BIOMASS (version 2.1.8)

param_7: Posterior distribution of parameters associated with the equation 7 by Chave et al. 2014.

Description

This matrix contains the posterior distribution of the parameters of the Equation 7 of Chave et al., (2014), obtained in a Bayesian framework with uninformative priors through a Metropolis algorithm.

Usage

data("param_7")

Format

A data frame with 1001 observations on the following 9 variables.

• intercept: Vector of intercept values

• logwsg: Vector of the model coefficients associated with log(wood density)

• logdbh: Vector of the model coefficients associated with log(diameter)

• logdbh2: Vector of the model coefficients associated with log(diameter)^2

• E: Vector of the model coefficients associated with the environmental index E

• sd: Vector of model residual standard error (RSE) values

• temp: Vector of the model coefficients associated with temperature seasonality

• cwd: Vector of the model coefficients associated with climatic water deficit

• prec: Vector of the model coefficients associated with precipitation seasonality

Details

This dataset is used in the function AGBmonteCarlo().

References

Chave et al. (2014) Improved allometric models to estimate the aboveground biomass of tropical trees, Global Change Biology, 20 (10), 3177-3190

Examples

# NOT RUN {
data(param_7)
str(param_7)
# }