Integrating geospatial wildfire models to delineate landscape management zones and inform decision-making in Mediterranean areas
Financiación H2020 / H2020 Funds
Resumen: Despite the abundant firefighting resources deployed to reinforce the fire exclusion policy, extreme events continue to cause substantial losses in Mediterranean regions. These catastrophic wildfires question the merely-reactive response, while science-based decision-making advocates for a paradigm shift towards a long-term solution to coexist with fire. Comprehensive management solutions integrate multiple efforts to minimize the number of escaped wildfires in fire ignition hotspots, restrict large fire spread across the landscape, and prevent losses to valued resources and assets. This study develops a wildfire management zone (WMZ) delineation framework to inform decision-making in fire-prone Mediterranean landscapes. First, we combined modeling outcomes of wildfire occurrence, initial attack success, and wildfire transmission to communities to segment the landscape in WMZ blocks. We assumed the worst-case scenario in terms of fire simultaneity and weather conditions to implement the models. The geospatial outcomes were assembled and classified into four primary archetypes, and we then designated the most suitable risk mitigation strategies for each management unit. The WMZs included (1) comprehensive management, (2) human ignition prevention, (3) intensive fuel management, and (4) fire reintroduction areas. Finally, we downscaled within zones to assign specific management prescriptions to the different areas. The results were presented in a set of cross-scale maps to assist in designing risk management plans and raise social awareness. The methodological framework developed in this study may be valuable to help mitigate risk in fire-prone Mediterranean areas, but also in other regions in which similar total suppression policies fail to reduce catastrophic wildfire losses. © 2021 The Author(s)
Idioma: Inglés
DOI: 10.1016/j.ssci.2021.105616
Año: 2022
Publicado en: Safety Science 147 (2022), 105616 [15 pp]
ISSN: 0925-7535

Factor impacto JCR: 6.1 (2022)
Categ. JCR: OPERATIONS RESEARCH & MANAGEMENT SCIENCE rank: 16 / 86 = 0.186 (2022) - Q1 - T1
Categ. JCR: ENGINEERING, INDUSTRIAL rank: 14 / 50 = 0.28 (2022) - Q2 - T1

Factor impacto CITESCORE: 12.4 - Engineering (Q1) - Medicine (Q1) - Social Sciences (Q1)

Factor impacto SCIMAGO: 1.429 - Public Health, Environmental and Occupational Health (Q1) - Safety, Risk, Reliability and Quality (Q1) - Safety Research (Q1)

Financiación: info:eu-repo/grantAgreement/ES/MINECO/FJCI-2016-31090
Tipo y forma: Article (Published version)
Área (Departamento): Área Geografía Humana (Dpto. Geograf. Ordenac.Territ.)
Área (Departamento): Área Análisis Geográfico Regi. (Dpto. Geograf. Ordenac.Territ.)

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 Record created 2022-05-03, last modified 2024-03-19

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