trlsmoopsp {biometrics} | R Documentation |
Smoothed tree list data from permanent sample plots
Description
Temporal tree-level variables (smoothed-values) within four sample plots
in an experimental forest in Austria. The dataframe contains all
the variables for all trees, where observation gaps were
filled from monotone increasing predictive functions.
Plot sizes are 2500 m^{2}
(approx.) and the current dataframe
only keeps the measurement years having a more reliable amount of records.
Usage
data(trlsmoopsp)
Format
Contains tree-level variables, as follows:
- plot
Plot number.
- tree
Tree identificator.
- year
Year of measurement.
- species
Species code as follows: PCAB=Picea abies, LADC=Larix decidua, PNSY=Pinus sylvestris, FASY=Fagus Sylvatica, QCPE=Quercus petraea, BTPE=Betula pendula.
- obs
Observation in this year.
- dbh
Diameter at breast-height, in cm.
- toth
Tree height, in m.
- hcb
Height to the crown base, in m.
Source
The Austrian Research Center for Forests established a spacing experiment with Norway spruce (Picea abies) in the Vienna Woods. In the 'Hauersteig' experiment, several tree-level variables were measured within four sample plots over time. Data were retrieved from the paper cited below, where several details might be worth reading.
References
- Kindermann G. Kristofel F, Neumann M, Rossler G, Ledermann T & Schueler. 2018. 109 years of forest growth measurements from individual Norway spruce trees. Sci. Data 5:180077 doi:10.1038/sdata.2018.77
Examples
data(trlsmoopsp)
df<-trlsmoopsp
head(df)
table(df$year,df$plot)
tapply(df$dbh, list(df$year,df$plot), length)