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.
Authors
- Osvaldo Valeria (ORCID: https://orcid.org/0000-0002-9921-7474)
- Alejandro Vega-Escobar (ORCID: https://orcid.org/0009-0006-5918-2859)
- Francois Girard
Institutions
- Université du Québec en Abitibi-Témiscamingue (CA)
- Université de Montréal (CA)
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
- 0.00