Global fire size distribution: from power law to log-normal
Stijn Hantson A B E F , Salvador Pueyo C D F and Emilio Chuvieco AA Environmental Remote Sensing Research Group, Department of Geography and Geology, University of Alcala, c/o Colegios 2, 28801 Alcalá de Henares, Spain.
B Institute of Meteorology and Climate Research, Atmospheric Environmental Research, Karlsruhe Institute of Technology, Kreuzeckbahnstraße 19, 82467 Garmisch-Partenkirchen, Germany.
C Department d’Ecologia, Universitat de Barcelona, Avinguda Diagonal 645, 08028 Barcelona, Catalonia, Spain.
D Research and Degrowth, c/o Hospital 77-4, 08003 Barcelona, Catalonia, Spain.
E Corresponding author. Email: hantson.stijn@gmail.com
F These authors contributed equally to this work.
International Journal of Wildland Fire 25(4) 403-412 https://doi.org/10.1071/WF15108
Submitted: 3 June 2015 Accepted: 29 October 2015 Published: 2 February 2016
Abstract
Wildland fires are one of the main alleged examples of Self-Organised Criticality (SOC), with simple SOC models resulting in the expectation of a power-law fire size frequency distribution. Here, we test whether fire size distributions systematically follow a power law and analyse their spatial variation for eight distinct areas over the globe. For each of the areas, we examine the fire size frequency distribution using two types of plots, maximum likelihood estimation and chi-square tests. Log-normal emerges as a suitable option to fit the fire size distribution in this variety of environments. In only two of eight areas was the power law (which is a particular case of the log-normal) not rejected. Notably, the two parameters of log-normal are related to each other, displaying a general linear relation, which extends to the sites that can be described with a power law. These results do not necessarily refute the SOC hypothesis, but reveal the presence of other processes that are, at least, modulating the outcome of SOC in some areas.
Additional keywords: self-organised criticality (SOC), wildland fire.
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