Logo do repositório
 
Publicação

A stochastic approach to optimize Maritime pine (Pinus pinaster Ait.) stand management scheduling under fire risk. An application in Portugal

2014-08Artigo científico Acesso restrito
Ver registo simples
datacite.subject.fosCiências Naturais::Matemáticas
datacite.subject.fosCiências Agrárias::Agricultura, Silvicultura e Pescas
datacite.subject.fosCiências Naturais::Ciências da Terra e do Ambiente
datacite.subject.sdg15:Proteger a Vida Terrestre
datacite.subject.sdg13:Ação Climática
datacite.subject.sdg12:Produção e Consumo Sustentáveis
dc.contributor.authorFerreira, L.
dc.contributor.authorConstantino, M.
dc.contributor.authorBorges, J. G.
dc.date.accessioned2026-05-08T12:04:32Z
dc.date.available2026-05-08T12:04:32Z
dc.date.issued2014-08
dc.descriptionA preliminary version of this paper was presented at the EURO Summer Institute about “OR in Agriculture and Forest Management” that took place in Lleida, Spain, 25th–8th August, 2009. The authors acknowledge the constructive comments made by participants.
dc.description.abstractThe paper discusses research aiming at the development of a management scheduling model for even-aged stands that may take into consideration fuel treatments to address the risk of wildfires. A Stochastic dynamic programming (SDP) approach is proposed to determine the policy (e.g. the fuel treatment and thinning schedules and the rotation age) that produces the maximum expected discounted net revenue. Fuel treatment activities encompass shrub cleanings. Emphasis was on combining a deterministic stand-level growth and yield model with wildfire occurrence and damage models to design a SDP network. SDP stages are defined by age and state variables include both the stand basal area and the number of years since the last fuel treatment. Fire occurrence and damage scenarios are addressed at each stage. Results from an application to Maritime pine (Pinus pinaster Ait.) stand management scheduling in Leiria National Forest, Portugal, are presented. Results suggest that the modeling strategy may help assess the impact of wildfire risk on the optimal stand management schedule. They confirm that the maximum expected discounted net revenues decreases. Further, albeit some timber may be salvaged after the wildfire, rotation age also decreases when the risk of fire is considered. Finally, they provide interesting insights about the role of thinning and fuel treatment policies in mitigating risk.eng
dc.description.sponsorshiphis study was partially supported by projects PTDC/AGR-CFL/64146/2006, funded by the Portuguese Science Foundation and MOTIVE—Models for Adaptive Forest Management, funded by 7th EU Framework Programme and by the scholarship SFRH/BD/37172/2007 financed by the Portuguese Science Foundation.
dc.identifier.citationFerreira, L., Constantino, M. & Borges, J.G. A stochastic approach to optimize Maritime pine (Pinus pinaster Ait.) stand management scheduling under fire risk. An application in Portugal. Ann Oper Res 219, 359–377 (2014). https://doi.org/10.1007/s10479-011-0845-z
dc.identifier.doi10.1007/s10479-011-0845-z
dc.identifier.issn0254-5330
dc.identifier.issn1572-9338
dc.identifier.urihttp://hdl.handle.net/10400.8/16259
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature
dc.relationDecision support tools for integrating fire and forest management planning
dc.relationDESENVOLVIMENTO DE MODELOS DE OPTIMIZAÇÃO DA GESTÃO FLORESTAL EM SITUAÇÕES DE RISCO DE INCÊNDIO
dc.relation.hasversionhttps://link.springer.com/article/10.1007/s10479-011-0845-z
dc.relation.ispartofAnnals of Operations Research
dc.rights.uriN/A
dc.subjectStochastic dynamic programming
dc.subjectForest wildfires
dc.subjectMaritime pine
dc.titleA stochastic approach to optimize Maritime pine (Pinus pinaster Ait.) stand management scheduling under fire risk. An application in Portugaleng
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberPTDC/AGR-CFL/64146/2006
oaire.awardNumberSFRH/BD/37172/2007
oaire.awardTitleDecision support tools for integrating fire and forest management planning
oaire.awardTitleDESENVOLVIMENTO DE MODELOS DE OPTIMIZAÇÃO DA GESTÃO FLORESTAL EM SITUAÇÕES DE RISCO DE INCÊNDIO
oaire.awardURIhttp://hdl.handle.net/10400.8/14400
oaire.awardURIhttp://hdl.handle.net/10400.8/16258
oaire.citation.endPage377
oaire.citation.issue1
oaire.citation.startPage359
oaire.citation.titleAnnals of Operations Research
oaire.citation.volume219
oaire.fundingStreamConcurso para Projectos de I&D em todos os Domínios Científicos - 2006
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameFerreira
person.givenNameLiliana
person.identifier.orcid0000-0002-3362-996X
relation.isAuthorOfPublication93730273-e62f-4b02-92dc-374e85a61aa3
relation.isAuthorOfPublication.latestForDiscovery93730273-e62f-4b02-92dc-374e85a61aa3
relation.isProjectOfPublicationcac5ddcb-7f9f-4905-9a9c-706217a05916
relation.isProjectOfPublication5eb2e4f9-5fe0-4cbf-bbe2-67f4fdef0922
relation.isProjectOfPublication.latestForDiscoverycac5ddcb-7f9f-4905-9a9c-706217a05916

Ficheiros

Principais
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
A stochastic approach to optimize Maritime pine (Pinus pinaster Ait.) stand management scheduling under fire risk. An application in Portugal.pdf
Tamanho:
753.2 KB
Formato:
Adobe Portable Document Format
Ver/Abrir
Licença
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
license.txt
Tamanho:
1.32 KB
Formato:
Item-specific license agreed upon to submission
Descrição:
Ver/Abrir

Coleções

ESTG - Artigos em revistas internacionais
CIIC - Artigos em Revistas com Peer Review
INESCC-DL - Artigos em Revistas Internacionais