TRY plant trait database – enhanced coverage and open access

• Autores: Kattge, Jens; Bönisch, Gerhard; Díaz, Sandra; Lavorel, Sandra; Colin Prentice, Iain; Leadley, Paul; Wirth, Christian; Tautenhahn, Susanne; Werner, Gijsbert D.A.; Gargaglione, Veronica Beatriz; Peri, Pablo Luis
• Año de publicación: 2019
• Idioma: inglés
• Tipo de recurso: artículo
• Fuente: Global Change Biology 26 (1) : 119-188. (January 2020)
• Materia: Vegetation; Plant Cover; Morphology; Physiological Functions; Biochemical Compounds; Phenology; Environmental Factors; Ecosystems; Biodiversity Conservation; Landscape Conservation; Databases; Vegetación; Cubierta Vegetal; Morfología; Funciones Fisiológicas; Compuestos Bioquímicos; Fenología; Factores Ambientales; Ecosistemas; Conservación de la Diversidad Biológica; Conservación de Paisaje; Base de Datos; Data Coverage; Data Integration; Data Representativeness; Functional Diversity; Plant Traits; TRY Plant Trait Database; Cobertura de Datos; Integración de Datos; Representatividad de los Datos; Diversidad Funcional; Características de las Plantas; TRY Base de Datos de Características de las Plantas
• Institución: Instituto Nacional de Tecnología Agropecuaria

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.
EEA Santa Cruz
Fil: Kattge, Jens. Max Planck Institute for Biogeochemistry; Alemania
Fil: Kattge, Jens. German Center for Integrative Biodiversity Research (iDiv). Halle-Jena Leipzig; Alemania
Fil: Bönisch, Gerhard. Max Planck Institute for Biogeochemistry; Alemania
Fil: Díaz, Sandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto Multidisciplinario de Biología Vegetal (IMBIV); Argentina.
Fil: Díaz, Sandra. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.
Fil: Lavorel, Sandra. Université Grenoble Alpes. CNRS; Francia.
Fil: Lavorel, Sandra. Université Savoie Mont Blanc. LECA; Francia.
Fil: Colin Prentice, Iain. Imperial College; Reino Unido
Fil: Leadley, Paul. University of Paris-Sud. Ecologie Systématique Evolution. CNRS; Francia
Fil: Leadley, Paul. Université Paris-Saclay. AgroParisTech; Francia.
Fil: Wirth, Christian. Max Planck Institute for Biogeochemistry; Alemania
Fil: Wirth, Christian. German Center for Integrative Biodiversity Research (iDiv). Halle-Jena Leipzig; Alemania
Fil: Wirth, Christian. University of Leipzig; Alemania
Fil: Tautenhahn, Susanne. Max Planck Institute for Biogeochemistry; Alemania
Fil: Tautenhahn, Susanne. German Center for Integrative Biodiversity Research (iDiv). Halle-Jena Leipzig; Alemania
Fil: Werner, Gijsbert D.A. University of Oxford. Department of Zoology; Reino Unido
Fil: Werner, Gijsbert D.A. University of Oxford. Balliol College; Reino Unido
Fil: Gargaglione Verónica Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina.
Fil: Gargaglione Verónica Beatriz. Universidad Nacional de la Patagonia Austral; Argentina.
Fil: Gargaglione Verónica Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
Fil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina.
Fil: Peri, Pablo Luis. Universidad Nacional de la Patagonia Austral; Argentina.
Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.