the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Comment on “Classification and mapping of European fuels using a hierarchical, multipurpose fuel classification system” by Aragoneses et al. (2023)
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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Status: open (until 27 May 2025)
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CC1: 'Comment on essd-2024-587', Elena Aragoneses, 28 Mar 2025
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Dear Editor and authors,
We (Aragoneses, E; García, M; Salis, M; Ribeiro, LM and Chuvieco, E) appreciate the opportunity to publicly discuss the comments provided by Fernandes et al. regarding our paper, "Classification and mapping of European fuels using a hierarchical, multipurpose fuel classification system" (Aragoneses et al., 2023). While we welcome scientific discussions, we find it necessary to clarify several points and address inaccuracies presented in the critique, as we believe that it merely points out what they consider as flaws our work without any constructive criticism and/or scientifically sound alternative to the methods proposed. See the attached pdf.
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RC1: 'Referee comment', Anonymous Referee #1, 23 May 2025
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General Comments
This manuscript provides an invaluable deep assessment of the fuel classification system and subsequent fuel maps proposed at European level by Aragoneses et al. (2023), pointing at the potential limitations that may hinder their operational use as a base for future fire research and fire management.
The high-quality presentation, concisely written and well structured, is coupled with science-based content, finely argued and supported by empirical data as well as by an exhaustive list of references.
Specific comments
First, despite the large-scale mapping (continental), the objection to the low spatial resolution (1 km pixel) is pertinent, especially considering the original aim by Aragoneses et al. (2023) for providing and accurate information on fuel characteristics at European level to be used for operational estimations of fire danger, propagation and emissions. In addition to the general requirements to provide reliable fire behaviour predictions with commonly used wildfire simulations tools (that are one or two orders of magnitude lower, as argued by the authors), the highly populated and heterogeneous landscapes in Europe clearly add to the need for a higher spatial resolution in fuel mapping.
Second, the shortcomings mentioned regarding the proposed European Fuel Classification System (EFCS) and the estimation of fuel characteristics are sound. The authors propose alternative methods that could have been used to the current approach by Aragoneses et al. (2023), demonstrating the inaccuracy of the shrub fuel depth estimation (a key variable in the EFCS) with field data from different locations (n=164). This is not surprising, but yet relevant, given the fact that locally calibrated empirical models previously available were used by Aragoneses et al. (2023) to infer input variables for fuel characterisation in all Europe. This is even more critical when these previous studies were based on limited vegetation types (mainly Mediterranean shrubland, which are only dominant in certain parts of South Europe), and with limited model robustness and reliability when extrapolating to a continental scale from very regional results (especially considering that these studies already had originally low model accuracy).
Finally, the issues reported by the authors in the cross-walk proposed by Aragoneses et al. (2023) to convert the fuel types, previously mapped with the new EFCS approach, into fuel models according to Scott & Burgan (2005) classification systems is warranted. They highlight specific inconsistencies in several fuel model assignments in different fuel types associated to dominant vegetation in Europe, providing quantifications of potential fire behaviour derived from simulation examples that demonstrate significant overestimations.
Technical comments
The main cited paper, originating the authors comments (Aragoneses et al. 2023), is missing in the reference list.
Citation: https://doi.org/10.5194/essd-2024-587-RC1
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RC1: 'Referee comment', Anonymous Referee #1, 23 May 2025
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