Autor/a

Kattge, Jens

Bönisch, Gerhard

Díaz, Sandra

Lavorel, Sandra

Prentice, I. Colin

Leadley, Paul

Coll Mir, Lluís

Resco de Dios, Víctor

Fecha de publicación

2020-01-21T13:05:12Z

2020-01-21T13:05:12Z

2019-12-31



Resumen

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.


Funding Information: Max Planck Institute for Biogeochemistry; Max Planck Society; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig; International Programme of Biodiversity Science (DIVERSITAS); International Geosphere-Biosphere Programme (IGBP); Future Earth; French Foundation for Biodiversity Research (FRB); GIS ‘Climat, Environnement et Société' France; UK Natural Environment Research Council (NERC); AXA Research Fund

Tipo de documento

Artículo
Versión publicada

Lengua

Inglés

Materias y palabras clave

Data coverage; Data integration; Data representativeness; Functional diversity; Plant traits

Publicado por

John Wiley & Sons

Documentos relacionados

Reproducció del document publicat a: https://doi.org/10.1111/gcb.14904

Global Change Biology, 2020, vol. 26, núm. 1, p. 119-188

Derechos

cc-by (c) Kattge, Jens et al., 2019

https://creativecommons.org/licenses/by/4.0/

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