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Addressing Wildfire Risk in a Landscape-Level Scheduling Model: An Application in Portugal

2015-04-30Journal article Restricted access
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datacite.subject.fosEngenharia e Tecnologia
datacite.subject.fosCiências Naturais::Matemáticas
dc.contributor.authorFerreira, Liliana
dc.contributor.authorConstantino, Miguel F.
dc.contributor.authorBorges, José G.
dc.contributor.authorGarcia-Gonzalo, Jordi
dc.date.accessioned2025-10-28T11:20:11Z
dc.date.available2025-10-28T11:20:11Z
dc.date.issued2015-04-30
dc.description
dc.description.abstractThe paper presents and discusses research aiming at the development of a forested landscape management scheduling model that may address the risk of wildfires. A general indicator is built from wildfire occurrence and damage probabilities to assess stand-level resistance to wildfires. This indicator is developed to further address the specificity of each stand configuration (e.g., shape and size) and spatial context (neighboring stands characteristics). The usefulness of the development of such an indicator is tested within a mixed integer programming (MIP) approach to find the location and timing of management options (e.g., fuel treatment, thinning, clearcut) that may maximize the forested landscape expected net revenues. The Leiria National Forest, a Portuguese forest in central Portugal, was used as a case study. Results suggest that the proposed approach may help integrate wildfire risk in forested landscape management planning and assess its impact on the optimal plan. Results further show that prescriptions that include fuel treatments are often chosen over others that do not include them, thus highlighting the importance of wildfire management efforts. Finally, they provide interesting insights about the role of thinnings and fuel treatment in mitigating wildfire risk.eng
dc.description.sponsorshipAcknowledgments: This study was partially supported by the projects PEst-OE/MAT/UI0152, PTDC/AGR-CFL/64146/2006 (decision support tools for integrating fire and forest management planning) and by the scholarship SFRH/BD/37172/2007, funded by the Portuguese Foundation for Science and Technology (FCT—Fundação para a Ciência e a Tecnologia). It was also financed by the ERDF—European Regional Development Fund through the COMPETE Programme (operational program for competitiveness) within Project Flexible Design of Forest Fire Management Systems MIT/FSE/0064/2009, and by the project MOTIVE (Models for Adaptive Forest Management), funded by 7th European Framework Programme. Furthermore, this research has received funding from the European Unions Seventh Programme for research, technological development, and demonstration under grant agreements: (i) Nr 2,82,887 INTEGRAL “Future-Oriented Integrated Management of European Forest Landscapes” and (iii) Nr PIRSES-GA-2010–2,69,257 (ForEAdapt, FP7-PEOPLE-2010-IRSES) knowledge exchange between Europe and America on forest growth models and optimization for adaptive forestry. It was also partially supported by Project PTDC/AGR-FOR/4526/2012 Models and Decision Support Systems for Addressing Risk and Uncertainty in Forest Planning (SADRI).
dc.identifier.citationFerreira, L. & Constantino, Miguel & Borges, J. & Garcia-Gonzalo, Jordi. (2015). Addressing Wildfire Risk in a Landscape-Level Scheduling Model: An Application in Portugal. Forest Science. 61. 10.5849/forsci.13-104.
dc.identifier.doi10.5849/forsci.13-104
dc.identifier.issn0015-749X
dc.identifier.urihttp://hdl.handle.net/10400.8/14404
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSociety of American Foresters
dc.relationStrategic Project - UI 152 - 2013-2014
dc.relationDecision support tools for integrating fire and forest management planning
dc.relationFIRE-ENGINE - Flexible Design of Forest Fire Management Systems
dc.relationModels and Decision Support Systems for Adressing Risk and Uncertainty in Forest Planning (SADRI)
dc.relationStrategic Project - UI 152 - 2011-2012
dc.relation.hasversionhttps://academic.oup.com/forestscience/article-abstract/61/2/266/4583821
dc.relation.ispartofForest Science
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectForest management scheduling
dc.subjectMixed integer programming
dc.subjectWildfire risk
dc.titleAddressing Wildfire Risk in a Landscape-Level Scheduling Model: An Application in Portugaleng
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleStrategic Project - UI 152 - 2013-2014
oaire.awardTitleDecision support tools for integrating fire and forest management planning
oaire.awardTitleFIRE-ENGINE - Flexible Design of Forest Fire Management Systems
oaire.awardTitleModels and Decision Support Systems for Adressing Risk and Uncertainty in Forest Planning (SADRI)
oaire.awardTitleStrategic Project - UI 152 - 2011-2012
oaire.awardURIhttp://hdl.handle.net/10400.8/14399
oaire.awardURIhttp://hdl.handle.net/10400.8/14400
oaire.awardURIhttp://hdl.handle.net/10400.8/14401
oaire.awardURIhttp://hdl.handle.net/10400.8/14402
oaire.awardURIhttp://hdl.handle.net/10400.8/14403
oaire.citation.endPage277
oaire.citation.issue2
oaire.citation.startPage266
oaire.citation.titleForest Science
oaire.citation.volume61
oaire.fundingStreamFinanciamento de Projectos de IC&DT Estratégicos e de Interesse Público promovidos por Laboratórios Associados e Unidades de I&D - 2013 - OE
oaire.fundingStreamConcurso para Projectos de I&D em todos os Domínios Científicos - 2006
oaire.fundingStreamConcurso de Projectos de Investigação Científica e Desenvolvimento Tecnológico no Âmbito do Acordo de Cooperação entre Portugal e o MIT - 2009
oaire.fundingStreamProjetos de Investigação Científica e Desenvolvimento Tecnológico - 2012
oaire.fundingStreamConcurso para Financiamento de Projectos de IC&DT Estratégicos e de Interesse Público promovidos por Laboratórios Associados e Unidades de I&D - 2011 - OE
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameFerreira
person.givenNameLiliana
person.identifier.orcid0000-0002-3362-996X
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relation.isAuthorOfPublication.latestForDiscovery93730273-e62f-4b02-92dc-374e85a61aa3
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