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dc.contributor.authorKattge, Jens
dc.contributor.authorFagúndez, Jaime
dc.date.accessioned2020-01-21T15:45:11Z
dc.date.available2020-01-21T15:45:11Z
dc.date.issued2020-01-03
dc.identifier.citationKattge, J, Bönisch, G, Díaz, S, et al. TRY plant trait database – enhanced coverage and open access. Glob Change Biol. 2020; 26: 119– 188. https://doi.org/10.1111/gcb.14904es_ES
dc.identifier.issn1365-2486
dc.identifier.issn1354-1013
dc.identifier.urihttp://hdl.handle.net/2183/24731
dc.description.abstract[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.es_ES
dc.language.isoenges_ES
dc.publisherJohn Wiley & Sonses_ES
dc.relation.urihttps://doi.org/10.1111/gcb.14904es_ES
dc.rightsAtribución 4.0 Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/es/*
dc.subjectData coveragees_ES
dc.subjectData integrationes_ES
dc.subjectData representativenesses_ES
dc.subjectFunctional diversityes_ES
dc.subjectPlant traitses_ES
dc.subjectTRY plant trait databasees_ES
dc.titleTRY plant trait database – enhanced coverage and open accesses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleGlobal Change Biologyes_ES
UDC.volume26es_ES
UDC.issue1es_ES
UDC.startPage119es_ES
UDC.endPage188es_ES


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