Abstract: This project will develop a spatial decision framework to optimize spruce budworm (SBW) management. The framework balances economic and ecological resilience for varying SBW outbreak scenarios. The system will integrate forest data, SBW spread and economic modeling to simulate dynamics under different strategies. The framework will help managers identify strategies that maximize economic returns and long-term forest health. It incorporates timber and carbon market conditions, salvage harvesting feasibility, and cost-benefit trade-offs for SBW management actions. The framework will assess forest resilience by evaluating species distribution changes, biomass shifts, and carbon stock dynamics. This multi-focus ensures management decisions support both immediate financial gains and sustainability of ecosystem services critical to long-term forest productivity and resilience. Our project aligns with the NSRC’s focus on forest health and resilience, providing a scalable and practical solution to manage SBW in the Northern Forest. By using this tool, stakeholders can make informed decisions to optimize economic value, enhance forest health, and improve overall resilience. It can also be adapted for other pest management scenarios and regions by incorporating updates to host species, management strategies, pest outbreak metrics, and forest conditions. By improving pest management efficiency and identifying sustainable forest practices, this project will contribute to the resilience and productivity of the Northern Forest, providing long-term benefits for regional economies, ecosystems, and communities.