Rocky Mountain Research Station Publications
RMRS Online Publication - Journal
Articles, External Publications, and Special Reports
Optimising fuel treatments over time and space
Chung, Woodam; Jones, Greg; Krueger, Kurt; Bramel, Jody; Contreras, Marco. 2013. Optimising fuel treatments over time and space. International Journal of Wildland Fire. doi: http://dx.doi.org/10.1071/WF12138
Fuel treatments have been widely used as a tool to reduce catastrophic wildland fire risks in many forests around the world. However, it is a challenging task for forest managers to prioritise where, when and how to implement fuel treatments across a large forest landscape. In this study, an optimisation model was developed for long-term fuel management decisions at a landscape scale. Using a simulated annealing algorithm, the model optimises locations and timing of fuel treatments, while considering changes in forest dynamics over time, fire behaviour and spread, values at risk, and operational feasibility. The model employs the Minimum Travel Time algorithm in FlamMap and the Fire and Fuels Extension to the Forest Vegetation Simulator to assess spatial and temporal effects with and without fuel treatments. The objective function is set to minimise total expected loss from a landscape due to wildfires throughout the planning horizon. The model was applied to a 14 000-ha study landscape located on the west side of the Bitterroot Valley in Montana. Comparisons between the optimised and random solutions show that the model was able to strategically locate and schedule fuel treatments to efficiently reduce expected loss from the landscape.
Keywords: fire behaviour, fuels reduction, heuristic optimisation, minimising expected loss, minimum travel time
About PDFs: For best results, do not open the PDF in your Web browser. Right-click on the PDF link to download the PDF file directly to your computer. Click here for more PDF help.
PDF File Size: 1.6 MB
Title: RMRS Other
Publications: Optimising fuel treatments over time and space
Electronic Publish Date: September 30, 2013
Last Update: September 30, 2013
RMRS Publications | Order a publication | Contact Us