Artículos de revistas
BioTIME: A database of biodiversity time series for the Anthropocene
Fecha
2018-07-01Registro en:
Global Ecology and Biogeography, v. 27, n. 7, p. 760-786, 2018.
1466-8238
1466-822X
10.1111/geb.12729
2-s2.0-85047177487
Autor
University of St. Andrews
Universidade de Aveiro
University of Southampton Waterfront Campus
Memorial University of Newfoundland
Silva Tarouca Research Institute
Moscow State University
IOC Project Office for IODE
Marine Programme
French Institute of Pondicherry
James Cook University
São Paulo
Bavarian Forest National Park
Deakin University
Tel Aviv University
University of Pisa
Aarhus University
University of Łódź
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig
Bridgewater State University
The University of Hong Kong
Dutton Park
University of California
University of New Mexico
Martin-Luther-University Halle-Wittenberg
UCFWRU and Utah State University
Universidade do Extremo Sul Catarinense (PPG-CA)
Florida International University
Academia Sinica
University of Georgia
St John's
University of Colorado-Boulder
Center for Tropical Forest Science
UiT- The Arctic University of Norway
Vrije Universiteit
Herrera Kaia
The National Institute of Water and Atmospheric Research
Universidade Estadual Paulista (Unesp)
CSIRO Oceans and Atmosphere Flagship
Edith Cowan University
Old Dominion University
Marine Ecology and Management
Ghent University
Joint Nature Conservation Committee
Instituto Florestal
Smithsonian Institution
Tel-Shikmona
University of Tasmania
Stanford
University of Gothenburg
University of Florida
Universidad de Concepción
Global Ecology Unit CREAF-CSIC-UAB
Universitat Autònoma de Barcelona
National Zoological Park
National Museum of Marine Biology and Aquarium
Universidade de São Paulo (USP)
Universidade Federal do Espírito Santo (UFES)
University of Lisbon
National Institute for Amazonian Research and Smithsonian Tropical Research Institute
Federal University of Rio de Janeiro
University of Aberdeen
Faroese Museum of Natural History
Seção de Ecologia Florestal
Polar Oceans Research Group
Alexander von Humboldt Biological Resources Research Institute
Tomsk State University
International Institute of Tropical Forestry
University of Wisconsin
Universidad de La Serena
Centro de Estudios Avanzados en Zonas Aridas (CEAZA)
Institute of Ecology and Biodiversity (IEB)
Atlantic Ecology Division
Oregon State University
Cetacean Research & Rescue Unit
U.S. Forest Service Pacific Northwest Research Laboratory
Universidade do Estado de Santa Catarina
Fisheries and Food
Norwegian Institute for Nature Research
Cornell University
Grand Valley State University
Dartmouth College
National Taiwan University
Los Angeles
University of Alaska
Monterey Bay Aquarium Research Institute
University of North Carolina
Institute of Marine Research
University of Saskatchewan
Wildlife Conservation Society Indonesia Program
Davis
Shetland Oil Terminal Environmental Advisory Group (SOTEAG)
Norwegian University of Life Sciences
University of Agder
Florida State University Coastal and Marine Laboratory
California
NUI Galway
National Institute of Forest Science
Gloucester Point
Université du Québec à Trois-Rivières and Centre d’études nordiques
Vermont Center for Ecostudies
Museu de Ciències Naturals de Granollers
Kaneohe
Macquarie University
Icelandic Institute of Natural History
University of Maine
University of Colorado
Mainspring Conservation Trust
University of Idaho
University of Salford
University of Copenhagen
Kovalevsky Institute of Marine Biological Research of RAS (IMBR)
Aquatic Survey & Monitoring Ltd. ASML
Ceiba Consultoria Ambiental
University of Würzburg
Dalhousie University
University of Edinburgh
Oklahoma State University
Russian Academy Sciences
Scottish Government
University of Louisiana at Lafayette
BirdWatch Ireland
University of Arizona
Université du Québec à Montréal (UQAM)
Montpellier University
Pontificia Universidad Católica de Chile
University of Sydney
Eawag: Swiss Federal Institute of Aquatic Science and Technology
Wageningen University
Montana State University
Cold Spring Harbor Laboratory
University of Aveiro
University of Minnesota
Western Sydney University
BioSciences Precinct (QBP)
The University of Queensland
Virginia Institute of Marine Science
University of Helsinki
Louisiana State University
Snow and Landscape Research
Eberhard Karls University Tübingen
U.S. Geological Survey
University of Wisconsin-Madison
Imperial College London
Universidade Estadual de Campinas (UNICAMP)
Utica College
University of Illinois
Massachusetts
Maine Department of Marine Resources
Tulane University
Universidade Federal de São Carlos (UFSCar)
University of CapeTown
South African Environmental Observation Network
Marine Resources Research Institute
Leiden University
Universidade Federal do Rio de Janeiro (UFRJ)
University of South Florida
Ethica Ambiental
Research Institute for Nature and Forest
Universidade Estadual de Mato Grosso do Sul (UEMS)
University of Oulu
Estação Experimental de Bauru
University of Bergen
GEOMATRIX UAB
Universidad Austral de Chile and Centro FONDAP en Dinámica de Ecosistemas Marinos de Altas Latitudes (IDEAL)
Saint Louis University
Universidade Federal de Goiás (UFG)
Oceans and Coastal Research
University of Cape Town
VAST
Vietnam National Museum of Nature
Drew University
Wrocław University
Plymouth Marine Laboratory
McPherson College
Channel Highway
University of York
University of Connecticut
University of Portsmouth
WSL Institute for Snow and Avalanche Research SLF
Bennington College
D-18119 Rostock
Institución
Resumen
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.