological nodes form spatial distribution characteristics of “overall dispersion, local compactness”. 2) In terms of structural resilience, the average clustering coefficient of the wetland ecological network in the central urban area is 0.04, the average degree of the network is 3.12, and the scale-free characteristics are obvious. The aggregation is weak, the connectivity is average, and the structural resilience is insufficient. 3) In terms of functional resilience, the average path length, network efficiency value, average node structure hole value, and average k-core index value are 5.47, 0.19, 0.41, and 2.02, respectively. The average number of independent paths between nodes is still acceptable, and the network diversity is high. However, due to the impact of urban construction, the corridors between patches are relatively long, with insufficient transmission and stability, and weak collaboration. 4) In terms of component resilience, the node centrality range is 0?2 837.17, with an average value of 365.17, and the edge centrality range is 1?2 618.76, with an average value of 1 469.43. There are significant differences in the importance of plaques and corridors, with strong spatial heterogeneity and significant differences in component resilience levels. Conclusion: The resilience level of the wetland ecological network in the central urban area of Suzhou is generally average, with different characteristics and levels of structural resilience, functional resilience, and component resilience. The research results can serve as a baseline reference for wetland ecological protection and management in this area.

Key words: wetlands, wetland ecological network, complex network analysis method, resilience evaluation, water network city