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.
data("param_7")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
This dataset is used in the function AGBmonteCarlo().
Chave et al. (2014) Improved allometric models to estimate the aboveground biomass of tropical trees, Global Change Biology, 20 (10), 3177-3190