BioTIME : a database of biodiversity time series for the Anthropocene

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 two, 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 minimum temporal grain across all datasets in BioTIME is 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

Citation

Dornelas , M , Antão , L H , Moyes , F , Bates , A E , Magurran , A E , Adam , D , Akhmetzhanova , A A , Appeltans , W , Arcos , J M , Arnold , H , Ayyappan , N , Badihi , G , Baird , A H , Barbosa , M , Barreto , T E , Bässler , C , Bellgrove , A , Belmaker , J , Benedetti-cecchi , L , Bett , B J , Bjorkman , A D , Błażewicz , M , Blowes , S A , Bloch , C P , Bonebrake , T C , Boyd , S , Bradford , M , Brooks , A J , Brown , J H , Bruelheide , H , Budy , P , Carvalho , F , Castañeda-moya , E , Chen , C A , Chamblee , J F , Chase , T J , Siegwart Collier , L , Collinge , S K , Condit , R , Cooper , E J , Cornelissen , J H C , Cotano , U , Kyle Crow , S , Damasceno , G , Davies , C H , Davis , R A , Day , F P , Degraer , S , Doherty , T S , Dunn , T E , Durigan , G , Duffy , J E , Edelist , D , Edgar , G J , Elahi , R , Elmendorf , S C , Enemar , A , Ernest , S K M , Escribano , R , Estiarte , M , Evans , B S , Fan , T , Turini Farah , F , Loureiro Fernandes , L , Farneda , F Z , Fidelis , A , Fitt , R , Fosaa , A M , Daher Correa Franco , G A , Frank , G E , Fraser , W R , García , H , Cazzolla Gatti , R , Givan , O , Gorgone-barbosa , E , Gould , W A , Gries , C , Grossman , G D , Gutierréz , J R , Hale , S , Harmon , M E , Harte , J , Haskins , G , Henshaw , D L , Hermanutz , L , Hidalgo , P , Higuchi , P , Hoey , A , Van Hoey , G , Hofgaard , A , Holeck , K , Hollister , R D , Holmes , R , Hoogenboom , M , Hsieh , C , Hubbell , S P , Huettmann , F , Huffard , C L , Hurlbert , A H , Macedo Ivanauskas , N , Janík , D , Jandt , U , Jażdżewska , A , Johannessen , T , Johnstone , J , Jones , J , Jones , F A M , Kang , J , Kartawijaya , T , Keeley , E C , Kelt , D A , Kinnear , R , Klanderud , K , Knutsen , H , Koenig , C C , Kortz , A R , Král , K , Kuhnz , L A , Kuo , C , Kushner , D J , Laguionie-marchais , C , Lancaster , L T , Min Lee , C , Lefcheck , J S , Lévesque , E , Lightfoot , D , Lloret , F , Lloyd , J D , López-baucells , A , Louzao , M , Madin , J S , Magnússon , B , Malamud , S , Matthews , I , Mcfarland , K P , Mcgill , B , Mcknight , D , Mclarney , W O , Meador , J , Meserve , P L , Metcalfe , D J , Meyer , C F J , Michelsen , A , Milchakova , N , Moens , T , Moland , E , Moore , J , Mathias Moreira , C , Müller , J , Murphy , G , Myers-smith , I H , Myster , R W , Naumov , A , Neat , F , Nelson , J A , Paul Nelson , M , Newton , S F , Norden , N , Oliver , J C , Olsen , E M , Onipchenko , V G , Pabis , K , Pabst , R J , Paquette , A , Pardede , S , Paterson , D M , Pélissier , R , Peñuelas , J , Pérez-matus , A , Pizarro , O , Pomati , F , Post , E , Prins , H H T , Priscu , J C , Provoost , P , Prudic , K L , Pulliainen , E , Ramesh , B R , Mendivil Ramos , O , Rassweiler , A , Rebelo , J E , Reed , D C , Reich , P B , Remillard , S M , Richardson , A J , Richardson , J P , Van Rijn , I , Rocha , R , Rivera-monroy , V H , Rixen , C , Robinson , K P , Ribeiro Rodrigues , R , De Cerqueira Rossa-feres , D , Rudstam , L , Ruhl , H , Ruz , C S , Sampaio , E M , Rybicki , N , Rypel , A , Sal , S , Salgado , B , Santos , F A M , Savassi-coutinho , A P , Scanga , S , Schmidt , J , Schooley , R , Setiawan , F , Shao , K , Shaver , G R , Sherman , S , Sherry , T W , Siciński , J , Sievers , C , Da Silva , A C , Rodrigues Da Silva , F , Silveira , F L , Slingsby , J , Smart , T , Snell , S J , Soudzilovskaia , N A , Souza , G B G , Maluf Souza , F , Castro Souza , V , Stallings , C D , Stanforth , R , Stanley , E H , Mauro Sterza , J , Stevens , M , Stuart-smith , R , Rondon Suarez , Y , Supp , S , Yoshio Tamashiro , J , Tarigan , S , Thiede , G P , Thorn , S , Tolvanen , A , Teresa Zugliani Toniato , M , Totland , Ø , Twilley , R R , Vaitkus , G , Valdivia , N , Vallejo , M I , Valone , T J , Van Colen , C , Vanaverbeke , J , Venturoli , F , Verheye , H M , Vianna , M , Vieira , R P , Vrška , T , Quang Vu , C , Van Vu , L , Waide , R B , Waldock , C , Watts , D , Webb , S , Wesołowski , T , White , E P , Widdicombe , C E , Wilgers , D , Williams , R , Williams , S B , Williamson , M , Willig , M R , Willis , T J , Wipf , S , Woods , K D , Woehler , E J , Zawada , K & Zettler , M L 2018 , ' BioTIME : a database of biodiversity time series for the Anthropocene ' , Global Ecology and Biogeography , vol. 27 , no. 7 , pp. 760-786 . https://doi.org/10.1111/geb.12729

Publication

Global Ecology and Biogeography

Status

Peer reviewed

DOI

https://doi.org/10.1111/geb.12729

ISSN

1466-822X

Type

Journal article

Rights

© 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.

Description

The BioTIME database is accessible through the BioTIME website [http://biotime.st-andrews.ac.uk] and through the Zenodo repository [https://zenodo.org/record/1095627].

Collections

University of St Andrews Research

URI

https://hdl.handle.net/10023/15720