Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 559449
Title TRY plant trait database – enhanced coverage and open access
Author(s) Kattge, Jens; Bönisch, Gerhard; Díaz, Sandra; Lavorel, Sandra; Prentice, Iain Colin; Leadley, Paul; Tautenhahn, Susanne; Werner, Gijsbert D.A.; Aakala, Tuomas; Abedi, Mehdi; Acosta, Alicia T.R.; Adamidis, George C.; Adamson, Kairi; Aiba, Masahiro; Albert, Cécile H.; Alcántara, Julio M.; Alcázar C, Carolina; Aleixo, Izabela; Ali, Hamada; Amiaud, Bernard; Ammer, Christian; Amoroso, Mariano M.; Anand, Madhur; Anderson, Carolyn; Anten, Niels; Antos, Joseph; Apgaua, Deborah Mattos Guimarães; Ashman, Tia Lynn; Asmara, Degi Harja; Asner, Gregory P.; Aspinwall, Michael; Atkin, Owen; Aubin, Isabelle; Baastrup-Spohr, Lars; Bahalkeh, Khadijeh; Bahn, Michael; Bekker, Renee; Cromsigt, Joris P.G.M.; Finegan, Bryan; Kramer, Koen; Lohbeck, Madelon; Onoda, Yusuke; Ozinga, Wim A.; Prinzing, Andreas; Robroek, Bjorn; Slot, Martijn; Sterck, Frank; Beest, Mariska te; Bodegom, Peter M. van; Sande, Masha T. van der
Source Global Change Biology 26 (2020)1. - ISSN 1354-1013 - p. 119 - 188.
DOI https://doi.org/10.1111/gcb.14904
Department(s) PE&RC
Crop and Weed Ecology
Vegetation, Forest and Landscape Ecology
Forest Ecology and Forest Management
Centre for Crop Systems Analysis
Wildlife Ecology and Conservation
Publication type Refereed Article in a scientific journal
Publication year 2020
Keyword(s) data coverage - data integration - data representativeness - functional diversity - plant traits - TRY plant trait database
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.

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