Ecological Network Optimization Based on Complex Network Theory:A Case Study of Jinan City
The rapid urban development has led to a decline in habitat quality in certain areas,accompanied by an increased degree of fragmentation.Constructing an ecological network is proposed as a solution to promote the flow of material and energy within urban habitats,thereby enhancing the ecosystem services.This study focuses on Jinan City and utilizes Multiple Scale Patch Analysis(MSPA)to analyze land use data and extract ecological source areas.By constructing a comprehensive resistance surface and combining it with the Linkage Mapper tool,potential ecological corridors are identified to establish an ecological network in Jinan City.Circuit theory is then applied to identify ecological nodes,further refining the ecological network.Subsequently,abstracting ecological nodes as points and corridors as edges,the gravitational model is used to calculate inter-corridor attraction as edge weights,imported into Gephi for topological index and betweenness centrality calculations.Ecological node weights are computed based on edge weights and degrees,and weight-degree correlation theory is applied for edge addition optimization.The robustness of the ecological network is evaluated before and after optimization under different attack scenarios.Results indicate that Jinan City's ecological network consists of 36 ecological nodes and 42 ecological corridors,primarily concentrated in the central-southern region.Optimization of the ecological network involves adding 6 ecological source areas,3 stepping stones,and 12 ecological corridors.The optimized ecological network exhibits significantly enhanced connectivity robustness,improving both stability and connectivity of the network.
ecological networkcomplex networkrobustnessblue-green space
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