FunAndes – A functional trait database of Andean plants
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Published:2022-08-20
Issue:1
Volume:9
Page:
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ISSN:2052-4463
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Container-title:Scientific Data
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language:en
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Short-container-title:Sci Data
Author:
Báez Selene, Cayuela Luis, Macía Manuel J.ORCID, Álvarez-Dávila Esteban, Apaza-Quevedo Amira, Arnelas ItziarORCID, Baca-Cortes Natalia, Bañares de Dios GuillermoORCID, Bauters MarijnORCID, Ben Saadi CelinaORCID, Blundo CeciliaORCID, Cabrera Marian, Castaño Felipe, Cayola Leslie, de Aledo Julia G.ORCID, Espinosa Carlos Iván, Fadrique BelénORCID, Farfán-Rios WilliamORCID, Fuentes Alfredo, Garnica-Díaz Claudia, González Mailyn, González Diego, Hensen Isabell, Hurtado Ana BelénORCID, Jadán Oswaldo, Lippok Denis, Loza M. Isabel, Maldonado Carla, Malizia Lucio, Matas-Granados Laura, Myers Jonathan A., Norden NataliaORCID, Oliveras Menor Imma, Pierick KerstinORCID, Ramírez-Angulo Hirma, Salgado-Negret BeatrizORCID, Schleuning Matthias, Silman Miles, Solarte-Cruz María Elena, Tello J. Sebastián, Verbeeck Hans, Vilanova EmilioORCID, Weithmann Greta, Homeier JürgenORCID
Abstract
AbstractWe 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.
Funder
Alexander von Humboldt-Stiftung Living Earth Collaborative, Washington University in Saint Louis iDIV
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability
Reference29 articles.
1. Violle, C. et al. Let the concept of trait be functional! Oikos 116, 882–892, https://doi.org/10.1111/j.0030-1299.2007.15559.x (2007). 2. Enquist, B. J. et al. In Advances in Ecological Research Vol. Volume 52 (eds G., Woodward, S., Pawar & Dell Anthony, I.) 249–318 (Academic Press, 2015). 3. Suding, K. N. et al. Scaling environmental change through the community-level: a trait-based response-and-effect framework for plants. Global Change Biology 14, 1125–1140 (2008). 4. Reich, P. B. The world-wide ‘fast–slow’ plant economics spectrum: a traits manifesto. Journal of Ecology 102, 275–301 (2014). 5. Báez, S., Fadrique, B., Feeley, K. & Homeier, J. Changes in tree functional composition across topographic gradients and through time in a tropical montane forest. PLOS ONE 17, e0263508, https://doi.org/10.1371/journal.pone.0263508 (2022).
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