Geography

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
Rebecca A. Senior, United Nations Environment Programme World Conservation Monitoring Centre
Dominic J. Bennett, Imperial College London
Hollie Booth, United Nations Environment Programme World Conservation Monitoring Centre
Argyrios Choimes, The Natural History Museum, London
David L.P. Correia, The Natural History Museum, London
Julie Day, Imperial College London
Susy Echeverría-Londoño, 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, Statens Naturhistoriske Museum
Victoria Kemp, Imperial College London
Lucinda Kirkpatrick, University of Stirling
Callum D. Martin, Imperial College London
Yuan Pan, The University of Sheffield
Hannah J. White, Queen's University Belfast
Job Aben, Universiteit Antwerpen
Stefan Abrahamczyk, Universität Bonn
Gilbert B. Adum, Kwame Nkrumah University of Science and Technology
Virginia Aguilar-Barquero, Universidad de Costa Rica
Marcelo A. Aizen, Centro Regional Universitario Bariloche
Marc Ancrenaz, HUTAN/Kinabatangan Orang-utan Conservation Programme
Enrique Arbeláez-Cortés, Universidad Nacional Autónoma de México
Inge Armbrecht, Universidad del Valle, Cali
Badrul Azhar, Universiti Putra Malaysia
Christopher A. Williams, Clark UniversityFollow

Document Type

Article

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. The collation of biodiversity datasets with broad taxonomic and biogeographic extents is necessary to understand historical declines and to project - and hopefully avert - future declines. We describe a newly collated database of more than 1.6 million biodiversity measurements 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.

Corrigendum: In the recent article by Hudson et al. (2014), the authors would like to update the URL for the PREDICTS project in the Abstract, Introduction and Discussion sections to read as follow:

https://www.nhm.ac.uk/our-science/our-work/biodiversity/predicts.html

The article has been corrected online.

Publication Title

Ecology and Evolution

Publication Date

12-1-2014

Volume

4

Issue

24

First Page

4701

Last Page

4735

ISSN

2045-7758

DOI

10.1002/ece3.1303

Keywords

data sharing, global change, habitat destruction, land use

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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Geography Commons

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