TRY plant trait database – enhanced coverage and open access

The Nutrient Network

Research output: Contribution to journalArticle

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 - 1 Jan 2020

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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

Cite this

The Nutrient Network. / 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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}

TRY plant trait database – enhanced coverage and open access. / The Nutrient Network.

In: Global Change Biology, Vol. 26, No. 1, 01.01.2020, p. 119-188.

Research output: Contribution to journalArticle

TY - JOUR

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

AU - The Nutrient Network

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 - Baker, Timothy

AU - Baker, William J.

AU - Bakker, Jan P.

AU - Baldocchi, Dennis

AU - Baltzer, Jennifer

AU - Banerjee, Arindam

AU - Baranger, Anne

AU - Barlow, Jos

AU - Barneche, Diego R.

AU - Baruch, Zdravko

AU - Bastianelli, Denis

AU - Battles, John

AU - Bauerle, William

AU - Bauters, Marijn

AU - Bazzato, Erika

AU - Beckmann, Michael

AU - Beeckman, Hans

AU - Beierkuhnlein, Carl

AU - Bekker, Renee

AU - Belfry, Gavin

AU - Belluau, Michael

AU - Beloiu, Mirela

AU - Benavides, Raquel

AU - Benomar, Lahcen

AU - Berdugo-Lattke, Mary Lee

AU - Berenguer, Erika

AU - Bergamin, Rodrigo

AU - Bergmann, Joana

AU - Bergmann Carlucci, Marcos

AU - Berner, Logan

AU - Bernhardt-Römermann, Markus

AU - Bigler, Christof

AU - Bjorkman, Anne D.

AU - Blackman, Chris

AU - Blanco, Carolina

AU - Blonder, Benjamin

AU - Blumenthal, Dana

AU - Bocanegra-González, Kelly T.

AU - Boeckx, Pascal

AU - Bohlman, Stephanie

AU - Böhning-Gaese, Katrin

AU - Boisvert-Marsh, Laura

AU - Bond, William

AU - Bond-Lamberty, Ben

AU - Boom, Arnoud

AU - Boonman, Coline C.F.

AU - Bordin, Kauane

AU - Boughton, Elizabeth H.

AU - Boukili, Vanessa

AU - Bowman, David M.J.S.

AU - Bravo, Sandra

AU - Brendel, Marco Richard

AU - Broadley, Martin R.

AU - Brown, Kerry A.

AU - Bruelheide, Helge

AU - Brumnich, Federico

AU - Bruun, Hans Henrik

AU - Bruy, David

AU - Buchanan, Serra W.

AU - Bucher, Solveig Franziska

AU - Buchmann, Nina

AU - Buitenwerf, Robert

AU - Bunker, Daniel E.

AU - Bürger, Jana

AU - Burrascano, Sabina

AU - Burslem, David F.R.P.

AU - Butterfield, Bradley J.

AU - Byun, Chaeho

AU - Marques, Marcia

AU - Scalon, Marina C.

AU - Caccianiga, Marco

AU - Cadotte, Marc

AU - Cailleret, Maxime

AU - Camac, James

AU - Camarero, Jesús Julio

AU - Campany, Courtney

AU - Campetella, Giandiego

AU - Campos, Juan Antonio

AU - Cano-Arboleda, Laura

AU - Canullo, Roberto

AU - Carbognani, Michele

AU - Carvalho, Fabio

AU - Casanoves, Fernando

AU - Castagneyrol, Bastien

AU - Catford, Jane A.

AU - Cavender-Bares, Jeannine

AU - Cerabolini, Bruno E.L.

AU - Cervellini, Marco

AU - Chacón-Madrigal, Eduardo

AU - Chapin, Kenneth

AU - Chapin, F. Stuart

AU - Chelli, Stefano

AU - Chen, Si Chong

AU - Chen, Anping

AU - Cherubini, Paolo

AU - Chianucci, Francesco

AU - Choat, Brendan

AU - Chung, Kyong Sook

AU - Chytrý, Milan

AU - Ciccarelli, Daniela

AU - Coll, Lluís

AU - Collins, Courtney G.

AU - Conti, Luisa

AU - Coomes, David

AU - Cornelissen, Johannes H.C.

AU - Cornwell, William K.

AU - Corona, Piermaria

AU - Coyea, Marie

AU - Craine, Joseph

AU - Craven, Dylan

AU - Cromsigt, Joris P.G.M.

AU - Csecserits, Anikó

AU - Cufar, Katarina

AU - Cuntz, Matthias

AU - da Silva, Ana Carolina

AU - Dahlin, Kyla M.

AU - Dainese, Matteo

AU - Dalke, Igor

AU - Dalle Fratte, Michele

AU - Dang-Le, Anh Tuan

AU - Danihelka, Jirí

AU - Dannoura, Masako

AU - Dawson, Samantha

AU - de Beer, Arend Jacobus

AU - De Frutos, Angel

AU - De Long, Jonathan R.

AU - Dechant, Benjamin

AU - Delagrange, Sylvain

AU - Delpierre, Nicolas

AU - Derroire, Géraldine

AU - Dias, Arildo S.

AU - Diaz-Toribio, Milton Hugo

AU - Dimitrakopoulos, Panayiotis G.

AU - Dobrowolski, Mark

AU - Doktor, Daniel

AU - Dřevojan, Pavel

AU - Dong, Ning

AU - Dransfield, John

AU - Dressler, Stefan

AU - Duarte, Leandro

AU - Ducouret, Emilie

AU - Dullinger, Stefan

AU - Durka, Walter

AU - Duursma, Remko

AU - Dymova, Olga

AU - E-Vojtkó, Anna

AU - Eckstein, Rolf Lutz

AU - Ejtehadi, Hamid

AU - Elser, James

AU - Emilio, Thaise

AU - Engemann, Kristine

AU - Erfanian, Mohammad Bagher

AU - Erfmeier, Alexandra

AU - Esquivel-Muelbert, Adriane

AU - Esser, Gerd

AU - Estiarte, Marc

AU - Domingues, Tomas F.

AU - Fagan, William F.

AU - Fagúndez, Jaime

AU - Falster, Daniel S.

AU - Fan, Ying

AU - Fang, Jingyun

AU - Farris, Emmanuele

AU - Fazlioglu, Fatih

AU - Feng, Yanhao

AU - Fernandez-Mendez, Fernando

AU - Ferrara, Carlotta

AU - Ferreira, Joice

AU - Fidelis, Alessandra

AU - Finegan, Bryan

AU - Firn, Jennifer

AU - Flowers, Timothy J.

AU - Flynn, Dan F.B.

AU - Fontana, Veronika

AU - Forey, Estelle

AU - Forgiarini, Cristiane

AU - François, Louis

AU - Frangipani, Marcelo

AU - Frank, Dorothea

AU - Frenette-Dussault, Cedric

AU - Freschet, Grégoire T.

AU - Fry, Ellen L.

AU - Fyllas, Nikolaos M.

AU - Mazzochini, Guilherme G.

AU - Gachet, Sophie

AU - Gallagher, Rachael

AU - Ganade, Gislene

AU - Ganga, Francesca

AU - García-Palacios, Pablo

AU - Gargaglione, Verónica

AU - Garnier, Eric

AU - Garrido, Jose Luis

AU - de Gasper, André Luís

AU - Gea-Izquierdo, Guillermo

AU - Gibson, David

AU - Gillison, Andrew N.

AU - Giroldo, Aelton

AU - Glasenhardt, Mary Claire

AU - Gleason, Sean

AU - Gliesch, Mariana

AU - Goldberg, Emma

AU - Göldel, Bastian

AU - He, Tianhua

AU - Johnson, David

AU - Martin, Adam

AU - Mucina, Ladislav

AU - Ottaviani, Gianluigi

AU - Riviera, Fiamma

AU - Smith, Nicholas G.

AU - Tsakalos, James L.

AU - Veneklaas, Erik J.

AU - Wang, Han

AU - Wang, Feng

AU - White, Philip John

PY - 2020/1/1

Y1 - 2020/1/1

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

UR - http://www.scopus.com/inward/record.url?scp=85075196338&partnerID=8YFLogxK

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

ER -