The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project

Hudson, Lawrence N., Peres, Carlos A. and Yu, Douglas W. (2017) The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project. Ecology and Evolution, 7 (1). 145–188. ISSN 2045-7758

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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 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.

Item Type: Article
Additional Information: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. Full author list is extensive, can be found at: dx.doi.org/10.1002/ece3.2579. Corresponding author and UEA authors listed here.
Uncontrolled Keywords: data sharing,global biodiversity modeling,global change,habitat destruction,land use
Faculty \ School: Faculty of Science > School of Environmental Sciences
Faculty of Science > School of Biological Sciences
Depositing User: Pure Connector
Date Deposited: 20 Dec 2016 00:08
Last Modified: 22 Jul 2020 01:17
URI: https://ueaeprints.uea.ac.uk/id/eprint/61780
DOI: 10.1002/ece3.2579

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