From 5dc2be82a0fb6acd0305574c4a15fd1d8e657e4c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Miquel=20De=20C=C3=A1ceres?= Date: Sat, 1 Jun 2024 16:51:20 +0200 Subject: [PATCH] cli-26414-1266 --- articles/intro/PackageOverview.html | 14 ++- articles/intro/UnderstandingInputs.html | 8 +- pkgdown.yml | 2 +- reference/fire_behaviour.html | 96 ++++------------ reference/fuel_properties.html | 41 +------ reference/fuel_windAdjustmentFactor.html | 136 +++++++++++++++++++++++ reference/index.html | 110 ++---------------- reference/plot.forest-1.png | Bin 53039 -> 54386 bytes sitemap.xml | 3 + 9 files changed, 184 insertions(+), 226 deletions(-) create mode 100644 reference/fuel_windAdjustmentFactor.html diff --git a/articles/intro/PackageOverview.html b/articles/intro/PackageOverview.html index ec9a77ebd..e535afef5 100644 --- a/articles/intro/PackageOverview.html +++ b/articles/intro/PackageOverview.html @@ -218,10 +218,14 @@

Plant, species and stand attributes<

Sub-model functions

-

Many of the functions included in medfate are internally -called by simulation functions. Some of them are made available to the -user to facilitate a deeper understanding the different sub-models and a -more creative use of the package, but most users can ignore them.

+

Many of the functions included in medfate are +internally called by simulation functions. Some of them are made +available to the user to facilitate a deeper understanding the different +sub-models and a more creative use of the package, but most users can +ignore them. For this reason, since v.4.3.2 sub-model +functions are labelled as internal, meaning that they are +accessible and documented, but they are not visible in reference list, +so that the sheer number of functions does not overwhelm users.

Sub-model functions are grouped by subject, which is included in the name of the function. The different sub-model functions are (by subject):

@@ -232,7 +236,7 @@

Sub-model functionsBelowground data
-Z50 = c(exampleforest$treeData$Z50, exampleforest$shrubData$Z50)
-Z95 = c(exampleforest$treeData$Z95, exampleforest$shrubData$Z95)
+Z50 <- c(exampleforest$treeData$Z50, exampleforest$shrubData$Z50) +Z95 <- c(exampleforest$treeData$Z95, exampleforest$shrubData$Z95)

These parameters specify a continuous distribution of fine roots. Users can visually inspect the distribution of fine roots of forest objects by calling function @@ -1516,7 +1516,7 @@

Initialized soil objectsoil (also a data frame) that is created using a function with the same name:

-examplesoil = soil(spar)
+examplesoil <- soil(spar)
 class(examplesoil)
## [1] "soil"       "data.frame"

In addition to the physical soil description, this object contains @@ -1703,7 +1703,7 @@

Simulation controldefaultControl():

-control = defaultControl()
+control <- defaultControl()
 names(control)
##   [1] "fillMissingRootParams"            "fillMissingSpParams"             
 ##   [3] "fillMissingWithGenusParams"       "verbose"                         
diff --git a/pkgdown.yml b/pkgdown.yml
index a067a0a3e..3a0efe780 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -16,5 +16,5 @@ articles:
   SensitivityCalibration: modelanalysis/SensitivityCalibration.html
   StandLevelEvaluation: evaluation/StandLevelEvaluation.html
   UnderstandingInputs: intro/UnderstandingInputs.html
-last_built: 2024-06-01T13:24Z
+last_built: 2024-06-01T14:37Z
 
diff --git a/reference/fire_behaviour.html b/reference/fire_behaviour.html
index 727445593..e8d4fd531 100644
--- a/reference/fire_behaviour.html
+++ b/reference/fire_behaviour.html
@@ -222,7 +222,26 @@ 

Examples

data(SpParamsMED) #Calculate fuel properties according to FCCS -fccs = fuel_FCCS(exampleforest, SpParamsMED) +fccs <- fuel_FCCS(exampleforest, SpParamsMED) +fccs +#> w cover hbc htc habc hatc delta rhob rhop +#> canopy 0.52550038 100.00 2.7 7.1 2.6 7.9 4.791658510 0.10966983 592.0044 +#> shrub 0.01407945 3.75 0.0 0.1 0.1 0.8 0.642625347 0.02190927 412.0091 +#> herb 0.01929299 10.00 0.0 NA 0.0 NA 0.200000000 0.09646495 400.0000 +#> woody 0.16542073 NA 0.0 NA 0.0 NA 0.006258824 26.43000000 438.9106 +#> litter 0.23060466 NA 0.0 NA 0.0 NA 0.011699765 19.71019565 370.9679 +#> PV beta betarel etabetarel sigma pDead +#> canopy 9.181138e-04 1.916067e-04 0.1276082 0.3053187 5284.915 0.0004081897 +#> shrub 3.417267e-05 5.317666e-05 0.2856939 0.5836066 4141.000 0.1448400000 +#> herb 4.823248e-05 2.411624e-04 0.6924824 0.9418071 11483.000 0.0000000000 +#> woody 3.768894e-04 6.021728e-02 0.6924824 0.9418071 1601.050 1.0000000000 +#> litter 6.216297e-04 5.313181e-02 9.1968815 0.1441747 7401.336 1.0000000000 +#> FAI h RV MinFMC MaxFMC ActFMC +#> canopy 5.0076821 21059.75 8.876630e-04 75.21455 113.45355 NA +#> shrub 0.1415090 20117.67 3.417267e-05 63.64891 96.53441 NA +#> herb 0.5538535 18608.00 4.823248e-05 NA NA NA +#> woody 0.6034187 18608.00 3.768894e-04 NA NA NA +#> litter 4.6008905 18608.00 6.216297e-04 NA NA NA #Calculate fire behavior according to FCCS fire_FCCS(fccs) @@ -341,81 +360,6 @@

Examples

#> #> -#Load fuel model parameter data -data(SFM_metric) - -#Fuel stratification (returns heights in cm) -fs = fuel_stratification(exampleforest, SpParamsMED) - -#Correct windspeed (transform heights to m) -u = 11 #m/s -umf = u*fuel_windAdjustmentFactor(fs$surfaceLayerTopHeight/100, - fs$canopyBaseHeight/100, - fs$canopyTopHeight/100, 60) - -#Call Rothermel function using fuel model 'A6' -fire_Rothermel(modeltype="D", wSI = as.numeric(SFM_metric["A6",2:6]), - sSI = as.numeric(SFM_metric["A6",7:11]), - delta = as.numeric(SFM_metric["A6",12]), - mx_dead = as.numeric(SFM_metric["A6",13]), - hSI = as.numeric(SFM_metric["A6",14:18]), - mSI = c(10,10,10,30,60), - u=umf, windDir=0, slope=0, aspect=0) -#> $`Characteristic dead fuel moisture [%]` -#> [1] 10 -#> -#> $`Characteristic live fuel moisture [%]` -#> [1] 0 -#> -#> $`Live fuel moisture of extinction [%]` -#> [1] 25 -#> -#> $`Characteristic SAV [m2/m3]` -#> [1] 5129.366 -#> -#> $`Bulk density [kg/m3]` -#> [1] 1.95 -#> -#> $`Packing ratio [dimensionless]` -#> [1] 0.003804203 -#> -#> $`Relative packing ratio [dimensionless]` -#> [1] 0.4689126 -#> -#> $`Dead fuel Reaction intensity [kW/m2]` -#> [1] 365.233 -#> -#> $`Live fuel Reaction intensity [kW/m2]` -#> [1] 0 -#> -#> $`Reaction intensity [kW/m2]` -#> [1] 365.233 -#> -#> $`Fireline intensity [kW/m]` -#> [1] 1098.626 -#> -#> $`Wind factor [dimensionless]` -#> [1] 25.10229 -#> -#> $`Slope factor [dimensionless]` -#> [1] 0 -#> -#> $`Slope-wind vector` -#> [1] 25.102291 3.141593 -#> -#> $`Virtual wind speed [m/s]` -#> [1] 2.881842 -#> -#> $`Heat source [kW/m2]` -#> [1] 283.3707 -#> -#> $`Heat sink [kJ/m3]` -#> [1] 1388.106 -#> -#> $`ROS [m/min]` -#> [1] 12.24693 -#> -
diff --git a/reference/fuel_properties.html b/reference/fuel_properties.html index ebde01daa..9e00a5a34 100644 --- a/reference/fuel_properties.html +++ b/reference/fuel_properties.html @@ -1,8 +1,7 @@ Fuel stratification and fuel characteristics — fuel_properties • medfate @@ -57,8 +56,7 @@

Fuel stratification and fuel characteristics

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).

+following an adaptation of the protocols described for the Fuel Characteristics Classification System (Prichard et al. 2013).

@@ -80,13 +78,6 @@

Fuel stratification and fuel characteristics

maxHeightProfile = 5000, bulkDensityThreshold = 0.05, depthMode = "crownaverage" -) - -fuel_windAdjustmentFactor( - topShrubHeight, - bottomCanopyHeight, - topCanopyHeight, - canopyCover )
@@ -126,22 +117,6 @@

Arguments

  • "absoluteprofile": As the difference of absolute base and absolute top heights in bulk density profiles.

  • - -
    topShrubHeight
    -

    Shrub stratum top height (in m).

    - - -
    bottomCanopyHeight
    -

    Canopy base height (in m).

    - - -
    topCanopyHeight
    -

    Canopy top height (in m).

    - - -
    canopyCover
    -

    Canopy percent cover.

    -

    Value

    @@ -175,16 +150,10 @@

    Value

  • 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.

    -
    +

    References

    -

    Andrews, P. L. 2012. Modeling wind adjustment factor and midflame wind speed for Rothermel’s surface fire spread model. USDA Forest Service - General Technical Report RMRS-GTR:1–39.

    -

    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.

    +

    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 273–282.

    @@ -259,8 +228,6 @@

    Examples

    #> woody 0.6034187 18608.00 3.768894e-04 NA NA NA #> litter 4.6008905 18608.00 6.216297e-04 NA NA NA -fuel_windAdjustmentFactor(fccs$htc[2], fccs$hbc[1], fccs$htc[1], fccs$cover[1]) -#> [1] 0.2029332
    diff --git a/reference/fuel_windAdjustmentFactor.html b/reference/fuel_windAdjustmentFactor.html new file mode 100644 index 000000000..9af6f23c6 --- /dev/null +++ b/reference/fuel_windAdjustmentFactor.html @@ -0,0 +1,136 @@ + +Wind adjustment factor for Rothermel's model — fuel_windAdjustmentFactor • medfate + + +
    +
    + + + +
    +
    + + +
    +

    Function fuel_windAdjustmentFactor determines the adjustment factor of wind for surface fires, according to Andrews (2012).

    +
    + +
    +
    fuel_windAdjustmentFactor(
    +  topShrubHeight,
    +  bottomCanopyHeight,
    +  topCanopyHeight,
    +  canopyCover
    +)
    +
    + +
    +

    Arguments

    +
    topShrubHeight
    +

    Shrub stratum top height (in m).

    + + +
    bottomCanopyHeight
    +

    Canopy base height (in m).

    + + +
    topCanopyHeight
    +

    Canopy top height (in m).

    + + +
    canopyCover
    +

    Canopy percent cover.

    + +
    +
    +

    Value

    + + +

    A scalar value between 0 and 1

    +
    +
    +

    References

    +

    Andrews, P. L. 2012. Modeling wind adjustment factor and midflame wind speed for Rothermel’s surface fire spread model. USDA Forest Service - General Technical Report RMRS-GTR:1–39.

    +
    + +
    +

    Examples

    +
    #Load example plot plant data
    + data(exampleforest)
    +  
    +#Default species parameterization
    +data(SpParamsMED)
    +
    +#Calculate fuel properties according to FCCS
    +fccs <- fuel_FCCS(exampleforest, SpParamsMED)
    +
    +# Estimate wind adjustment factor
    +fuel_windAdjustmentFactor(fccs$htc[2], fccs$hbc[1], fccs$htc[1], fccs$cover[1])
    +#> [1] 0.2029332
    +
    +
    +
    +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.0.9.

    +
    + +
    + + + + + + + + diff --git a/reference/index.html b/reference/index.html index 6d1eb563e..a5691b572 100644 --- a/reference/index.html +++ b/reference/index.html @@ -122,25 +122,13 @@

    Forest structure -

    Roots

    -

    Belowground structure

    - - -

    root_conicDistribution() root_ldrDistribution() root_individualRootedGroundArea() root_specificRootSurfaceArea() root_fineRootRadius() root_fineRootHalfDistance() root_fineRootAreaIndex() root_fineRootBiomass() root_rhizosphereMaximumConductance() root_fineRootSoilVolume() root_coarseRootSoilVolumeFromConductance() root_coarseRootLengthsFromVolume() root_coarseRootLengths() root_coarseRootSoilVolume() root_horizontalProportions()

    - -

    Root functions

    - -

    Meteorology and physics

    -

    Forest meteorology and environmental physics

    +

    Meteorology

    +

    Meteorological forcing

    examplemeteo

    Example daily meteorology data

    - -

    wind_canopyTurbulenceModel() wind_canopyTurbulence()

    - -

    Models for canopy turbulence

    Soil

    Soil initialization

    @@ -186,7 +174,7 @@

    Simulation inputs

    Reset simulation inputs

    -

    Simulation

    +

    Simulation functions

    Simulation model functions

    @@ -209,10 +197,6 @@

    Simulation fordyn()

    Forest dynamics

    - -

    initSureauNetworks() semi_implicit_integration()

    - -

    Sureau-ECOS inner functions for testing only

    Plots and summaries

    Summaries, extraction and plots of simulation results

    @@ -274,68 +258,8 @@

    Model analysis

    Multiple model runs and function factories for optimization routines

    -

    Phenology

    -

    Leaf phenology processes

    - - -

    Hydraulics

    -

    Plant hydraulic processes

    - - -

    hydraulics_psi2K() hydraulics_K2Psi() hydraulics_averagePsi() hydraulics_xylemConductance() hydraulics_xylemPsi() hydraulics_psiCrit() hydraulics_vanGenuchtenConductance() hydraulics_correctConductanceForViscosity() hydraulics_psi2Weibull() hydraulics_vulnerabilityCurvePlot()

    - -

    Hydraulic confuctance functions

    - -

    hydraulics_proportionDefoliationSigmoid() hydraulics_proportionDefoliationWeibull()

    - -

    Hydraulic-related defoliation

    - -

    hydraulics_maximumSoilPlantConductance() hydraulics_soilPlantResistances() hydraulics_averageRhizosphereResistancePercent() hydraulics_findRhizosphereMaximumConductance() hydraulics_taperFactorSavage() hydraulics_terminalConduitRadius() hydraulics_referenceConductivityHeightFactor() hydraulics_maximumStemHydraulicConductance() hydraulics_rootxylemConductanceProportions()

    - -

    Scaling from conductivity to conductance

    - -

    hydraulics_EXylem() hydraulics_E2psiXylem() hydraulics_E2psiXylemUp() hydraulics_EVanGenuchten() hydraulics_ECrit() hydraulics_E2psiVanGenuchten() hydraulics_E2psiTwoElements() hydraulics_E2psiBelowground() hydraulics_E2psiAboveground() hydraulics_E2psiNetwork() hydraulics_supplyFunctionOneXylem() hydraulics_supplyFunctionTwoElements() hydraulics_supplyFunctionThreeElements() hydraulics_supplyFunctionBelowground() hydraulics_supplyFunctionAboveground() hydraulics_supplyFunctionNetwork() hydraulics_regulatedPsiXylem() hydraulics_regulatedPsiTwoElements() hydraulics_initSperryNetworks() hydraulics_supplyFunctionPlot()

    - -

    Hydraulic supply functions

    - -

    Hydrology

    -

    Forest hydrology processes

    - - -

    hydrology_infiltrationBoughton() hydrology_infiltrationGreenAmpt() hydrology_infiltrationRepartition() hydrology_infiltrationAmount()

    - -

    Soil infiltration

    - -

    hydrology_rainfallIntensity() hydrology_rainInterception() hydrology_interceptionPlot()

    - -

    Rainfall interception

    - -

    hydrology_soilEvaporationAmount() hydrology_soilEvaporation() hydrology_herbaceousTranspiration()

    - -

    Bare soil evaporation and herbaceous transpiration

    - -

    hydrology_soilWaterBalance()

    - -

    Soil water balance

    - -

    hydrology_snowMelt() hydrology_waterInputs()

    - -

    Water vertical inputs

    - -

    Light and photosynthesis

    -

    Light extinction and photosynthesis processes

    - - -

    light_leafAngleCDF() light_leafAngleBetaParameters() light_directionalExtinctionCoefficient() light_layerDirectIrradianceFraction() light_layerDiffuseIrradianceFraction() light_cohortSunlitShadeAbsorbedRadiation() light_layerSunlitFraction() light_instantaneousLightExtinctionAbsortion() light_longwaveRadiationSHAW()

    - -

    Advanced radiation transfer functions

    - -

    light_PARcohort() light_PARground() light_SWRground() light_cohortAbsorbedSWRFraction()

    - -

    Radiation extinction functions used in basic transpiration sub-model

    - -

    Plant transpiration

    -

    Plant transpiration processes

    +

    Plant transpiration sub-models

    +

    Plant transpiration sub-models

    transp_maximumTranspirationModel()

    @@ -350,35 +274,15 @@

    Plant transpiration

    Stomatal regulation

    -

    Carbon balance

    -

    Carbon balance processes

    - - -

    carbon_sugarStarchDynamicsLeaf() carbon_sugarStarchDynamicsStem() carbon_osmoticWaterPotential() carbon_sugarConcentration() carbon_relativeSapViscosity() carbon_leafStructuralBiomass() carbon_leafStarchCapacity() carbon_sapwoodStructuralBiomass() carbon_sapwoodStructuralLivingBiomass() carbon_sapwoodStarchCapacity() carbon_carbonCompartments()

    - -

    Carbon-related functions

    - -

    Regeneration

    -

    Seed production, recruitment and resprouting processes

    - - -

    regeneration_seedproduction() regeneration_seedrefill() regeneration_seedmortality() regeneration_recruitment() regeneration_resprouting()

    - -

    Plant regeneration

    - -

    Water content

    -

    Plant/tissue water contents

    - -

    Wildfire

    -

    Fuel characteristics, fire behaviour and fire severity

    +

    Fuel characteristics and fire behaviour

    fire_FCCS() fire_Rothermel()

    Fire behaviour functions

    -

    fuel_stratification() fuel_FCCS() fuel_windAdjustmentFactor()

    +

    fuel_stratification() fuel_FCCS()

    Fuel stratification and fuel characteristics

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