A virtual species set for robust and reproducible species distribution modelling tests


Predicting species potential and future distribution has become a relevant tool in biodiversity monitoring and conservation.In this data article we present the suitability map of a virtual species generated based on two bioclimatic variables, and a dataset containing more than 700,000 random observations at the extent of Europe. The dataset includes spatial attributes such as: distance to roads, protected areas, country codes, and the habitat suitability of two spatially clustered species (grassland and forest species) and a wide-spread species.

Publication DOI: https://doi.org/10.1016/j.dib.2016.02.058
Divisions: ?? 50811700Jl ??
College of Engineering & Physical Sciences > Sustainable environment research group
College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
Additional Information: © 2016 Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Uncontrolled Keywords: species distribution models,virtual species,habitat suitability,General,Education
Publication ISSN: 2352-3409
Last Modified: 11 Jun 2024 07:10
Date Deposited: 14 Mar 2016 08:55
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2016-06
Published Online Date: 2016-03-02
Accepted Date: 2016-02-20
Submitted Date: 2015-12-10
Authors: Garzon-Lopez, Carol
Bastin, Lucy (ORCID Profile 0000-0003-1321-0800)
Foody, Giles
Rocchini, Duccio



Version: Published Version

License: Creative Commons Attribution


Access Restriction: Restricted to Repository staff only

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