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 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 (US) |
|---|---|
| Pages (from-to) | 760-786 |
| Number of pages | 27 |
| Journal | Global Ecology and Biogeography |
| Volume | 27 |
| Issue number | 7 |
| DOIs | |
| State | Published - Jul 2018 |
Bibliographical note
Publisher Copyright:© 2018 The Authors. Global Ecology and Biogeography Published by John Wiley & Sons Ltd
Keywords
- biodiversity
- global
- spatial
- species richness
- temporal
- turnover
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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 - Kyle Crow, Shannan
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 - Turini Farah, Fabiano
AU - Loureiro Fernandes, Luiz
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 - Cazzolla Gatti, Roberto
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 - Min Lee, Cheol
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 - Paul Nelson, Michael
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 - Maluf Souza, Flaviana
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 - Publisher Copyright: © 2018 The Authors. Global Ecology and Biogeography Published by John Wiley & Sons Ltd
PY - 2018/7
Y1 - 2018/7
N2 - 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 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.
AB - 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 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.
KW - biodiversity
KW - global
KW - spatial
KW - species richness
KW - temporal
KW - turnover
UR - http://www.scopus.com/inward/record.url?scp=85047177487&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85047177487&partnerID=8YFLogxK
U2 - 10.1111/geb.12729
DO - 10.1111/geb.12729
M3 - Article
C2 - 30147447
AN - SCOPUS:85047177487
SN - 1466-822X
VL - 27
SP - 760
EP - 786
JO - Global Ecology and Biogeography
JF - Global Ecology and Biogeography
IS - 7
ER -