The TRY data compilation focuses on 52 groups of traits characterizing the vegetative and regeneration stages of plant life cycle, including growth, reproduction, dispersal, establishment and persistence (Table 2). These groups of traits were collectively agreed to be the most relevant for plant life-history strategies, vegetation modelling and global change responses on the basis of existing shortlists (Grime et al., 1997 ; Weiher et al., 1999 ; Lavorel & Garnier, 2002 ; Cornelissen et al., 2003b; Díaz et al., 2004 ; Kleyer et al., 2008 ) and wide consultation with vegetation modellers and plant ecologists. They include plant traits sensu stricto, but also ‘performances’ (sensuViolle et al., 2007 ), such as drought tolerance or phenology. Quantitative traits vary within species as a consequence of genetic variation (among genotypes within a population/species) and phenotypic plasticity. Ancillary information is necessary to understand and quantify this variation. The TRY dataset contains information about the location (e.g. geographical coordinates, soil characteristics), environmental conditions during plant growth (e.g. climate of natural environment or experimental treatment), and information about measurement methods and conditions (e.g. temperature during respiration or photosynthesis measurements). Ancillary data also include primary references. By preference individual measurements are compiled in the database, like single respiration measurements or the wood density of a specific individual tree. The dataset therefore includes multiple measurements for the same trait, species and site. For some traits, e.g. leaf longevity, such data are only rarely available on single individuals (e.g. Reich et al., 2004 ), and data are expressed per species per site instead. Different measurements on the same plant (resp. organ) are linked to form observations that are hierarchically nested. The database structure ensures that (1) the direct relationship between traits and ancillary data and between different traits that have been measured on the same plant (resp. organ) is maintained and (2) conditions (e.g. at the stand level) can be associated with the individual measurements (Kattge et al., 2010 ). The structure is consistent with the Extensible Observation Ontology (OBOE; Madin et al., 2008 (link)), which has been proposed as a general basis for the integration of different data streams in ecology. The TRY dataset combines several preexisting databases based on a wide range of primary data sources, which include trait data from plants grown in natural environments and under experimental conditions, obtained by a range of scientists with different methods. Trait variation in the TRY dataset therefore reflects natural and potential variation on the basis of individual measurements at the level of single organs, and variation due to different measurement methods and measurement error (random and bias).
Other organizations :
Max Planck Institute for Biogeochemistry, Universidad Nacional de Córdoba, Instituto Multidisciplinario de Biología Vegetal, Laboratoire d'Écologie Alpine, Centre National de la Recherche Scientifique, Macquarie University, Université Paris-Sud, Écologie, Systématique et Évolution, Centre d'Écologie Fonctionnelle et Évolutive, Minnesota Department of Natural Resources, University of Minnesota, Western Sydney University, Vrije Universiteit Amsterdam, University of Arizona, University of California, Berkeley, University of Guelph, Australian National University, Universität Innsbruck, University of Leeds, University of Groningen, Universidade Federal do Rio Grande do Sul, University of Cape Town, University of Wollongong, New Jersey Institute of Technology, Centro Agronomico Tropical de Investigacion y Ensenanza Catie, Lawrence Berkeley National Laboratory, University of Alaska Fairbanks, Laboratoire Evolution et Diversite Biologique, University of Cambridge, Kansas State University, Helmholtz Centre for Environmental Research, Arizona State University, University of Giessen, Centre for Research on Ecology and Forestry Applications, Universitat Autònoma de Barcelona, University of Maryland, College Park, University of Tolima, Universidade de São Paulo, Peuplements végétaux et bioagresseurs en milieu tropical, University of York, University of Bath, Harvard University, LOEWE Centre for Translational Biodiversity Genomics, Goethe University Frankfurt, University of Sheffield, Research Institute of Forests and Rangelands, Universität Ulm, Universidade Estadual de Campinas (UNICAMP), Kenyon College, Royal Botanic Gardens, Kew, University of Florida, Carl von Ossietzky Universität Oldenburg, University of Nebraska–Lincoln, Tohoku University, Northern Arizona University, University of Wisconsin–Eau Claire, Naturalis Biodiversity Center, James Cook University, Newcastle University, Environmental Earth Sciences, Leipzig University, Columbia University, Estonian University of Life Sciences, Polish Academy of Sciences, Institute of Dendrology, Lomonosov Moscow State University, Kyushu University, Wageningen University & Research, Consejo Superior de Investigaciones Científicas, Centre d'Investigacions sobre Desertificació, Forschungszentrum Jülich, University of Regensburg, Université de Rennes, Université du Québec à Trois-Rivières, Potsdam Institute for Climate Impact Research, University of California, Los Angeles, Hokkaido University, Université de Sherbrooke, Syracuse University, Brazilian Agricultural Research Corporation, University of Aberdeen, Michigan State University, Oak Ridge National Laboratory, University of Leicester, Utah State University, Smithsonian Tropical Research Institute, University of Missouri–St. Louis
52 groups of traits characterizing the vegetative and regeneration stages of plant life cycle, including growth, reproduction, dispersal, establishment and persistence
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