2026-04-18T03:00:09Zhttps://recercat.cat/oai/request
oai:recercat.cat:10459.1/4691352026-03-16T19:21:03Zcom_2072_3622col_2072_479130
RECERCAT author Casados, Sara María author Rodríguez-Fernández, Sergio author Marques, Susete author Cuartas, Ana María Monsalve author Frutos , Sergio de author Coll Mir, Lluís author Borges, José G. 2025 Extreme wildfire events (EWEs) are becoming increasingly frequent in Mediterranean regions, posing significant threats to ecosystems. This study aimed to support post-fire restoration planning by developing a prioritization framework that categorizes areas according to different levels of vulnerability to the adverse impacts of EWEs. We developed a multi-criteria decision analysis (MCDA) approach to classify these areas within a fire perimeter. The process begins with the collection of available spatial data to assess the pre- and post-fire conditions. Following this, a set of criteria and sub-criteria was established through a participatory approach with local stakeholders. The analytic hierarchy process (AHP) was used to determine stakeholders’ preferences, which were then processed using the Criterium Decision Plus (CDP) version 4 software to support problem modeling. A combined consistency check was applied to ensure both individual coherence and group agreement. Finally, the methodology was integrated using the Ecosystem Management Decision Support (EMDS) software version 9, resulting in a spatial prioritization map that visually represents the levels of restoration priority and serves as a decision-support tool for post-fire restoration planning. Both the process and its results are discussed for an application to a large fire perimeter in the Vale do Sousa forested landscape.This research received funding from H2020-LCGD-2020-3/101037419, titled “FIRE-RES— Innovative technologies and socio-ecological economic solutions for fire resilient territories in Europe,” funded by the EU Horizon 2020—Research and Innovation Framework Program. This work was also funded by the Forest Research Center (UIDB/00239: Centro de Estudos Florestais and by Associate Laboratory TERRA. The Portuguese Science Foundation (FCT) also funded this research in the scope of Norma Transitória—DL57/2016/CP1382/CT15. Attribution 4.0 International info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ Post-fire Restoration Participatory Analytic hierarchy process (AHP) Geographic information system (GIS) A participatory multi-criteria approach to select areas for post-fire restoration after extreme wildfire events info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion