Fire regime attributes shape pre-fire vegetation characteristics controlling extreme fire behavior under different bioregions in Spain

Background: Designing effective land management actions addressed to increase ecosystem resilience requires us to understand how shifting fire regimes are shaping landscapes. In this study, we aim to assess the link between fire regime and pre-fire vegetation biophysical characteristics (type, amoun...

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Detalles Bibliográficos
Autores: Beltrán-Marcos, David, Suárez-Seoane, Susana, Fernández-Guisuraga, José Manuel, Azevedo, João C., Calvo Galván, Leonor
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/373560
Acceso en línea:http://hdl.handle.net/10261/373560
https://api.elsevier.com/content/abstract/scopus_id/85192938277
Access Level:acceso abierto
Palabra clave:dNBR
Fire history
Fire severity
Fire recurrence
Fuel type
Fuel amount
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dc.title.none.fl_str_mv Fire regime attributes shape pre-fire vegetation characteristics controlling extreme fire behavior under different bioregions in Spain
title Fire regime attributes shape pre-fire vegetation characteristics controlling extreme fire behavior under different bioregions in Spain
spellingShingle Fire regime attributes shape pre-fire vegetation characteristics controlling extreme fire behavior under different bioregions in Spain
Beltrán-Marcos, David
dNBR
Fire history
Fire severity
Fire recurrence
Fuel type
Fuel amount
title_short Fire regime attributes shape pre-fire vegetation characteristics controlling extreme fire behavior under different bioregions in Spain
title_full Fire regime attributes shape pre-fire vegetation characteristics controlling extreme fire behavior under different bioregions in Spain
title_fullStr Fire regime attributes shape pre-fire vegetation characteristics controlling extreme fire behavior under different bioregions in Spain
title_full_unstemmed Fire regime attributes shape pre-fire vegetation characteristics controlling extreme fire behavior under different bioregions in Spain
title_sort Fire regime attributes shape pre-fire vegetation characteristics controlling extreme fire behavior under different bioregions in Spain
dc.creator.none.fl_str_mv Beltrán-Marcos, David
Suárez-Seoane, Susana
Fernández-Guisuraga, José Manuel
Azevedo, João C.
Calvo Galván, Leonor
author Beltrán-Marcos, David
author_facet Beltrán-Marcos, David
Suárez-Seoane, Susana
Fernández-Guisuraga, José Manuel
Azevedo, João C.
Calvo Galván, Leonor
author_role author
author2 Suárez-Seoane, Susana
Fernández-Guisuraga, José Manuel
Azevedo, João C.
Calvo Galván, Leonor
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Ciencia e Innovación (España)
Agencia Estatal de Investigación (España)
European Commission
Principado de Asturias
Junta de Castilla y León
Fundação para a Ciência e a Tecnologia (Portugal)
Beltrán-Marcos, David [0000-0001-8191-2199]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv dNBR
Fire history
Fire severity
Fire recurrence
Fuel type
Fuel amount
topic dNBR
Fire history
Fire severity
Fire recurrence
Fuel type
Fuel amount
description Background: Designing effective land management actions addressed to increase ecosystem resilience requires us to understand how shifting fire regimes are shaping landscapes. In this study, we aim to assess the link between fire regime and pre-fire vegetation biophysical characteristics (type, amount, and structure) in controlling extreme fire behavior across Atlantic-Transition-Mediterranean bioregions in Spain marked by different summer drought conditions and dominant plant regenerative traits. We used remote sensing metrics to estimate fire severity and pre-fire vegetation characteristics in eight study areas recently affected by large and highly severe wildfires under different environmental contexts. Furthermore, to account for fire regime attributes, we retrieved, for each target wildfire, the perimeter of the past wildfires that occurred between 1985 and 2022 and calculated fire recurrence, the time the since last fire (TSLF), and fire severity of previous wildfires (FSPW). The effect of fire regime attributes on pre-fire vegetation was examined using generalized linear mixed models (GLMMs). Results: During the study period, fire recurrence decreased significantly in all bioregions analyzed. Fire severity increased under Atlantic conditions and decreased under Mediterranean environmental context, where the time since the last fire was the highest. Pre-fire fuel type and amount were identified as primary drivers of fire severity, being both strongly modulated by fire regime but following distinct mechanisms depending on the environmental context of each bioregion. In Atlantic sites, more frequent past wildfires of low to moderate fire severity were associated with a greater dominance of fire-prone shrublands with moderate fuel amounts, which increases the risk of severe wildfires. Similar trends occurred in Transition and Mediterranean sites but under the previous occurrence of highly severe wildfires. Specifically, long times after highly severe wildfires (> 30 years) increased fuel amount in conifer-dominated ecosystems in all bioregions analyzed, heightening susceptibility to extreme fire behavior. Conclusions: Our findings highlight that fire-prone ecosystems need adaptative management strategies to mitigate the effects of fire regime changes, but these actions should be specific to the climatic and ecological context.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024
2024
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dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/373560
https://api.elsevier.com/content/abstract/scopus_id/85192938277
url http://hdl.handle.net/10261/373560
https://api.elsevier.com/content/abstract/scopus_id/85192938277
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
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info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-139156OB-C22
info:eu-repo/grantAgreement/AEI//TED2021-130925B-I00
The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI http://dx.doi.org/10.1186/s42408-024-00276-w
http://dx.doi.org/10.1186/s42408-024-00276-w
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dc.publisher.none.fl_str_mv Springer Nature
publisher.none.fl_str_mv Springer Nature
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spelling Fire regime attributes shape pre-fire vegetation characteristics controlling extreme fire behavior under different bioregions in SpainBeltrán-Marcos, DavidSuárez-Seoane, SusanaFernández-Guisuraga, José ManuelAzevedo, João C.Calvo Galván, LeonordNBRFire historyFire severityFire recurrenceFuel typeFuel amountBackground: Designing effective land management actions addressed to increase ecosystem resilience requires us to understand how shifting fire regimes are shaping landscapes. In this study, we aim to assess the link between fire regime and pre-fire vegetation biophysical characteristics (type, amount, and structure) in controlling extreme fire behavior across Atlantic-Transition-Mediterranean bioregions in Spain marked by different summer drought conditions and dominant plant regenerative traits. We used remote sensing metrics to estimate fire severity and pre-fire vegetation characteristics in eight study areas recently affected by large and highly severe wildfires under different environmental contexts. Furthermore, to account for fire regime attributes, we retrieved, for each target wildfire, the perimeter of the past wildfires that occurred between 1985 and 2022 and calculated fire recurrence, the time the since last fire (TSLF), and fire severity of previous wildfires (FSPW). The effect of fire regime attributes on pre-fire vegetation was examined using generalized linear mixed models (GLMMs). Results: During the study period, fire recurrence decreased significantly in all bioregions analyzed. Fire severity increased under Atlantic conditions and decreased under Mediterranean environmental context, where the time since the last fire was the highest. Pre-fire fuel type and amount were identified as primary drivers of fire severity, being both strongly modulated by fire regime but following distinct mechanisms depending on the environmental context of each bioregion. In Atlantic sites, more frequent past wildfires of low to moderate fire severity were associated with a greater dominance of fire-prone shrublands with moderate fuel amounts, which increases the risk of severe wildfires. Similar trends occurred in Transition and Mediterranean sites but under the previous occurrence of highly severe wildfires. Specifically, long times after highly severe wildfires (> 30 years) increased fuel amount in conifer-dominated ecosystems in all bioregions analyzed, heightening susceptibility to extreme fire behavior. Conclusions: Our findings highlight that fire-prone ecosystems need adaptative management strategies to mitigate the effects of fire regime changes, but these actions should be specific to the climatic and ecological context.This study was financially supported by the Spanish Ministry of Science and Innovation in the framework of LANDSUSFIRE project (PID2022-139156OB-C21, PID2022-139156OB-C22) within the National Program for the Promotion of Scientific-Technical Research (2021–2023); by the Spanish Ministry of Science and Innovation and the Next-Generation Funds of the European Union (EU) in the framework of the FIREMAP project (TED2021-130925B-I00); by the Regional Government of the Principality of Asturias, the Foundation for the Promotion of Applied Scientific Research and Technology in Asturias (FICYT) and the European Regional Development Fund (ERDF) in the framework of the REWILDING project (AYUD/2021/51261); by the Regional Government of Castile and León in the framework of the IA-FIREXTCyL project (LE081P23); and by Portuguese funds through FCT-Portuguese Foundation for Science and Technology, project UIDB/04033/2020 (DOI: https://doi.org/10.54499/UIDB/04033/2020). David Beltrán-Marcos was supported by a pre-doctoral contract from the Regional Government of Castile and León co-financed by the European Social Fund (EDU/556/2019).Peer reviewedSpringer NatureMinisterio de Ciencia e Innovación (España)Agencia Estatal de Investigación (España)European CommissionPrincipado de AsturiasJunta de Castilla y LeónFundação para a Ciência e a Tecnologia (Portugal)Beltrán-Marcos, David [0000-0001-8191-2199]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242024info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/373560https://api.elsevier.com/content/abstract/scopus_id/85192938277reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-139156OB-C21info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-139156OB-C22info:eu-repo/grantAgreement/AEI//TED2021-130925B-I00The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI http://dx.doi.org/10.1186/s42408-024-00276-whttp://dx.doi.org/10.1186/s42408-024-00276-wSíinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3735602026-05-22T06:33:51Z
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