trlpsptime | R Documentation |
Temporal tree-level data within four sample plots
in an experimental forest in Austria. The dataframe contains several
tree-level variables. Plot sizes are 2500 m^{2}
(approx.)
and the current dataframe only keeps the measurement years having
a more reliable amount of records.
data(trlpsptime)
Contains tree-level variables, as follows:
Plot number.
Tree identificator.
Species code as follows: PCAB=Picea abies, LADC=Larix decidua, PNSY=Pinus sylvestris, FASY=Fagus Sylvatica, QCPE=Quercus petraea, BTPE=Betula pendula.
Year of measurement.
Observation.
Diameter at breast-height, in mm.
Orthogonal measured second diameter, in mm.
Selection criteria to measure tree height. 1=systematic, 2=systematic and in the group of the 100 thickest, 3=belongs to the 100 thickest, 4=lying tree, 5:Standing tree with a ladder, 6=outlier, 7=from stem analysis.
Type of the height measurement. 0:tree height, 1:angle and distances.
Tree height in dm when kh=0. When kh=1 then distance to the tree in dm or in 1977 length of the base bar in cm.
Height to the crown base in dm when kh=0. When kh=1 then angle to the tree top in 1/10 degree.
Crown width in dm when kh=0. When kh=1 then angle to 1.3 m above tree base in 1/10 degree.
Angle to crown base in 1/10 degree.
Crown class according to Kraft. 1=predominant, 2=dominant, 3=co-dominant, 4=dominated, 5=overtopped.
Crown quality. 0=normal, 1=broken in the crown region, 2=substituted tree top, 3=forked, 4=bushy, stork nest, witches' broom, 5=wizen tree top, 6=again broken tree top.
Stem quality. 0=typical, 1=crooked, 2=abiotic damaged, 3=biotic damaged, 4=forked stem without damage, 5=forked stem with damage, 6=up to 1/3 of the girth is peeled, 7=more than 1/3 of the girth is peeled, 8=broken stem, 9=other stem damages.
crown defoliation. 1=low, 2=medium, 3=much.
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.
- 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 \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1038/sdata.2018.77")}
data(trlpsptime)
df<-trlpsptime
head(df)
tapply(df$dbh, list(df$year,df$plot), mean)
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