TRY plant trait database – enhanced coverage and open access

• Autores: Kattge, Jens; Bönisch, Gerard; Díaz, Sandra Myrna; Lavorel, Sandra; Prentice, Ian Colin; Leadley, Paul; Tautenhahn, Susanne; Werner, Gijsbert D. A.; Aakala, Tuomas; Abedi, Mehdi; Acosta, Alicia Teresa Rosario; Adamidis, George C.; Adamson, Kairi; Aiba, Masahiro; Albert, Cécile H.; Alcántara, Julio M.; Alcázar, Carolina C.; Aleixo, Izabela; Ali, Hamada Elsayed; Amiaud, Bernard; Ammer, Christian; Amoroso, Mariano Martin; Anand, Madhur; Anderson, Carolyn; Anten, Niels; Antos, Joseph; Mattos Guimarães Apgaua, Deborah; Ashman, Tia Lynn; Harja Asmara, Degi; Asner, Gregory P.; Peri, Pablo Luis
• Año de publicación: 2020
• Idioma: inglés
• Tipo de recurso: artículo
• Materia: Data coverage; Functional diversity; Plant traits; Data integration
• Institución: Consejo Nacional de Investigaciones Científicas y Técnicas

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.
Fil: Kattge, Jens. Max Planck Institute for Biogeochemistry; Alemania
Fil: Bönisch, Gerard. Max Planck Institute for Biogeochemistry; Alemania
Fil: Díaz, Sandra Myrna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina
Fil: Lavorel, Sandra. Centre National de la Recherche Scientifique; Francia
Fil: Prentice, Ian Colin. Imperial College London; Reino Unido
Fil: Leadley, Paul. Centre National de la Recherche Scientifique; Francia. Université Paris Sud; Francia. Centre D'etudes de Saclay; Francia
Fil: Tautenhahn, Susanne. Max Planck Institute for Biogeochemistry; Alemania
Fil: Werner, Gijsbert D. A.. University of Oxford; Reino Unido. Wetenschappelijke Raad voor het Regeringsbeleid; Países Bajos
Fil: Aakala, Tuomas. University Of Eastern Finland.; Finlandia
Fil: Abedi, Mehdi. Tarbiat Modares University; Irán
Fil: Acosta, Alicia Teresa Rosario. Università Roma Tre III; Italia
Fil: Adamidis, George C.. University of the Aegean; Grecia. University of Bern; Suiza
Fil: Adamson, Kairi. University of Tartu; Estonia
Fil: Aiba, Masahiro. Tohoku University; Japón
Fil: Albert, Cécile H.. Aix-Marseille Université; Francia. Centre National de la Recherche Scientifique; Francia
Fil: Alcántara, Julio M.. Universidad de Jaén; España
Fil: Alcázar, Carolina C.. Instituto Alexander Von Humboldt; Colombia
Fil: Aleixo, Izabela. Ministério da Ciência, Tecnologia, Inovações. Instituto Nacional de Pesquisas da Amazônia; Brasil
Fil: Ali, Hamada Elsayed. Sultan Qaboos University; Omán
Fil: Amiaud, Bernard. Université de Lorraine; Francia
Fil: Ammer, Christian. No especifíca;
Fil: Amoroso, Mariano Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. - Universidad Nacional de Rio Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural; Argentina
Fil: Anand, Madhur. University of Guelph; Canadá
Fil: Anderson, Carolyn. University of Massachusetts Amherst; Estados Unidos
Fil: Anten, Niels. University of Agriculture Wageningen; Países Bajos
Fil: Antos, Joseph. No especifíca;
Fil: Mattos Guimarães Apgaua, Deborah. School for Field Studies; Australia
Fil: Ashman, Tia Lynn. University of Pittsburgh; Estados Unidos
Fil: Harja Asmara, Degi. Laval University; Canadá
Fil: Asner, Gregory P.. Arizona State University; Estados Unidos
Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Tecnológica Nacional. Facultad Regional Santa Cruz. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Nacional de la Patagonia Austral. Centro de Investigaciones y Transferencia de Santa Cruz; Argentina