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dc.contributor.authorKattge, Jens
dc.contributor.authorDías, Sandra
dc.contributor.authorTautenhahn, Susanne
dc.contributor.authorWerner, Gijsbert D. A.
dc.contributor.authorAakala, Tuomas
dc.contributor.authorAbedi, Mehdi
dc.contributor.authorAcosta, Alicia T. R.
dc.contributor.authorAdamidis, George C.
dc.contributor.authorAiba, Masahiro
dc.contributor.authorAlbert, Cécile H.
dc.contributor.author568 autores más.
dc.date.accessioned2021-02-20T01:26:38Z
dc.date.available2021-02-20T01:26:38Z
dc.date.issued2020
dc.identifier.urihttps://doi.org/10.1111/gcb.14904
dc.identifier.urihttps://repositorio.catie.ac.cr/handle/11554/10329
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.es_ES
dc.language.isoenes_ES
dc.relation.ispartofGlob Change Biol, Volume 26 (2020), pages 119–188es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectBASES DE DATOSes_ES
dc.subjectDIVERSIDAD FUNCIONALes_ES
dc.subjectECOSISTEMAes_ES
dc.subjectCONSERVACION DE LA BIODIVERSIDADes_ES
dc.subjectPAISAJEes_ES
dc.subjectRESTAURACIONes_ES
dc.subjectECOLOGIAes_ES
dc.subjectINTEGRACIONes_ES
dc.subjectTAXONOMIAes_ES
dc.subjectPLANTASes_ES
dc.titleTRY plant trait database – enhanced coverage and open accesses_ES
dc.typeArtículoes_ES


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