Spatial Conflict Identification and Multi-Scenario Optimization of Forest-Dominated Ecological Landscapes in a Coal-Resource-Exhausted City: A Case Study of Xinqiu District, Fuxin

Coal-resource-exhausted cities face severe spatial conflicts between mining land redevelopment, urban sprawl, agricultural expansion, and ecological restoration, necessitating optimized spatial planning of forest-dominated ecological landscapes. This study constructs an ecology-prioritized identification and multi-scenario optimization framework for forest landscapes in resource-depleted urban fringes, taking Xinqiu District, Fuxin City, China, as a representative case. Coupling the Analytic Hierarchy Process and Entropy Weight Method, a mining-adapted Ecological Protection Importance (EPI) evaluation system was established. Results indicated that geological hazard sensitivity exerted the highest weighting dominance (w6=0.2322) in EPI, establishing an Ecological Priority Control Zone covering 47.86% (6782.04 ha) of the district. Spatial dual-conflict mapping revealed a conflict footprint of 1493.82 ha, heavily dominated by Ecological-Urban/Mining Conflicts (1156.95 ha). Multi-scenario simulation via Fragstats 4.2 demonstrated that Option A (ecology priority-agriculture secondary) achieved the highest landscape score (0.8870), effectively maximizing network cohesion (COHESION = 99.3911) and restoring natural fractal boundary geometry (PAFRAC = 1.4760). The “southern conservation, central remediation, and river corridor connectivity” zonal strategy provides a science-based decision tool for forest network reconstruction in resource-exhausted cities.