2007
DOI: 10.1139/x07-093
|View full text |Cite
|
Sign up to set email alerts
|

Fire potential rating for wildland fuelbeds using the Fuel Characteristic Classification SystemThis article is one of a selection of papers published in the Special Forum on the Fuel Characteristic Classification System.

Abstract: The Fuel Characteristic Classification System (FCCS) is a systematic catalog of inherent physical properties of wildland fuelbeds that allows land managers, policy makers, and scientists to build and calculate fuel characteristics with complete or incomplete information. The FCCS is equipped with a set of equations to calculate the potential of any real-world or simulated fuelbed to spread fire across the surface and in the crowns, and consume fuels. FCCS fire potentials are a set of relative values that rate … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
7
0

Year Published

2008
2008
2021
2021

Publication Types

Select...
5
2
1

Relationship

0
8

Authors

Journals

citations
Cited by 26 publications
(7 citation statements)
references
References 20 publications
0
7
0
Order By: Relevance
“…FCCS uses fuel characteristics (e.g., percentage cover, loading, depth) to calculate and report nine fire potentials, organized into three categories: surface fire behavior potential, crown fire potential and available fuel potential [39]. Based on input environmental variables, FCCS also predicts surface fire behavior parameters using a reformulation of the Rothermel [40] fire behavior model [41].…”
Section: Methodsmentioning
confidence: 99%
“…FCCS uses fuel characteristics (e.g., percentage cover, loading, depth) to calculate and report nine fire potentials, organized into three categories: surface fire behavior potential, crown fire potential and available fuel potential [39]. Based on input environmental variables, FCCS also predicts surface fire behavior parameters using a reformulation of the Rothermel [40] fire behavior model [41].…”
Section: Methodsmentioning
confidence: 99%
“…The GFFC percentage of each LSU was quantified on a scale of 0.0-1.0. GFFC estimates were also used to assign a "LSU Fuel Class" type to each sample unit (Table 2 a), based on combinations of fuel/vegetation classification schemes derived from prior studies including Anderson [34], Sandberg et al [81], and Blodgett et al [53]. GFFC were stratified into one of two separate slope orientation groups: Slope angle > 0 • (upslope), Slope angle < 0 • (downslope) based on the mean directional slope ( Table 2 b).…”
Section: Landscape Covariate Sampling and Stratificationmentioning
confidence: 99%
“…Fuelbed data are input into fire behavior models to predict fire potentials-surface fire behavior, crown fire potential, and available fuel potential (Riccardi et al, 2007;Sandberg et al, 2007). Each dimension of fire potential can be broken down into component parts.…”
Section: Fuel Characteristic Classification System (Fccs)mentioning
confidence: 99%
“…Each dimension of fire potential can be broken down into component parts. Surface fire behavior potential consists of surface reaction, spread, and flame length (Sandberg et al, 2007). Crown fire potential ranks the potential for surface fire to move into the canopy-it comprises crown initiation, transmissivity, and spread.…”
Section: Fuel Characteristic Classification System (Fccs)mentioning
confidence: 99%
See 1 more Smart Citation