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