The ongoing development of sophisticated fire behavior and effects models h
as demonstrated the need for a comprehensive system of fuel classification
that more accurately captures the structural complexity and geographic dive
rsity of fuelbeds. The Fire and Environmental Research Applications Team (F
ERA) of the USDA Forest Service, Pacific Northwest Research Station, is dev
eloping a national system of fuel characteristic classification (FCC). The
system is designed to accommodate researchers and managers operating at a v
ariety of scales, and who have access to a variety of kinds of input data.
Users can generate fuel characteristics by accessing existing fuelbed descr
iptions (fuelbed prototypes) using generic information such as cover type o
r vegetation form. Fuelbed prototypes will provide the best available predi
ctions of the kind, quality and abundance of fuels. Users can accept these
default settings or modify some or all of them using more detailed informat
ion about vegetation structure and fuel biomass. When the user has complete
d editing the fuelbed data, the FCC system calculates or infers quantitativ
e fuel characteristics (physical, chemical, and structural properties) and
probable fire parameters specific to that fuelbed. Each user-described fuel
bed is also assigned to one of approximately 192 stylized fuel characterist
ic classes.