A spatial optimisation model for multi-period landscape level fuel management to mitigate wildfire impacts |
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Authors: | James P Minas John W Hearne David L Martell |
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Institution: | 1. School of Mathematical and Geospatial Sciences, RMIT University, GPO Box 2476, Melbourne, VIC 3001, Australia;2. Bushfire Cooperative Research Centre, 340 Albert St., East Melbourne, VIC 3002, Australia;3. Faculty of Forestry, University of Toronto, 33 Willcocks St., Toronto, ON M5S 3B3, Canada |
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Abstract: | Elevated fuel loads are contributing to an increase in the occurrence of, and area burned by, severe wildfires in many regions across the globe. In an attempt to reverse this trend, fire and land management agencies are investing in extensive fuel management programs. However, the planning of fuel treatment activities poses complicated decision-making problems with spatial and temporal dimensions. Here, we present a mixed integer programming model for spatially explicit multi-period scheduling of fuel treatments. The model provides a flexible framework that allows for landscape heterogeneity and a range of ecological and operational considerations and constraints. The model’s functionality is demonstrated on a series of hypothetical test landscapes and a number of implementation issues are discussed. |
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Keywords: | OR in natural resources Spatial optimization Wildfire Wildland fire Fuel management Integer programming |
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