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

LN Hudson; T Newbold; S Contu; SLL Hill; I Lysenko; A De Palma; HRP Phillips; TI Alhusseini; FE Bedford; DJ Bennett; H Booth; VJ Burton; CWT Chng; A Choimes; DLP Correia; J Day; S Echeverría-Londoño; SR Emerson; D Gao; M Garon; MLK Harrison; DJ Ingram; M Jung; V Kemp; L Kirkpatrick; CD Martin; Y Pan; GD Pask-Hale; EL Pynegar; AN Robinson; K Sanchez-Ortiz; RA Senior; BI Simmons; HJ White; H Zhang; J Aben; S Abrahamczyk; GB Adum; V Aguilar-Barquero; MA Aizen; B Albertos; EL Alcala; M del Mar Alguacil; A Alignier; M Ancrenaz; AN Andersen; E Arbeláez-Cortés; I Armbrecht; V Arroyo-Rodríguez; T Aumann; JC Axmacher; B Azhar; AB Azpiroz; L Baeten; A Bakayoko; A Báldi; JE Banks; SK Baral; J Barlow; BIP Barratt; L Barrico; P Bartolommei; DM Barton; Y Basset; P Batáry; AJ Bates; B Baur; EM Bayne; P Beja; S Benedick; Å Berg; H Bernard; NJ Berry; D Bhatt; JE Bicknell; JH Bihn; RJ Blake; KS Bobo; R Bóçon; T Boekhout; K Böhning-Gaese; KJ Bonham; PAV Borges; SH Borges; C Boutin; J Bouyer; C Bragagnolo; JS Brandt; FQ Brearley; I Brito; V Bros; J Brunet; G Buczkowski; CM Buddle; R Bugter; E Buscardo; J Buse; J Cabra-García; NC Cáceres; NL Cagle

Journal article

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

LN Hudson, T Newbold, S Contu, SLL Hill, I Lysenko, A De Palma, HRP Phillips, TI Alhusseini, FE Bedford, DJ Bennett, H Booth, VJ Burton, CWT Chng, A Choimes, DLP Correia, J Day, S Echeverría-Londoño, SR Emerson, D Gao, M Garon Show all

Ecology and Evolution | Published : 2017

DOI: 10.1002/ece3.2579

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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 ans..

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University of Melbourne Researchers

Pia Lentini Author

Ary Hoffmann Author

Margaret Mayfield Author

Grants

Awarded by Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)

Funding Acknowledgements

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