We used clustering to construct fuel classes from fuel inventory data based on three stand attributes relevant to crown fire behaviour: surface fuel load (SFL), canopy base height (CBH) and canopy bulk density (CBD). Resulting fuel classes explained more of the stand-to-stand variability in predicted crown fire behaviour than fuel types of the Canadian Forest Fire Behaviour Prediction (FBP) System.
Stand structure; Fuel load; Fuel inventory; Fuel complex; Cluster analysis; FBP System; Fire behaviour; Crown fire initiation
Phelps, N., Beverly, J.L. Classification of forest fuels in selected fire-prone ecosystems of Alberta, Canada—implications for crown fire behaviour prediction and fuel management. Annals of Forest Science 79, 40 (2022). https://doi.org/10.1186/s13595-022-01151-x
Data and/or Code availability
Data have been deposited to the Open Science Framework repository: https://doi.org/10.17605/OSF.IO/FZ8E4 and metadata is available at https://metadata-afs.nancy.inra.fr/geonetwork/srv/fre/catalog.search#/metadata/527efb49-43b4-43eb-88b2-70535ff99fc5