TRY plant trait database – enhanced coverage and open access

Kattge Jens, Bönisch Gerhard, Diaz Sandra, Lavorel Sandra, Prentice Lain Colin, Leadley Paul, Tautenhahn Susanne, Werner Gijsbert D. A., Bastianelli Denis, Derroire Géraldine, Herault Bruno, Justes Eric, Laclau Jean-Paul, Le Maire Guerric, Nouvellon Yann, Taugourdeau Simon, et al.. 2020. TRY plant trait database – enhanced coverage and open access. Global Change Biology, 26 (1) : pp. 119-188.

Journal article ; Article de recherche ; Article de revue à facteur d'impact
Published version - Anglais
License Licence Creative Commons.
Kattge 2020 TRY plant trait database – enhanced coverage and open access.pdf

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Abstract : Plant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits—almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.

Mots-clés Agrovoc : Écologie, Facteur du milieu, Morphologie végétale, Anatomie végétale, Physiologie végétale, Biochimie, Phénologie, Banque de données, libre accès

Mots-clés libres : Plant traits, Data coverage, Data integration, Data representativeness, Functional diversity, TRY plant trait database

Classification Agris : F40 - Plant ecology
F60 - Plant physiology and biochemistry
C30 - Documentation and information

Champ stratégique Cirad : CTS 1 (2019-) - Biodiversité

Auteurs et affiliations

  • Kattge Jens, Max Planck Institut für Biogeochemie (DEU) - auteur correspondant
  • Bönisch Gerhard, Max Planck Institut für Biogeochemie (DEU)
  • Diaz Sandra, Universidad Nacional de Cordoba (ARG)
  • Lavorel Sandra, Université de Grenoble (FRA)
  • Prentice Lain Colin, Imperial College London (GBR)
  • Leadley Paul, Université de Paris-Sud (FRA)
  • Tautenhahn Susanne, Max Planck Institut für Biogeochemie (DEU)
  • Werner Gijsbert D. A., University of Oxford (GBR)
  • Bastianelli Denis, CIRAD-ES-UMR SELMET (FRA) ORCID: 0000-0002-6394-5920
  • Derroire Géraldine, CIRAD-ES-UMR Ecofog (GUF) ORCID: 0000-0001-7239-2881
  • Herault Bruno, CIRAD-ES-UPR Forêts et sociétés (CIV) ORCID: 0000-0002-6950-7286
  • Justes Eric, CIRAD-DG-Saurs (FRA) ORCID: 0000-0001-7390-7058
  • Laclau Jean-Paul, CIRAD-DG-Saurs (FRA) ORCID: 0000-0002-2506-214X
  • Le Maire Guerric, CIRAD-PERSYST-UMR Eco&Sols (FRA) ORCID: 0000-0002-5227-958X
  • Nouvellon Yann, CIRAD-PERSYST-UMR Eco&Sols (THA)
  • Taugourdeau Simon, CIRAD-ES-UMR SELMET (SEN) ORCID: 0000-0001-6561-3228
  • et al.

Source : Cirad-Agritrop (

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