Description Usage Arguments Details Value References See Also Examples
This function wraps some features of BIOMASS::getWoodDensity()
, which you
may see for more details and options. It estimates the wood density of the
trees from their taxonomy or from their congeners using the global wood
density database (Chave et al. 2009, Zanne et al. 2009) or any additional
dataset. The resulting values of wood density can either be attributed to an
individual at the level of a species, genus, or family.
1 | add_wood_density(data, species, family = TRUE, region = "World")
|
data |
A ForestGEO-like census-dataframe. |
species |
A ForestGEO-like species-dataframe. |
family |
(optional) Vector of families. If set, the missing wood densities at the genus level will be attributed at family level if available. |
region |
Region (or vector of region) of interest of your sample. By default, Region is set to 'World', but you can restrict the WD estimates to a single region :
|
This function assigns to each taxon a species- or genus- level average if at
least one wood density value at the genus level is available for that taxon
in the reference database. If not, the mean wood density of the family (if
family = TRUE
).
As an estimate of the error associated with the wood density estimate, this function also provides the mean standard deviation value at the appropriate taxonomic level.
A dataframe as that passed to data
, but with additional columns giving
taxonomic information, and the following wood density information (oven dry
mass/fresh volume in g/cm^3):
wd_mean: Mean wood density.
wd_sd: Standard deviation of the wood density that can be used in error propagation (see sd_10 and AGBmonteCarlo()).
wd_level: Level at which wood density has been calculated. Can be species, genus, family, dataset (mean of the entire dataset) or, if stand is set, the name of the stand (mean of the current stand).
Rejou-Mechain M, Tanguy A, Piponiot C, Chave J, Herault B (2017). “BIOMASS : an R package for estimating above-ground biomass and its uncertainty in tropical forests.” Methods in Ecology and Evolution, 8(9). ISSN 2041210X, doi: 10.1111/2041-210X.12753 (URL: http://doi.org/10.1111/2041-210X.12753), <URL: http://doi.wiley.com/10.1111/2041-210X.12753>.
BIOMASS::getWoodDensity
1 2 3 | tree <- fgeo.biomass::scbi_stem_tiny_tree
species <- fgeo.biomass::scbi_species
add_wood_density(tree, species)
|
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