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Please use this identifier to cite or link to this item: http://hdl.handle.net/10400.5/4669

Título: Assessing wildfire occurrence probability in Pinus pinaster Ait. stands in Portugal
Outros títulos: Evaluacion de la probabilidad de ocurrencia de fuegos en rodales de Pinus pinaster Ait en Portugal
Autor: Marques, S.
Garcia-Gonzalo, J.
Botequim, B.
Ricardo, A.
Borges, J.G.
Tomé, Margarida
Oliveira, M.M.
Palavras-chave: forest management
risk
fire occurrence model
Pinus pinaster
Issue Date: 2012
Editora: INIA
Citação: "Forest Systems". ISSN 2171-9845. 21(1) (2012) 111-120
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
Arbitragem científica: yes
URI: http://hdl.handle.net/10400.5/4669
ISSN: 2171-9845
Versão do Editor: www.inia.es/forestsystems
Appears in Collections:DRAT - Artigos de Revistas

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