Data for the paper "Species distribution models built with local species data perform better for current time, but suffer from niche truncation".Historic (1989-2013) and future (2041-2060 for RCP4.5 and RCP8.5) distribution of tree species in the Alps and Piedmont, Italy.

<p dir="ltr">Collection of raster related to the historic and future distribution of 22 tree species for Piedmont Region, Italy and the European Alps extent produced by using correlative species distribution models.</p><p dir="ltr">Rasters are projected to EPSG:...

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Main Author: Nicolò Anselmetto (11511253) (author)
Other Authors: Donato Morresi (10103413) (author), Simona Barbarino (20409993) (author), Nicola Loglisci (20409995) (author), Matthew G. Betts (20409996) (author), Matteo Garbarino (8155566) (author)
Published: 2024
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Summary:<p dir="ltr">Collection of raster related to the historic and future distribution of 22 tree species for Piedmont Region, Italy and the European Alps extent produced by using correlative species distribution models.</p><p dir="ltr">Rasters are projected to EPSG:3034 with a spatial resolution of 1km, but originally available at 250m upon request.</p><p dir="ltr">Files are provided as both binary maps (0 = absence, 1 = presence) or continuous probability of presence (0-1) in the GeoTiff format.</p><p dir="ltr">The "Independent data" folder contains maps from Caudullo et al. (2017) and the csv file used for independent validation with LUCAS and GBIF occurrences.</p><p dir="ltr">The EU-Trees4F dataset was very large and detailed, but can be fully downloaded at this link: https://springernature.figshare.com/collections/EU-Trees4F_A_dataset_on_the_future_distribution_of_European_tree_species_/5525688</p><p dir="ltr">R code is available upon request.</p>