| Title: | Tree Height Response Calibration for Swedish Forests |
| Type: | Package |
| Version: | 1.0.0 |
| Date: | 2023-12-01 |
| Description: | A tool that allows users to estimate tree height in the long-term forest experiments in Sweden. It utilizes the multilevel nonlinear mixed-effect height models developed for the forest experiments and consists of four functions for the main species, other conifer species, and other broadleaves. Each function within the system returns a data frame that includes the input data and the estimated heights for any missing values. Ogana et al. (2023) <doi:10.1016/j.foreco.2023.120843>\n Arias-Rodil et al. (2015) <doi:10.1371/JOURNAL.PONE.0143521>. |
| Encoding: | UTF-8 |
| RoxygenNote: | 7.2.3 |
| LazyData: | TRUE |
| Imports: | Matrix, magic, Deriv (≥ 1.0), dplyr (≥ 1.0.0), tidyr (≥ 1.1.0) |
| Depends: | R (≥ 3.5.0) |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Packaged: | 2023-12-19 12:14:47 UTC; fnogana23 |
| Author: | Friday Nwabueze Ogana
 [aut, cre],
Manuel Arias-Rodil [aut] |
| Maintainer: | Friday Nwabueze Ogana <ogana_fry@yahoo.com> |
| Repository: | CRAN |
| Date/Publication: | 2023-12-19 20:10:02 UTC |
Tree data from the long-term forest experiments in Sweden
Description
A subset of the data used for the development of multilevel mixed-effect height functions for the Swedish long-term forest experiments Report ...
Usage
data(Treeht)
Format
Treeht
A data frame with 334 rows and 9 columns:
- yta
Plot number
- rev
Revision number
- t_l
Species code
- hojd
Sampled tree height in meters
- dia
Diameter at breast height in centimeter
- hdom
Height of the tree with the largest diameter per plot regardless of the species
- ddom
Largest diameter per plot regardless of the species
- QMD
Quadratic mean diameter in centimeter per plot
- G
Basal area in meter square per hectare
Source
doi:10.1016/j.foreco.2023.120843
Examples
data(Treeht)
Tree data from the long-term forest experiments in Sweden
Description
A subset of the data used for the development of multilevel mixed-effect height functions for the Swedish long-term forest experiments. For illustration purpose, the species code was changed. Report ...
Usage
data(broad)
Format
broad
A data frame with 117 rows and 9 columns:
- yta
Plot number
- rev
Revision number
- t_l
Species code
- hojd
Sampled tree height in meters
- dia
Diameter at breast height in centimeter
- hdom
Height of the tree with the largest diameter per plot regardless of the species
- ddom
Largest diameter per plot regardless of the species
- QMD
Quadratic mean diameter in centimeter per plot
- G
Basal area in meter square per hectare
Source
doi:10.1016/j.foreco.2023.120843
Examples
data(broad)
A response calibration function for the other broadleaves
Description
This function performs a response calibration of the height function for other broadleaves. The other broadleaves include Black alder, Grey alder, Trembling aspen, Beech, Small-leaved lime, Rowan, Goat willow, Poplars, and other deciduous species. This function is not recommended for Oak species.
Usage
broadleaves(DATA)
Arguments
DATA |
data frame containing at least yta, rev, t_l, dia, hdom, ddom, and hojd. |
Value
data frame with estimated height
Note
yta: plot number, rev: revision, t_l: species code, dia: diameter at breast height, hdom: height of the tree with the largest diameter (ddom) regardless of the species (m), hojd: sample tree height with missing values. In cases where hdom is not present in the inventory data, site index (SI) can serve as an alternative, although the estimated height may exhibit slight variations.
Author(s)
Ogana F.N. and Arias-Rodil M.
References
Ogana et al. (2023) https://doi.org/10.1016/j.foreco.2023.120843
Arias-Rodil et al. (2015) https://doi.org/10.1371/JOURNAL.PONE.0143521
See Also
conifers(), which estimate the tree height of other conifer species.
Examples
library(THREC)
# sample data
data(broad)
broadleaves(broad)
A response calibration function for the other conifer species
Description
This function performs a response calibration of the height function for other conifer species. The other conifer species include: Silver fir, Douglas fir, Sitka spruce, Siberian larch, European larch, other larch, Lodgepole pine, other fir, other spruces.
Usage
conifers(DATA)
Arguments
DATA |
data frame containing at least yta, rev, t_l, dia, hdom, ddom, and hojd. |
Value
data frame with estimated height
Note
yta: plot number, rev: revision, t_l: species code, dia: diameter at breast height, hdom: height of the tree with the largest diameter (ddom) regardless of the species (m), hojd: sample tree height with missing values. In cases where hdom is not present in the inventory data, site index (SI) can serve as an alternative, although the estimated height may exhibit slight variations.
Author(s)
Ogana F.N. and Arias-Rodil M.
References
Ogana et al. (2023) https://doi.org/10.1016/j.foreco.2023.120843
Arias-Rodil et al. (2015) https://doi.org/10.1371/JOURNAL.PONE.0143521
See Also
broadleaves(), which estimate the tree height of 'other broadleaves'.
Examples
library(THREC)
# sample data
data(broad)
conifers(broad)
Main species generalized function response calibration
Description
This function performs a response calibration for main species at once. The main species include Scots pine, Norway spruce, and birch.
Usage
main_species(DATA)
Arguments
DATA |
data frame containing at least yta, rev, t_l, dia, QMD, G, hdom, and hojd. |
Value
data frame with estimated height
Note
yta: plot number, rev: revision, t_l: species code, dia: diameter at breast height, QMD: quadratic mean diameter, G: basal area per ha, hdom: height of the tree with the largest diameter (ddom) regardless of the species (m), hojd: sample tree height with missing values. In cases where hdom is not present in the inventory data, site index (SI) can serve as an alternative, although the estimated height may exhibit slight variations.
Author(s)
Ogana F.N. and Arias-Rodil M.
References
Ogana et al. (2023) https://doi.org/10.1016/j.foreco.2023.120843
Arias-Rodil et al. (2015) https://doi.org/10.1371/JOURNAL.PONE.0143521
See Also
species_specific(), which estimate the tree height of the main species based on species-specific height functions.
Examples
library(THREC)
# sample data
data(Treeht)
main_species(Treeht)
Species-specific response calibration for Scots pine, Norway spruce, and Birch
Description
This function uses the plot- and revision-level random effects to predict missing tree height of Scots pine, Norway spruce and birch. It contains the species-specific height functions.
Usage
species_specific(DATA)
Arguments
DATA |
data frame containing at least yta, rev, t_l, dia, QMD, G, hdom, hojd. |
Value
data frame with estimated height
Note
yta: plot number, rev: revision, t_l: species code (1: Scot pine; 2: Norway spruce; 3: Silver birch; 4: Downy birch), dia: diameter at breast height, QMD: quadratic mean diameter, G: basal area per ha, hdom: height of the tree with the largest diameter (ddom) regardless of the species (m), hojd: sample tree height with missing values. In cases where hdom is not present in the inventory data, site index (SI) can serve as an alternative, although the estimated height may exhibit slight variations.
Author(s)
Ogana F.N. and Arias-Rodil M.
References
Ogana et al. (2023) https://doi.org/10.1016/j.foreco.2023.120843
Arias-Rodil et al. (2015) https://doi.org/10.1371/JOURNAL.PONE.0143521
See Also
main_species(), which estimate the tree height of the main species based on equation 16 i.e., generalized function with species as a covariate (dummy variable).
Examples
library(THREC)
# sample data
data(Treeht)
species_specific(Treeht)