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Research Project

Strategic Project - UI 152 - 2013-2014

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Addressing Wildfire Risk in a Landscape-Level Scheduling Model: An Application in Portugal
Publication . Ferreira, Liliana; Constantino, Miguel F.; Borges, José G.; Garcia-Gonzalo, Jordi
The paper presents and discusses research aiming at the development of a forested landscape management scheduling model that may address the risk of wildfires. A general indicator is built from wildfire occurrence and damage probabilities to assess stand-level resistance to wildfires. This indicator is developed to further address the specificity of each stand configuration (e.g., shape and size) and spatial context (neighboring stands characteristics). The usefulness of the development of such an indicator is tested within a mixed integer programming (MIP) approach to find the location and timing of management options (e.g., fuel treatment, thinning, clearcut) that may maximize the forested landscape expected net revenues. The Leiria National Forest, a Portuguese forest in central Portugal, was used as a case study. Results suggest that the proposed approach may help integrate wildfire risk in forested landscape management planning and assess its impact on the optimal plan. Results further show that prescriptions that include fuel treatments are often chosen over others that do not include them, thus highlighting the importance of wildfire management efforts. Finally, they provide interesting insights about the role of thinnings and fuel treatment in mitigating wildfire risk.

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Keywords

Operations Research,Integer and Combinatorial Optimization,Decision Support Systems, Stochastic Optimization, Exact sciences ,Exact sciences/Mathematics

Contributors

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Funding agency

Fundação para a Ciência e a Tecnologia, I.P.

Funding programme

Financiamento de Projectos de IC&DT Estratégicos e de Interesse Público promovidos por Laboratórios Associados e Unidades de I&D - 2013 - OE

Funding Award Number

PEst-OE/MAT/UI0152/2013

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