TRY plant trait database – enhanced coverage and open access

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...

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Autores principales: Kattge, Jens, Días, Sandra, Tautenhahn, Susanne, Werner, Gijsbert D. A., Aakala, Tuomas, Abedi, Mehdi, Acosta, Alicia T. R., Adamidis, George C., Aiba, Masahiro, Albert, Cécile H., 568 autores más.
Formato: Artículo
Lenguaje:Inglés
Publicado: 2021
Materias:
Acceso en línea:https://doi.org/10.1111/gcb.14904
https://repositorio.catie.ac.cr/handle/11554/10329
id RepoCATIE10329
record_format dspace
spelling RepoCATIE103292022-08-05T18:51:27Z TRY plant trait database – enhanced coverage and open access Kattge, Jens Días, Sandra Tautenhahn, Susanne Werner, Gijsbert D. A. Aakala, Tuomas Abedi, Mehdi Acosta, Alicia T. R. Adamidis, George C. Aiba, Masahiro Albert, Cécile H. 568 autores más. BASES DE DATOS DIVERSIDAD FUNCIONAL ECOSISTEMA CONSERVACION DE LA BIODIVERSIDAD PAISAJE RESTAURACION ECOLOGIA INTEGRACION TAXONOMIA PLANTAS 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. 2021-02-20T01:26:38Z 2021-02-20T01:26:38Z 2020 Artículo https://doi.org/10.1111/gcb.14904 https://repositorio.catie.ac.cr/handle/11554/10329 en Glob Change Biol, Volume 26 (2020), pages 119–188 info:eu-repo/semantics/openAccess application/pdf
institution Centro Agronómico Tropical de Investigación y Enseñanza
collection Repositorio CATIE
language Inglés
topic BASES DE DATOS
DIVERSIDAD FUNCIONAL
ECOSISTEMA
CONSERVACION DE LA BIODIVERSIDAD
PAISAJE
RESTAURACION
ECOLOGIA
INTEGRACION
TAXONOMIA
PLANTAS
spellingShingle BASES DE DATOS
DIVERSIDAD FUNCIONAL
ECOSISTEMA
CONSERVACION DE LA BIODIVERSIDAD
PAISAJE
RESTAURACION
ECOLOGIA
INTEGRACION
TAXONOMIA
PLANTAS
Kattge, Jens
Días, Sandra
Tautenhahn, Susanne
Werner, Gijsbert D. A.
Aakala, Tuomas
Abedi, Mehdi
Acosta, Alicia T. R.
Adamidis, George C.
Aiba, Masahiro
Albert, Cécile H.
568 autores más.
TRY plant trait database – enhanced coverage and open access
description 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.
format Artículo
author Kattge, Jens
Días, Sandra
Tautenhahn, Susanne
Werner, Gijsbert D. A.
Aakala, Tuomas
Abedi, Mehdi
Acosta, Alicia T. R.
Adamidis, George C.
Aiba, Masahiro
Albert, Cécile H.
568 autores más.
author_facet Kattge, Jens
Días, Sandra
Tautenhahn, Susanne
Werner, Gijsbert D. A.
Aakala, Tuomas
Abedi, Mehdi
Acosta, Alicia T. R.
Adamidis, George C.
Aiba, Masahiro
Albert, Cécile H.
568 autores más.
author_sort Kattge, Jens
title TRY plant trait database – enhanced coverage and open access
title_short TRY plant trait database – enhanced coverage and open access
title_full TRY plant trait database – enhanced coverage and open access
title_fullStr TRY plant trait database – enhanced coverage and open access
title_full_unstemmed TRY plant trait database – enhanced coverage and open access
title_sort try plant trait database – enhanced coverage and open access
publishDate 2021
url https://doi.org/10.1111/gcb.14904
https://repositorio.catie.ac.cr/handle/11554/10329
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