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BioTIME: A database of biodiversity time series for the Anthropocene

by Naumov, Andrew , Safety science group ; Delft University of Technology (TU Delft) , Huettmann, Falk , Matthews, Andrew , Elahi, Robin , Doherty, Victor , Lancaster, Lesley , Salgado, Beatriz , Elmendorf, Sara , Hoey, Andrew , Department of Biology [Copenhagen] ; Faculty of Science [Copenhagen] ; University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH) , Gould, William , Blowes, S , Cornelissen, Hans , Savassi-Coutinho, Ana Paula , Schmidt, Jochen , Norwegian Institute for Nature Research (NINA) , Lefcheck, Jon , Hermanutz, John , Cazzolla Gatti, Robert , Brown, James , Tarigan, Con , Institute for Marine and Antarctic Studies [Hobart] (IMAS) ; University of Tasmania [Hobart, Australia] (UTAS) , Dornelas, Maria , Rypel, Andrew , Pabst, Robert , Paul Nelson, Michael , Castañeda-Moya, Mia , Williams, Stefan , Chen, Allen , Soudzilovskaia, Con , Ramesh, B , Johannessen, Tore , Oliver, Jeffrey , Evolution et Diversité Biologique (EDB) ; Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) ; U

in Anthropocene / Anthropocene epoch / bialowieza national-park / Biodiversity / Biodiversity and Ecology / bird community dynamics / Botanics / data collection / Data Paper / Data Papers / Datasets / Ecology / Ecology, environment / Ecosystems / Ekologi / Environmental Sciences / Environmental Sciences & Ecology / estuarine coastal / freshwater / global / Invertebrates / lagoon / land-bridge islands / Leerstoelgroep Resource Ecology / Life Sciences / long-term change / Miljövetenskap / Naturgeografi / PE&RC / Physical Geography / Plankton / population trends / prairie / primeval temperate forest / Quantitative analysis / Query languages / Resource Ecology / Sampling / simulated herbivory / spatial / Species / species richness / Systematics, Phylogenetics and taxonomy / tallgrass / temporal / Terrestrial environments / Time series / time series analysis / tundra vegetation / turnover / Vegetal Biology / Vertebrates

2018

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2018

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2018

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Journal Article

BioTIME: A database of biodiversity time series for the Anthropocene

Naumov, Andrew,

Safety science group ; Delft University of Technology (TU Delft),

Huettmann, Falk,

Matthews, Andrew,

Elahi, Robin,

Doherty, Victor,

Lancaster, Lesley,

Salgado, Beatriz,

Elmendorf, Sara,

Hoey, Andrew,

Department of Biology [Copenhagen] ; Faculty of Science [Copenhagen] ; University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH),

Gould, William,

Blowes, S,

Cornelissen, Hans,

Savassi-Coutinho, Ana Paula,

Schmidt, Jochen,

Norwegian Institute for Nature Research (NINA),

Lefcheck, Jon,

Hermanutz, John,

Cazzolla Gatti, Robert,

Brown, James,

Tarigan, Con,

Institute for Marine and Antarctic Studies [Hobart] (IMAS) ; University of Tasmania [Hobart, Australia] (UTAS),

Dornelas, Maria,

Rypel, Andrew,

Pabst, Robert,

Paul Nelson, Michael,

Castañeda-Moya, Mia,

Williams, Stefan,

Chen, Allen,

Soudzilovskaia, Con,

Ramesh, B,

Johannessen, Tore,

Oliver, Jeffrey,

Evolution et Diversité Biologique (EDB) ; Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) ; U

2018

Overview

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.

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Publisher

Wiley,HAL CCSD,John Wiley & Sons Ltd,Wiley Subscription Services, Inc,John Wiley and Sons Inc

Subject

Anthropocene

/ Anthropocene epoch

/ bialowieza national-park

/ Biodiversity

/ Biodiversity and Ecology

/ bird community dynamics

/ Botanics