PubAg

Main content area

BioTIME: A database of biodiversity time series for the Anthropocene

Author:
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, Benedetti‐Cecchi, 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, Castañeda‐Moya, 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, Tung‐Yung, 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, Gorgone‐Barbosa, 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, Chih‐hao, 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, Chao‐Yang, Kushner, David J., Laguionie‐Marchais, Claire, Lancaster, Lesley T., Min Lee, Cheol, Lefcheck, Jonathan S., Lévesque, Esther, Lightfoot, David, Lloret, Francisco, Lloyd, John D., López‐Baucells, 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, Myers‐Smith, 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, Pérez‐Matus, 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, Rivera‐Monroy, Victor H., Rixen, Christian, Robinson, Kevin P., Ribeiro Rodrigues, Ricardo, de Cerqueira Rossa‐Feres, Denise, Rudstam, Lars, Ruhl, Henry, Ruz, Catalina S., Sampaio, Erica M., Rybicki, Nancy, Rypel, Andrew, Sal, Sofia, Salgado, Beatriz, Santos, Flavio A. M., Savassi‐Coutinho, Ana Paula, Scanga, Sara, Schmidt, Jochen, Schooley, Robert, Setiawan, Fakhrizal, Shao, Kwang‐Tsao, 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, Stuart‐Smith, 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.
Source:
Global ecology and biogeography 2018 v.27 no.7 pp. 760-786
ISSN:
1466-822X
Subject:
Anthropocene epoch, biodiversity, data collection, databases, freshwater, invertebrates, plankton, quantitative analysis, time series analysis, vertebrates
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.
Agid:
6064591