生物时间数据库：一个关于人类世生物多样性时间序列的数据库。
BioTIME: A database of biodiversity time series for the Anthropocene.
作者信息
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, Hickler Thomas
机构信息
Centre for Biological Diversity and Scottish Oceans Institute, School of Biology, University of St. Andrews St Andrews United Kingdom.
Department of Biology and CESAM Universidade de Aveiro, Campus Universitário de Santiago Aveiro Portugal.
出版信息
Glob Ecol Biogeogr. 2018 Jul;27(7):760-786. doi: 10.1111/geb.12729. Epub 2018 Jul 24.
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 km (158 cm) to 100 km (1,000,000,000,000 cm).
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.
动机
BioTIME数据库包含生态群落中物种身份和丰度随时间变化的原始数据。这些数据使用户能够使用广泛的指标计算群落内部和之间生物多样性的时间趋势。BioTIME正在被开发成为一个由社区主导的生物多样性时间序列开源数据库。我们的目标是加速并促进对人类世生物多样性时间模式的定量分析。
包含的主要变量类型
该数据库包含8,777,413条物种丰度记录，这些记录来自持续采样至少2年的群落，采样年份不一定连续。此外，该数据库还包含与采样方法相关的元数据以及每条记录的背景信息。
空间位置和粒度
BioTIME是一个全球数据库，有547,161个独特的采样地点，涵盖海洋、淡水和陆地领域。数据集的粒度大小各不相同，从0.0000000158千米（158厘米）到100千米（1,000,000,000,000厘米）。
时间周期和粒度
BioTIME记录的时间跨度从1874年到2016年。BioTIME中所有数据集的最小时间粒度为一年。
主要分类群和测量水平
BioTIME包括来自植物和动物界44,440个物种的数据，范围从植物、浮游生物和陆地无脊椎动物到小型和大型脊椎动物。
软件格式
.csv和.SQL。
Zotero 插件