Accurate and spatially explicit information on forest fuels becomes essential to designing an integrated fire risk management strategy, as fuel characteristics are critical for fire danger estimation, fire propagation, and emissions modelling, among other aspects. This paper proposes a new European fuel classificationsystem that can be used for different spatial scales and purposes (propagation, behaviour, and emissions). Theproposed classification system is hierarchical and encompasses a total of 85 fuel types, grouped into six mainfuel categories (forest, shrubland, grassland, cropland, wet and peat/semi-peat land, and urban), plus a nonfuelcategory. For the forest cover, fuel types include two vertical strata, overstorey and understorey, to account forboth surface and canopy fuels. In addition, this paper presents the methods to map fuel types at the Europeanscale, including the first-level of the classification system. Land cover, biogeographic datasets, and bioclimaticmodelling were used. The final map, which is publicly available (https://doi.org/10.21950/YABYCN; Aragoneses et al., 2022a), included 20 fuel categories at 1 km spatial resolution. A first assessment of this map wasperformed using field information obtained from LUCAS (Land Use and Coverage Area frame Survey), complemented with high-resolution data. This validation exercise provided an overall accuracy of 88 % for the mainfuel types and 81 % for all mapped fuel types. To facilitate the use of this fuel dataset in fire behaviour modelling,an assignment of fuel parameters to each fuel type was performed by developing a crosswalk to the standard fuelmodels defined by Scott and Burgan (2005; FBFMs - Fire Behavior Fuel Models), considering European climatediversity. This work has been developed within the framework of the FirEUrisk project, which aims to create aEuropean-integrated strategy for fire danger assessment, reduction, and adaptation.
Classification and mapping of European fuels using a hierarchical, multipurpose fuel classification system
Salis M;
2023
Abstract
Accurate and spatially explicit information on forest fuels becomes essential to designing an integrated fire risk management strategy, as fuel characteristics are critical for fire danger estimation, fire propagation, and emissions modelling, among other aspects. This paper proposes a new European fuel classificationsystem that can be used for different spatial scales and purposes (propagation, behaviour, and emissions). Theproposed classification system is hierarchical and encompasses a total of 85 fuel types, grouped into six mainfuel categories (forest, shrubland, grassland, cropland, wet and peat/semi-peat land, and urban), plus a nonfuelcategory. For the forest cover, fuel types include two vertical strata, overstorey and understorey, to account forboth surface and canopy fuels. In addition, this paper presents the methods to map fuel types at the Europeanscale, including the first-level of the classification system. Land cover, biogeographic datasets, and bioclimaticmodelling were used. The final map, which is publicly available (https://doi.org/10.21950/YABYCN; Aragoneses et al., 2022a), included 20 fuel categories at 1 km spatial resolution. A first assessment of this map wasperformed using field information obtained from LUCAS (Land Use and Coverage Area frame Survey), complemented with high-resolution data. This validation exercise provided an overall accuracy of 88 % for the mainfuel types and 81 % for all mapped fuel types. To facilitate the use of this fuel dataset in fire behaviour modelling,an assignment of fuel parameters to each fuel type was performed by developing a crosswalk to the standard fuelmodels defined by Scott and Burgan (2005; FBFMs - Fire Behavior Fuel Models), considering European climatediversity. This work has been developed within the framework of the FirEUrisk project, which aims to create aEuropean-integrated strategy for fire danger assessment, reduction, and adaptation.| File | Dimensione | Formato | |
|---|---|---|---|
|
Aragoneses et al_2023_essd-15-1287-2023_LOWRES.pdf
accesso aperto
Descrizione: editoriale low res
Tipologia:
Versione Editoriale (PDF)
Licenza:
Creative commons
Dimensione
499.3 kB
Formato
Adobe PDF
|
499.3 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


