Title: | BioTIME: A database of biodiversity time series for the Anthropocene |
Authors: | 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 Reed, Daniel C. Reich, Peter B. Remillard, Suzanne M. Richardson, Anthony J. Richardson, John Paul van Rijn, Itai Rocha, Ricardo Rivera-Monroy, Víctor H. Rixen, Christian Bett, Brian J. Janík, David Robinson, Kevin Peter Rodrigues, Ricardo Ribeiro Rossa-Feres, Denise de Cerqueira Rudstam, Lars G. Ruhl, Henry A. Ruz, Catalina S. Sampaio, Erica M. Rybicki, Nancy B. Rypel, Andrew Lee Sal, Sofía Jandt, Ute Bjorkman, Anne D. Salgado, Beatriz Santos, Flavio Antonio Maës dos Savassi-Coutinho, Ana Paula Scanga, Sara E. Schmidt, Jochen Schooley, Robert L. Setiawan, Fakhrizal Shao, Kwang-Tsao Shaver, Gaius R. Ja?d?ewska, Anna ?. Sherman, Sally A. Błażewicz, Magdalena Sherry, Thomas W Sici?ski, Jacek Sievers, Caya Silva, Ana Carolina da Silva, Fernando Rodrigues da Silveira, Fabio L. Slingsby, Jasper A. Smart, Tracey Johannessen, Tore Snell, Sara J. Soudzilovskaia, Nadejda A. Blowes, Shane A. Souza, Gabriel B.G. Maluf Souza, Flaviana Souza, Vinicius Castro Stallings, Christopher D. Stanforth, Rowan Stanley, Emily H. Mauro Sterza, José Johnstone, Jill F. Stevens, Maarten Stuart-Smith, Rick D. Suárez, Yzel Rondón Bloch, Christopher P. Supp, Sarah R. Tamashiro, Jorge Yoshio Tarigan, Sukmaraharja A. Thiede, Gary P. Thorn, Simon Tolvanen, Anne K. Jones, Julia Allen A. Toniato, Maria Teresa Zugliani Totland, Örjan Twilley, Robert R. Vaitkus, Gediminas Bonebrake, Timothy C. Valdivia, Nelson A. Vallejo, Martha Isabel Valone, Thomas J. van Colen, Carl Vanaverbeke, Jan Jones, Faith A.M. Venturoli, Fábio Verheye, Hans M.S. Vianna, Marcelo D.M. Vieira, Rui Pedro Vrška, Tomáš Boyd, Susan Quang Vu, Con Vu, Lien Van Waide, Robert B. Waldock, Conor Kang, Jungwon Watts, David Webb, Sara L. Weso?owski, Tomasz White, Ethan P. Widdicombe, Claire E. Wilgers, Dustin J. Bradford, Matt G. Williams, Richard Williams, Stefan Williamson, Mark H. Kartawijaya, Tasrif Willig, Michael R. Trevor J. Willis, Trevor Wipf, Sonja Woods, Kerry D. Woehler, Eric J. Zawada, Kyle J.A. Zettler, Michael Lothar Brooks, Andrew J. Brown, James Hemphill Bruelheide, Helge Keeley, Erin C. Budy, Phaedra E. Carvalho, Fernando Casta?eda-Moya, Edward Chen, Chaolun Allen Chamblee, John F. Chase, Tory J. Siegwart-Collier, Laura C. Collinge, Sharon K. Condit, Richard S. Cooper, Elisabeth J. Badihi, Gal Cornelissen, Johannes H.C. Cotano, Unai Kyle Crow, Shannan Damasceno, Gabriella Davies, Claire H. Davis, Robert A. Day, Frank P. Degraer, Steven Johan Doherty, Tim S. Dunn, Timothy E. Kelt, Douglas A. Durigan, Giselda Duffy, James Emmett Edelist, Dor Edgar, Graham J. Elahi, Robin Elmendorf, Sarah C. Enemar, Anders Ernest, S. K.Morgan Escribano, Rub?n Estiarte, Marc Kinnear, Rebecca Evans, Brian S. Fan, Tungyung Farah, Fabiano Turini Loureiro Fernandes, Luiz F. Farneda, Fábio Z. Fidelis, Alessandra Tomaselli Fitt, Robert N.L. Fosaa, Anna Maria Daher Correa Franco, Geraldo Antonio Frank, Grace E. Klanderud, Kari Fraser, William R. García, Hernando Cazzolla Gatti, Roberto Givan, Or Gorgone-Barbosa, Elizabeth Gould, William A. Gries, Corinna Grossman, Gary D. Gutiérrez, Julio R. Hale, Stephen S. Knutsen, Halvor Harmon, Mark E. Harte, John Haskins, Gary Henshaw, Donald L. Hermanutz, Luise A. Hidalgo, Pamela Higuchi, Pedro Hoey, Andrew S. Van Hoey, Gert Hofgaard, Annika Koenig, Christopher Carl Holeck, Kristen T. Hollister, Robert D. Holmes, Richard T. Hoogenboom, Mia O. Hsieh, C. H. Hubbell, Stephen P. Huettmann, Falk H. Huffard, Christine Louise Hurlbert, Allen H. Ivanauskas, Natália Macedo Kortz, Alessandra Rocha Král, Kamil Kuhnz, Linda A. Kuo, Chaoyang Kushner, David J. Baird, A. H. Laguionie-Marchais, Claire Lancaster, Lesley T. Min Lee, Cheol Lefcheck, Jonathan S. Lévesque, Esther Lightfoot, David C. Lloret, Francisco Lloyd, John D. López-Baucells, Adrià Louzao, Maité Barbosa, Miguel F.V. Madin, Joshua S. Magnússon, Borgthór Malamud, Shahar Matthews, Iain M. McFarland, Kent P. McGill, Brian J. Mcknight, Diane M. McLarney, William O. Meador, Jason Meserve, Peter L. Barreto, Tiago Egydio Metcalfe, Daniel J. Meyer, Christoph F.J. Michelsen, Anders Milchakova, Nataliya Moens, Tom Moland, Even Moore, Jon Mathias Moreira, Carolina Müller, Jörg C. Murphy, Grace E.P. Bässler, Claus Myers-Smith, Isla H. Myster, Randall W. Naumov, Andrew D. Neat, Francis C. Nelson, James A. Paul Nelson, Michael Newton, Stephen F. Norden, Natalia Oliver, Jeffrey C. Olsen, Esben Moland Bellgrove, Alecia Onipchenko, Vladimir G. Pabis, Krzysztof Pabst, Robert J. Paquette, Alain Pardede, Shinta Trilestari Paterson, David M. Pélissier, Raphaël Penuelas, Josep Pérez-Matus, Alejandro Pizarro, Oscar R. Belmaker, Jonathan Pomati, Francesco Post, Eric Prins, Herbert H.T. Priscu, John C. Provoost, Pieter Prudic, Kathleen L. Pulliainen, Erkki Ramesh, Brahmasamudra Ranganna Mendivil Ramos, Olivia Rassweiler, Andrew R. Benedetti-Cecchi, L. Rebelo, José Eduardo |
Keywords: | Anthropocene Biodiversity Database Quantitative Analysis Spatial Analysis Species Richness Temporal Analysis Time Series Animalsia Invertebrata Vertebrata |
Issue Date: | 2018 |
metadata.dc.publisher.journal: | Global Ecology and Biogeography |
metadata.dc.relation.ispartof: | Volume 27, Número 7, Pags. 760-786 |
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. © 2018 The Authors. Global Ecology and Biogeography Published by John Wiley & Sons Ltd |
metadata.dc.identifier.doi: | 10.1111/geb.12729 |
Appears in Collections: | Artigos
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