基于最小阻力模型的生态公路网络构建OA

Environmentally friendly highway alignment is crucial for advancing national ecolog-ical civilization.This study focuses on Fuzhou City as the research area and uses human footprint in-dex and morphological spatial pattern analysis to identify transportation nodes.Eight evaluation fac-tors—normalized difference vegetation index,remote sensing ecological index,carbon sequestra-tion,net primary productivity,land use type,slope,elevation,and distance to water systems—are selected to construct the resistance surface.Based on this,the minimum cumulative resistance(MCR)model is applied to construct an ecological highway network.The results indicate that:(1)Human activities in Fuzhou City are primarily concentrated in the southeastern coastal areas,while the western region exhibits small-scale clusters and widely dispersed distribution;(2)The overall comprehensive resistance of Fuzhou City shows a west-high,east-low trend;(3)The ecological highway network extracted using the MCR model presents a crisscrossed,irregular"fishing net"structure,including 16 nodes,120 routes,and a total length of approximately 2001 km;(4)Ec-ological cost analysis based on 1000 m×1000 m grid units reveals that the average ecological cost of the ecological highway network(5.457)is lower than that of the existing road network(5.801).The findings provide a scientific basis for ecological highway alignment and offer valuable references for green infrastructure planning in other ecologically sensitive areas.