Articles | Volume 22, issue 12
https://doi.org/10.5194/nhess-22-4019-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-22-4019-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Drivers of extreme burnt area in Portugal: fire weather and vegetation
cE3c: centre for Ecology, Evolution and Environmental changes, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal
Akli Benali
Forest Research Centre, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017 Lisbon, Portugal
Mário Pereira
Centro de Investigação e de Tecnologias Agro-Ambientais e Biológicas (CITAB), Universidade de Trás-os-Montes e Alto Douro, Vila Real, Portugal
IDL, Universidade de Lisboa, Lisbon, Portugal
João Silva
Forest Research Centre, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017 Lisbon, Portugal
João Nunes
cE3c: centre for Ecology, Evolution and Environmental changes, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal
Soil Physics and Land Management Group, Wageningen University and Research, Wageningen, the Netherlands
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Cited
12 citations as recorded by crossref.
- Remote sensing of vegetation and soil moisture content in Atlantic humid mountains with Sentinel-1 and 2 satellite sensor data A. Monteiro et al. 10.1016/j.ecolind.2024.112123
- Assessing wildfire susceptibility and driving variables in Portugal using machine learning approach V. Santana Neto et al. 10.1016/j.jnc.2025.126956
- Optimizing the Portuguese wildfire fuel reduction program A. Ager et al. 10.1016/j.crsus.2025.100361
- Mapping Long-Term Wildfire Dynamics in Portugal Using Trajectory Analysis (1975–2024) B. Barbosa et al. 10.3390/land14091872
- Spatiotemporal patterns and drivers of extreme fire severity in Spain for the period 1985–2018 A. Alvarez et al. 10.1016/j.agrformet.2024.110185
- The Influence of Wildfire Climate on Wildfire Incidence: The Case of Portugal M. Pereira et al. 10.3390/fire7070234
- Long-Term Cumulative Effects of Wildfires on Soil-Vegetation Dynamics in the “Baixa Limia–Serra do Xurés” Natural Park C. García-Redondo et al. 10.3389/sjss.2024.13103
- Multitemporal Sentinel and GEDI data integration for overstory and understory fuel type classification P. Mohammadpour et al. 10.1016/j.jag.2025.104455
- Sustaining altitude pastures in mountain landscapes–a fuzzy cognitive model approach C. Esgalhado et al. 10.1016/j.scitotenv.2024.172930
- Global assessment of historical changes in extreme fire weather: Insight from CMIP6 ensembles and implications for probabilistic attribution to global warming Z. Liu et al. 10.1016/j.gloplacha.2025.104822
- The impact of wildfires on the diet of Podarcis lusitanicus revealed by DNA metabarcoding C. Simões et al. 10.1371/journal.pone.0319238
- Next-gen regional fire risk mapping: Integrating hyperspectral imagery and National Forest Inventory data to identify hot-spot wildland-urban interfaces A. Fernández-Manso et al. 10.1016/j.scitotenv.2024.173568
12 citations as recorded by crossref.
- Remote sensing of vegetation and soil moisture content in Atlantic humid mountains with Sentinel-1 and 2 satellite sensor data A. Monteiro et al. 10.1016/j.ecolind.2024.112123
- Assessing wildfire susceptibility and driving variables in Portugal using machine learning approach V. Santana Neto et al. 10.1016/j.jnc.2025.126956
- Optimizing the Portuguese wildfire fuel reduction program A. Ager et al. 10.1016/j.crsus.2025.100361
- Mapping Long-Term Wildfire Dynamics in Portugal Using Trajectory Analysis (1975–2024) B. Barbosa et al. 10.3390/land14091872
- Spatiotemporal patterns and drivers of extreme fire severity in Spain for the period 1985–2018 A. Alvarez et al. 10.1016/j.agrformet.2024.110185
- The Influence of Wildfire Climate on Wildfire Incidence: The Case of Portugal M. Pereira et al. 10.3390/fire7070234
- Long-Term Cumulative Effects of Wildfires on Soil-Vegetation Dynamics in the “Baixa Limia–Serra do Xurés” Natural Park C. García-Redondo et al. 10.3389/sjss.2024.13103
- Multitemporal Sentinel and GEDI data integration for overstory and understory fuel type classification P. Mohammadpour et al. 10.1016/j.jag.2025.104455
- Sustaining altitude pastures in mountain landscapes–a fuzzy cognitive model approach C. Esgalhado et al. 10.1016/j.scitotenv.2024.172930
- Global assessment of historical changes in extreme fire weather: Insight from CMIP6 ensembles and implications for probabilistic attribution to global warming Z. Liu et al. 10.1016/j.gloplacha.2025.104822
- The impact of wildfires on the diet of Podarcis lusitanicus revealed by DNA metabarcoding C. Simões et al. 10.1371/journal.pone.0319238
- Next-gen regional fire risk mapping: Integrating hyperspectral imagery and National Forest Inventory data to identify hot-spot wildland-urban interfaces A. Fernández-Manso et al. 10.1016/j.scitotenv.2024.173568
Latest update: 08 Oct 2025
Short summary
Fire weather indices are used to assess the effect of weather on wildfires. Fire weather risk was computed and combined with large wildfires in Portugal. Results revealed the influence of vegetation cover: municipalities with a prevalence of shrublands, located in eastern parts, burnt under less extreme conditions than those with higher forested areas, situated in coastal regions. These findings are a novelty for fire science in Portugal and should be considered for fire management.
Fire weather indices are used to assess the effect of weather on wildfires. Fire weather risk...
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