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Plant trait and vegetation data along a 1314 m elevation gradient with fire history in Puna grasslands, Perú.

Authors :
Halbritter, Aud H.
Vandvik, Vigdis
Cotner, Sehoya H.
Farfan-Rios, William
Maitner, Brian S.
Michaletz, Sean T.
Oliveras Menor, Imma
Telford, Richard J.
Ccahuana, Adam
Cruz, Rudi
Sallo-Bravo, Jhonatan
Santos-Andrade, Paul Efren
Vilca-Bustamante, Lucely L.
Castorena, Matiss
Chacón-Labella, Julia
Christiansen, Casper Tai
Duran, Sandra M.
Egelkraut, Dagmar D.
Gya, Ragnhild
Haugum, Siri Vatsø
Source :
Scientific Data; 2/21/2024, Vol. 11 Issue 1, p1-18, 18p
Publication Year :
2024

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20524463
Volume :
11
Issue :
1
Database :
Complementary Index
Journal :
Scientific Data
Publication Type :
Academic Journal
Accession number :
175752540
Full Text :
https://doi.org/10.1038/s41597-024-02980-3