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  5. TRY plant trait database – enhanced coverage and open access

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Article
en
2019

TRY plant trait database – enhanced coverage and open access

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en
2019
Vol 26 (1)
Vol. 26
DOI: 10.1111/gcb.14904

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Dennis Baldocchi
Dennis Baldocchi

University of California, Berkeley

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Jens Kattge
Gerhard Bönisch
Sandra Dı́az
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Abstract

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.

How to cite this publication

Jens Kattge, Gerhard Bönisch, Sandra Dı́az, Sandra Lavorel, I. Colin Prentice, Paul Leadley, Susanne Tautenhahn, Gijsbert D. A. Werner, Tuomas Aakala, Mehdi Abedi, Alicia Teresa Rosario Acosta, George C. Adamidis, Kairi Adamson, Masahiro Aiba, Cécile H. Albert, Julio M. Alcántara, Carolina Alcázar C, Izabela Aleixo, Hamada E. Ali, Bernard Amiaud, Christian Ammer, Mariano M. Amoroso, Madhur Anand, C. Anderson, Niels P. R. Anten, Joseph A. Antos, Deborah M. G. Apgaua, Tia‐Lynn Ashman, Degi Harja Asmara, Gregory P. Asner, Michael J. Aspinwall, Owen K. Atkin, Isabelle Aubin, Lars Baastrup‐Spohr, Khadijeh Bahalkeh, Michael Bahn, Timothy R. Baker, William J. Baker, Jan P. Bakker, Dennis Baldocchi, Jennifer L. Baltzer, Arindam Banerjee, Anne Baranger, Jos Barlow, Diego R. Barneche, Zdravko Baruch, Denis Bastianelli, John J. Battles, William L. Bauerle, Marijn Bauters, Erika Bazzato, Michael Beckmann, Hans Beeckman, Carl Beierkuhnlein, Renée M. Bekker, Gavin Belfry, Michaël Belluau, Mirela Beloiu, Raquel Benavides, Lahcen Benomar, Mary Lee Berdugo‐Lattke, Erika Berenguer, Rodrigo Scarton Bergamin, Joana Bergmann, Marcos Bergmann Carlucci, Logan T. Berner, Markus Bernhardt‐Römermann, Christof Bigler, Anne D. Bjorkman, Chris J. Blackman, C. Blanco, Benjamin Blonder, Dana M. Blumenthal, Kelly T. Bocanegra‐González, Pascal Boeckx, Stephanie Bohlman, Katrin Böhning‐Gaese, Laura Boisvert‐Marsh, William J. Bond, Ben Bond‐Lamberty, Arnoud Boom, Coline C. F. Boonman, Kauane Maiara Bordin, Elizabeth H. Boughton, Vanessa Boukili, David M. J. S. Bowman, Sandra Bravo, Marco R. Brendel, Martin R. Broadley, Kerry A. Brown, Helge Bruelheide, Federico Brumnich, Hans Henrik Bruun, David Bruy, Serra-Willow Buchanan, Solveig Franziska Bucher, Nina Buchmann, Robert Buitenwerf, Daniel E. Bunker, Jana Bürger (2019). TRY plant trait database – enhanced coverage and open access. , 26(1), DOI: https://doi.org/10.1111/gcb.14904.

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Publication Details

Type

Article

Year

2019

Authors

100

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1111/gcb.14904

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