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

Lawrence N. HUDSON*, Tim NEWBOLD, Sara CONTU, Samantha L.L. HILL, Igor LYSENKO, Adriana De PALMA, Helen R.P. PHILLIPS, Tamera I. ALHUSSEINI, Felicity E. BEDFORD, Dominic J. BENNETT, Hollie BOOTH, Victoria J. BURTON, Charlotte W.T. CHNG, Argyrios CHOIMES, David L.P. CORREIA, Julie DAY, Susy ECHEVERRÍA-LONDOÑO, Susan R. EMERSON, Di GAO, Morgan GARONMichelle L.K. HARRISON, Daniel J. INGRAM, Martin JUNG, Victoria KEMP, Lucinda KIRKPATRICK, Callum D. MARTIN, Yuan PAN, Gwilym D. PASK-HALE, Edwin L. PYNEGAR, Alexandra N. ROBINSON, Katia SANCHEZ-ORTIZ, Rebecca A. SENIOR, Benno I. SIMMONS, Hannah J. WHITE, Hanbin ZHANG, Job ABEN, Stefan ABRAHAMCZYK, Gilbert B. ADUM, Virginia AGUILAR-BARQUERO, Marcelo A. AIZEN, Belén ALBERTOS, E. L. Alcala, Maria DEL MAR ALGUACIL, Audrey ALIGNIER, Marc ANCRENAZ, Alan N. ANDERSEN, Enrique ARBELÁEZ-CORTÉS, Inge ARMBRECHT, Víctor ARROYO-RODRÍGUEZ, Yik Hei SUNG

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)

47 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)145-188
Number of pages44
JournalEcology and Evolution
Volume7
Issue number1
Early online date16 Dec 2016
DOIs
Publication statusPublished - 2017
Externally publishedYes

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Bibliographical note

Funding Information:
- U.K. Natural Environment Research Council. Grant Numbers: NE/J011193/2, NE/L002515/1;
- United Nations Environment Program World Conservation Monitoring Centre
Biotechnology and Biological Sciences Research Council. Grant Number: BB/F017324/1;
- Hans Rausing PhD Scholarship;
- COLCIENCIAS (Departamento Administrativo de Ciencia, Tecnología e Innovación de Colombia).

Keywords

  • data sharing
  • global biodiversity modeling
  • global change
  • habitat destruction
  • land use

Cite this

HUDSON, L. N., NEWBOLD, T., CONTU, S., HILL, S. L. L., LYSENKO, I., De PALMA, A., PHILLIPS, H. R. P., ALHUSSEINI, T. I., BEDFORD, F. E., BENNETT, D. J., BOOTH, H., BURTON, V. J., CHNG, C. W. T., CHOIMES, A., CORREIA, D. L. P., DAY, J., ECHEVERRÍA-LONDOÑO, S., EMERSON, S. R., GAO, D., ... SUNG, Y. H. (2017). The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project. Ecology and Evolution, 7(1), 145-188. https://doi.org/10.1002/ece3.2579