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

Carol Garzon-Lopez; Lucy Bastin; Giles Foody; Duccio  Rocchini

doi:10.1016/j.dib.2016.02.058

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

Carol Garzon-Lopez, Lucy Bastin, Giles Foody, Duccio Rocchini

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Pages (from-to)	476-479
Number of pages	4
Journal	Data in Brief
Volume	7
Early online date	2 Mar 2016
DOIs	https://doi.org/10.1016/j.dib.2016.02.058
Publication status	Published - Jun 2016

Bibliographical note

Keywords

species distribution models
virtual species
habitat suitability

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10.1016/j.dib.2016.02.058Licence: CC BY 3.0

Robust and reproducible species distribution modelling tests
© 2016 Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Final published version, 561 KBLicence: CC BY 3.0

Cite this

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

Abstract

Bibliographical note

Keywords

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