TRY plant trait database – enhanced coverage and open access

Jens Kattge, Gerhard Bönisch, Sandra Díaz, Sandra Lavorel, Iain Colin Prentice, Paul Leadley, Susanne Tautenhahn, Gijsbert D. A. Werner, Tuomas Aakala, Mehdi Abedi, Alicia T. R. Acosta, George C. Adamidis, Kairi Adamson, Masahiro Aiba, Cécile H. Albert, Julio M. Alcántara, Carolina Alcázar C, Izabela Aleixo, Hamada Ali, Bernard AmiaudChristian Ammer, Mariano M. Amoroso, Madhur Anand, Carolyn Anderson, Niels Anten, Joseph Antos, Deborah Mattos Guimarães Apgaua, Tia-Lynn Ashman, Degi Harja Asmara, Gregory P. Asner, Michael Aspinwall, Owen Atkin, Isabelle Aubin, Lars Baastrup-Spohr, Khadijeh Bahalkeh, Michael Bahn, Timothy Baker, William J. Baker, Jan P. Bakker, Dennis Baldocchi, Jennifer Baltzer, Arindam Banerjee, Joris P. G. M. Cromsigt, Sandy P. Harrison, Koen Kramer, Vladimir Onipchenko, Yusuke Onoda, Hendrik Poorter, Bjorn Robroek, Mariska te Beest

Research output: Contribution to journalArticleAcademicpeer-review


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.
Original languageEnglish
Pages (from-to)119-188
Number of pages70
JournalGlobal Change Biology
Issue number1
Publication statusPublished - 2020


  • data coverage
  • data integration
  • data representativeness
  • functional diversity
  • plant traits
  • TRY plant trait database


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