Artículo
FunAndes – A functional trait database of Andean plants
Báez, Selene; Cayuela, Luis; Macía, Manuel J.; Álvarez Dávila, Esteban; Apaza Quevedo, Amira; Arnelas, Itziar; Baca Cortes, Natalia; Bañares de Dios, Guillermo; Bauters, Marijn; Ben Saadi, Celina; Blundo, Cecilia Mabel
; Cabrera, Marian; Castaño, Felipe; Cayola, Leslie; de Aledo, Julia G.; Espinosa, Carlos Iván; Fadrique, Belén; Farfán Rios, William; Fuentes, Alfredo; Garnica Díaz, Claudia; González, Mailyn; González, Diego; Hensen, Isabell; Hurtado, Ana Belén; Jadán, Oswaldo; Lippok, Denis; Loza, M. Isabel; Maldonado, Carla Carolina; Malizia, Lucio Ricardo; Matas Granados, Laura
Fecha de publicación:
12/2022
Editorial:
Nature Publishing Group
Revista:
Scientific Data
e-ISSN:
2052-4463
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
We introduce the FunAndes database, a compilation of functional trait data for the Andean flora spanning six countries. FunAndes contains data on 24 traits across 2,694 taxa, for a total of 105,466 entries. The database features plant-morphological attributes including growth form, and leaf, stem, and wood traits measured at the species or individual level, together with geographic metadata (i.e., coordinates and elevation). FunAndes follows the field names, trait descriptions and units of measurement of the TRY database. It is currently available in open access in the FIGSHARE data repository, and will be part of TRY’s next release. Open access trait data from Andean plants will contribute to ecological research in the region, the most species rich terrestrial biodiversity hotspot.
Palabras clave:
FUNCTIONAL TRAITS
,
TREES
,
ANDEAN FORESTS
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(IER)
Articulos de INSTITUTO DE ECOLOGIA REGIONAL
Articulos de INSTITUTO DE ECOLOGIA REGIONAL
Citación
Báez, Selene; Cayuela, Luis; Macía, Manuel J.; Álvarez Dávila, Esteban; Apaza Quevedo, Amira; et al.; FunAndes – A functional trait database of Andean plants; Nature Publishing Group; Scientific Data; 9; 1; 12-2022; 1-9
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