wdData

The global wood density database (Chave et al. 2009, Zanne et al. 2009).

datasets

internal

density

wood

getWoodDensity

Contains functions to estimate aboveground biomass/carbon and its uncertainty in tropical forests.
These functions allow to (1) retrieve and to correct taxonomy, (2) estimate wood density and its uncertainty,
(3) construct height-diameter models, (4) manage tree and plot coordinates,
(5) estimate the aboveground biomass/carbon at the stand level with associated uncertainty.
To cite 'BIOMASS', please use citation("BIOMASS").
See more in the article of Réjou-Méchain et al. (2017) <doi:10.1111/2041-210X.12753>.

Dominique Lamonica

BIOMASS

Estimating Aboveground Biomass and Its Uncertainty in Tropical
Forests

Maxime Réjou-Méchain

Guillaume Cornu

Arthur Pere

Ariane Tanguy

Camille Piponiot

Jerome Chave

Bruno Hérault

Ted Feldpausch

Philippe Verley

wdData function

A data frame with 16467 observations on the following 7 variables.<ul>
<li><code>family</code>: a character vector indicating the family</li>
<li><code>genus</code>: a character vector indicating the genus</li>
<li><code>species</code>: a character vector indicating the species</li>
<li><code>wd</code>: a numeric vector of wood densities (g/cm^3)</li>
<li><code>region</code>: a character vector of regions (see <code>getWoodDensity()</code>)</li>
<li><code>referenceNumber</code>: a numeric vector of reference numbers (bibliography)</li>
<li><code>regionId</code>: a character vector of region ids</li>
</ul>

Format

The global wood density database — wdData

The global wood density database

wdData: The global wood density database

Description

Usage

Arguments

Format

Details

References

Examples