The REMAINS R-package: Paving the way for fire-landscape modeling and management

Modelling landscape dynamics is crucial for assessing the potential effectiveness of upgraded land management. In fire-prone regions, wildfires play a critical role in shaping landscapes, and land-use and fire suppression policies strongly influence landscape patterns and fire regimes. In this paper...

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Detalhes bibliográficos
Autores: Pais, Silvana, Aquilué, Núria, Brotons, Lluís, Honrado, João P., Fernandes, Paulo M., Regos Sanz, Adrián
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Recursos:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10459.1/463905
Acesso em linha:https://doi.org/10.1016/j.envsoft.2023.105801
https://hdl.handle.net/10459.1/463905
Access Level:acceso abierto
Palavra-chave:Fire management scenarios
Fire suppression
Land abandonment
Landscape dynamic modelling
Prescribed fire
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spelling The REMAINS R-package: Paving the way for fire-landscape modeling and managementPais, SilvanaAquilué, NúriaBrotons, LluísHonrado, João P.Fernandes, Paulo M.Regos Sanz, AdriánFire management scenariosFire suppressionLand abandonmentLandscape dynamic modellingPrescribed fireModelling landscape dynamics is crucial for assessing the potential effectiveness of upgraded land management. In fire-prone regions, wildfires play a critical role in shaping landscapes, and land-use and fire suppression policies strongly influence landscape patterns and fire regimes. In this paper, we introduce REMAINS, a spatially explicit process-based model, implemented as a user-friendly R package. REMAINS enables the simulation of fire-landscape dynamics under different land-use and fire management scenarios. The package incorporates the spatial interaction of fire-related processes including fire ignition, spread and extinction, as well as vegetation dynamics such as including natural succession and post-fire regeneration. With a comprehensive set of functions, REMAINS allows for the simulation of two fire-suppression strategies, prescribed fire approaches, and land-use policy scenarios. Furthermore, REMAINS facilitates the assessment of the impacts of such management options on fire regime attributes. This model enhances capacity building beyond academia and supports policy- and decision-making process.This research was partially funded by Portuguese national funds through FCT – Foundation for Science and Technology, I.P., under the FirESmart project (PCIF/MOG/0083/2017) and MCIN/AEI through the projects GREENRISK (PID2020-119933RB-C22) and CEX-2018-000828-S “Centro de Excelencia Severo Ochoa”. AR and NA are funded by the Spanish Ministry of Science and Innovation (IJC2019-041033-I and FCJ2020-046387-I, respectively). SP received support from the Portuguese Foundation for Science and Technology (FCT) through the PhD grant 2020.09853.BD. PF contributed to the frame of the FCT-funded project UIDB/04033/2020.Elsevier2023info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://doi.org/10.1016/j.envsoft.2023.105801https://hdl.handle.net/10459.1/463905reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)Inglésinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-119933RB-C22Reproducció del document publicat a https://doi.org/10.1016/j.envsoft.2023.105801Environmental Modelling & Software, 2023, vol. 168, art. 105801cc-by-nc-nd (c) The Authors, 2023Attribution-NonCommercial-NoDerivatives 4.0 Internationalinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/oai:recercat.cat:10459.1/4639052026-05-29T05:05:01Z
dc.title.none.fl_str_mv The REMAINS R-package: Paving the way for fire-landscape modeling and management
title The REMAINS R-package: Paving the way for fire-landscape modeling and management
spellingShingle The REMAINS R-package: Paving the way for fire-landscape modeling and management
Pais, Silvana
Fire management scenarios
Fire suppression
Land abandonment
Landscape dynamic modelling
Prescribed fire
title_short The REMAINS R-package: Paving the way for fire-landscape modeling and management
title_full The REMAINS R-package: Paving the way for fire-landscape modeling and management
title_fullStr The REMAINS R-package: Paving the way for fire-landscape modeling and management
title_full_unstemmed The REMAINS R-package: Paving the way for fire-landscape modeling and management
title_sort The REMAINS R-package: Paving the way for fire-landscape modeling and management
dc.creator.none.fl_str_mv Pais, Silvana
Aquilué, Núria
Brotons, Lluís
Honrado, João P.
Fernandes, Paulo M.
Regos Sanz, Adrián
author Pais, Silvana
author_facet Pais, Silvana
Aquilué, Núria
Brotons, Lluís
Honrado, João P.
Fernandes, Paulo M.
Regos Sanz, Adrián
author_role author
author2 Aquilué, Núria
Brotons, Lluís
Honrado, João P.
Fernandes, Paulo M.
Regos Sanz, Adrián
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Fire management scenarios
Fire suppression
Land abandonment
Landscape dynamic modelling
Prescribed fire
topic Fire management scenarios
Fire suppression
Land abandonment
Landscape dynamic modelling
Prescribed fire
description Modelling landscape dynamics is crucial for assessing the potential effectiveness of upgraded land management. In fire-prone regions, wildfires play a critical role in shaping landscapes, and land-use and fire suppression policies strongly influence landscape patterns and fire regimes. In this paper, we introduce REMAINS, a spatially explicit process-based model, implemented as a user-friendly R package. REMAINS enables the simulation of fire-landscape dynamics under different land-use and fire management scenarios. The package incorporates the spatial interaction of fire-related processes including fire ignition, spread and extinction, as well as vegetation dynamics such as including natural succession and post-fire regeneration. With a comprehensive set of functions, REMAINS allows for the simulation of two fire-suppression strategies, prescribed fire approaches, and land-use policy scenarios. Furthermore, REMAINS facilitates the assessment of the impacts of such management options on fire regime attributes. This model enhances capacity building beyond academia and supports policy- and decision-making process.
publishDate 2023
dc.date.none.fl_str_mv 2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1016/j.envsoft.2023.105801
https://hdl.handle.net/10459.1/463905
url https://doi.org/10.1016/j.envsoft.2023.105801
https://hdl.handle.net/10459.1/463905
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-119933RB-C22
Reproducció del document publicat a https://doi.org/10.1016/j.envsoft.2023.105801
Environmental Modelling & Software, 2023, vol. 168, art. 105801
dc.rights.none.fl_str_mv cc-by-nc-nd (c) The Authors, 2023
Attribution-NonCommercial-NoDerivatives 4.0 International
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
rights_invalid_str_mv cc-by-nc-nd (c) The Authors, 2023
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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