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BioTIME: A database of biodiversity time series for the Anthropocene
Author(s) -
Dornelas Maria,
Antão 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,
BenedettiCecchi 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,
CastañedaMoya 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 TungYung,
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,
GorgoneBarbosa 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 Chihhao,
Hubbell Stephen P.,
Huettmann Falk,
Huffard Christine L.,
Hurlbert Allen H.,
Macedo Ivanauskas Natália,
Janík David,
Jandt Ute,
Jażdżewska Anna,
Johannessen Tore,
Johnstone Jill,
Jones Julia,
Jones Faith A. M.,
Kang Jungwon,
Kartawijaya Tasrif,
Keeley Erin C.,
Kelt Douglas A.,
Kinnear Rebecca,
Klanderud Kari,
Knutsen Halvor,
Koenig Christopher C.,
Kortz Alessandra R.,
Král Kamil,
Kuhnz Linda A.,
Kuo ChaoYang,
Kushner David J.,
LaguionieMarchais Claire,
Lancaster Lesley T.,
Min Lee Cheol,
Lefcheck Jonathan S.,
Lévesque Esther,
Lightfoot David,
Lloret Francisco,
Lloyd John D.,
LópezBaucells Adrià,
Louzao Maite,
Madin Joshua S.,
Magnússon Borgþór,
Malamud Shahar,
Matthews Iain,
McFarland Kent P.,
McGill Brian,
McKnight Diane,
McLarney William O.,
Meador Jason,
Meserve Peter L.,
Metcalfe Daniel J.,
Meyer Christoph F. J.,
Michelsen Anders,
Milchakova Nataliya,
Moens Tom,
Moland Even,
Moore Jon,
Mathias Moreira Carolina,
Müller Jörg,
Murphy Grace,
MyersSmith Isla H.,
Myster Randall W.,
Naumov Andrew,
Neat Francis,
Nelson James A.,
Paul Nelson Michael,
Newton Stephen F.,
Norden Natalia,
Oliver Jeffrey C.,
Olsen Esben M.,
Onipchenko Vladimir G.,
Pabis Krzysztof,
Pabst Robert J.,
Paquette Alain,
Pardede Sinta,
Paterson David M.,
Pélissier Raphaël,
Peñuelas Josep,
PérezMatus Alejandro,
Pizarro Oscar,
Pomati Francesco,
Post Eric,
Prins Herbert H. T.,
Priscu John C.,
Provoost Pieter,
Prudic Kathleen L.,
Pulliainen Erkki,
Ramesh B. R.,
Mendivil Ramos Olivia,
Rassweiler Andrew,
Rebelo Jose Eduardo,
Reed Daniel C.,
Reich Peter B.,
Remillard Suzanne M.,
Richardson Anthony J.,
Richardson J. Paul,
van Rijn Itai,
Rocha Ricardo,
RiveraMonroy Victor H.,
Rixen Christian,
Robinson Kevin P.,
Ribeiro Rodrigues Ricardo,
de Cerqueira RossaFeres Denise,
Rudstam Lars,
Ruhl Henry,
Ruz Catalina S.,
Sampaio Erica M.,
Rybicki Nancy,
Rypel Andrew,
Sal Sofia,
Salgado Beatriz,
Santos Flavio A. M.,
SavassiCoutinho Ana Paula,
Scanga Sara,
Schmidt Jochen,
Schooley Robert,
Setiawan Fakhrizal,
Shao KwangTsao,
Shaver Gaius R.,
Sherman Sally,
Sherry Thomas W.,
Siciński Jacek,
Sievers Caya,
da Silva Ana Carolina,
Rodrigues da Silva Fernando,
Silveira Fabio L.,
Slingsby Jasper,
Smart Tracey,
Snell Sara J.,
Soudzilovskaia Nadejda A.,
Souza Gabriel B. G.,
Maluf Souza Flaviana,
Castro Souza Vinícius,
Stallings Christopher D.,
Stanforth Rowan,
Stanley Emily H.,
Mauro Sterza José,
Stevens Maarten,
StuartSmith Rick,
Rondon Suarez Yzel,
Supp Sarah,
Yoshio Tamashiro Jorge,
Tarigan Sukmaraharja,
Thiede Gary P.,
Thorn Simon,
Tolvanen Anne,
Teresa Zugliani Toniato Maria,
Totland Ørjan,
Twilley Robert R.,
Vaitkus Gediminas,
Valdivia Nelson,
Vallejo Martha Isabel,
Valone Thomas J.,
Van Colen Carl,
Vanaverbeke Jan,
Venturoli Fabio,
Verheye Hans M.,
Vianna Marcelo,
Vieira Rui P.,
Vrška Tomáš,
Quang Vu Con,
Van Vu Lien,
Waide Robert B.,
Waldock Conor,
Watts Dave,
Webb Sara,
Wesołowski Tomasz,
White Ethan P.,
Widdicombe Claire E.,
Wilgers Dustin,
Williams Richard,
Williams Stefan B.,
Williamson Mark,
Willig Michael R.,
Willis Trevor J.,
Wipf Sonja,
Woods Kerry D.,
Woehler Eric J.,
Zawada Kyle,
Zettler Michael L.
Publication year - 2018
Publication title -
global ecology and biogeography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.164
H-Index - 152
eISSN - 1466-8238
pISSN - 1466-822X
DOI - 10.1111/geb.12729
Subject(s) - biodiversity , anthropocene , abundance (ecology) , sampling (signal processing) , metadata , ecology , range (aeronautics) , geography , database , computer science , biology , world wide web , materials science , filter (signal processing) , composite material , computer vision
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 0.158 km 2 (158 cm 2 ) to 100 km 2 (1,000,000,000,000 cm 2 ). 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.