TY - JOUR
T1 - Plant trait and vegetation data along a 1314 m elevation gradient with fire history in Puna grasslands, Perú
AU - Halbritter, Aud H.
AU - Vandvik, Vigdis
AU - Cotner, Sehoya H.
AU - Farfan-Rios, William
AU - Maitner, Brian S.
AU - Michaletz, Sean T.
AU - Oliveras Menor, Imma
AU - Telford, Richard J.
AU - Ccahuana, Adam
AU - Cruz, Rudi
AU - Sallo-Bravo, Jhonatan
AU - Santos-Andrade, Paul Efren
AU - Vilca-Bustamante, Lucely L.
AU - Castorena, Matiss
AU - Chacón-Labella, Julia
AU - Christiansen, Casper Tai
AU - Duran, Sandra M.
AU - Egelkraut, Dagmar D.
AU - Gya, Ragnhild
AU - Haugum, Siri Vatsø
AU - Seltzer, Lorah
AU - Silman, Miles R.
AU - Strydom, Tanya
AU - Spiegel, Marcus P.
AU - Barros, Agustina
AU - Birkeli, Kristine
AU - Boakye, Mickey
AU - Chiappero, Fernanda
AU - Chmurzynski, Adam
AU - Garen, Josef C.
AU - Gaudard, Joseph
AU - Gauthier, Tasha Leigh J.
AU - Geange, Sonya R.
AU - Gonzales, Fiorella N.
AU - Henn, Jonathan J.
AU - Hošková, Kristýna
AU - Isaksen, Anders
AU - Jessup, Laura H.
AU - Johnson, Will
AU - Kusch, Erik
AU - Lepley, Kai
AU - Lift, Mackenzie
AU - Martyn, Trace E.
AU - Muñoz Mazon, Miguel
AU - Middleton, Sara L.
AU - Quinteros Casaverde, Natalia L.
AU - Navarro, Jocelyn
AU - Zepeda, Verónica
AU - Ocampo-Zuleta, Korina
AU - Palomino-Cardenas, Andrea Carmeli
AU - Pastor Ploskonka, Samuel
AU - Pierfederici, Maria Elisa
AU - Pinelli, Verónica
AU - Rickenback, Jess
AU - Roos, Ruben E.
AU - Rui, Hilde Stokland
AU - Sanchez Diaz, Eugenia
AU - Sánchez-Tapia, Andrea
AU - Smith, Alyssa
AU - Urquiaga-Flores, Erickson
AU - von Oppen, Jonathan
AU - Enquist, Brian J.
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024/12
Y1 - 2024/12
N2 - 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.
AB - 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.
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U2 - 10.1038/s41597-024-02980-3
DO - 10.1038/s41597-024-02980-3
M3 - Article
C2 - 38383609
AN - SCOPUS:85185828348
SN - 2052-4463
VL - 11
JO - Scientific Data
JF - Scientific Data
IS - 1
M1 - 225
ER -