plant_values | R Documentation |
Functions to calculate attributes of woody plants in a forest
object.
plant_ID(x, SpParams, treeOffset = 0L, shrubOffset = 0L)
plant_basalArea(x, SpParams)
plant_largerTreeBasalArea(x, SpParams, self_proportion = 0.5)
plant_cover(x, SpParams)
plant_species(x, SpParams)
plant_speciesName(x, SpParams)
plant_density(x, SpParams)
plant_height(x, SpParams)
plant_individualArea(x, SpParams)
plant_crownRatio(x, SpParams)
plant_crownBaseHeight(x, SpParams)
plant_crownLength(x, SpParams)
plant_foliarBiomass(x, SpParams, gdd = NA_real_, competitionEffect = TRUE)
plant_fuelLoading(x, SpParams, gdd = NA_real_, includeDead = TRUE)
plant_equilibriumLeafLitter(x, SpParams, AET = 800)
plant_equilibriumSmallBranchLitter(
x,
SpParams,
smallBranchDecompositionRate = 0.81
)
plant_phytovolume(x, SpParams)
plant_LAI(
x,
SpParams,
gdd = NA_real_,
bounded = TRUE,
competitionEffect = TRUE
)
plant_characterParameter(x, SpParams, parName)
plant_parameter(x, SpParams, parName, fillMissing = TRUE, fillWithGenus = TRUE)
x |
An object of class |
SpParams |
A data frame with species parameters (see |
treeOffset , shrubOffset |
Integers to offset cohort IDs. |
self_proportion |
Proportion of the target cohort included in the assessment |
gdd |
Growth degree days (to account for leaf phenology effects). |
competitionEffect |
Logical flag to indicate the inclusion of competition effect on LAI estimates. |
includeDead |
A flag to indicate that standing dead fuels (dead branches) are included. |
AET |
Actual annual evapotranspiration (in mm). |
smallBranchDecompositionRate |
Decomposition rate of small branches. |
bounded |
A boolean flag to indicate that extreme values should be prevented (maximum tree LAI = 7 and maximum shrub LAI = 3) |
parName |
A string with a parameter name. |
fillMissing |
A boolean flag to try imputation on missing values. |
fillWithGenus |
A boolean flag to try imputation of missing values using genus values. |
A vector with values for each woody plant cohort of the input forest
object:
plant_basalArea
: Tree basal area (m2/ha).
plant_largerTreeBasalArea
: Basal area (m2/ha) of trees larger (in diameter) than the tree. Half of the trees of the same record are included.
plant_characterParameter
: The parameter values of each plant, as strings.
plant_cover
: Shrub cover (in percent).
plant_crownBaseHeight
: The height corresponding to the start of the crown (in cm).
plant_crownLength
: The difference between crown base height and total height (in cm).
plant_crownRatio
: The ratio between crown length and total height (between 0 and 1).
plant_density
: Plant density (ind/ha). Tree density is directly taken from the forest object, while the shrub density is estimated from cover and height by calculating the area of a single individual.
plant_equilibriumLeafLitter
: Litter biomass of leaves at equilibrium (in kg/m2).
plant_equilibriumSmallBranchLitter
: Litter biomass of small branches (< 6.35 mm diameter) at equilibrium (in kg/m2).
plant_foliarBiomass
: Standing biomass of leaves (in kg/m2).
plant_fuelLoading
: Fine fuel load (in kg/m2).
plant_height
: Total height (in cm).
plant_ID
: Cohort coding for simulation functions (concatenation of 'T' (Trees) or 'S' (Shrub), cohort index and species index).
plant_LAI
: Leaf area index (m2/m2).
plant_individualArea
: Area (m2) occupied by a shrub individual.
plant_parameter
: The parameter values of each plant, as numeric.
plant_phytovolume
: Shrub phytovolume (m3/m2).
plant_species
: Species identity integer (indices start with 0).
plant_speciesName
: String with species taxonomic name (or a functional group).
Miquel De Cáceres Ainsa, CREAF
spwb
, forest
, summary.forest
#Default species parameterization
data(SpParamsMED)
#Load example plot
data(exampleforest)
#A plant-level way to obtain stand basal area
sum(plant_basalArea(exampleforest, SpParamsMED), na.rm=TRUE)
#The analogous plant-level function for LAI
sum(plant_LAI(exampleforest, SpParamsMED))
#The analogous plant-level function for fuel loading
sum(plant_fuelLoading(exampleforest, SpParamsMED))
#Summary function for 'forest' objects can be also used
summary(exampleforest, SpParamsMED)
#Cohort IDs in the models
plant_ID(exampleforest, SpParamsMED)
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