CINECA IRIS Institutional Research Information System
IRIS is the IT solution to facilitate the collection and management of data and activities related to research product.
ItalianoPredicting 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.
| Citation: | Garzon-Lopez, C.X.; Bastin, L.; Foody, G.M.; Rocchini, D. (2016). A virtual species set for robust and reproducible species distribution modelling tests. DATA IN BRIEF, 7: 476-479. doi: 10.1016/j.dib.2016.02.058 handle: http://hdl.handle.net/10449/29559 |
| Internal authors: | |
| Organization unit: | Biodiversity and Molecular Ecology Department # CRI_2011-JAN2016 |
| Authors: | Garzon-Lopez, C.X.; Bastin, L.; Foody, G.M.; Rocchini, D. |
| Title: | A virtual species set for robust and reproducible species distribution modelling tests |
| Journal: | DATA IN BRIEF |
| Issue Date: | 2016 |
| Scientific Disciplinary Area: | Settore BIO/07 - Ecologia |
| Keywords ENG: | Species distribution modelling Virtual species Habitat suitability |
| Language: | English |
| IF: | Without Impact Factor ISI |
| Publication status: | Published |
| Nature of content: | Articolo in rivista/Article |
| Digital Object Identifier (DOI): | 10.1016/j.dib.2016.02.058 |
| Appears in Collections: | 01 - Journal article |
Files in This Item:
| File | Description | Type | License | |
|---|---|---|---|---|
| 2016 DiB Rocchini.pdf | N/A |  | Open AccessView/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
Copyright © 2020