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 Amiaud & 30 others Christian 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, Renee Bekker, Joris P.G.M. Cromsigt, Bryan Finegan, Koen Kramer, Madelon Lohbeck, Yusuke Onoda, Wim A. Ozinga, Andreas Prinzing, Bjorn Robroek, Martijn Slot, Frank Sterck, Mariska te Beest, Peter M. van Bodegom, Masha T. van der Sande

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

4 Citations (Scopus)

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
Volume26
Issue number1
DOIs
Publication statusPublished - Jan 2020

Fingerprint

Ecology
Ecosystems
Biodiversity
Restoration
Conservation
Earth (planet)
mobilization
ecology
ecosystem management
evolutionary biology
intraspecific variation
growth form
conservation management
biogeography
trophic level
modeling
environmental factor
biodiversity
ecosystem
vegetation

Keywords

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

Cite this

Kattge, J., Bönisch, G., Díaz, S., Lavorel, S., Prentice, I. C., Leadley, P., ... van der Sande, M. T. (2020). TRY plant trait database – enhanced coverage and open access. Global Change Biology, 26(1), 119-188. https://doi.org/10.1111/gcb.14904
Kattge, Jens ; Bönisch, Gerhard ; Díaz, Sandra ; Lavorel, Sandra ; Prentice, Iain Colin ; Leadley, Paul ; Tautenhahn, Susanne ; Werner, Gijsbert D.A. ; Aakala, Tuomas ; Abedi, Mehdi ; Acosta, Alicia T.R. ; Adamidis, George C. ; Adamson, Kairi ; Aiba, Masahiro ; Albert, Cécile H. ; Alcántara, Julio M. ; Alcázar C, Carolina ; Aleixo, Izabela ; Ali, Hamada ; Amiaud, Bernard ; Ammer, Christian ; Amoroso, Mariano M. ; Anand, Madhur ; Anderson, Carolyn ; Anten, Niels ; Antos, Joseph ; Apgaua, Deborah Mattos Guimarães ; Ashman, Tia Lynn ; Asmara, Degi Harja ; Asner, Gregory P. ; Aspinwall, Michael ; Atkin, Owen ; Aubin, Isabelle ; Baastrup-Spohr, Lars ; Bahalkeh, Khadijeh ; Bahn, Michael ; Bekker, Renee ; Cromsigt, Joris P.G.M. ; Finegan, Bryan ; Kramer, Koen ; Lohbeck, Madelon ; Onoda, Yusuke ; Ozinga, Wim A. ; Prinzing, Andreas ; Robroek, Bjorn ; Slot, Martijn ; Sterck, Frank ; te Beest, Mariska ; van Bodegom, Peter M. ; van der Sande, Masha T. / TRY plant trait database – enhanced coverage and open access. In: Global Change Biology. 2020 ; Vol. 26, No. 1. pp. 119-188.
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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.",
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Kattge, J, Bönisch, G, Díaz, S, Lavorel, S, Prentice, IC, Leadley, P, Tautenhahn, S, Werner, GDA, Aakala, T, Abedi, M, Acosta, ATR, Adamidis, GC, Adamson, K, Aiba, M, Albert, CH, Alcántara, JM, Alcázar C, C, Aleixo, I, Ali, H, Amiaud, B, Ammer, C, Amoroso, MM, Anand, M, Anderson, C, Anten, N, Antos, J, Apgaua, DMG, Ashman, TL, Asmara, DH, Asner, GP, Aspinwall, M, Atkin, O, Aubin, I, Baastrup-Spohr, L, Bahalkeh, K, Bahn, M, Bekker, R, Cromsigt, JPGM, Finegan, B, Kramer, K, Lohbeck, M, Onoda, Y, Ozinga, WA, Prinzing, A, Robroek, B, Slot, M, Sterck, F, te Beest, M, van Bodegom, PM & van der Sande, MT 2020, 'TRY plant trait database – enhanced coverage and open access', Global Change Biology, vol. 26, no. 1, pp. 119-188. https://doi.org/10.1111/gcb.14904

TRY plant trait database – enhanced coverage and open access. / Kattge, Jens; Bönisch, Gerhard; Díaz, Sandra; Lavorel, Sandra; Prentice, Iain Colin; Leadley, Paul; Tautenhahn, Susanne; Werner, Gijsbert D.A.; Aakala, Tuomas; Abedi, Mehdi; Acosta, Alicia T.R.; Adamidis, George C.; Adamson, Kairi; Aiba, Masahiro; Albert, Cécile H.; Alcántara, Julio M.; Alcázar C, Carolina; Aleixo, Izabela; Ali, Hamada; Amiaud, Bernard; Ammer, Christian; Amoroso, Mariano M.; Anand, Madhur; Anderson, Carolyn; Anten, Niels; Antos, Joseph; Apgaua, Deborah Mattos Guimarães; Ashman, Tia Lynn; Asmara, Degi Harja; Asner, Gregory P.; Aspinwall, Michael; Atkin, Owen; Aubin, Isabelle; Baastrup-Spohr, Lars; Bahalkeh, Khadijeh; Bahn, Michael; Bekker, Renee; Cromsigt, Joris P.G.M.; Finegan, Bryan; Kramer, Koen; Lohbeck, Madelon; Onoda, Yusuke; Ozinga, Wim A.; Prinzing, Andreas; Robroek, Bjorn; Slot, Martijn; Sterck, Frank; te Beest, Mariska; van Bodegom, Peter M.; van der Sande, Masha T.

In: Global Change Biology, Vol. 26, No. 1, 01.2020, p. 119-188.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - TRY plant trait database – enhanced coverage and open access

AU - Kattge, Jens

AU - Bönisch, Gerhard

AU - Díaz, Sandra

AU - Lavorel, Sandra

AU - Prentice, Iain Colin

AU - Leadley, Paul

AU - Tautenhahn, Susanne

AU - Werner, Gijsbert D.A.

AU - Aakala, Tuomas

AU - Abedi, Mehdi

AU - Acosta, Alicia T.R.

AU - Adamidis, George C.

AU - Adamson, Kairi

AU - Aiba, Masahiro

AU - Albert, Cécile H.

AU - Alcántara, Julio M.

AU - Alcázar C, Carolina

AU - Aleixo, Izabela

AU - Ali, Hamada

AU - Amiaud, Bernard

AU - Ammer, Christian

AU - Amoroso, Mariano M.

AU - Anand, Madhur

AU - Anderson, Carolyn

AU - Anten, Niels

AU - Antos, Joseph

AU - Apgaua, Deborah Mattos Guimarães

AU - Ashman, Tia Lynn

AU - Asmara, Degi Harja

AU - Asner, Gregory P.

AU - Aspinwall, Michael

AU - Atkin, Owen

AU - Aubin, Isabelle

AU - Baastrup-Spohr, Lars

AU - Bahalkeh, Khadijeh

AU - Bahn, Michael

AU - Bekker, Renee

AU - Cromsigt, Joris P.G.M.

AU - Finegan, Bryan

AU - Kramer, Koen

AU - Lohbeck, Madelon

AU - Onoda, Yusuke

AU - Ozinga, Wim A.

AU - Prinzing, Andreas

AU - Robroek, Bjorn

AU - Slot, Martijn

AU - Sterck, Frank

AU - te Beest, Mariska

AU - van Bodegom, Peter M.

AU - van der Sande, Masha T.

PY - 2020/1

Y1 - 2020/1

N2 - 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.

AB - 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.

KW - data coverage

KW - data integration

KW - data representativeness

KW - functional diversity

KW - plant traits

KW - TRY plant trait database

U2 - 10.1111/gcb.14904

DO - 10.1111/gcb.14904

M3 - Article

VL - 26

SP - 119

EP - 188

JO - Global Change Biology

JF - Global Change Biology

SN - 1354-1013

IS - 1

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Kattge J, Bönisch G, Díaz S, Lavorel S, Prentice IC, Leadley P et al. TRY plant trait database – enhanced coverage and open access. Global Change Biology. 2020 Jan;26(1):119-188. https://doi.org/10.1111/gcb.14904