Function fuel_stratification provides a stratification of the stand into understory and canopy strata. Function fuel_FCCS calculates fuel characteristics from a forest object following an adaptation of the protocols described for the Fuel Characteristics Classification System (Prichard et al. 2013). Function fuel_windAdjustmentFactor determines the adjustment factor of wind for surface fires, according to Andrews (2012). Function fuel_cohortFineFMC calculates the fuel moisture content of leaves and twigs of each cohort, from the results of soil water balance.
fuel_stratification(object, SpParams, gdd = NA,
heightProfileStep = 10.0, maxHeightProfile = 5000.0,
bulkDensityThreshold = 0.05)
fuel_FCCS(object, ShrubCover, CanopyCover, SpParams, cohortFMC = as.numeric(c()),
gdd = NA, heightProfileStep = 10, maxHeightProfile = 5000,
bulkDensityThreshold = 0.05)
fuel_cohortFineFMC(spwb, x)
fuel_windAdjustmentFactor(topShrubHeight, bottomCanopyHeight, topCanopyHeight,
canopyCover)An object of class forest
Total shrub cover (in percent) of the stand.
Total canopy cover (in percent) of the stand.
A data frame with species parameters (see SpParamsMED).
A numeric vector of (actual) fuel moisture content by cohort (e.g. taken from the result of fuel_cohortFineFMC).
Growth degree-days.
Precision for the fuel bulk density profile.
Maximum height for the fuel bulk density profile.
Minimum fuel bulk density to delimit fuel strata.
Object returned by function spwb.
Shrub stratum top height (in m).
Canopy base height (in m).
Canopy top height (in m).
Canopy percent cover.
An object of class spwbInput.
Function fuel_FCCS returns a data frame with five rows corresponding to fuel layers: canopy, shrub, herb, woody and litter. Columns correspond fuel properties:
w: Fine fuel loading (in kg/m2).
cover: Percent cover.
hbc: Height to base of crowns (in m).
htc: Height to top of crowns (in m).
delta: Fuel depth (in m).
rhob: Fuel bulk density (in kg/m3).
rhop: Fuel particle density (in kg/m3).
PV: Particle volume (in m3/m2).
beta: Packing ratio (unitless).
betarel: Relative packing ratio (unitless).
etabetarel: Reaction efficiency (unitless).
sigma: Surface area-to-volume ratio (m2/m3).
pDead: Proportion of dead fuels.
FAI: Fuel area index (unitless).
h: High heat content (in kJ/kg).
etaF: Flammability modifier (between 1 and 2).
RV: Reactive volume (in m3/m2).
MinFMC: Minimum fuel moisture content (as percent over dry weight).
MaxFMC: Maximum fuel moisture content (as percent over dry weight).
Function fuel_stratification returns a list with the following items:
surfaceLayerBaseHeight: Base height of crowns of shrubs in the surface layer (in cm).
surfaceLayerTopHeight: Top height of crowns of shrubs in the surface layer (in cm).
understoryLAI: Cumulated LAI of the understory layer (i.e. leaf area comprised between surface layer base and top heights).
canopyBaseHeight: Base height of tree crowns in the canopy (in cm).
canopyTopHeight: Top height of tree crowns in the canopy (in cm).
canopyLAI: Cumulated LAI of the canopy (i.e. leaf area comprised between canopy base and top heights).
Function fuel_cohortFineFMC returns a list with three matrices (for leaves, twigs and fine fuels). Each of them contains live moisture content values for each day (in rows) and plant cohort (in columns).
Function fuel_windAdjustmentFactor returns a value between 0 and 1.
Details are described in a vignette.
Andrews, P. L. 2012. Modeling wind adjustment factor and midflame wind speed for Rothermel<U+2019>s surface fire spread model. USDA Forest Service - General Technical Report RMRS-GTR:1<U+2013>39.
Prichard, S. J., D. V Sandberg, R. D. Ottmar, E. Eberhardt, A. Andreu, P. Eagle, and K. Swedin. 2013. Classification System Version 3.0: Technical Documentation.
Reinhardt, E., D. Lutes, and J. Scott. 2006. FuelCalc: A method for estimating fuel characteristics. Pages 273<U+2013>282.
# NOT RUN {
#Load example plot plant data
data(exampleforest)
#Default species parameterization
data(SpParamsMED)
#Show stratification of fuels
fuel_stratification(exampleforest, SpParamsMED)
#Calculate fuel properties according to FCCS
fccs = fuel_FCCS(exampleforest, 50,100, SpParamsMED)
fccs
fuel_windAdjustmentFactor(fccs$htc[2], fccs$hbc[1], fccs$htc[1], fccs$cover[1])
# }
Run the code above in your browser using DataLab