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The global wood density database

Source: R/data_documentation.R
wsg_estimates.Rd

The Global Wood Density Database v.2 (GWDD v.2) (Fischer, F. J., et al. 2026).

Usage

data("wsg_estimates")

Format

A data frame with 20332 observations on the following 6 variables.

  • family: a character vector indicating the family

  • genus: a character vector indicating the genus

  • species: a character vector indicating the species

  • wsg: a numeric vector of mean wood density of a population (g/cm^3) at taxonomic level

  • sd: a numeric vector of standard deviation of wood density of a popuation (g/cm^3) at taxonomic level

  • level_tax: a character vector of taxonomic level (namely family or genus or species)

Source

Fischer, F. J., et al. (2026). Global Wood Density Database v.2 (GWDD v.2) (Data set). Zenodo. https://doi.org/10.5281/zenodo.18262736

Details

This dataset is used in the function getWoodDensity(), to estimate a taxon-average wood density value.

References

Fischer, F. J., et al. (2026). Beyond species means - the intraspecific contribution to global wood density variation. New Phytol. https://doi.org/10.1111/nph.70860

Examples

data(wsg_estimates)
str(wsg_estimates)
#> 'data.frame':	20332 obs. of  6 variables:
#>  $ family   : chr  "Acanthaceae" "Acanthaceae" "Acanthaceae" "Acanthaceae" ...
#>  $ genus    : chr  NA "Acanthus" "Acanthus" "Aphelandra" ...
#>  $ species  : chr  NA NA "Acanthus montanus" NA ...
#>  $ wsg      : num  0.494 0.443 0.443 0.563 0.563 ...
#>  $ sd       : num  0.1565 0.0813 0.0813 0.093 0.093 ...
#>  $ level_tax: chr  "family" "genus" "species" "genus" ...