fd_forest_eutrees4f: EU-Trees4F Database

In forestdata: Download Forestry Data

EU-Trees4F Database

Description

Download data for tree species distribution in Europe for current (2005) distribution, and future distribution (2035, 2065, 2095).

Usage

fd_forest_eutrees4f(
  species,
  model = "clim",
  period = "all",
  scenario = "rcp45",
  type = "bin",
  distrib = "pot",
  quiet = FALSE
)

Arguments

species	a character vector of length 1 with the Latin name of the tree species (genus and species)
model	a character vector of length 1 with the name of the ensemble projection. One of 'clim' or 'sdms' (see details)
period	a numeric or character vector of length 1 with the center of the 30-year time period used for the model. One of '2005', '2035', '2065', '2095', or 'all' (see details)
scenario	a character vector of length 1 with the climate change scenario used. One of 'rcp45' or 'rcp85' (see details)
type	a character vector of length 1 with the type of output layer. One of 'bin', 'prob' or 'std' (see details)
distrib	a character vector of length 1 with the type of distribution. One of 'nat', 'pot', 'disp' or 'disp_lu' (see details)
quiet	if TRUE, suppress any message or progress bar

Details

Data may be freely used for research, study, or teaching, but be cited appropriately (see references below).

The data of EU-Trees4F database represent the distribution of the main woody species in Europe at 5 arc-minutes (~ 10 km) spatial resolution, in the Lambert Azimuthal Equal Area (EPSG:3035) CRS. The possible models to download are the following:

Model: type of model used

• clim: climatic ensemble. A ensemble mean model that projects a consensus model from biomod2 into future conditions using the average of 11 Regional Climate Models (RCM).

• sdms: Species Distribution Model (SDM) ensemble. A model that projects the consensus model for every single RCM, and then it averages the output of then 11 SDMs.

Period: 30-year time period

• 2005: for current projections. This option ignores the scenario argument. They are not available for model = 'sdms' with type = 'std'.

• 2035: average of 2020-2050

• 2065: average of 2050-2080

• 2095: average of 2080-2110

• all: get the four periods (or three for std type). Note that for some species or configurations this might fail, because the raster extent might not match in different periods

Scenario: climate change scenario

• rcp45: a climate change scenario that assumes moderate emissions reductions

• rcp85: a climate change scenario with high greenhouse gas emissions and limited mitigation efforts

Type: type of output layer

• bin: binary distribution map, where 1 represents presence of the tree species, while 0 represents absence of the tree species, derived from the prob map

• prob: probability distribution map (0-1000). Represents the probability of being the potential distribution of the species

• std: standard deviation of prob map. Only available for model = 'sdms'.

Distrib: type of species distribution

• nat: realized distribution (masked with native range). Only available with type = 'bin'

• pot: potential distribution

• disp: natural dispersal model (migclim). Only available with type = 'bin'

• disp_lu: natural dispersal model clipped by forest areas. Only available with type = 'bin'

Value

A single-band or multi-band SpatRaster

References

Mauri, Achille; Cescatti, Alessandro; GIRARDELLO, MARCO; Strona, Giovanni; Beck, Pieter; Caudullo, Giovanni; et al. (2022). EU-Trees4F. A dataset on the future distribution of European tree species.. figshare. Collection. https://doi.org/10.6084/m9.figshare.c.5525688.v2

See Also

metadata_forestdata for a list of possible species

Examples

# Download data for Betula pendula
betula_pendula_sr <- fd_forest_eutrees4f(species = "Betula pendula")

forestdata documentation built on June 8, 2025, 12:43 p.m.