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Climate drivers of the 2017 devastating fires in Portugal
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 st...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787010/ https://www.ncbi.nlm.nih.gov/pubmed/31601820 http://dx.doi.org/10.1038/s41598-019-50281-2 |
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author | Turco, Marco Jerez, Sonia Augusto, Sofia Tarín-Carrasco, Patricia Ratola, Nuno Jiménez-Guerrero, Pedro Trigo, Ricardo M. |
author_facet | Turco, Marco Jerez, Sonia Augusto, Sofia Tarín-Carrasco, Patricia Ratola, Nuno Jiménez-Guerrero, Pedro Trigo, Ricardo M. |
author_sort | Turco, Marco |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6787010 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67870102019-10-17 Climate drivers of the 2017 devastating fires in Portugal Turco, Marco Jerez, Sonia Augusto, Sofia Tarín-Carrasco, Patricia Ratola, Nuno Jiménez-Guerrero, Pedro Trigo, Ricardo M. Sci Rep Article 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. Nature Publishing Group UK 2019-10-10 /pmc/articles/PMC6787010/ /pubmed/31601820 http://dx.doi.org/10.1038/s41598-019-50281-2 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Turco, Marco Jerez, Sonia Augusto, Sofia Tarín-Carrasco, Patricia Ratola, Nuno Jiménez-Guerrero, Pedro Trigo, Ricardo M. Climate drivers of the 2017 devastating fires in Portugal |
title | Climate drivers of the 2017 devastating fires in Portugal |
title_full | Climate drivers of the 2017 devastating fires in Portugal |
title_fullStr | Climate drivers of the 2017 devastating fires in Portugal |
title_full_unstemmed | Climate drivers of the 2017 devastating fires in Portugal |
title_short | Climate drivers of the 2017 devastating fires in Portugal |
title_sort | climate drivers of the 2017 devastating fires in portugal |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787010/ https://www.ncbi.nlm.nih.gov/pubmed/31601820 http://dx.doi.org/10.1038/s41598-019-50281-2 |
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