Large‐scale datasets on branch and tree failures provide an indispensable statistical foundation for urban-forest risk management. Yet frequency data alone cannot fully explain when and why a particular structure fails under specific conditions. To bridge this gap, I integrate wood-physiology parameters into high-resolution finite-element models (FEM), adding quantitative mechanical insight on top of conventional statistics. Model outputs—crown stability, carbon retention, and structural service life—translate directly into highly actionable risk maps and pruning schedules. Municipal forestry teams now use these results to select typhoon-resilient species and plan preventive maintenance, while the same biomechanical principles have inspired biomimetic joints for civil-engineering structures, creating synergy between ecology and engineering. Interactive visualizations further convert dense mechanical data into intuitive narratives that guide policymakers and reassure residents, ensuring that vibrant urban canopies remain a source of safety and comfort rather than hidden risk.
