Nature in the Crossfire: Unveiling Environmental Destruction in Warfare Through Generative AI-Assisted Assessment

Warfare inflicts profound ecological damage that undermines global sustainability, yet the environmental costs of conflict remain critically under-assessed due to fragmented and impractical evaluation frameworks. This study presents a novel AI-powered assessment model that integrates the Driver-Pressure-State-Impact-Response (DPSIR) framework with generative AI, satellite data, and expert validation to systematically quantify ecological impacts in conflict zones. The model enables scalable, real-time evaluations of both immediate effects—such as deforestation and chemical spills—and latent risks like groundwater contamination, even in hazardous or inaccessible areas. By providing scientifically rigorous and actionable insights, this framework empowers policymakers to prioritize ecological restoration, strengthen environmental accountability, and integrate nature-based recovery strategies into post-conflict rebuilding. Positioned at the nexus of environmental science, artificial intelligence, and international governance, this work advances a transformative approach to address conflict-driven environmental degradation, aligning recovery efforts with global sustainability goals and fostering a resilient, equitable future.