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Probability and uncertainty maps showing the potential and realized distribution for 16 forest tree species for Europe.
The following species have been modeled:
- Silver fir (Abies alba Mill.)
- Sweet chestnut (Castanea sativa Mill.)
- Common hazel (Corylus avellana L.),
- European beech (Fagus sylvatica L.),
- Olive tree (Olea europaea L.),
- Norway spruce (Picea abies L. H. Karst.),
- Aleppo pine (Pinus halepensis Mill.),
- Austrian pine (Pinus nigra J. F. Arnold),
- Stone pine (Pinus pinea L.),
- Scots pine (Pinus sylvestris L.),
- Sweet cherry (Prunus avium L.),
- Turkey oak (Quercus cerris L.),
- Holm oak (Quercus ilex L.),
- Common oak (Quercus robur L.),
- Cork oak (Quercus suber L.),
- Goat willow (Salix caprea L.).
Files are named according to the following naming convention, e.g:
- veg_abies.alba_anv.eml_md_30m_0..0cm_2000..2002_eumap_epsg3035_v0.2
with the following fields:
- theme: e.g. veg,
- species code: e.g. abies.alba,
- species distribution type: e.g. anv (= actual natural vegetation),
- species estimation method: e.g. eml,
- species estimation type: e.g. md ( = model deviation),
- resolution in meters e.g. 30m,
- reference depths (vertical dimension): e.g. 0..0cm,
- reference period begin end: e.g. 2000..2002,
- reference area: e.g. eumap,
- coordinate system: e.g. epsg3035,
- data set version: e.g. v0.2.
For each species is then easy to identify probability and uncertainty distribution maps:
- veg_abies.alba_anv.eml_md: model uncertainty for realized distribution
- veg_abies.alba_anv.eml_p: probability for realized distribution
- veg_abies.alba_pnv.eml_md: model uncertainty for potential distribution
- veg_abies.alba_pnv.eml_p: probability for potential distribution
Code on structure and applications of the dataset is available on GitLab
European coverage, 30m resolution, Cloud Optimized Geotiff, https download
EPSG:3035
Example for Silver fir:
Bonannella, Carmelo, Hengl, Tomislav, Heisig, Johannes, Leal Parente, Leandro, Wright, Marvin, Herold, Martin, & de Bruin, Sytze. (2022). Potential and realized distribution at 30m for Silver fir (Abies alba) in Europe for 2000 - 2020 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5873413
The datasets can be accessed on Zenodo. Check the Related identifiers section on the right to access the individual species.
library("inborutils")
library("parallel")
library("terra")
#### Create folder for the project, download files from Zenodo ####
dir.create(paste0(getwd(), "/veg_mapping/"))
setwd(paste0(getwd(), "/veg_mapping/"))
## Download repository for 1 species (Preview + styling files + Cloud Optimized GeoTIFFs)
## Example for silver fir (Abies alba)
## Download files in parallel, each process will download one file.
download_zenodo("10.5281/zenodo.5873413",
parallel = TRUE)
files = list.files("veg_mapping")
length(files)
# 23
files[1:6]
# [1] "00-preview_abies.alba.png" "veg_abies.alba_anv.eml_md_30m_0..0cm_2000..2002_eumap_epsg3035_v0.2.qml"
# [3] "veg_abies.alba_anv.eml_md_30m_0..0cm_2000..2002_eumap_epsg3035_v0.2.sld" "veg_abies.alba_anv.eml_md_30m_0..0cm_2000..2002_eumap_epsg3035_v0.2.tif"
# [5] "veg_abies.alba_anv.eml_md_30m_0..0cm_2002..2006_eumap_epsg3035_v0.2.tif" "veg_abies.alba_anv.eml_md_30m_0..0cm_2006..2010_eumap_epsg3035_v0.2.tif"
rast(files[4])
# class : SpatRaster
# dimensions : 150000, 167000, 1 (nrow, ncol, nlyr)
# resolution : 30, 30 (x, y)
# extent : 1530000, 6540000, 930010, 5430010 (xmin, xmax, ymin, ymax)
# coord. ref. : +proj=laea +lat_0=52 +lon_0=10 +x_0=4321000 +y_0=3210000 +ellps=GRS80 +units=m +no_defs
# source : veg_abies.alba_anv.eml_md_30m_0..0cm_2000..2002_eumap_epsg3035_v0.2.tif
# name : veg_abies.alba_anv.eml_md_30m_~2000..2002_eumap_epsg3035_v0.2
file.info(files)[,c(1,4)]
# 00-preview_abies.alba.png 1790894 2022-01-18 15:48:10
# veg_abies.alba_anv.eml_md_30m_0..0cm_2000..2002_eumap_epsg3035_v0.2.qml 2964 2022-01-18 15:47:27
# veg_abies.alba_anv.eml_md_30m_0..0cm_2000..2002_eumap_epsg3035_v0.2.sld 1344 2022-01-18 15:47:27
# veg_abies.alba_anv.eml_md_30m_0..0cm_2000..2002_eumap_epsg3035_v0.2.tif 3337348271 2022-01-18 15:49:37
# veg_abies.alba_anv.eml_md_30m_0..0cm_2002..2006_eumap_epsg3035_v0.2.tif 3087667187 2022-01-18 15:51:02
# veg_abies.alba_anv.eml_md_30m_0..0cm_2006..2010_eumap_epsg3035_v0.2.tif 2617832105 2022-01-18 15:52:12
# veg_abies.alba_anv.eml_md_30m_0..0cm_2010..2014_eumap_epsg3035_v0.2.tif 2000398691 2022-01-18 15:53:10
# veg_abies.alba_anv.eml_md_30m_0..0cm_2014..2018_eumap_epsg3035_v0.2.tif 2243460901 2022-01-18 15:54:15
# veg_abies.alba_anv.eml_md_30m_0..0cm_2018..2020_eumap_epsg3035_v0.2.tif 2643211483 2022-01-18 15:55:31
# veg_abies.alba_anv.eml_p_30m_0..0cm_2000..2002_eumap_epsg3035_v0.2.qml 2970 2022-01-18 15:47:27
# veg_abies.alba_anv.eml_p_30m_0..0cm_2000..2002_eumap_epsg3035_v0.2.sld 1272 2022-01-18 15:47:27
# veg_abies.alba_anv.eml_p_30m_0..0cm_2000..2002_eumap_epsg3035_v0.2.tif 2770891799 2022-01-18 15:56:44
# veg_abies.alba_anv.eml_p_30m_0..0cm_2002..2006_eumap_epsg3035_v0.2.tif 2377410035 2022-01-18 15:57:49
# veg_abies.alba_anv.eml_p_30m_0..0cm_2006..2010_eumap_epsg3035_v0.2.tif 1961266234 2022-01-18 15:58:40
# veg_abies.alba_anv.eml_p_30m_0..0cm_2010..2014_eumap_epsg3035_v0.2.tif 1290093080 2022-01-18 15:59:13
# veg_abies.alba_anv.eml_p_30m_0..0cm_2014..2018_eumap_epsg3035_v0.2.tif 1536497234 2022-01-18 15:59:51
# veg_abies.alba_anv.eml_p_30m_0..0cm_2018..2020_eumap_epsg3035_v0.2.tif 2021432453 2022-01-18 16:00:40
# veg_abies.alba_pnv.eml_md_30m_0..0cm_2018..2020_eumap_epsg3035_v0.2.qml 2964 2022-01-18 15:47:27
# veg_abies.alba_pnv.eml_md_30m_0..0cm_2018..2020_eumap_epsg3035_v0.2.sld 1344 2022-01-18 15:47:27
# veg_abies.alba_pnv.eml_md_30m_0..0cm_2018..2020_eumap_epsg3035_v0.2.tif 3026872906 2022-01-18 16:01:52
# veg_abies.alba_pnv.eml_p_30m_0..0cm_2018..2020_eumap_epsg3035_v0.2.qml 2970 2022-01-18 15:47:27
# veg_abies.alba_pnv.eml_p_30m_0..0cm_2018..2020_eumap_epsg3035_v0.2.sld 1272 2022-01-18 15:47:27
# veg_abies.alba_pnv.eml_p_30m_0..0cm_2018..2020_eumap_epsg3035_v0.2.tif 2123167108 2022-01-18 16:02:45