Assessing wildfire occurrence probability in Pinus pinaster Ait. stands in Portugal

Detalhes bibliográficos
Autor(a) principal: Marques, S.
Data de Publicação: 2012
Outros Autores: Garcia-Gonzalo, J., Botequim, B., Ricardo, A., Borges, J.G., Tomé, Margarida, Oliveira, M.M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/4669
Resumo: Maritime pine (Pinus pinaster Ait.) is an important conifer from the western Mediterranean Basin extending over 22% of the forest area in Portugal. In the last three decades nearly 4% of Maritime pine area has been burned by wildfires. Yet no wildfire occurrence probability models are available and forest and fire management planning activities are thus carried out mostly independently of each other. This paper presents research to address this gap. Specifically, it presents a model to assess wildfire occurrence probability in regular and pure Maritime pine stands in Portugal. Emphasis was in developing a model based on easily available inventory data so that it might be useful to forest managers. For that purpose, data from the last two Portuguese National Forest Inventories (NFI) and data from wildfire perimeters in the years from 1998 to 2004 and from 2006 to 2007 were used. A binary logistic regression model was build using biometric data from the NFL Biometric data included indicators that might be changed by operations prescribed in forest planning. Results showed that the probability of wildfire occurrence in a stand increases in stand located at steeper slopes and with high shrubs load while it decreases with precipitation and with stand basal area. These results are instrumental for assessing the impact of forest management options on wildfire probability thus helping forest managers to reduce the risk of wildfires
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spelling Assessing wildfire occurrence probability in Pinus pinaster Ait. stands in PortugalEvaluacion de la probabilidad de ocurrencia de fuegos en rodales de Pinus pinaster Ait en Portugalforest managementriskfire occurrence modelPinus pinasterMaritime pine (Pinus pinaster Ait.) is an important conifer from the western Mediterranean Basin extending over 22% of the forest area in Portugal. In the last three decades nearly 4% of Maritime pine area has been burned by wildfires. Yet no wildfire occurrence probability models are available and forest and fire management planning activities are thus carried out mostly independently of each other. This paper presents research to address this gap. Specifically, it presents a model to assess wildfire occurrence probability in regular and pure Maritime pine stands in Portugal. Emphasis was in developing a model based on easily available inventory data so that it might be useful to forest managers. For that purpose, data from the last two Portuguese National Forest Inventories (NFI) and data from wildfire perimeters in the years from 1998 to 2004 and from 2006 to 2007 were used. A binary logistic regression model was build using biometric data from the NFL Biometric data included indicators that might be changed by operations prescribed in forest planning. Results showed that the probability of wildfire occurrence in a stand increases in stand located at steeper slopes and with high shrubs load while it decreases with precipitation and with stand basal area. These results are instrumental for assessing the impact of forest management options on wildfire probability thus helping forest managers to reduce the risk of wildfiresINIARepositório da Universidade de LisboaMarques, S.Garcia-Gonzalo, J.Botequim, B.Ricardo, A.Borges, J.G.Tomé, MargaridaOliveira, M.M.2012-09-14T13:35:39Z20122012-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/4669eng"Forest Systems". ISSN 2171-9845. 21(1) (2012) 111-1202171-9845info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-06T14:35:38Zoai:www.repository.utl.pt:10400.5/4669Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:52:17.029070Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Assessing wildfire occurrence probability in Pinus pinaster Ait. stands in Portugal
Evaluacion de la probabilidad de ocurrencia de fuegos en rodales de Pinus pinaster Ait en Portugal
title Assessing wildfire occurrence probability in Pinus pinaster Ait. stands in Portugal
spellingShingle Assessing wildfire occurrence probability in Pinus pinaster Ait. stands in Portugal
Marques, S.
forest management
risk
fire occurrence model
Pinus pinaster
title_short Assessing wildfire occurrence probability in Pinus pinaster Ait. stands in Portugal
title_full Assessing wildfire occurrence probability in Pinus pinaster Ait. stands in Portugal
title_fullStr Assessing wildfire occurrence probability in Pinus pinaster Ait. stands in Portugal
title_full_unstemmed Assessing wildfire occurrence probability in Pinus pinaster Ait. stands in Portugal
title_sort Assessing wildfire occurrence probability in Pinus pinaster Ait. stands in Portugal
author Marques, S.
author_facet Marques, S.
Garcia-Gonzalo, J.
Botequim, B.
Ricardo, A.
Borges, J.G.
Tomé, Margarida
Oliveira, M.M.
author_role author
author2 Garcia-Gonzalo, J.
Botequim, B.
Ricardo, A.
Borges, J.G.
Tomé, Margarida
Oliveira, M.M.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Marques, S.
Garcia-Gonzalo, J.
Botequim, B.
Ricardo, A.
Borges, J.G.
Tomé, Margarida
Oliveira, M.M.
dc.subject.por.fl_str_mv forest management
risk
fire occurrence model
Pinus pinaster
topic forest management
risk
fire occurrence model
Pinus pinaster
description Maritime pine (Pinus pinaster Ait.) is an important conifer from the western Mediterranean Basin extending over 22% of the forest area in Portugal. In the last three decades nearly 4% of Maritime pine area has been burned by wildfires. Yet no wildfire occurrence probability models are available and forest and fire management planning activities are thus carried out mostly independently of each other. This paper presents research to address this gap. Specifically, it presents a model to assess wildfire occurrence probability in regular and pure Maritime pine stands in Portugal. Emphasis was in developing a model based on easily available inventory data so that it might be useful to forest managers. For that purpose, data from the last two Portuguese National Forest Inventories (NFI) and data from wildfire perimeters in the years from 1998 to 2004 and from 2006 to 2007 were used. A binary logistic regression model was build using biometric data from the NFL Biometric data included indicators that might be changed by operations prescribed in forest planning. Results showed that the probability of wildfire occurrence in a stand increases in stand located at steeper slopes and with high shrubs load while it decreases with precipitation and with stand basal area. These results are instrumental for assessing the impact of forest management options on wildfire probability thus helping forest managers to reduce the risk of wildfires
publishDate 2012
dc.date.none.fl_str_mv 2012-09-14T13:35:39Z
2012
2012-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.5/4669
url http://hdl.handle.net/10400.5/4669
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv "Forest Systems". ISSN 2171-9845. 21(1) (2012) 111-120
2171-9845
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