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  • Hudson_et_al-2014-Ecology_and_Evolution

    Rights statement: © 2014 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, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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    Available under license: CC BY: Creative Commons Attribution 4.0 International License

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

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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  • Lawrence N. Hudson
  • Tim Newbold
  • Sara Contu
  • Samantha L. L. Hill
  • Igor Lysenko
  • Adriana De Palma
  • Helen R. P. Phillips
  • Rebecca A. Senior
  • Dominic J. Bennett
  • Hollie Booth
  • Argyrios Choimes
  • David L. P. Correia
  • Julie Day
  • Susy Echeverría-Londoño
  • Michelle L. K. Harrison
  • Daniel J. Ingram
  • Martin Jung
  • Victoria Kemp
  • lucinda Kirkpatrick
  • Callum D. Martin
  • Yuan Pan
  • Hannah J. White
  • Job Aben
  • Stefan Abrahamczyk
  • Gilbert B. Adum
  • Virginia Aguilar-Barquero
  • Marc Ancrenaz
  • Enrique Arbeláez-Cortés
  • Inge Armbrecht
  • Badrul Azhar
  • Adrián B. Azpiroz
  • Lander Baeten
  • András Báldi
  • John E. Banks
  • Péter Batáry
  • Adam J. Bates
  • Erin M. Bayne
  • Pedro Beja
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<mark>Journal publication date</mark>12/2014
<mark>Journal</mark>Ecology and Evolution
Issue number24
Volume4
Number of pages35
Pages (from-to)4701-4735
Publication StatusPublished
Early online date2/12/14
<mark>Original language</mark>English

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.

Bibliographic note

© 2014 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, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. Funded by •UK Natural Environment Research Council. Grant Number: NE/J011193/1 •Imperial College •UK Biotechnology and Biological Sciences Research Council. Grant Number: BB/F017324/1 •Hans Rausing Note: Authors are from 245 institutes or universities, many of them are not listed here.