RivFishTIME: A global database of fish time‐series to study global change ecology in riverine systems

  • Lise Comte
    Department of Ecology and Evolutionary Biology University of Tennessee, Knoxville Knoxville Tennessee USA
  • Juan Carvajal‐Quintero
    Research Unit 5174 Laboratoire Evolution et Diversité Biologique CNRS Institut de Recherche pour le Développement Université Paul Sabatier Toulouse France
  • Pablo A. Tedesco
    Research Unit 5174 Laboratoire Evolution et Diversité Biologique CNRS Institut de Recherche pour le Développement Université Paul Sabatier Toulouse France
  • Xingli Giam
    Department of Ecology and Evolutionary Biology University of Tennessee, Knoxville Knoxville Tennessee USA
  • Ulrich Brose
    German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Leipzig Germany
  • Tibor Erős
    Centre for Ecological Research Balaton Limnological Institute Tihany Hungary
  • Ana F. Filipe
    CIBIO/InBIO Centro de Investigação em Biodiversidade e Recursos Genéticos da Universidade do Porto Vairão Portugal
  • Marie‐Josée Fortin
    Department of Ecology and Evolutionary Biology University of Toronto Toronto Ontario Canada
  • Katie Irving
    Department of Ecosystem Research Leibniz Institute of Freshwater Ecology and Inland Fisheries Berlin Germany
  • Claire Jacquet
    Department of Aquatic Ecology Swiss Federal Institute of Aquatic Science and Technology Eawag, Dübendorf Switzerland
  • Stefano Larsen
    Department of Civil, Environmental and Mechanical Engineering University of Trento Trento Italy
  • Sapna Sharma
    Department of Biology York University Toronto Ontario Canada
  • Albert Ruhi
    Department of Environmental Science, Policy, and Management University of California, Berkeley Berkeley California USA
  • Fernando G. Becker
    Department of Ecology Universidade Federal do Rio Grande do Sul Porto Alegre Rio Grande do Sul Brazil
  • Lilian Casatti
    Department of Zoology and Botany UNESP – São Paulo State University São José do Rio Preto São Paulo Brazil
  • Giuseppe Castaldelli
    Department of Life Sciences and Biotechnology University of Ferrara Ferrara Italy
  • Renato B. Dala‐Corte
    Department of Ecology Universidade Federal de Goiás Goiânia Goiás Brazil
  • Stephen R. Davenport
    New Mexico Fish and Wildlife Conservation Office Albuquerque New Mexico USA
  • Nathan R. Franssen
    U.S. Fish and Wildlife Service Albuquerque New Mexico USA
  • Emili García‐Berthou
    Institute of Aquatic Ecology GRECO University of Girona Girona Catalonia Spain
  • Anna Gavioli
    Department of Life Sciences and Biotechnology University of Ferrara Ferrara Italy
  • Keith B. Gido
    Division of Biology Kansas State University Manhattan Kansas USA
  • Luz Jimenez‐Segura
    Instituto de Biologia Universidad de Antioquia Medellin Colombia
  • Rafael P. Leitão
    Laboratório de Ecologia de Peixes Department of Genetics, Ecology and Evolution Federal University of Minas Gerais (UFMG) Belo Horizonte Minas Gerais Brazil
  • Bill McLarney
    Mainspring Conservation Trust Franklin North Carolina USA
  • Jason Meador
    Mainspring Conservation Trust Franklin North Carolina USA
  • Marco Milardi
    Fisheries New Zealand – Tini a Tangaroa Ministry for Primary Industries – Manatū Ahu Matua Wellington New Zealand
  • David B. Moffatt
    Department of Environment and Science Ecosciences Precinct Dutton Park Queensland Australia
  • Thiago V. T. Occhi
    Department of Ecology and Conservation Federal University of Paraná Curitiba Brazil
  • Paulo S. Pompeu
    Department of Ecology and Conservation University of Lavras (UFLA) Lavras Minas Gerais Brazil
  • David L. Propst
    Department of Biology Museum of Southwestern Biology University of New Mexico Albuquerque New Mexico USA
  • Mark Pyron
    Department of Biology Ball State University Muncie Indiana USA
  • Gilberto N. Salvador
    Ecology and Conservation Laboratory (LABECO) Federal University of Pará (UFPA) Belém Pará Brazil
  • Jerome A. Stefferud
    USDA Forest Service (Retired) Phoenix Arizona USA
  • Tapio Sutela
    Natural Resources Institute Finland Helsinki Finland
  • Christopher Taylor
    Department of Biology and School of Earth, Environmental, and Marine Sciences University of Texas Rio Grande Valley Edinburg Texas USA
  • Akira Terui
    Department of Biology University of North Carolina at Greensboro Greensboro North Carolina USA
  • Hirokazu Urabe
    Salmon and Freshwater Fisheries Research Institute Hokkaido Research Organization Eniwa Hokkaido Japan
  • Teppo Vehanen
    Natural Resources Institute Finland Helsinki Finland
  • Jean R. S. Vitule
    Department of Environmental Engineering Federal University of Paraná Curitiba Paraná Brazil
  • Jaquelini O. Zeni
    Department of Zoology and Botany UNESP – São Paulo State University São José do Rio Preto São Paulo Brazil
  • Julian D. Olden
    School of Aquatic and Fishery Sciences University of Washington Seattle Washington USA

抄録

<jats:title>Abstract</jats:title><jats:sec><jats:title>Motivation</jats:title><jats:p>We compiled a global database of long‐term riverine fish surveys from 46 regional and national monitoring programmes and from individual academic research efforts, with which numerous basic and applied questions in ecology and global change research can be explored. Such spatially and temporally extensive datasets have been lacking for freshwater systems in comparison to terrestrial ones.</jats:p></jats:sec><jats:sec><jats:title>Main types of variables contained</jats:title><jats:p>The database includes 11,386 time‐series of riverine fish community catch data, including 646,270 species‐specific abundance records, together with metadata related to the geographical location and sampling methodology of each time‐series.</jats:p></jats:sec><jats:sec><jats:title>Spatial location and grain</jats:title><jats:p>The database contains 11,072 unique sampling locations (stream reach), spanning 19 countries, five biogeographical realms and 402 hydrographical basins world‐wide.</jats:p></jats:sec><jats:sec><jats:title>Time period and grain</jats:title><jats:p>The database encompasses the period 1951–2019. Each time‐series is composed of a minimum of two yearly surveys (mean = 8 years) and represents a minimum time span of 10 years (mean = 19 years).</jats:p></jats:sec><jats:sec><jats:title>Major taxa and level of measurement</jats:title><jats:p>The database includes 944 species of ray‐finned fishes (Class Actinopterygii).</jats:p></jats:sec><jats:sec><jats:title>Software format</jats:title><jats:p>csv.</jats:p></jats:sec><jats:sec><jats:title>Main conclusion</jats:title><jats:p>Our collective effort provides the most comprehensive long‐term community database of riverine fishes to date. This unique database should interest ecologists who seek to understand the impacts of human activities on riverine fish biodiversity and to model and predict how fish communities will respond to future environmental change. Together, we hope it will promote advances in macroecological research in the freshwater realm.</jats:p></jats:sec>

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