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The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project
Abstract
The PREDICTS project—Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)—has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to
[ver mas...]
The PREDICTS project—Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)—has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000
species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of
biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity.
[Cerrar]
Author
Hudson, Lawrence N.;
Newbold, Tim;
Contu, Sara;
Hill, Samantha L.L.;
Lysenko, Igor;
De Palma, Adriana;
Phillips, Helen R.P.;
Alhusseini, Tamera I.;
Bedford, Felicity E.;
Bennett, Dominic J.;
Peri, Pablo Luis;
Purvis, Andy;
Fuente
Ecology and Evolution 7 : 145–188. (2017)
Date
2017-01-05
Editorial
Wiley
ISSN
2045-7758
Formato
pdf
Tipo de documento
artículo
Palabras Claves
Derechos de acceso
Abierto
Excepto donde se diga explicitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)