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TRY plant trait database – enhanced coverage and open access

TRY plant trait database – enhanced coverage and open access
TRY plant trait database – enhanced coverage and open access
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.
TRY plant trait database, data coverage, data integration, data representativeness, functional diversity, plant traits
1354-1013
119-188
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et al.
Kattge, Jens
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Boenisch, Gerhard
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Diaz, Sandra
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Atkin, Owen
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Aubin, Isabelle
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Bahn, Michael
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Baker, Timothy
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Baker, William J.
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Baldocchi, Dennis
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Baltzer, Jennifer
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Kattge, Jens, Boenisch, Gerhard and Diaz, Sandra , et al. (2020) TRY plant trait database – enhanced coverage and open access. Global Change Biology, 26 (1), 119-188. (doi:10.1111/gcb.14904).

Record type: Article

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.

Text
Kattge et al 2020 Global Change Biology - Version of Record
Available under License Creative Commons Attribution.
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Accepted/In Press date: 12 September 2019
e-pub ahead of print date: 31 December 2019
Published date: 3 January 2020
Keywords: TRY plant trait database, data coverage, data integration, data representativeness, functional diversity, plant traits

Identifiers

Local EPrints ID: 437702
URI: http://eprints.soton.ac.uk/id/eprint/437702
ISSN: 1354-1013
PURE UUID: adc5d879-51c9-4151-b5fb-b0fd8f0926a9
ORCID for Jane A. Catford: ORCID iD orcid.org/0000-0003-0582-5960
ORCID for Bjorn Robroek: ORCID iD orcid.org/0000-0002-6714-0652

Catalogue record

Date deposited: 12 Feb 2020 17:31
Last modified: 18 Feb 2021 17:30

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Contributors

Author: Jens Kattge
Author: Gerhard Boenisch
Author: Sandra Diaz
Author: Sandra Lavorel
Author: Iain Colin Prentice
Author: Paul Leadley
Author: Susanne Tautenhahn
Author: Gijsbert D. A. Werner
Author: Tuomas Aakala
Author: Mehdi Abedi
Author: Alicia T. R. Acosta
Author: George C. Adamidis
Author: Kairi Adamson
Author: Masahiro Aiba
Author: Cecile H. Albert
Author: Julio M. Alcantara
Author: Carolina C. Alcazar
Author: Izabela Aleixo
Author: Hamada Ali
Author: Bernard Amiaud
Author: Christian Ammer
Author: Mariano M. Amoroso
Author: Madhur Anand
Author: Carolyn Anderson
Author: Niels Anten
Author: Joseph Antos
Author: Deborah Mattos Guimaraes Apgaua
Author: Tia-Lynn Ashman
Author: Degi Harja Asmara
Author: Gregory P. Asner
Author: Michael Aspinwall
Author: Owen Atkin
Author: Isabelle Aubin
Author: Lars Baastrup-Spohr
Author: Khadijeh Bahalkeh
Author: Michael Bahn
Author: Timothy Baker
Author: William J. Baker
Author: Jan P. Bakker
Author: Dennis Baldocchi
Author: Jennifer Baltzer
Author: Arindam Banerjee
Author: Anne Baranger
Author: Jos Barlow
Author: Diego R. Barneche
Author: Zdravko Baruch
Author: Denis Bastianelli
Author: John Battles
Author: Jane A. Catford ORCID iD
Author: Bjorn Robroek ORCID iD
Corporate Author: et al.

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