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Results show that warming intensifies susceptibility in existing fire-prone regions and drives the emergence of new wildfire-prone areas with no historical fire occurrence, underscore the value of incorporating climate scenarios into GIS-integrated machine learning-based wildfire susceptibility modeling and offer a spatially explicit framework for proactive mitigation and climate-resilient land-use planning.