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

Aud H. Halbritter, Vigdis Vandvik, Sehoya H. Cotner, William Farfan-Rios, Brian S. Maitner, Sean T. Michaletz, Imma Oliveras Menor, Richard J. Telford, Adam Ccahuana, Rudi Cruz, Jhonatan Sallo-Bravo, Paul Efren Santos-Andrade, Lucely L. Vilca-Bustamante, Matiss Castorena, Julia Chacón-Labella, Casper Tai Christiansen, Sandra M. Duran, Dagmar D. Egelkraut, Ragnhild Gya, Siri Vatsø HaugumLorah Seltzer, Miles R. Silman, Tanya Strydom, Marcus P. Spiegel, Agustina Barros, Kristine Birkeli, Mickey Boakye, Fernanda Chiappero, Adam Chmurzynski, Josef C. Garen, Joseph Gaudard, Tasha-Leigh J. Gauthier, Sonya R. Geange, Fiorella N. Gonzales, Jonathan J. Henn, Kristýna Hošková, Anders Isaksen, Laura H. Jessup, Will Johnson, Erik Kusch, Kai Lepley, Mackenzie Lift, Trace E. Martyn, Miguel Muñoz Mazon, Sara L. Middleton, Natalia L. Quinteros Casaverde, Jocelyn Navarro, Verónica Zepeda, Korina Ocampo-Zuleta, Andrea Carmeli Palomino-Cardenas, Samuel Pastor Ploskonka, Maria Elisa Pierfederici, Verónica Pinelli, Jess Rickenback, Ruben E. Roos, Hilde Stokland Rui, Eugenia Sanchez Diaz, Andrea Sánchez-Tapia, Alyssa Smith, Erickson Urquiaga-Flores, Jonathan von Oppen, Brian J. Enquist

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

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.
Original languageEnglish
Article number225
JournalScientific Data
Volume11
Issue number1
DOIs
Publication statusPublished - 21 Feb 2024

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