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This document introduces a simulation-optimization approach to design strategic fuelbreaks that protect the fire-prone forest landscapes of Alberta, Canada. By conceptualizing the forest as a fuel network graph, the authors use spatial fire growth models to map fireplains, which represent the potential directions and likelihoods of wildfire transmission between different locations. The study compares various mathematical strategies, specifically the Critical Node Detection Problem and the Critical Edge Removal Problem, to determine the most effective way to compartmentalize the landscape into isolated segments. Unlike traditional methods that only look at local hazard levels, these network-based models successfully prevent major fire spread corridors and disrupt connectivity along prevailing wind paths. This document provides a robust framework for managers to prioritize wildfire risk mitigation under limited budgets.

This paper investigates innovative harvesting and silvicultural systems designed to sustainably manage western Canada's boreal mixedwood forests, specifically focusing on the protection of immature white spruce while simultaneously enhancing deciduous regeneration. The studies were conducted in central and northern Alberta with the aim to develop cost-effective and operational methods for balancing the needs of conifer and deciduous users to maintain biodiversity and ecosystem sustainability. Key findings include the demonstration that specific equipment and techniques can significantly reduce damage to spruce during harvest, with particular emphasis on feller-buncher operations, carefully planned machine corridors, and wind buffers to mitigate blowdown.