BioTIME: A database of biodiversity time series for the Anthropocene
Author
Dornelas, MariaAntão, Laura H.
Moyes, Faye
Bates, Amanda E.
Magurran, Anne E.
Adam, Dušan
Akhmetzhanova, Asem A.
Appeltans, Ward
Arcos, José Manuel
Arnold, Haley
Ayyappan, Narayanan
Badihi, Gal
Baird, Andrew H.
Barbosa, Miguel
Barreto, Tiago Egydio
Bässler, Claus
Bellgrove, Alecia
Belmaker, Jonathan
Benedetti-Cecchi, Lisandro
Bett, Brian J.
Bjorkman, Anne D.
Błażewicz, Magdalena
Blowes, Shane A.
Bloch, Christopher P.
Bonebrake, Timothy C.
Boyd, Susan
Bradford, Matt
Brooks, Andrew J.
Brown, James H.
Bruelheide, Helge
Budy, Phaedra
Carvalho, Fernando
Castañeda-Moya, Edward
Chen, Chaolun Allen
Chamblee, John F.
Chase, Tory J.
Siegwart Collier, Laura
Collinge, Sharon K.
Condit, Richard
Cooper, Elisabeth J.
Cornelissen, J. Hans C.
Cotano, Unai
Kyle Crow, Shannan
Damasceno, Gabriella
Davies, Claire H.
Davis, Robert A.
Day, Frank P.
Degraer, Steven
Doherty, Tim S.
Dunn, Timothy E.
Durigan, Giselda
Duffy, J. Emmett
Edelist, Dor
Edgar, Graham J.
Elahi, Robin
Elmendorf, Sarah C.
Enemar, Anders
Ernest, S. K. Morgan
Escribano, Rubén
Estiarte, Marc
Evans, Brian S.
Fan, Tung-Yung
Turini Farah, Fabiano
Loureiro Fernandes, Luiz
Farneda, Fábio Z.
Fidelis, Alessandra
Fitt, Robert
Fosaa, Anna Maria
Daher Correa Franco, Geraldo Antonio
Frank, Grace E.
Fraser, William R.
García, Hernando
Cazzolla Gatti, Roberto
Givan, Or
Gorgone-Barbosa, Elizabeth
Gould, William A.
Gries, Corinna
Grossman, Gary D.
Gutierréz, Julio R.
Hale, Stephen
Harmon, Mark E.
Harte, John
Haskins, Gary
Henshaw, Donald L.
Hermanutz, Luise
Hidalgo, Pamela
Higuchi, Pedro
Hoey, Andrew
Van Hoey, Gert
Hofgaard, Annika
Holeck, Kristen
Hollister, Robert D.
Holmes, Richard
Hoogenboom, Mia
Hsieh, Chih-hao
Hubbell, Stephen P.
Huettmann, Falk
Huffard, Christine L.
Hurlbert, Allen H.
Macedo Ivanauskas, Natália
Oliver, Jeffrey C.

Affiliation
Univ Arizona, Hlth SciIssue Date
2018-07
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WILEYCitation
Dornelas M, Antão LH, Moyes F, et al. BioTIME: A database of biodiversity time series for the Anthropocene. Global Ecol Biogeogr. 2018;27:760–786. https://doi.org/10.1111/geb.12729Journal
GLOBAL ECOLOGY AND BIOGEOGRAPHYRights
© 2018 The Authors. Global Ecology and Biogeography Published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Motivation: The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene. Main types of variables included: The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record. Spatial location and grain: BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km(2) (158 cm(2)) to 100 km(2) (1,000,000,000,000 cm(2)). Time period and grainBio: TIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year. Major taxa and level of measurement: BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates.Note
12 month embargo; published online: 24 July 2018ISSN
1466822XVersion
Final accepted manuscriptSponsors
European Research Council; EU [AdG-250189, PoC-727440, ERC-SyG-2013-610028]; Natural Environmental Research Council [NE/L002531/1]; National Science Foundation [DEB-1237733, DEB-1456729, 9714103, 0632263, 0856516, 1432277, DEB 9705814, BSR-8811902, DEB 9411973, DEB 0080538, DEB 0218039, DEB 0620910, DEB 0963447, DEB-1546686, DEB-129764]; National Science Foundation (LTER) [DEB-1235828, DEB-1440297, DBI-0620409, DEB-9910514, DEB-1237517, OCE-0417412, OCE-1026851, OCE-1236905, OCE-1637396, DEB 1440409, DEB-0832652, DEB-0936498, DEB-0620652, DEB-1234162, DEB-0823293, OCE-9982105, OCE-0620276, OCE-1232779]; Fundacao para a Ciencia e Tecnologia [POPH/FSE SFRH/BD/90469/2012, SFRH/BD/84030/2012, PTDC/BIA-BIC/111184/2009]; Ciencia sem Fronteiras/CAPES [1091/13-1]; Instituto Milenio de Oceanografia [IC120019]; ARC Centre of Excellence [CE0561432]; NSERC Canada; CONICYT/FONDECYT [1160026, ICM PO5-002, 11110351, 1151094, 1070808, 1130511]; RSF [14-50-00029]; Gordon and Betty Moore Foundation [GBMF4563]; Catalan Government; Marie Curie Individual Fellowship [QLK5-CT2002-51518, MERG-CT-2004-022065]; CNPq [306170/2015-9, 475434/2010-2, 403809/2012-6, 561897/2010, 306595-2014-1]; FAPESP (Sao Paulo Research Foundation) [2015/10714-6, 2015/06743-0, 2008/10049-9, 2013/50714-0, 1999/09635-0 e 2013/50718-5]; EU CLIMOOR [ENV4-CT97-0694]; VULCAN [EVK2-CT2000-00094]; DFG [120/10-2]; Polar Continental Shelf Program; CENPES - PETROBRAS; FAPERJ [E-26/110.114/ 2013]; German Academic Exchange Service; New Zealand Department of Conservation; Wellcome Trust [105621/Z/14/Z]; Smithsonian Atherton Seidell Fund; Botanic Gardens and Parks Authority; Research Council of Norway; Conselleria de Innovacio, Hisenda i Economia; Yukon Government Herschel Island-Qikiqtaruk Territorial Park; UK Natural Environment Research Council ShrubTundra Grant [NE/M016323/1]; IPY; Memorial University; ArcticNet; Netherlands Organization for Scientific Research in the Tropics NWO [W84-194]; Ciencias sem Fronteiras and Coordenacao de Pessoal de Nivel Superior (CAPES, Brazil) [1091/13-1]; U.S. Fish and Wildlife Service/State Wildlife federal grant [T-15]; Australian Research Council Centre of Excellence for Coral Reef Studies [CE140100020]; Australian Research Council Future Fellowship [FT110100609]; University of Lodz; NSF DEB [1353139]; Catalan Government fellowships (DURSI) [1998FI-00596, 2001BEAI200208]; MECD Post-doctoral fellowship [EX2002-0022]; FONDECYT [1141037]; FONDAP [15150003]; [SFRH/BD/80488/2011]; [PD/BD/52597/2014]; [REN2000-0278/CCI]; [REN2001-003/GLO]; [CGL2016-79835-P]; [AGAUR SGR-2014453]; [SGR-2017-1005]; [FCT - SFRH / BPD / 82259 / 2011]; [OCE 95-21184]; [OCE-0099226]; [OCE 03-5234]; [OCE-0623874]; [OCE-1031061]; [OCE-1336206]; [DEB-1354563]; [OPP-1440435]Additional Links
http://doi.wiley.com/10.1111/geb.12729ae974a485f413a2113503eed53cd6c53
10.1111/geb.12729
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Except where otherwise noted, this item's license is described as © 2018 The Authors. Global Ecology and Biogeography Published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License.