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Climate drivers of the 2017 devastating fires in Portugal

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dc.contributor.author Turco, Marco
dc.contributor.author Jerez, Sonia
dc.contributor.author Augusto, Sofia
dc.contributor.author Tarin-Carrasco, Patricia
dc.contributor.author Ratola, Nuno
dc.contributor.author Jiménez-Guerrero, Pedro
dc.contributor.author Trigo, Ricardo-M
dc.date.accessioned 2026-02-12T12:19:31Z
dc.date.available 2026-02-12T12:19:31Z
dc.date.issued 2019-10-10
dc.identifier.citation Turco M, Jerez S, Augusto S, Tarín-Carrasco P, Ratola N, Jiménez-Guerrero P, et al. Climate drivers of the 2017 devastating fires in Portugal. Sci Rep. 10 de octubre de 2019;9(1):13886.
dc.identifier.issn 2045-2322
dc.identifier.uri https://sms.carm.es/ricsmur/handle/123456789/24440
dc.description.abstract A record 500,000 hectares burned in Portugal during the extreme wildfire season of 2017, with more than 120 human lives lost. Here we analyse the climatic factors responsible for the burned area (BA) from June to October series in Portugal for the period 1980-2017. Superposed onto a substantially stationary trend on BA data, strong oscillations on shorter time scales were detected. Here we show that they are significantly affected by the compound effect of summer (June-July-August) drought and high temperature conditions during the fire season. Drought conditions were calculated using the Standardized Precipitation Evapotranspiration Index (SPEI), the Standardized Precipitation Index (SPI) and the Standardized Soil Moisture Index (SSI). Then the extent to which the burned area has diverged from climate-expected trends was assessed. Our results indicate that in the absence of other drivers, climate change would have led to higher BA values. In addition, the 2017 extreme fire season is well captured with the model forced with climate drivers only, suggesting that the extreme fire season of 2017 could be a prelude to future conditions and likewise events. Indeed, the expected further increase of drought and high temperature conditions in forthcoming decades, point at a potential increase of fire risk in this region. The climate-fire model developed in this study could be useful to develop more skilled seasonal predictions capable of anticipating potentially hazardous conditions.
dc.language.iso eng
dc.publisher NATURE PORTFOLIO
dc.rights Attribution 4.0 International
dc.rights.uri http://creativecommons.org/licenses/by/4.0 *
dc.title Climate drivers of the 2017 devastating fires in Portugal
dc.type info:eu-repo/semantics/article
dc.identifier.pmid 31601820
dc.relation.publisherversion https://www.nature.com/articles/s41598-019-50281-2
dc.type.version info:eu-repo/semantics/publishedVersion
dc.identifier.doi 10.1038/s41598-019-50281-2
dc.journal.title Scientific Reports


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