OPTIMIZATION OF GREEN INFRASTRUCTURE NETWORK IN HAIDIAN DISTRICT UNDER THE BACKGROUND OF STOCK UPDATE
On account of urban habitat fragmentation, green infrastructure networks play a vital role in connecting ecological patches, improving urban biodiversity, and improving the ecological environment. Due to the complex and limited land use in highly urbanized areas, the spatial boundaries extracted through the original ecological corridor recognition method are highly subjective and difficult to implement. This study aims at developing a comprehensive method to identify suitable areas for urban ecological corridors and identifying corridor spaces with greater construction opportunities. Taking Haidian District, Beijing as an example, firstly, the MSPA method and In VEST model are integrated to identify ecological sources. Then, we tried to generate a resistance surface using multiple indicators, and potential corridor paths are extracted using circuit theory for importance classification. Then, pinch point areas are identified. Finally, a measurement and indicator system is constructed to delineate the ecological corridor range, and the potential of corridor construction is evaluated by overlaying the land use status. The results indicate that: 1) 17 ecological source areas have been identified, covering an area of 56.9 square kilometers, accounting for 13％ of the total area of Haidian District. They are mainly distributed in clusters in the western mountainous areas and the central Three Mountains and Five Gardens area, with a small amount scattered in other areas. 2) 28 potential ecological corridors with a total length of 83.9 kilometers and 12 pinch point areas are identified as stepping stone patches. The construction of corridors in the Three Mountains and Five Gardens area is the key to develop the overall ecological network of Haidian District. 3) A suitable area of 121.4 square kilometers for ecological corridors is identified, with priority restoration areas accounting for 4％ and corridor spaces with greater opportunities for restoration accounting for 56％. The research results can provide spatial guidance for the optimization and refined control of green infrastructure networks in highly urbanized areas.
Morphological landscape pattern analysiscircuit theoryurban green infrastructure networkecological sourceecological corridor
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