species_specific {THREC}

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)