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Organized Oral Session

Hybrid Session

Session: : Plant Traits for All Ecologists

OOS 35-1 - Global plant trait data for global questions: TRY and the move to Open Data

Wednesday, August 9, 2023
8:00 AM – 8:15 AM PDT
Location: 252

    Presenting Author(s)

  • JK

    Jens Kattge

    Max Planck Institute for Biogeochemistry, Germany

    • Co-author(s)

  • GB

    Gerhard Boenisch

    Max Planck Institute for Biogeochemistry, Jena, Germany

  • OL

    Olee Hoi Ying Lam

    University of Wisconsin-Madison, USA

  • DS

    David Schellenberger Costa

    University of Leipzig, Germany; German Centre For Integrative Biodiversity Research (IDiv) Halle-Jena-Leipzig, Germany

  • SD

    Sandra Diaz

    Consejo Nacional de investigaciones Cient ficas y T cnicas, Instituto Multidisciplinario de Biolog a Vegetal (IMBIV), Cordoba, Argentina; Facultad de Ciencias Exactas, F sicas y Naturales, Universidad Nacional de C rdoba, Casilla de Correo 495, 5000, Cordoba, Argentina

  • SL

    Sandra Lavorel

    Univ. Grenoble Alpes, CNRS, Univ. Savoie Mont Blanc, LECA, Grenoble, France

  • IP

    Iain Colin C. Prentice

    Department of Biological Sciences, Macquarie University, North Ryde, NSW 2109, Australia, Australia

  • PL

    Paul Leadley

    ESE Laboratory, Univ. Paris-Saclay, France

  • CW

    Christian Wirth

    University of Leipzig; German Centre for Integrative Biodiversity Research (iDiv), United States

Plant traits - morphological, anatomical, biochemical, physiological or phenological features measurable at the level of individuals or their component organs or tissues - reflect the outcome of evolutionary and community assembly processes responding to abiotic and biotic environmental constraints. Measurements of plant traits and trait syndromes (consistent associations of plant traits) are valuable observations for various applications from ecology to Earth system sciences.

In 2007 the TRY database project (https://www.trydb.org/) was initiated to improve the empirical basis for trait-based ecological studies, trying to bring together the different plant trait datasets worldwide. As a result, the TRY Plant Trait Database has constantly been growing and has accomplished unprecedented coverage. Since 2015 the data are publicly available, and since 2019 under a CC BY license. TRY currently serves about 5000 requests per year, and trait data via TRY have contributed to about 450 publications we know.

This presentation will highlight some applications using trait data via TRY and provide an update on recent and upcoming developments in the context of the TRY initiative, i.e. the recently released new version of the TRY database (version 6), the improved data integration workflow for TRY version 7, and the 'rtry' R package to support preprocessing of trait data retrieved from the TRY database.