Human-caused ignition pathways under climate change scenarios in Eastern Spain

Wildfires pose an increasing threat to society, requiring appropriate approaches to understand the components of risk to design effective mitigation strategies. Under this premise, we present a comprehensive methodology to assess the probability of ignition of human-caused wildfires, one of the key...

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Main Authors: Pere Gelabert, Adrián Jiménez-Ruano, Jaime Ribalaygua, Luís Torres, Marcos Rodrigues
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Geomatics, Natural Hazards & Risk
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Online Access:https://www.tandfonline.com/doi/10.1080/19475705.2025.2472864
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author Pere Gelabert
Adrián Jiménez-Ruano
Jaime Ribalaygua
Luís Torres
Marcos Rodrigues
author_facet Pere Gelabert
Adrián Jiménez-Ruano
Jaime Ribalaygua
Luís Torres
Marcos Rodrigues
author_sort Pere Gelabert
collection DOAJ
description Wildfires pose an increasing threat to society, requiring appropriate approaches to understand the components of risk to design effective mitigation strategies. Under this premise, we present a comprehensive methodology to assess the probability of ignition of human-caused wildfires, one of the key drivers of risk. Our approach combines historical ignition records of fires larger than 5 ha (849 ignitions during 1998–2016) in eastern Spain and geospatial information regarding ignition variables. The method leverages the Random Forest algorithm to train a spatially-explicit model of ignition probability, combining distance to wildland interfaces and roads, population density, fuel types, and daily estimates of dead fuel moisture content (DFMC). The model was applied to outline the spatial pattern of probability under current conditions (2015–2020) and future projections across four Shared Socioeconomic Pathways (SSP1-2.6, 2-4.5, 3-7.0, and 5–8.5). The model achieved satisfactory predictive performance (AUC = 0.76 ± 0.01). We observed a generalized increase in the probability of ignition in all scenarios linked to climate warming decreasing DFMC, except in SSP1-2.6. Furthermore, changes in population density fostered an increase in probability in rural and mountainous areas. Taken together, our findings make an important contribution to fire risk assessment and the development of adaptation strategies under different socioeconomic trends.
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1947-5713
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publishDate 2025-12-01
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series Geomatics, Natural Hazards & Risk
spelling doaj-art-a454555c90af4699bd0cdc70274d64fb2025-08-20T03:48:11ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132025-12-0116110.1080/19475705.2025.2472864Human-caused ignition pathways under climate change scenarios in Eastern SpainPere Gelabert0Adrián Jiménez-Ruano1Jaime Ribalaygua2Luís Torres3Marcos Rodrigues4Department of Agriculture and Forest Engineering, University of Lleida, Lleida, SpainTechnosylva Inc, California, USAMeteoGRID S.L, Madrid, SpainMeteoGRID S.L, Madrid, SpainDepartment of Geography and Land Management, University of Zaragoza, Zaragoza, SpainWildfires pose an increasing threat to society, requiring appropriate approaches to understand the components of risk to design effective mitigation strategies. Under this premise, we present a comprehensive methodology to assess the probability of ignition of human-caused wildfires, one of the key drivers of risk. Our approach combines historical ignition records of fires larger than 5 ha (849 ignitions during 1998–2016) in eastern Spain and geospatial information regarding ignition variables. The method leverages the Random Forest algorithm to train a spatially-explicit model of ignition probability, combining distance to wildland interfaces and roads, population density, fuel types, and daily estimates of dead fuel moisture content (DFMC). The model was applied to outline the spatial pattern of probability under current conditions (2015–2020) and future projections across four Shared Socioeconomic Pathways (SSP1-2.6, 2-4.5, 3-7.0, and 5–8.5). The model achieved satisfactory predictive performance (AUC = 0.76 ± 0.01). We observed a generalized increase in the probability of ignition in all scenarios linked to climate warming decreasing DFMC, except in SSP1-2.6. Furthermore, changes in population density fostered an increase in probability in rural and mountainous areas. Taken together, our findings make an important contribution to fire risk assessment and the development of adaptation strategies under different socioeconomic trends.https://www.tandfonline.com/doi/10.1080/19475705.2025.2472864Wildfire riskGISmodelingignitionSSPclimate projections
spellingShingle Pere Gelabert
Adrián Jiménez-Ruano
Jaime Ribalaygua
Luís Torres
Marcos Rodrigues
Human-caused ignition pathways under climate change scenarios in Eastern Spain
Geomatics, Natural Hazards & Risk
Wildfire risk
GIS
modeling
ignition
SSP
climate projections
title Human-caused ignition pathways under climate change scenarios in Eastern Spain
title_full Human-caused ignition pathways under climate change scenarios in Eastern Spain
title_fullStr Human-caused ignition pathways under climate change scenarios in Eastern Spain
title_full_unstemmed Human-caused ignition pathways under climate change scenarios in Eastern Spain
title_short Human-caused ignition pathways under climate change scenarios in Eastern Spain
title_sort human caused ignition pathways under climate change scenarios in eastern spain
topic Wildfire risk
GIS
modeling
ignition
SSP
climate projections
url https://www.tandfonline.com/doi/10.1080/19475705.2025.2472864
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