FUNCTIONAL CONNECTIVITY ANALYSES AND CONSTRUCTION STRATEGIES OF THE STRUCTURE OF GREEN SPACE NETWORK IN HAIDIAN DISTRICT OF BEIJING

Abstract

Urban green space structure and pattern have been one of the highlights in Landscape Architecture studies, accompanying with urgent demands of promoting ecological spatial structures in urban construction. Focusing on functional connectivity and construction strategies of the structure of green space network in Haidian District of Beijing, this research builds resistance surface and identifies linkages through habitat quality evaluation of the InVEST Model and the simulation with the Least-Cost Model, while adopting functional connectivity index (NL, NC, IIC, PC, and dIIL) to indicate the structural characteristics of green space network at varied distance thresholds. Results reveal that, on the whole, the distance threshold of 2,200 meters is most appropriate for the structure of the existing green space network of Haidian District, when 10 components and 353 linkages are identified and six important nodes and three important linkages that require a protection priority are further determined. Findings also disclose that the forest network of target tree species and that of water network of target water bird species are highly fragmented. Forest network serves in forms of dominant patch structure, local network structure, and fragmented cluster structure in the western mountainous area, the northern plain area, and the southeastern urban area, respectively. Moreover, the research proves that by introducing ten important linkages, the connectivity of forest network can be improved by 1.7 times, completing the overall structure in multiple directions and helping form a stable and resilient structure of the network. Finally, the research puts forward strategies for urban green space construction, including identifying construction objectives and target species, identifying and protecting important nodes and important linkages, and introducing possible important linkages and improving the structure of green space network, to help efficiently improve urban ecological quality.