Charles Darwin University

CDU eSpace
Institutional Repository

 
CDU Staff and Student only
 

The PREDICTS database: A global database of how local terrestrial biodiversity responds to human impacts

Hudson, Lawrence, Newbold, Tim, Contu, Sara, Hill, Samantha, Lysenko, Igor, De, Palma, Phillips, Helen, Senior, Rebecca, Bennett, Dominic, Booth, Hollie, Choimes, Argyrios, Correia, David, Day, Julie, Echeverria-Londono, Susy, Garon, Morgan, Harrison, Michelle, Ingram, Daniel, Jung, Martin, Kemp, Victoria and Woinarski, John (2014). The PREDICTS database: A global database of how local terrestrial biodiversity responds to human impacts. Ecology and Evolution,4(24):4701-4735.

Document type: Journal Article
Citation counts: Altmetric Score Altmetric Score is 90
Google Scholar Search Google Scholar
Attached Files (Some files may be inaccessible until you login with your CDU eSpace credentials)
Name Description MIMEType Size Downloads
Download this reading Woinarski_49222.pdf Published version application/pdf 1.43MB 9
Reading the attached file works best in Firefox, Chrome and IE 9 or later.

IRMA ID 75039815xPUB593
Title The PREDICTS database: A global database of how local terrestrial biodiversity responds to human impacts
Author Hudson, Lawrence
Newbold, Tim
Contu, Sara
Hill, Samantha
Lysenko, Igor
De, Palma
Phillips, Helen
Senior, Rebecca
Bennett, Dominic
Booth, Hollie
Choimes, Argyrios
Correia, David
Day, Julie
Echeverria-Londono, Susy
Garon, Morgan
Harrison, Michelle
Ingram, Daniel
Jung, Martin
Kemp, Victoria
Woinarski, John
Journal Name Ecology and Evolution
Publication Date 2014
Volume Number 4
Issue Number 24
ISSN 2045-7758   (check CDU catalogue  open catalogue search in new window)
Scopus ID 2-s2.0-84919865419
Start Page 4701
End Page 4735
Total Pages 35
Place of Publication United Kingdom
Publisher John Wiley & Sons Ltd.
HERDC Category C1 - Journal Article (DIISR)
Abstract Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species’ threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project – and avert – future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1% of the total number of all species described, and more than 1% of the described species within many taxonomic groups – including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems – www.predicts.org.uk). We make site-level summary data available alongside this article. The full database will be publicly available in 2015.
Keywords Data sharing
Global change
Habitat destruction
Land use
DOI http://dx.doi.org/10.1002/ece3.1303   (check subscription with CDU E-Gateway service for CDU Staff and Students  check subscription with CDU E-Gateway in new window)
Additional Notes This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Description for Link Link to CC Attribution 4.0 License
URL https://creativecommons.org/licenses/by/4.0/au


© copyright

Every reasonable effort has been made to ensure that permission has been obtained for items included in CDU eSpace. If you believe that your rights have been infringed by this repository, please contact digitisation@cdu.edu.au.

 
Versions
Version Filter Type
Access Statistics: 23 Abstract Views, 9 File Downloads  -  Detailed Statistics
Created: Wed, 19 Aug 2015, 12:18:44 CST