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Prediction, validation, and uncertainties of a nation-wide post-fire soil erosion risk assessment in Portugal
Wildfires are a recurrent and increasing threat in mainland Portugal, where over 4.5 million hectares of forests and scrublands have burned over the last 38 years. These fire-affected landscapes have suffered an intensification of soil erosion processes, which can negatively affect soil carbon stora...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8861048/ https://www.ncbi.nlm.nih.gov/pubmed/35190672 http://dx.doi.org/10.1038/s41598-022-07066-x |
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author | Parente, J. Girona-García, A. Lopes, A. R. Keizer, J. J. Vieira, D. C. S. |
author_facet | Parente, J. Girona-García, A. Lopes, A. R. Keizer, J. J. Vieira, D. C. S. |
author_sort | Parente, J. |
collection | PubMed |
description | Wildfires are a recurrent and increasing threat in mainland Portugal, where over 4.5 million hectares of forests and scrublands have burned over the last 38 years. These fire-affected landscapes have suffered an intensification of soil erosion processes, which can negatively affect soil carbon storage, reduce fertility and forest productivity, and can become a source of pollutants. The main objective of the present study is to produce a post-fire soil erosion risk map for the forest and shrubland areas in mainland Portugal and assess its reliability. To this end, the semi-empirical Morgan–Morgan–Finney erosion model was used to assess the potential post-fire soil erosion according to distinct burn severity and climate scenarios, and the accuracy of the predictions was verified by an uncertainty analysis and validated against independent field datasets. The proposed approach successfully allowed mapping post-fire soil erosion in Portugal and identified the areas with higher post-fire erosion risk for past and future climate extremes. The outcomes of this study comprise a set of tools to help forest managers in their decision-making for post-fire emergency stabilization, ensuring the adequate selection of areas for mitigation to minimize the economic and environmental losses caused by fire-enhanced soil erosion. |
format | Online Article Text |
id | pubmed-8861048 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88610482022-02-22 Prediction, validation, and uncertainties of a nation-wide post-fire soil erosion risk assessment in Portugal Parente, J. Girona-García, A. Lopes, A. R. Keizer, J. J. Vieira, D. C. S. Sci Rep Article Wildfires are a recurrent and increasing threat in mainland Portugal, where over 4.5 million hectares of forests and scrublands have burned over the last 38 years. These fire-affected landscapes have suffered an intensification of soil erosion processes, which can negatively affect soil carbon storage, reduce fertility and forest productivity, and can become a source of pollutants. The main objective of the present study is to produce a post-fire soil erosion risk map for the forest and shrubland areas in mainland Portugal and assess its reliability. To this end, the semi-empirical Morgan–Morgan–Finney erosion model was used to assess the potential post-fire soil erosion according to distinct burn severity and climate scenarios, and the accuracy of the predictions was verified by an uncertainty analysis and validated against independent field datasets. The proposed approach successfully allowed mapping post-fire soil erosion in Portugal and identified the areas with higher post-fire erosion risk for past and future climate extremes. The outcomes of this study comprise a set of tools to help forest managers in their decision-making for post-fire emergency stabilization, ensuring the adequate selection of areas for mitigation to minimize the economic and environmental losses caused by fire-enhanced soil erosion. Nature Publishing Group UK 2022-02-21 /pmc/articles/PMC8861048/ /pubmed/35190672 http://dx.doi.org/10.1038/s41598-022-07066-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Parente, J. Girona-García, A. Lopes, A. R. Keizer, J. J. Vieira, D. C. S. Prediction, validation, and uncertainties of a nation-wide post-fire soil erosion risk assessment in Portugal |
title | Prediction, validation, and uncertainties of a nation-wide post-fire soil erosion risk assessment in Portugal |
title_full | Prediction, validation, and uncertainties of a nation-wide post-fire soil erosion risk assessment in Portugal |
title_fullStr | Prediction, validation, and uncertainties of a nation-wide post-fire soil erosion risk assessment in Portugal |
title_full_unstemmed | Prediction, validation, and uncertainties of a nation-wide post-fire soil erosion risk assessment in Portugal |
title_short | Prediction, validation, and uncertainties of a nation-wide post-fire soil erosion risk assessment in Portugal |
title_sort | prediction, validation, and uncertainties of a nation-wide post-fire soil erosion risk assessment in portugal |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8861048/ https://www.ncbi.nlm.nih.gov/pubmed/35190672 http://dx.doi.org/10.1038/s41598-022-07066-x |
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