fireHazard {medfate} | R Documentation |
Fire hazard
Description
Estimates potential fire behaviour at each daily step of a simulation
Usage
fireHazard(
x,
SpParams,
forest = NULL,
standardConditions = FALSE,
freq = "days",
fun = "max"
)
Arguments
x |
An object of class |
SpParams |
A data frame with species parameters (see |
forest |
An object of class |
standardConditions |
A logical flag to indicate that standard fire weather conditions are to be used (instead of deriving fuel moisture and windspeed from |
freq |
Frequency of summary statistics (see |
fun |
Summary function (by default, maximum values). |
Details
Live fuel moisture of shrub and canopy layers is estimated from plant water status. Dead fuel moisture is estimated following Resco-de-Dios et al. (2015).
Value
A matrix with fire behaviour variables (columns) for each simulated day (rows) or coarser time steps if summaries are requested.
Author(s)
Miquel De Cáceres Ainsa, CREAF
References
Resco de Dios, V., A. W. Fellows, R. H. Nolan, M. M. Boer, R. A. Bradstock, F. Domingo, and M. L. Goulden. 2015. A semi-mechanistic model for predicting the moisture content of fine litter. Agricultural and Forest Meteorology 203:64–73.
Ruffault J, Limousin JM, Pimont F, Dupuy JL, De Cáceres M, Cochard H, Mouillot F, Blackman C, Torres-Ruiz JM, Parsons R, Moreno M, Delzon S, Jansen S, Olioso A, Choat B, Martin-StPaul N. 2023. Plant hydraulic modelling of leaf and canopy fuel moisture content reveals increasing vulnerability of a Mediterranean forest to wildfires under extreme drought. New Phytologist. (10.1111/nph.18614).
See Also
Examples
#Load example daily meteorological data
data(examplemeteo)
#Load example plot plant data
data(exampleforest)
#Default species parameterization
data(SpParamsMED)
#Define soil with default soil params (4 layers)
examplesoil <- defaultSoilParams(4)
#Initialize control parameters
control <- defaultControl("Granier")
#Initialize input
x1 <- spwbInput(exampleforest,examplesoil, SpParamsMED, control)
#Call simulation function
S1 <- spwb(x1, examplemeteo, latitude = 41.82592, elevation = 100)
#Evaluate fire hazard
F1 <- fireHazard(S1, SpParamsMED, exampleforest)