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

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.

SUBMITTER: Garzon-Lopez CX 

PROVIDER: S-EPMC4789307 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature

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

Garzon-Lopez Carol X CX   Bastin Lucy L   Foody Giles M GM   Rocchini Duccio D  

Data in brief 20160302

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 (gras  ...[more]

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