Package 'THREC'

Title: Tree Height Response Calibration for Swedish Forests
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>.
Authors: Friday Nwabueze Ogana [aut, cre] , Manuel Arias-Rodil [aut]
Maintainer: Friday Nwabueze Ogana <[email protected]>
License: GPL (>= 3)
Version: 1.0.0
Built: 2024-12-14 06:39:00 UTC
Source: CRAN

Help Index


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)

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)