Preprints
https://doi.org/10.5194/essd-2024-587
https://doi.org/10.5194/essd-2024-587
10 Mar 2025
 | 10 Mar 2025
Status: this preprint is currently under review for the journal ESSD.

Comment on “Classification and mapping of European fuels using a hierarchical, multipurpose fuel classification system” by Aragoneses et al. (2023)

Paulo M. Fernandes, Nuno G. Guiomar, and Ana Sá

Abstract. Classifying and mapping vegetation as fuel is essential for various fire research and management applications. Aragoneses et al. (2023) proposed a hierarchical fuel classification system for Europe and allocated standard fuel models to the resulting fuel types, producing a continental fuel map. We examine the methods involved and their outcomes. The reasoning behind their system is misguided, as the proposed set of fuel types does not reflect fuel-complex characteristics and the inherent fire behaviour. In their categorization of shrublands and grasslands, fuel depth is a key variable; however, the bioclimatic modelling approach used to map it is unreliable, as it is based on local empirical relationships. The adopted 1-km mapping resolution is one to two orders of magnitude lower than the needs of spatially-explicit fire behaviour simulation, and implied up-scaling procedures adding uncertainty due to loss of thematic detail. Finally, a simplistic aridity-based rule was applied to assign fuel models to fuel types, limiting the options available. This, in combination with fuel-depth overestimation and untenable fuel model choices, contributed to a substantial fire-hazard overestimation across the large portion of Europe occupied by low-flammability cover types.

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Paulo M. Fernandes, Nuno G. Guiomar, and Ana Sá

Status: open (until 16 Apr 2025)

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Paulo M. Fernandes, Nuno G. Guiomar, and Ana Sá
Paulo M. Fernandes, Nuno G. Guiomar, and Ana Sá

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Short summary
Mapping vegetation as fuel is important for understanding and managing wildfires. Aragoneses et al. (2023) created a European fuel map, but their method has flaws. The fuel types don’t match real fire behavior, and key vegetation metrics were mapped using unreliable methods. The map’s low detail and oversimplified approach caused it to overestimate fire risk in areas with less flammable vegetation, limiting its usefulness for wildfire research and planning.
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