A new algorithm for reconstructing tree height growth with stem analysis data
Description
I offer here both dataset and computing code related to a stem analysis algorithm to reconstruct height growth of trees. First, the dataset has time series records of tree height for Nothofagus alpina ("rauli"), N. dombeyi ("coigue"), N. obliqua ("roble"), and Pseudotsuga menziesii ("Douglas-fir"). The data come from stem analysis sample trees in both southern Chile and the Inland Northwest, USA. These trees are part of the ones used in an article about a new algorithm for reconstructing tree height growth. The article is published in Methods in Ecology and Evolution (https://doi.org/10.1111/2041-210x.13616). Second, I provide an R code implementing the proposed algorithm for a given dataset as example.
Notes
The datafile "dataHgSpp.dat" has the following columns:
1. tree.code: tree code
2. tree.id: tree correlative number within the species
3. spp: species common name
4. age : age, in yrs.
5. height: total height, in m.
The R code "stemAnaAlgo.R" can be run without the need to install any further package. Therefore, It is pretty straightforward.
See methods and accompanying paper in Methods in Ecology and Evolution for more details.
If you want to read this datafile in R, simply type the following syntax at the console:
df <- read.table(file="dataHgSpp.dat", header = T, skip=22)
head(df)
str(df)
For any questions, or if you want to collaborate, please refer to:
Christian Salas-Eljatib
Email: cseljatib AT gmail DOT com
Web: www.eljatib.com
Funding provided by: Fondo de Fomento al Desarrollo Científico y Tecnológico
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100008736
Award Number: ID19|10421
Funding provided by: Fondo Nacional de Desarrollo Científico y Tecnológico
Crossref Funder Registry ID:
Award Number: 1191816
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Additional details
Related works
- Is cited by
- 10.1111/2041-210x.13616 (DOI)