Planning the Restoration of Unused Forest Roads Under Fire Risk

This poster presents a stochastic extension of a Mixed-Integer Linear Programming (MILP) framework for prioritizing the restoration of abandoned forest roads under wildfire risk. Building on a deterministic carbon-optimization model (Vega-Escobar et al. 2026, Ecological Modelling), this work integrates fire regime uncertainty through two mechanisms: a carbon survival factor and an ignition-frequency penalty. Applied to a boreal Forest Management Unit in Saguenay–Lac-Saint-Jean, Quebec (2025–2050 planning horizon), the analysis shows that survival and ignition frequency interact rather than act additively under severe fire risk, and that risk-aware restoration schedules concentrate activity earlier in the planning horizon without systematically sacrificing carbon. Poster prepared as part of a PhD dissertation chapter at the Institut de Recherche sur les Forêts, UQAT.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-24
DOI
https://doi.org/10.5281/zenodo.22083518
Primary Topic
Fire effects on ecosystems
Type
article
Field-Weighted Citation Impact
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article

Planning the Restoration of Unused Forest Roads Under Fire Risk

Osvaldo Valeria, Alejandro Vega-Escobar, Francois Girard
Zenodo (CERN European Organization for Nuclear Research)
Fire effects on ecosystems
article

Planning the Restoration of Unused Forest Roads Under Fire Risk

Osvaldo Valeria, Alejandro Vega-Escobar, Francois Girard
article en

Abstract

This poster presents a stochastic extension of a Mixed-Integer Linear Programming (MILP) framework for prioritizing the restoration of abandoned forest roads under wildfire risk. Building on a deterministic carbon-optimization model (Vega-Escobar et al. 2026, Ecological Modelling), this work integrates fire regime uncertainty through two mechanisms: a carbon survival factor and an ignition-frequency penalty. Applied to a boreal Forest Management Unit in Saguenay–Lac-Saint-Jean, Quebec (2025–2050 planning horizon), the analysis shows that survival and ignition frequency interact rather than act additively under severe fire risk, and that risk-aware restoration schedules concentrate activity earlier in the planning horizon without systematically sacrificing carbon. Poster prepared as part of a PhD dissertation chapter at the Institut de Recherche sur les Forêts, UQAT.

Zenodo (CERN European Organization for Nuclear Research)
Université du Québec en Abitibi-Témiscamingue (CA), Université de Montréal (CA)
Life in Land
Openalex Percentile: Top 12%
Fire effects on ecosystems
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