
Estimates tree height from DBH
eq_hd_vazquez_veloso_2025.Rd
This function is intended to be used in silv_predict_height()
. It implements the h-d equations
developed in Vázquez-Veloso et al. (2025). These equations have been developed using the Spanish
National Forest Inventory, and therefore, they should only be applied within Spain. The model includes
parameters for 91 tree species.
Usage
eq_hd_vazquez_veloso_2025(
species,
bioregion = "mediterranean",
origin = "natural",
mixture = "pure"
)
Arguments
- species
A character string specifying the scientific name of the tree species. It can be a column name if all the species are included in this model. See Details for available species. If not specified, it takes the value "All the species", which corresponds to a generic model applicable to all species.
- bioregion
The biogeopgrahic region of the species. Available options are:
mediterranean
,atlantic
,alpine
, andmacaronesian
. If not specified, it takes the valuemediterranean
, which is the most common region in Spain. You can check the distribution of regions here: https://ars.els-cdn.com/content/image/1-s2.0-S037811272500489X-gr1.jpg- origin
The origin of the stand. Available options are:
natural
andplantation
. If not specified, it takes the valuenatural
, which is the most common origin in Spain.- mixture
The species available in the stand. Available options are:
pure
andmix
. Consider the characteristics of the plot you are evaluating and not the entire forest, as the conditions of each stand are different. In this study, it was considered a stand to be mixed when the combined proportion of at least two species exceeds 90% of the plot's basal area, and the proportion of both species is greater than 15% of the total. It does not matter which species is accompanying or the proportion of mixing. If not specified, it takes the valuepure
, which is the most common condition in Spain.
References
Vázquez-Veloso, A., Yang, S.-I., Bullock, B.P., Bravo, F., 2025. One model to rule them all: A nationwide height–diameter model for 91 Spanish forest species. Forest Ecology and Management 595, 122981. https://doi.org/10.1016/j.foreco.2025.122981