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Fine-tuning the BFOLDS fire regime module to support the assessment of fire-related functions and services in a changing Mediterranean mountain landscape

2022Journal article Open access
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dc.contributor.authorSil, Ângelo Filipe
dc.contributor.authorAzevedo, João
dc.contributor.authorFernandes, Paulo M.
dc.contributor.authorAlonso, Joaquim
dc.contributor.authorHonrado, João P.
dc.date.accessioned2023-02-07T16:28:29Z
dc.date.available2023-02-07T16:28:29Z
dc.date.issued2022
dc.description.abstractFire simulation models are useful to advance fire research and improve landscape management. However, a better understanding of these tools is crucial to increase their reliability and expansion into research fields where their application remains limited (e.g., ecosystem services). We evaluated several components of the BFOLDS Fire Regime Module and then tested its ability to simulate fire regime attributes in a Mediterranean mountainous landscape. Based on model outputs, we assessed the landscape fire regulation capacity over time and its implications for supporting the climate regulation ecosystem service. We found that input data quality and the adjustment of fuel and fire behaviour parameters are crucial to accurately emulating key fire regime attributes. Besides, the high predictive capacity shown by BFOLDS-FRM allows to reliably inform the planning and sustainable management of fire-prone mountainous areas of the Mediterranean. Moreover, we identified and discussed modelling limitations and made recommendations to improve future model applications.pt_PT
dc.description.sponsorshipA. Sil received support from the Portuguese Foundation for Science and Technology (FCT) through Ph.D. Grant SFRH/BD/132838/2017, funded by the Ministry of Science, Technology and Higher Education, and by the European Social Fund - Operational Program Human Capital within the 2014–2020 EU Strategic Framework. P.M. Fernandes contributed in the framework of the UIDB/04033/2020 project, funded by the Portuguese Foundation for Science and Technology (FCT).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSil, Ângelo; Azevedo, João; Fernandes, Paulo M.; Alonso, Joaquim; Honrado, João P. (2022). Fine-tuning the BFOLDS fire regime module to support the assessment of fire-related functions and services in a changing Mediterranean mountain landscape. Environmental Modelling and Software. ISSN 1364-8152. 155, p. 1-14pt_PT
dc.identifier.doi10.1016/j.envsoft.2022.105464pt_PT
dc.identifier.issn1364-8152
dc.identifier.urihttp://hdl.handle.net/10198/26786
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationThe fire regulation ecosystem service in fire-prone landscapes: valuation and prediction under global change scenarios
dc.relationCentre for the Research and Technology of Agro-Environmental and Biological Sciences
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectLandscape changept_PT
dc.subjectFire regime modelpt_PT
dc.subjectEcosystem servicespt_PT
dc.subjectMediterranean mountainspt_PT
dc.subjectModel evaluationpt_PT
dc.titleFine-tuning the BFOLDS fire regime module to support the assessment of fire-related functions and services in a changing Mediterranean mountain landscapept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleThe fire regulation ecosystem service in fire-prone landscapes: valuation and prediction under global change scenarios
oaire.awardTitleCentre for the Research and Technology of Agro-Environmental and Biological Sciences
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/POR_NORTE/SFRH%2FBD%2F132838%2F2017/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04033%2F2020/PT
oaire.citation.startPage105464pt_PT
oaire.citation.titleEnvironmental Modelling & Softwarept_PT
oaire.citation.volume155pt_PT
oaire.fundingStreamPOR_NORTE
oaire.fundingStream6817 - DCRRNI ID
person.familyNameAzevedo
person.givenNameJoão C.
person.identifier.ciencia-id3F1F-0829-5878
person.identifier.orcid0000-0002-3061-8261
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicatione15b0e75-689e-4be0-942c-1958cfefdb0f
relation.isAuthorOfPublication.latestForDiscoverye15b0e75-689e-4be0-942c-1958cfefdb0f
relation.isProjectOfPublicationcf894466-cd52-41e7-acae-4b36f0af5a22
relation.isProjectOfPublicationac4fb709-719a-450b-8c96-17592d46f5e9
relation.isProjectOfPublication.latestForDiscoverycf894466-cd52-41e7-acae-4b36f0af5a22

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