Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/4315

Title: Characterization of wildfires in Portugal
Authors: Marques, Susete
Borges, José Guilherme
Garcia-Gonzalo, Jordi
Moreira, Francisco
Carreiras, J. M. B.
Oliveira, Manuela
Cantarinha, Ana
Botequim, Brigite
Pereira, J.M.C.
Editors: Pretzsch, Hans
Bibe, Peter
Ammer, Christian
Berger, Uta
Brazaitis, Gediminas
Kändler, Gerald
Matyssek, Rainer
Merino, Agustín
Moog, Martin
Müller, Jörg
Pretzsch, Hans
Weiskittel, Aaron
Seifert, Thomas
Biber, Peter
Ågren, Göran I.
Bauhus, Jürgen
Berg, Staffan
Bugmann, Harald
Cavalli, Raffaele
Dummel, Klaus
Eckstein, Dieter
Fink, Siegfried
Fischer, Anton
Grote, Rüdiger
Kangas, Annika
Koch, Barbara
Leuschner, Christoph
Lindner, Marcus
Magnussen, Steen
Marchetti, Marco
Mason, Bill
Nagel, Jürgen
Niinemets, Ylo
O'Hara, Kevin L.
Oßwald, Wolfgang
Penttinen, Markku
Rennenberg, Heinz
Reynolds, Keith M.
Rumpf, János
Schiess, Peter
Schneider, Thomas
Sekot, Walter
Skovsgaard, Jens Peter
Ståhl, Göran
Stähl, Manfred
Sterba, Hubert
Wiese, Gerhard
Keywords: Fire characterization
Fire risk
Geographic information system
Land use
Issue Date: 2011
Publisher: Springer
Abstract: Forest fires severity has increased in Portugal in the last decades. Climate change scenarios suggest the reinforcement of this severity. Forest ecosystem managers and policy-makers thus face the challenge of developing effective fire prevention policies. The characterization of forest fires is instrumental for meeting this challenge. An approach for characterizing fire occurrence in Portugal, combining the use of geographic information systems and statistical analysis techniques, is presented. Emphasis was on the relationships between ecological and socioeconomic features and fire occurrence. The number and sizes of wildfires in Portugal were assessed for three 5-year periods (1987–1991, 1990–1994, and 2000–2004). Features maps were overlaid with perimeters of forest fires, and the proportion of burned area for each period was modeled using weighted generalized linear models (WGLM). Descriptive statistics showed variations in the distribution of fire size over recent decades, with a significant increase in the number of very large fires. Modeling underlined the impact of the forest cover type on the proportion of area burned. The statistical analysis further showed that socioeconomic features such as the proximity to roads impact the probability of fires occurrence. Results suggest that this approach may provide insight needed to develop fire prevention policies.
URI: http://hdl.handle.net/10174/4315
ISSN: 1612-4669
Type: article
Appears in Collections:CIMA - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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