Modelling the spatial patterns of ignition causes and fire regime features in southern France: implications for fire prevention policy
Thomas Curt A D , Thibaut Fréjaville A C and Sébastien Lahaye BA Irstea EMAX, Mediterranean Ecosystems and Risks, 3275 route Cézanne – CS 4006, 13182 Aix-en-Provence cedex 5, France.
B SDIS des Bouches-du-Rhône, 1 avenue de Boisbaudran, 13326 Marseille cedex, France.
C Present address: BIOGECO (UMR 1202), INRA, University of Bordeaux, 33615 Pessac, France.
D Corresponding author. Email: thomas.curt@irstea.fr
International Journal of Wildland Fire 25(7) 785-796 https://doi.org/10.1071/WF15205
Submitted: 30 April 2015 Accepted: 1 April 2016 Published: 31 May 2016
Abstract
A good knowledge of the spatiotemporal patterns of the causes of wildfire ignition is crucial to an effective fire policy. However, little is known about the situation in south-eastern France because the fire database contains unreliable data. We used data for cases with well-established causes from 1973–2013 to determine the location of spatial hotspots, the seasonal distribution, the underlying anthropogenic and environmental drivers and the tendency of five main causes to generate large fires. Anthropogenic ignitions were predominant (88%) near human settlements and infrastructures in the lowlands, whilst lightning-induced fires were more common in the coastal mountains. In densely populated urban areas, small summer fires were predominating, due to the negligence of private individuals around their homes or accidental ignitions near infrastructures. In rural hinterlands, ignitions due to negligence by professionals generate many medium-sized fires from autumn to spring. Intentional and accidental ignitions contribute the most to the total burned area and to large fires. We conclude that socioeconomic factors partially control the fire regime, influencing the timing, spatial distribution and potential size of fires. This improved understanding of why, where and when ignitions occur provides the opportunity for controlling certain causes of ignitions and adapting French policy to global changes.
Additional keywords: boosted regression trees, fire activity, fire policy, hotspots.
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