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dc.contributor.authorKattge, Jens
dc.contributor.authorBönisch, Gerhard
dc.contributor.authorDíaz, Sandra
dc.contributor.authorLavorel, Sandra
dc.contributor.authorPrentice, I. Colin
dc.contributor.authorLeadley, Paul
dc.contributor.authorColl Mir, Lluís
dc.contributor.authorResco de Dios, Víctor
dc.description.abstractPlant 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.ca_ES
dc.description.sponsorshipFunding Information: Max Planck Institute for Biogeochemistry; Max Planck Society; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig; International Programme of Biodiversity Science (DIVERSITAS); International Geosphere-Biosphere Programme (IGBP); Future Earth; French Foundation for Biodiversity Research (FRB); GIS ‘Climat, Environnement et Société' France; UK Natural Environment Research Council (NERC); AXA Research Fundca_ES
dc.publisherJohn Wiley & Sonsca_ES
dc.relation.isformatofReproducció del document publicat a:
dc.relation.ispartofGlobal Change Biology, 2020, vol. 26, núm. 1, p. 119-188ca_ES
dc.rightscc-by (c) Kattge, Jens et al., 2019ca_ES
dc.subjectData coverageca_ES
dc.subjectData integrationca_ES
dc.subjectData representativenessca_ES
dc.subjectFunctional diversityca_ES
dc.subjectPlant traitsca_ES
dc.titleTRY plant trait database – enhanced coverage and open accessca_ES

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cc-by (c) Kattge, Jens et al., 2019
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