The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project
File(s) Hudson_et_al-2017-Ecology_and_Evolution.pdf (1.73 MB)
Published version
Author(s)
Type
Journal Article
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.
Date Issued
2016-12-16
Date Acceptance
2016-09-22
Citation
Ecology and Evolution, 2016, 7 (1), pp.145-188
ISSN
2045-7758
Publisher
Wiley
Start Page
145
End Page
188
Journal / Book Title
Ecology and Evolution
Volume
7
Issue
1
Copyright Statement
© 2016 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Sponsor
The Royal Society
Natural Environment Research Council (NERC)
Identifier
http://www.ncbi.nlm.nih.gov/pubmed/28070282
PII: ECE32579
Grant Number
WM100051
NE/J011193/1
Subjects
data sharing
global biodiversity modeling
global change
habitat destruction
land use
Publication Status
Published
Coverage Spatial
England
