Description Usage Arguments Details Value Author(s) References See Also Examples
bootree
return confidence interval for biomass (AGB) from samples of trees in a plot
1 2 3 4 |
plotdata |
a data frame with a forest sample plots data. |
samplename |
character vector with the name of the column in plotdata that indicate the plots codes. |
area |
numeric, plot size in square meters. |
varnames |
vector of names variables variable diameter at breast hight, plant height and wood density, note that they should be named as 'dbh', 'H' and 'wd' respectivelly. Put only those varibles that are in plotdata and needed for alometric calculation. |
alom |
alometric function to be used, possibilities are chave burgdeli, scatena and tiopolo. Those are functions so should be write without quotes. |
quantil |
Bootstrap quantiles to return, default is 95% limite confidence interval (0.25 and 0.975 quatiles); |
nsim |
numeric number of resamples from data to calculate bootstrap. |
convtoMgha |
logical, if true convert AGB to Mg (tons) per hectar, otherwise the variable is in Kg per sample size. |
Bootstrap resamples above ground biomass of each sample, reordering the sample tag.
biomass calculation and bootstrap confidence interval, as well as standard deviation for the simulated bootstrap distribution
Alexandre Adalardo de Oliveira and Paulo Inacio Prado aleadalardo@gmail.com
SCATENA, F.N., SILVER, W., SICCAMA, T., JOHNSON, A. & SÁNCHEZ, M.J. 1993. Biomass and nutrient content of the Bisley Experimental Watersheds, Luquillo Experimental Forest, Puerto Rico, before and after Hurricane Hugo, 1989. Biotropica 25(1):15-27.
TIEPOLO, G., CALMON, M. & FERETTI, A.R. 2002. Measuring and Monitoring Carbon Stocks at the Guaraqueçaba Climate Action Project, Paraná, Brazil. In: International Symposium on Forest Carbon Sequestration and Monitoring. Extension Serie Taiwan Forestry Research Institute 153:98-115.
BURGER D.M.; DELITTI, W.B.C. allometric models for estimating the phytomass of a secondary Atlantic Forest area of southeastern Brazil. Biota Neotrop.8 (4)
chave
scatena
tiepolo
burgdeli
1 2 3 4 5 6 7 8 | ## Not run:
bio = data.frame(dbh = rnorm(10, 10, 2), H= runif(10, 2, 8),
wd = rep(0.52,10), plots = rep(c(1,2),5))
bootree(bio, samplename = "plot", varnames =c(dbh="dbh", H = "H", wd = "wd"), nsim = 10)
metaEr(cl=10, rw=10, f0=0.2, pi=0.2, ce=0.15, tmax=100)
metaCiEr(cl=10, rw=10, f0=0.2, ci=0.2, ce=0.15, tmax=100)
## End(Not run)
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