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Lookup NU author(s): Dr Richard Telford, William Johnson
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2024. The Author(s). Alpine grassland vegetation supports globally important biodiversity and ecosystems that are increasingly threatened by climate warming and other environmental changes. Trait-based approaches can support understanding of vegetation responses to global change drivers and consequences for ecosystem functioning. In six sites along a 1314 m elevational gradient in Puna grasslands in the Peruvian Andes, we collected datasets on vascular plant composition, plant functional traits, biomass, ecosystem fluxes, and climate data over three years. The data were collected in the wet and dry season and from plots with different fire histories. We selected traits associated with plant resource use, growth, and life history strategies (leaf area, leaf dry/wet mass, leaf thickness, specific leaf area, leaf dry matter content, leaf C, N, P content, C and N isotopes). The trait dataset contains 3,665 plant records from 145 taxa, 54,036 trait measurements (increasing the trait data coverage of the regional flora by 420%) covering 14 traits and 121 plant taxa (ca. 40% of which have no previous publicly available trait data) across 33 families.
Author(s): Halbritter AH, Vandvik V, Cotner SH, Farfan-Rios W, Maitner BS, Michaletz ST, Oliveras Menor I, Telford RJ, Ccahuana A, Cruz R, Sallo-Bravo J, Santos-Andrade PE, Vilca-Bustamante LL, Castorena M, Chacon-Labella J, Christiansen CT, Duran SM, Egelkraut DD, Gya R, Haugum SV, Seltzer L, Silman MR, Strydom T, Spiegel MP, Barros A, Birkeli K, Boakye M, Chiappero F, Chmurzynski A, Garen JC, Gaudard J, Gauthier T-LJ, Geange SR, Gonzales FN, Henn JJ, Hoskova K, Isaksen A, Jessup LH, Johnson W, Kusch E, Lepley K, Lift M, Martyn TE, Munoz Mazon M, Middleton SL, Quinteros Casaverde NL, Navarro J, Zepeda V, Ocampo-Zuleta K, Palomino-Cardenas AC, Pastor Ploskonka S, Pierfederici ME, Pinelli V, Rickenback J, Roos RE, Rui HS, Sanchez Diaz E, Sanchez-Tapia A, Smith A, Urquiaga-Flores E, von Oppen J, Enquist BJ
Publication type: Article
Publication status: Published
Journal: Scientific Data
Year: 2024
Volume: 11
Online publication date: 21/01/2024
Acceptance date: 16/01/2024
Date deposited: 05/03/2024
ISSN (electronic): 2052-4463
Publisher: Springer Nature
URL: https://doi.org/10.1038/s41597-024-02980-3
DOI: 10.1038/s41597-024-02980-3
Data Access Statement: The code used for checking, cleaning, and analysing the data are available in the open GitHub repository (https://github.com/Plant-Functional-Trait-Course/pftc3_punaproject_pftc5), of which a versioned copy is available at Zenodo. There is also a link to the code from the published dataset (https://doi.org/10.5281/zenodo.10071893).
PubMed id: 38383609
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