Abstract
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 km2 (158 cm2) to 100 km2 (1,000,000,000,000 cm2).
Time period and grain
BioTIME 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.
Software format
.csv and .SQL.
| Original language | English |
|---|---|
| Pages (from-to) | 760-786 |
| Number of pages | 27 |
| Journal | Global Ecology and Biogeography |
| Volume | 27 |
| Issue number | 7 |
| Early online date | 24 Jul 2018 |
| DOIs | |
| Publication status | Published - Jul 2018 |
Keywords
- biodiversity
- global
- spatial
- species richness
- temporal
- turnover
Access to Document
- 10.1111/geb.12729Licence: CC BY
- BioTIME: A database of biodiversity time series for the Anthropocene
© 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, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. https://creativecommons.org/licenses/by/4.0/
Final published version, 2.31 MBLicence: CC BY
Fingerprint
Dive into the research topics of 'BioTIME: A database of biodiversity time series for the Anthropocene'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS
BioTIME : A database of biodiversity time series for the Anthropocene. / Dornelas, Maria; Antão, Laura H.; Moyes, Faye et al.
In: Global Ecology and Biogeography, Vol. 27, No. 7, 07.2018, p. 760-786.Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - BioTIME
T2 - A database of biodiversity time series for the Anthropocene
AU - Dornelas, Maria
AU - Antão, Laura H.
AU - Moyes, Faye
AU - Bates, Amanda E.
AU - Magurran, Anne E.
AU - Adam, Dušan
AU - Akhmetzhanova, Asem A.
AU - Appeltans, Ward
AU - Arcos, José Manuel
AU - Arnold, Haley
AU - Ayyappan, Narayanan
AU - Badihi, Gal
AU - Baird, Andrew H.
AU - Barbosa, Miguel
AU - Barreto, Tiago Egydio
AU - Bässler, Claus
AU - Bellgrove, Alecia
AU - Belmaker, Jonathan
AU - Benedetti-Cecchi, Lisandro
AU - Bett, Brian J.
AU - Bjorkman, Anne D.
AU - Błażewicz, Magdalena
AU - Blowes, Shane A.
AU - Bloch, Christopher P.
AU - Bonebrake, Timothy C.
AU - Boyd, Susan
AU - Bradford, Matt
AU - Brooks, Andrew J.
AU - Brown, James H.
AU - Bruelheide, Helge
AU - Budy, Phaedra
AU - Carvalho, Fernando
AU - Castañeda-Moya, Edward
AU - Chen, Chaolun Allen
AU - Chamblee, John F.
AU - Chase, Tory J.
AU - Siegwart Collier, Laura
AU - Collinge, Sharon K.
AU - Condit, Richard
AU - Cooper, Elisabeth J.
AU - Cornelissen, J. Hans C.
AU - Cotano, Unai
AU - Crow, Shannan Kyle
AU - Damasceno, Gabriella
AU - Davies, Claire H.
AU - Davis, Robert A.
AU - Day, Frank P.
AU - Degraer, Steven
AU - Doherty, Tim S.
AU - Dunn, Timothy E.
AU - Durigan, Giselda
AU - Duffy, J. Emmett
AU - Edelist, Dor
AU - Edgar, Graham J.
AU - Elahi, Robin
AU - Elmendorf, Sarah C.
AU - Enemar, Anders
AU - Ernest, S. K. Morgan
AU - Escribano, Rubén
AU - Estiarte, Marc
AU - Evans, Brian S.
AU - Fan, Tung-Yung
AU - Farah, Fabiano Turini
AU - Fernandes, Luiz Loureiro
AU - Farneda, Fábio Z.
AU - Fidelis, Alessandra
AU - Fitt, Robert
AU - Fosaa, Anna Maria
AU - Daher Correa Franco, Geraldo Antonio
AU - Frank, Grace E.
AU - Fraser, William R.
AU - García, Hernando
AU - Gatti, Roberto Cazzolla
AU - Givan, Or
AU - Gorgone-Barbosa, Elizabeth
AU - Gould , William A.
AU - Gries, Corinna
AU - Grossman, Gary D.
AU - Gutierréz, Julio R.
AU - Hale, Stephen
AU - Harmon, Mark E.
AU - Harte, John
AU - Haskins, Gary
AU - Henshaw, Donald L.
AU - Hermanutz, Luise
AU - Hidalgo, Pamela
AU - Higuchi, Pedro
AU - Hoey, Andrew
AU - Van Hoey, Gert
AU - Hofgaard, Annika
AU - Holeck, Kristen
AU - Hollister, Robert D.
AU - Holmes, Richard
AU - Hoogenboom, Mia
AU - Hsieh, Chih-hao
AU - Hubbell, Stephen P.
AU - Huettmann, Falk
AU - Huffard, Christine L.
AU - Hurlbert, Allen H.
AU - Macedo Ivanauskas, Natália
AU - Janík, David
AU - Jandt, Ute
AU - Jażdżewska, Anna
AU - Johannessen, Tore
AU - Johnstone, Jill
AU - Jones, Julia
AU - Jones, Faith A. M.
AU - Kang, Jungwon
AU - Kartawijaya, Tasrif
AU - Keeley, Erin C.
AU - Kelt, Douglas A.
AU - Kinnear, Rebecca
AU - Klanderud, Kari
AU - Knutsen, Halvor
AU - Koenig, Christopher C.
AU - Kortz, Alessandra R.
AU - Král, Kamil
AU - Kuhnz, Linda A.
AU - Kuo, Chao-Yang
AU - Kushner, David J.
AU - Laguionie-Marchais, Claire
AU - Lancaster, Lesley T.
AU - Lee, Cheol Min
AU - Lefcheck, Jonathan S.
AU - Lévesque, Esther
AU - Lightfoot, David
AU - Lloret, Francisco
AU - Lloyd, John D.
AU - López-Baucells, Adrià
AU - Louzao, Maite
AU - Madin, Joshua S.
AU - Magnússon, Borgþór
AU - Malamud, Shahar
AU - Matthews, Iain
AU - McFarland, Kent P.
AU - McGill, Brian
AU - McKnight, Diane
AU - McLarney, William O.
AU - Meador, Jason
AU - Meserve, Peter L.
AU - Metcalfe, Daniel J.
AU - Meyer, Christoph F. J.
AU - Michelsen, Anders
AU - Milchakova, Nataliya
AU - Moens, Tom
AU - Moland, Even
AU - Moore, Jon
AU - Mathias Moreira, Carolina
AU - Müller, Jörg
AU - Murphy, Grace
AU - Myers-Smith, Isla H.
AU - Myster, Randall W.
AU - Naumov, Andrew
AU - Neat, Francis
AU - Nelson, James A.
AU - Nelson, Michael Paul
AU - Newton, Stephen F.
AU - Norden, Natalia
AU - Oliver, Jeffrey C.
AU - Olsen, Esben M.
AU - Onipchenko, Vladimir G.
AU - Pabis, Krzysztof
AU - Pabst, Robert J.
AU - Paquette, Alain
AU - Pardede, Sinta
AU - Paterson, David M.
AU - Pélissier, Raphaël
AU - Peñuelas, Josep
AU - Pérez-Matus, Alejandro
AU - Pizarro, Oscar
AU - Pomati, Francesco
AU - Post, Eric
AU - Prins, Herbert H. T.
AU - Priscu, John C.
AU - Provoost, Pieter
AU - Prudic, Kathleen L.
AU - Pulliainen, Erkki
AU - Ramesh, B. R.
AU - Mendivil Ramos, Olivia
AU - Rassweiler, Andrew
AU - Rebelo, Jose Eduardo
AU - Reed, Daniel C.
AU - Reich, Peter B.
AU - Remillard, Suzanne M.
AU - Richardson, Anthony J.
AU - Richardson, J. Paul
AU - van Rijn, Itai
AU - Rocha, Ricardo
AU - Rivera-Monroy, Victor H.
AU - Rixen, Christian
AU - Robinson, Kevin P.
AU - Ribeiro Rodrigues, Ricardo
AU - de Cerqueira Rossa-Feres, Denise
AU - Rudstam, Lars
AU - Ruhl, Henry
AU - Ruz, Catalina S.
AU - Sampaio, Erica M.
AU - Rybicki, Nancy
AU - Rypel, Andrew
AU - Sal, Sofia
AU - Salgado, Beatriz
AU - Santos, Flavio A. M.
AU - Savassi-Coutinho, Ana Paula
AU - Scanga, Sara
AU - Schmidt, Jochen
AU - Schooley, Robert
AU - Setiawan, Fakhrizal
AU - Shao, Kwang-Tsao
AU - Shaver, Gaius R.
AU - Sherman, Sally
AU - Sherry, Thomas W.
AU - Siciński, Jacek
AU - Sievers, Caya
AU - da Silva, Ana Carolina
AU - Rodrigues da Silva, Fernando
AU - Silveira, Fabio L.
AU - Slingsby, Jasper
AU - Smart, Tracey
AU - Snell, Sara J.
AU - Soudzilovskaia, Nadejda A.
AU - Souza, Gabriel B. G.
AU - Souza, Flaviana Maluf
AU - Castro Souza, Vinícius
AU - Stallings, Christopher D.
AU - Stanforth, Rowan
AU - Stanley, Emily H.
AU - Mauro Sterza, José
AU - Stevens, Maarten
AU - Stuart-Smith, Rick
AU - Rondon Suarez, Yzel
AU - Supp, Sarah
AU - Yoshio Tamashiro, Jorge
AU - Tarigan, Sukmaraharja
AU - Thiede, Gary P.
AU - Thorn, Simon
AU - Tolvanen, Anne
AU - Teresa Zugliani Toniato, Maria
AU - Totland, Ørjan
AU - Twilley, Robert R.
AU - Vaitkus, Gediminas
AU - Valdivia, Nelson
AU - Vallejo, Martha Isabel
AU - Valone, Thomas J.
AU - Van Colen, Carl
AU - Vanaverbeke, Jan
AU - Venturoli, Fabio
AU - Verheye, Hans M.
AU - Vianna, Marcelo
AU - Vieira, Rui P.
AU - Vrška, Tomáš
AU - Quang Vu, Con
AU - Van Vu, Lien
AU - Waide, Robert B.
AU - Waldock, Conor
AU - Watts, Dave
AU - Webb, Sara
AU - Wesołowski, Tomasz
AU - White, Ethan P.
AU - Widdicombe, Claire E.
AU - Wilgers, Dustin
AU - Williams, Richard
AU - Williams, Stefan B.
AU - Williamson, Mark
AU - Willig, Michael R.
AU - Willis, Trevor J.
AU - Wipf, Sonja
AU - Woods, Kerry D.
AU - Woehler, Eric J.
AU - Zawada, Kyle
AU - Zettler, Michael L.
N1 - European Research Council and EU, Grant/Award Number: AdG‐250189, PoC‐727440 and ERC‐SyG‐2013‐610028; Natural Environmental Research Council, Grant/Award Number: NE/L002531/1; National Science Foundation, Grant/Award Number: 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, OCE 95‐21184, OCE‐ 0099226, OCE 03‐52343, OCE‐0623874, OCE‐1031061, OCE‐1336206 and DEB‐1354563; National Science Foundation (LTER) , Grant/Award Number: 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 and DEB‐0823293; Fundação para a Ciência e Tecnologia, Grant/Award Number: POPH/FSE SFRH/BD/90469/2012, SFRH/BD/84030/2012, PTDC/BIA‐BIC/111184/2009; SFRH/BD/80488/2011 and PD/BD/52597/2014; Ciência sem Fronteiras/CAPES, Grant/Award Number: 1091/13‐1; Instituto Milenio de Oceanografía, Grant/Award Number: IC120019; ARC Centre of Excellence, Grant/Award Number: CE0561432; NSERC Canada; CONICYT/FONDECYT, Grant/Award Number: 1160026, ICM PO5‐002, CONICYT/FONDECYT, 11110351, 1151094, 1070808 and 1130511; RSF, Grant/Award Number: 14‐50‐00029; Gordon and Betty Moore Foundation, Grant/Award Number: GBMF4563; Catalan Government; Marie Curie Individual Fellowship, Grant/Award Number: QLK5‐CT2002‐51518 and MERG‐CT‐2004‐022065; CNPq, Grant/Award Number: 306170/2015‐9, 475434/2010‐2, 403809/2012‐6 and 561897/2010; FAPESP (São Paulo Research Foundation), Grant/Award Number: 2015/10714‐6, 2015/06743‐0, 2008/10049‐9, 2013/50714‐0 and 1999/09635‐0 e 2013/50718‐5; EU CLIMOOR, Grant/Award Number: ENV4‐CT97‐0694; VULCAN, Grant/Award Number: EVK2‐CT‐2000‐00094; Spanish, Grant/Award Number: REN2000‐0278/CCI, REN2001‐003/GLO and CGL2016‐79835‐P; Catalan, Grant/Award Number: AGAUR SGR‐2014‐453 and SGR‐2017‐1005; DFG, Grant/Award Number: 120/10‐2; Polar Continental Shelf Program; CENPES – PETROBRAS; FAPERJ, Grant/Award Number: E‐26/110.114/2013; German Academic Exchange Service; sDiv; iDiv; New Zealand Department of Conservation; Wellcome Trust, Grant/Award Number: 105621/Z/14/Z; Smithsonian Atherton Seidell Fund; Botanic Gardens and Parks Authority; Research Council of Norway; Conselleria de Innovació, Hisenda i Economia; Yukon Government Herschel Island‐Qikiqtaruk Territorial Park; UK Natural Environment Research Council ShrubTundra Grant, Grant/Award Number: NE/M016323/1; IPY; Memorial University; ArcticNet. DOI: 10.13039/50110000027. Netherlands Organization for Scientific Research in the Tropics NWO, grant W84‐194. Ciências sem Fronteiras and Coordenação de Pessoal de Nível Superior (CAPES, Brazil), Grant/Award Number: 1091/13‐1. National Science foundation (LTER), Award Number: OCE‐9982105, OCE‐0620276, OCE‐1232779. FCT ‐ SFRH / BPD / 82259 / 2011. U.S. Fish and Wildlife Service/State Wildlife federal grant number T‐15. Australian Research Council Centre of Excellence for Coral Reef Studies (CE140100020). Australian Research Council Future Fellowship FT110100609. M.B., A.J., K.P., J.S. received financial support from internal funds of University of Lódź. NSF DEB 1353139. Catalan Government fellowships (DURSI): 1998FI‐00596, 2001BEAI200208, MECD Post‐doctoral fellowship EX2002‐0022. National Science Foundation Award OPP‐1440435. FONDECYT 1141037 and FONDAP 15150003 (IDEAL). CNPq Grant 306595‐2014‐1
PY - 2018/7
Y1 - 2018/7
N2 - MotivationThe 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 includedThe 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 grainBioTIME 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 km2 (158 cm2) to 100 km2 (1,000,000,000,000 cm2).Time period and grainBioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year.Major taxa and level of measurementBioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates.Software format.csv and .SQL.
AB - MotivationThe 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 includedThe 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 grainBioTIME 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 km2 (158 cm2) to 100 km2 (1,000,000,000,000 cm2).Time period and grainBioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year.Major taxa and level of measurementBioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates.Software format.csv and .SQL.
KW - biodiversity
KW - global
KW - spatial
KW - species richness
KW - temporal
KW - turnover
U2 - 10.1111/geb.12729
DO - 10.1111/geb.12729
M3 - Article
C2 - 30147447
VL - 27
SP - 760
EP - 786
JO - Global Ecology and Biogeography
JF - Global Ecology and Biogeography
SN - 1466-822X
IS - 7
ER -