trlremeasu: Tree-level remeasurements for a sample plot in a Pinus...

In biometrics: Functions and Datasets for Forest Biometrics and Modelling

Tree-level remeasurements for a sample plot in a Pinus radiata plantation

Description

Temporal tree-level data from a sample plot established in a Monterey pine (Pinus radiata) forestry plantation in Chile. The plot size is 1600 m^{2}, and the plantation was established in 1990.

Usage

data(trlremeasu)

Format

Tree list data for a sample plot remeasured through time, and having the following columns

plot.id

Plot code.

tree

Tree number.

x.coord

Cartesian position in the X-axis, in m.

y.coord

Cartesian position in the Y-axis, in m.

year

Measurement year.

dead

Dead identificator, 0 means alive, and 1 otherwise.

dbh

diameter at breast-height, in cm.

Source

Data were retrieved from the paper cited below, where several details might be worth reading.

References

- Pommerening A, Trincado G, Salas-Eljatib C, Burkhart H. 2023. Understanding and modelling the dynamics of data point clouds of relative growth rate and plant size. Forest Ecology and Management Volume 529:120652 \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.foreco.2022.120652")}

Examples

data(trlremeasu)    
head(trlremeasu)
df<-trlremeasu
df$fe<-10000/1600
df$garb.ha<- (pi/40000)*df$dbh^2*df$fe
gha.t<-tapply(df$garb.ha, df$year, sum)
nha.t<-tapply(df$fe, df$year, sum);
time<-as.numeric(rownames(gha.t))
plot(nha.t~time, type="b",las=1)
plot(gha.t~time, type="b",las=1)

biometrics documentation built on April 4, 2025, 12:35 a.m.