1. Plant trait and vegetation data along a 1314 m elevation gradient with fire history in Puna grasslands, Perú.
- Author
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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, Chacón-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 TJ, Geange SR, Gonzales FN, Henn JJ, Hošková K, Isaksen A, Jessup LH, Johnson W, Kusch E, Lepley K, Lift M, Martyn TE, Muñoz 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, Sánchez-Tapia A, Smith A, Urquiaga-Flores E, von Oppen J, and Enquist BJ
- Subjects
- Biodiversity, Peru, Climate, Altitude, Fires, Ecosystem, Grassland, Plants
- 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., (© 2024. The Author(s).)
- Published
- 2024
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