Function spwb_rockOptimization
finds optimum rock fragment content in the soil
corresponding to given vegetation, weather and target percent loss
of conductance (PLC), following the method described in Druel et al. (2023).
Usage
spwb_rockOptimization(
x,
soil,
SpParams,
control,
meteo,
PLC90_target = 12,
PLC90_tol = 0.5,
max_simu = 7,
model_varLim = 10,
max_rocks = 99,
verbose = FALSE,
...
)
Arguments
- x
An object of class
forest
.- soil
An object of class
data.frame
orsoil
, containing soil parameters per soil layer.- SpParams
A data frame with species parameters (see
SpParamsDefinition
andSpParamsMED
).- control
A list with default control parameters (see
defaultControl
).- meteo
A data frame with daily meteorological data series (see
spwb
).- PLC90_target
Stem PLC target (quantile 90).
- PLC90_tol
Limit of the PLC target tolerance, only in some conditions.
- max_simu
Maximum of simulation authorized before stopping.
- model_varLim
Limit of the soil extractable water (SEW) variation of the model accepted.
- max_rocks
Maximum content in coarse fragments allowed for any soil layer.
- verbose
A logical value. Print the internal messages of the function?
- ...
Additional parameters to function
spwb
.
Value
Function spwb_rockOptimization
returns a list containing the estimated rock fragment content,
the corresponding soil extractable water and a dataframe of simulation results needed for the estimation.
Details
The function performs a model inversion based on an ecohydrological assumption, consisting in that forest leaf area index is in equilibrium with a low embolism rate under normal conditions. This is translated in that the 90% interannual quantile of the maximum annual percent loss of conductance (PLC), averaged over plant cohorts, should be close to a target PLC value (by default 12%).
References
Druel, A., Martins, N., Cochard, H., De Caceres, M., Delzon, S., Mencuccini, M., Torres-Ruiz, J., and Ruffault, J.: European forest vulnerability to hydraulic failure: an ecohydrological approach, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-17068, https://doi.org/10.5194/egusphere-egu23-17068, 2023.
Examples
# \donttest{
#Load example daily meteorological data
data(examplemeteo)
#Load example plot plant data
data(exampleforest)
#Default species parameterization
data(SpParamsMED)
#Initialize soil with two layers
examplesoil <- defaultSoilParams(4)
#Rock fragment content optimization (Granier)
spwb_rockOptimization(exampleforest, soil = examplesoil,
SpParams = SpParamsMED, meteo = examplemeteo,
control = defaultControl("Granier"),
elevation = 100, latitude = 41.82592)
#> $SEW
#> [1] 27.45323
#>
#> $RFC
#> [1] 67.03856 99.00000 99.00000 99.00000
#>
#> $SimulationTable
#> SEW PLC90
#> 1 0.00 1.000000e+02
#> 2 200.00 4.542664e-05
#> 3 50.00 7.378693e-01
#> 4 8.08 7.094278e+01
#>
# }