Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/174799
Title: TRY plant trait database - enhanced coverage and open access
Author: Illa Bachs, Estela
Keywords: Indicadors biològics
Conservació de la diversitat biològica
Bases de dades
Indicators (Biology)
Biodiversity conservation
Databases
Issue Date: 31-Dec-2019
Publisher: John Wiley & Sons
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
Note: Versió postprint del document publicat a: https://doi.org/10.1111/gcb.14904
It is part of: Global Change Biology, 2019, vol. 26, num. 1, p. 119-188
URI: http://hdl.handle.net/2445/174799
Related resource: https://doi.org/10.1111/gcb.14904
ISSN: 1354-1013
Appears in Collections:Articles publicats en revistes (Institut de Recerca de la Biodiversitat (IRBio))
Articles publicats en revistes (Biologia Evolutiva, Ecologia i Ciències Ambientals)
Publicacions de projectes de recerca finançats per la UE

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