AbstractIn the geography of risk, vulnerability may be defined as a physical characteristic that describes the tendency of a territory to suffer damage as a result of the occurrence of certain phenomena. According to this synthetic definition, there are two main components of vulnerability in the context of wildland fires. The first is internal, and is related to the effects of fires on the value of the affected assets affected and their capacity for recovery. The second is external, and is related to the characteristics of fires and the ability of society to deal with the hazards of wildland fires. The aim of the present study is to develop an assessment of spatial vulnerability in the context of wildland fires, at a scale appropriate for planning (1/25 000), in a mountainous region of the Spanish Mediterranean coast (Sierra Calderona). The proposed methodology entailed the definition of a synthetic index associated with the management of the risk of wildland fires, which was made up of significant factors such as the difficulty of extinction, the need for forest defence, the need for civil protection, and territorial value. To define and calculate the factors, variables and indicators that reflected aspects of the components of vulnerability (such as exposure, sensitivity, and the capacity to fight fires) were used. These were combined in a hierarchical structure, each having its own cartographical representation. Geographical information systems and multi‐criteria evaluation were then used to provide a successful framework for the analysis of vulnerability in relation to wildland fires. The cartographical outputs of the various components of the index are of particular interest to the planning of certain activities (e.g. forest, wildland fire, and civil protection), all of which are directly involved in the management of risk. In turn, the final synthetic index provides comprehensive spatial information that is useful for spatial planning and also enables the assessment of potential future land use in view of its usefulness in simulations.
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