Title

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

Authors

Lawrence N. Hudson, The Natural History Museum, London
Tim Newbold, United Nations Environment Programme World Conservation Monitoring Centre
Sara Contu, The Natural History Museum, London
Samantha L.L. Hill, The Natural History Museum, London
Igor Lysenko, Imperial College London
Adriana De Palma, The Natural History Museum, London
Helen R.P. Phillips, The Natural History Museum, London
Tamera I. Alhusseini, Imperial College London
Felicity E. Bedford, University of Cambridge
Dominic J. Bennett, Imperial College London
Hollie Booth, United Nations Environment Programme World Conservation Monitoring Centre
Victoria J. Burton, The Natural History Museum, London
Charlotte W.T. Chng, Imperial College London
Argyrios Choimes, The Natural History Museum, London
David L.P. Correia, Université Laval
Julie Day, Imperial College London
Susy Echeverría-Londoño, The Natural History Museum, London
Susan R. Emerson, The Natural History Museum, London
Di Gao, The Natural History Museum, London
Morgan Garon, Imperial College London
Michelle L.K. Harrison, Imperial College London
Daniel J. Ingram, University of Sussex
Martin Jung, University of Sussex
Victoria Kemp, School of Biological and Chemical Sciences Queen Mary University of London
Lucinda Kirkpatrick, University of Stirling
Callum D. Martin, Royal Holloway, University of London
Yuan Pan, The University of Sheffield
Gwilym D. Pask-Hale, The Natural History Museum, London
Edwin L. Pynegar, Bangor University
Alexandra N. Robinson, Imperial College London
Katia Sanchez-Ortiz, University College London
Rebecca A. Senior, The University of Sheffield

Document Type

Article

Publication Date

1-1-2017

Abstract

© 2016 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. 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.

Publication Title

Ecology and Evolution

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