Dataset Information

BioTIME: A database of biodiversity time series for the Anthropocene.

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.

SUBMITTER: Dornelas M

PROVIDER: S-EPMC6099392 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

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BioTIME: A database of biodiversity time series for the Anthropocene.

Dornelas Maria M Antão Laura H LH Moyes Faye F Bates Amanda E AE Magurran Anne E AE Adam Dušan D Akhmetzhanova Asem A AA Appeltans Ward W Arcos José Manuel JM Arnold Haley H Ayyappan Narayanan N Badihi Gal G Baird Andrew H AH Barbosa Miguel M Barreto Tiago Egydio TE Bässler Claus C Bellgrove Alecia A Belmaker Jonathan J Benedetti-Cecchi Lisandro L Bett Brian J BJ Bjorkman Anne D AD Błażewicz Magdalena M Blowes Shane A SA Bloch Christopher P CP Bonebrake Timothy C TC Boyd Susan S Bradford Matt M Brooks Andrew J AJ Brown James H JH Bruelheide Helge H Budy Phaedra P Carvalho Fernando F Castañeda-Moya Edward E Chen Chaolun Allen CA Chamblee John F JF Chase Tory J TJ Siegwart Collier Laura L Collinge Sharon K SK Condit Richard R Cooper Elisabeth J EJ Cornelissen J Hans C JHC Cotano Unai U Kyle Crow Shannan S Damasceno Gabriella G Davies Claire H CH Davis Robert A RA Day Frank P FP Degraer Steven S Doherty Tim S TS Dunn Timothy E TE Durigan Giselda G Duffy J Emmett JE Edelist Dor D Edgar Graham J GJ Elahi Robin R Elmendorf Sarah C SC Enemar Anders A Ernest S K Morgan SKM Escribano Rubén R Estiarte Marc M Evans Brian S BS Fan Tung-Yung TY Turini Farah Fabiano F Loureiro Fernandes Luiz L Farneda Fábio Z FZ Fidelis Alessandra A Fitt Robert R Fosaa Anna Maria AM Daher Correa Franco Geraldo Antonio GA Frank Grace E GE Fraser William R WR García Hernando H Cazzolla Gatti Roberto R Givan Or O Gorgone-Barbosa Elizabeth E Gould William A WA Gries Corinna C Grossman Gary D GD Gutierréz Julio R JR Hale Stephen S Harmon Mark E ME Harte John J Haskins Gary G Henshaw Donald L DL Hermanutz Luise L Hidalgo Pamela P Higuchi Pedro P Hoey Andrew A Van Hoey Gert G Hofgaard Annika A Holeck Kristen K Hollister Robert D RD Holmes Richard R Hoogenboom Mia M Hsieh Chih-Hao CH Hubbell Stephen P SP Huettmann Falk F Huffard Christine L CL Hurlbert Allen H AH Macedo Ivanauskas Natália N Janík David D Jandt Ute U Jażdżewska Anna A Johannessen Tore T Johnstone Jill J Jones Julia J Jones Faith A M FAM Kang Jungwon J Kartawijaya Tasrif T Keeley Erin C EC Kelt Douglas A DA Kinnear Rebecca R Klanderud Kari K Knutsen Halvor H Koenig Christopher C CC Kortz Alessandra R AR Král Kamil K Kuhnz Linda A LA Kuo Chao-Yang CY Kushner David J DJ Laguionie-Marchais Claire C Lancaster Lesley T LT Min Lee Cheol C Lefcheck Jonathan S JS Lévesque Esther E Lightfoot David D Lloret Francisco F Lloyd John D JD López-Baucells Adrià A Louzao Maite M Madin Joshua S JS Magnússon Borgþór B Malamud Shahar S Matthews Iain I McFarland Kent P KP McGill Brian B McKnight Diane D McLarney William O WO Meador Jason J Meserve Peter L PL Metcalfe Daniel J DJ Meyer Christoph F J CFJ Michelsen Anders A Milchakova Nataliya N Moens Tom T Moland Even E Moore Jon J Mathias Moreira Carolina C Müller Jörg J Murphy Grace G Myers-Smith Isla H IH Myster Randall W RW Naumov Andrew A Neat Francis F Nelson James A JA Paul Nelson Michael M Newton Stephen F SF Norden Natalia N Oliver Jeffrey C JC Olsen Esben M EM Onipchenko Vladimir G VG Pabis Krzysztof K Pabst Robert J RJ Paquette Alain A Pardede Sinta S Paterson David M DM Pélissier Raphaël R Peñuelas Josep J Pérez-Matus Alejandro A Pizarro Oscar O Pomati Francesco F Post Eric E Prins Herbert H T HHT Priscu John C JC Provoost Pieter P Prudic Kathleen L KL Pulliainen Erkki E Ramesh B R BR Mendivil Ramos Olivia O Rassweiler Andrew A Rebelo Jose Eduardo JE Reed Daniel C DC Reich Peter B PB Remillard Suzanne M SM Richardson Anthony J AJ Richardson J Paul JP van Rijn Itai I Rocha Ricardo R Rivera-Monroy Victor H VH Rixen Christian C Robinson Kevin P KP Ribeiro Rodrigues Ricardo R de Cerqueira Rossa-Feres Denise D Rudstam Lars L Ruhl Henry H Ruz Catalina S CS Sampaio Erica M EM Rybicki Nancy N Rypel Andrew A Sal Sofia S Salgado Beatriz B Santos Flavio A M FAM Savassi-Coutinho Ana Paula AP Scanga Sara S Schmidt Jochen J Schooley Robert R Setiawan Fakhrizal F Shao Kwang-Tsao KT Shaver Gaius R GR Sherman Sally S Sherry Thomas W TW Siciński Jacek J Sievers Caya C da Silva Ana Carolina AC Rodrigues da Silva Fernando F Silveira Fabio L FL Slingsby Jasper J Smart Tracey T Snell Sara J SJ Soudzilovskaia Nadejda A NA Souza Gabriel B G GBG Maluf Souza Flaviana F Castro Souza Vinícius V Stallings Christopher D CD Stanforth Rowan R Stanley Emily H EH Mauro Sterza José J Stevens Maarten M Stuart-Smith Rick R Rondon Suarez Yzel Y Supp Sarah S Yoshio Tamashiro Jorge J Tarigan Sukmaraharja S Thiede Gary P GP Thorn Simon S Tolvanen Anne A Teresa Zugliani Toniato Maria M Totland Ørjan Ø Twilley Robert R RR Vaitkus Gediminas G Valdivia Nelson N Vallejo Martha Isabel MI Valone Thomas J TJ Van Colen Carl C Vanaverbeke Jan J Venturoli Fabio F Verheye Hans M HM Vianna Marcelo M Vieira Rui P RP Vrška Tomáš T Quang Vu Con C Van Vu Lien L Waide Robert B RB Waldock Conor C Watts Dave D Webb Sara S Wesołowski Tomasz T White Ethan P EP Widdicombe Claire E CE Wilgers Dustin D Williams Richard R Williams Stefan B SB Williamson Mark M Willig Michael R MR Willis Trevor J TJ Wipf Sonja S Woods Kerry D KD Woehler Eric J EJ Zawada Kyle K Zettler Michael L ML Hickler Thomas T

Global ecology and biogeography : a journal of macroecology 20180724 7

<h4>Motivation</h4>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.<h4>Main types of ...[more]

PMID: 30147447

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Project description:Over the past centuries, humans have transformed large parts of the biosphere, and there is a growing need to understand and predict the distribution of biodiversity hotspots influenced by the presence of humans. Our basic hypothesis is that human influence in the Anthropocene is ubiquitous, and we predict that biodiversity hot spot modeling can be improved by addressing three challenges raised by the increasing ecological influence of humans: (i) anthropogenically modified responses to individual ecological factors, (ii) fundamentally different processes and predictors in landscape types shaped by different land use histories and (iii) a multitude and complexity of natural and anthropogenic processes that may require many predictors and even multiple models in different landscape types. We modeled the occurrence of veteran oaks in Norway, and found, in accordance with our basic hypothesis and predictions, that humans influence the distribution of veteran oaks throughout its range, but in different ways in forests and open landscapes. In forests, geographical and topographic variables related to the oak niche are still important, but the occurrence of veteran oaks is shifted toward steeper slopes, where logging is difficult. In open landscapes, land cover variables are more important, and veteran oaks are more common toward the north than expected from the fundamental oak niche. In both landscape types, multiple predictor variables representing ecological and human-influenced processes were needed to build a good model, and several models performed almost equally well. Models accounting for the different anthropogenic influences on landscape structure and processes consistently performed better than models based exclusively on natural biogeographical and ecological predictors. Thus, our results for veteran oaks clearly illustrate the challenges to distribution modeling raised by the ubiquitous influence of humans, even in a moderately populated region, but also show that predictions can be improved by explicitly addressing these anthropogenic complexities.

Dataset Information

BioTIME: A database of biodiversity time series for the Anthropocene.

Publications

BioTIME: A database of biodiversity time series for the Anthropocene.

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