@Article{Kattge_etal2020,
author="Kattge, J.
and B{\"o}nisch, G.
and D{\'i}az, S.
and Lavorel, S.
and Prentice, I.C.
and Leadley, P.
and Tautenhahn, S.
and Werner, G.D.A.
and Aakala, T.
and Abedi, M.
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and Adamidis, G.C.
and Adamson, K.
and Aiba, M.
and Albert, C.H.
and Alc{\'a}ntara, J.M.
and Alc{\'a}zar C, C.
and Aleixo, I.
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and Amiaud, B.
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and Amoroso, M.M.
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and Ashman, T.-L.
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and Aspinwall, M.
and Atkin, O.
and Aubin, I.
and Baastrup-Spohr, L.
and Bahalkeh, K.
and Bahn, M.
and Baker, T.
and Baker, W.J.
and Bakker, J.P.
and Baldocchi, D.
and Baltzer, J.
and Banerjee, A.
and Baranger, A.
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and Barneche, D.R.
and Baruch, Z.
and Bastianelli, D.
and Battles, J.
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and Bauters, M.
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and Berenguer, E.
and Bergamin, R.
and Bergmann, J.
and Bergmann Carlucci, M.
and Berner, L.
and Bernhardt-R{\"o}mermann, M.
and Bigler, C.
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and Blonder, B.
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and Boeckx, P.
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and Brendel, M.R.
and Broadley, M.R.
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and Bruelheide, H.
and Brumnich, F.
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and Bruy, D.
and Buchanan, S.W.
and Bucher, S.F.
and Buchmann, N.
and Buitenwerf, R.
and Bunker, D.E.
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and The Nutrient Network",
title="TRY plant trait database -- enhanced coverage and open access",
journal="Global Change Biol.",
year="2020",
publisher="Blackwell Publishing Ltd",
volume="26",
number="1",
pages="119--188",
optkeywords="data coverage",
optkeywords="data integration",
optkeywords="data representativeness",
optkeywords="functional diversity",
optkeywords="plant traits",
optkeywords="TRY plant trait database",
optkeywords="biodiversity",
optkeywords="data processing",
optkeywords="database",
optkeywords="ecological modeling",
optkeywords="environmental factor",
optkeywords="growth",
optkeywords="intraspecific competition",
optkeywords="access to information",
optkeywords="ecology",
optkeywords="ecosystem",
optkeywords="plant",
optkeywords="Plants",
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 {\textquoteleft}plant growth form{\textquoteright}. 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.",
optnote="exported from refbase (http://php.ecofog.gf/refbase/show.php?record=918), last updated on Wed, 19 Feb 2020 10:04:39 -0300",
issn="13541013 (Issn)",
doi="10.1111/gcb.14904",
opturl="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075196338&doi=10.1111\%2fgcb.14904&partnerID=40&md5=b6245aa34a9fd211b8e05762b14d10bb"
}