EGU23-908, updated on 22 Feb 2023
https://doi.org/10.5194/egusphere-egu23-908
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Recent developments in the context of the TRY Plant Trait Database 

Jens Kattge1,2, Gerhard Bönisch1, Olee Hoi Ying Lam1,3, David Schellenberger Costa2,4, Sandra Diaz5,6, Sandra Lavorel7, Iain Colin Prentice8,9,10, Paul Leadley11, Christian Wirth4,2, and the TRY Consortium*
Jens Kattge et al.
  • 1Max Planck Institute for Biogeochemistry, Jena, Germany (jkattge@bgc-jena.mpg.de)
  • 2German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Germany
  • 3University of Wisconsin-Madison, USA
  • 4University of Leipzig, Germany
  • 5Consejo Nacional de investigaciones Cient ficas y T cnicas, Instituto Multidisciplinario de Biolog a Vegetal (IMBIV), C rdoba, Argentina
  • 6Facultad de Ciencias Exactas, F sicas y Naturales, Universidad Nacional de C rdoba, Casilla de Correo 495, 5000, C rdoba, Argentina
  • 7Univ. Grenoble Alpes, CNRS, Univ. Savoie Mont Blanc, LECA, Grenoble, France
  • 8School of Natural Sciences, Macquarie University, Sydney, NSW, 2109, Australia
  • 9Georgina Mace Centre for the Living Planet, Departmentof Life Sciences, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot, SL5 7PY, UK
  • 10Ministry of Education Key Laboratory for Earth System Modelling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China
  • 11ESE Laboratory, Univ. Paris-Saclay, France
  • *A full list of authors appears at the end of the abstract

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. Therefore, measurements of plant traits and trait syndromes (consistent associations of plant traits) are valuable observations to evaluate models based on eco-evolutionary optimality (EEO) principles. In 2007 the TRY database project (https://www.try-db.org/) was initiated to improve the empirical basis for trait-based ecological studies, trying to bring together the different plant trait databases worldwide. As a result, the TRY Plant Trait Database has constantly been growing and has accomplished unprecedented coverage. Since 2019 the data are publicly available under a CC BY license. This presentation is supposed to provide an update on recent developments in the context of the TRY initiative, i.e. the recently released new version of the TRY database (version 6), the release of the 'Global Spectrum of Plant Form and Function Dataset', and the 'rtry' R package to support preprocessing of trait data retrieved from the TRY database.

TRY Consortium:

The Members of the TRY Initiative

How to cite: Kattge, J., Bönisch, G., Lam, O. H. Y., Schellenberger Costa, D., Diaz, S., Lavorel, S., Prentice, I. C., Leadley, P., and Wirth, C. and the TRY Consortium: Recent developments in the context of the TRY Plant Trait Database , EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-908, https://doi.org/10.5194/egusphere-egu23-908, 2023.