thefdata: Effect of thinning on individual tree growth for 62 trees.
In lmfor: Functions for Forest Biometrics
thefdata R Documentation
Effect of thinning on individual tree growth for 62 trees.
Description
Time series of estimated effect of thinning on the annual basal area growth of 62
Scots pine trees from three different thinning intensities.
Usage
data(thefdata)
Format
A data frame with 1238 observations on the following 7 variables.
PlotSample plot id, a factor with 10 levels.
TreeTree id, a factor with 55 levels (same tree id may occur on different plots!).
YearCalendar year of the ring.
SDClassThinning treatment, factor with 4 levels (1=Control, 2=Light, 3=Moderate, 4=Heavy).
CACurrent tree age in years.
Diam1986Tree diameter in 1986 (just before the thinning).
ThEfThe thinning effect in annual basal area growth, mm^2.
Details
The data are based on a long-term thinning experiment on a naturally regenerated
Scots pine stand in Eastern Finland, see documentation of afterthin and patti for details.
The experiment consists of 10
sample plots, in four different classes (including an unthinned control) according
to the post-thinning stand density. The plots were thinned in winter 1986-1987.
The undisturbed growth for each tree was predicted using a linear mixed-effect
model with crossed year and tree effect, which was fitted to a data set including the control
treatment for all calendar years and other trees until the year of thinning.
The thinning effect was computed as the difference of observed growth and the undisturbed predicted growth.
For details about the procedure used
in extracting the thinning effect, see Example 6.6 in Mehtatalo and Lappi 2020b and for nonlinear modeling of this data, see Chapter 7 of Mehtatalo and Lappi 2020a.
The data includes only the observations after the thinning year for the tree thinned treatments (i.e., control is excluded).
References
Mehtatalo, L., Peltola, H., Kilpelainen, A. and Ikonen, V.-P. 2014. The response of basal area growth
of Scots pine to thinning: A longitudinal analysis of tree-specific series using a nonlinear
mixed-effects model. Forest Science 60 (4): pp. 636-644. doi: 10.5849/forsci.13-059.
Mehtatalo, Lauri and Lappi, Juha 2020a. Biometry for Forestry and Environmental Data: with examples in R.
New York: Chapman and Hall/CRC. 426 p. doi: 10.1201/9780429173462
Mehtatalo, Lauri and Lappi, Juha 2020b. Biometry for Forestry and Environmental Data: with examples in R.
Full Versions of The Web Examples. Available at http://www.biombook.org.
See Also
patti, afterthin, thinning.
Examples
data(thefdata)
linesplot(thefdata$Year,thefdata$ThEf, thefdata$Tree,col.lin=thefdata$SDClass)
lmfor documentation built on April 30, 2022, 1:08 a.m.
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| thefdata | R Documentation |
Effect of thinning on individual tree growth for 62 trees.
Description
Time series of estimated effect of thinning on the annual basal area growth of 62 Scots pine trees from three different thinning intensities.
Usage
data(thefdata)
Format
A data frame with 1238 observations on the following 7 variables.
PlotSample plot id, a factor with 10 levels.
TreeTree id, a factor with 55 levels (same tree id may occur on different plots!).
YearCalendar year of the ring.
SDClassThinning treatment, factor with 4 levels (1=Control, 2=Light, 3=Moderate, 4=Heavy).
CACurrent tree age in years.
Diam1986Tree diameter in 1986 (just before the thinning).
ThEfThe thinning effect in annual basal area growth, mm^2.
Details
The data are based on a long-term thinning experiment on a naturally regenerated Scots pine stand in Eastern Finland, see documentation of afterthin and patti for details. The experiment consists of 10 sample plots, in four different classes (including an unthinned control) according to the post-thinning stand density. The plots were thinned in winter 1986-1987. The undisturbed growth for each tree was predicted using a linear mixed-effect model with crossed year and tree effect, which was fitted to a data set including the control treatment for all calendar years and other trees until the year of thinning. The thinning effect was computed as the difference of observed growth and the undisturbed predicted growth. For details about the procedure used in extracting the thinning effect, see Example 6.6 in Mehtatalo and Lappi 2020b and for nonlinear modeling of this data, see Chapter 7 of Mehtatalo and Lappi 2020a. The data includes only the observations after the thinning year for the tree thinned treatments (i.e., control is excluded).
References
Mehtatalo, L., Peltola, H., Kilpelainen, A. and Ikonen, V.-P. 2014. The response of basal area growth of Scots pine to thinning: A longitudinal analysis of tree-specific series using a nonlinear mixed-effects model. Forest Science 60 (4): pp. 636-644. doi: 10.5849/forsci.13-059.
Mehtatalo, Lauri and Lappi, Juha 2020a. Biometry for Forestry and Environmental Data: with examples in R. New York: Chapman and Hall/CRC. 426 p. doi: 10.1201/9780429173462
Mehtatalo, Lauri and Lappi, Juha 2020b. Biometry for Forestry and Environmental Data: with examples in R. Full Versions of The Web Examples. Available at http://www.biombook.org.
See Also
patti, afterthin, thinning.
Examples
data(thefdata) linesplot(thefdata$Year,thefdata$ThEf, thefdata$Tree,col.lin=thefdata$SDClass)
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