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TRY plant trait database – enhanced coverage and open access

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GCB_GCB14904.pdf (7.716Mb)

peer-reviewed

Erstveröffentlichung
2019-12-31
Authors
Kattge, Jens
Bönisch, Gerhard
Díaz, Sandra
Lavorel, Sandra
Prentice, Iain Colin
et al.
Wissenschaftlicher Artikel


Published in
Global Change Biology ; 26 (2019), 1. - S. 119-188. - ISSN 1354-1013. - eISSN 1365-2486
Link to original publication
https://dx.doi.org/10.1111/gcb.14904
Faculties
Fakultät für Naturwissenschaften
Institutions
Institut für Systematische Botanik und Ökologie
Institut für Evolutionsökologie und Naturschutzgenomik
External cooperations
The Nutrient Network
Document version
published version (publisher's PDF)
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.
Is supplemented by
https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1111%2Fgcb.14904&file=gcb14904-sup-0001-Supinfo1.pdf
https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1111%2Fgcb.14904&file=gcb14904-sup-0002-Supinfo2.txt
https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1111%2Fgcb.14904&file=gcb14904-sup-0003-Supinfo3.txt
Subject headings
[GND]: Datenintegration
[LCSH]: Data integration (Computer science)
[Free subject headings]: data coverage | data representativeness | functional diversity | plant traits | TRY plant trait database
[DDC subject group]: DDC 004 / Data processing & computer science | DDC 580 / Botanical sciences
License
CC BY 4.0 International
https://creativecommons.org/licenses/by/4.0/

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DOI & citation

Please use this identifier to cite or link to this item: http://dx.doi.org/10.18725/OPARU-43379

Kattge, Jens et al. (2022): TRY plant trait database – enhanced coverage and open access. Open Access Repositorium der Universität Ulm und Technischen Hochschule Ulm. http://dx.doi.org/10.18725/OPARU-43379
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