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      Climate drivers of the 2017 devastating fires in Portugal

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          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.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index

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              Fire in the Earth system.

              Fire is a worldwide phenomenon that appears in the geological record soon after the appearance of terrestrial plants. Fire influences global ecosystem patterns and processes, including vegetation distribution and structure, the carbon cycle, and climate. Although humans and fire have always coexisted, our capacity to manage fire remains imperfect and may become more difficult in the future as climate change alters fire regimes. This risk is difficult to assess, however, because fires are still poorly represented in global models. Here, we discuss some of the most important issues involved in developing a better understanding of the role of fire in the Earth system.
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                Author and article information

                Contributors
                turco.mrc@gmail.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                10 October 2019
                10 October 2019
                2019
                : 9
                : 13886
                Affiliations
                [1 ]ISNI 0000 0004 0387 1602, GRID grid.10097.3f, Earth Science Department, , Barcelona Supercomputing Center (BSC), ; 08034 Barcelona, Spain
                [2 ]ISNI 0000 0001 2287 8496, GRID grid.10586.3a, Regional Atmospheric Modeling (MAR) Group, Department of Physics, , University of Murcia, ; 30100 Murcia, Spain
                [3 ]ISNI 0000 0001 1503 7226, GRID grid.5808.5, EPIUnit - Instituto de Saúde Pública, , Universidade do Porto, ; Porto, Portugal
                [4 ]ISNI 0000 0001 2181 4263, GRID grid.9983.b, Centre for Ecology, Evolution and Environmental Changes, Faculdade de Ciências, , Universidade de Lisboa (CE3C-FC-ULisboa), ; Lisboa, Portugal
                [5 ]ISNI 0000 0001 1503 7226, GRID grid.5808.5, LEPABE-Laboratory for Process Engineering, Environment, Biotechnology and Energy, Faculty of Engineering, , University of Porto, Rua Dr. Roberto Frias, ; 4200-465 Porto, Portugal
                [6 ]GRID grid.452553.0, Biomedical Research Institute of Murcia (IMIB-Arrixaca), ; 30120 Murcia, Spain
                [7 ]ISNI 0000 0001 2181 4263, GRID grid.9983.b, Instituto Dom Luiz (IDL), Faculdade de Ciências, , Universidade de Lisboa, ; Lisboa, 1749-016 Portugal
                [8 ]ISNI 0000 0001 2294 473X, GRID grid.8536.8, Departamento de Meteorologia, , Universidade Federal do Rio de Janeiro, ; 21941-916 Rio de Janeiro, Brazil
                Author information
                http://orcid.org/0000-0001-8589-7459
                http://orcid.org/0000-0002-3156-0671
                Article
                50281
                10.1038/s41598-019-50281-2
                6787010
                31601820
                56cbbe5a-0184-4afb-a409-6178ac6123a8
                © 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/.

                History
                : 14 January 2019
                : 6 September 2019
                Categories
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                Custom metadata
                © The Author(s) 2019

                Uncategorized
                climate-change impacts,environmental impact,natural hazards
                Uncategorized
                climate-change impacts, environmental impact, natural hazards

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