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

作者：Aud H. Halbritter, Vigdis Vandvik, Sehoya Cotner, William Farfán-Ríos, Brian Maitner, Sean T. Michaletz, Imma Oliveras Menor, Richard J. Telford, Adam Ccahuana, Rudi Cruz, Jhonatan Sallo‐Bravo, Paul E. Santos Andrade, Lucely L. Vilca‐Bustamante, Matiss Castorena, Julia Chacón‐Labella, Casper T. Christiansen, Sandra M. Durán, Dagmar Egelkraut, Ragnhild Gya, Siri Vatsø Haugum, Lorah Seltzer, Miles R. Silman, Tanya Strydom, Marcus P. Spiegel, Agustina Barros, Kristine Birkeli, Mickey Boakye, Fernanda Chiappero, Adam Chmurzynski, Josef C. Garen, Joseph Gaudard, T. 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 Mazón, Sara Lil 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, E Díaz, Andrea Sánchez‐Tapia, Alyssa Smith, Erickson Urquiaga‐Flores, Jonathan von Oppen, Brian J. Enquist · 发表于：Scientific Data · 年份：2024 · DOI：10.1038/s41597-024-02980-3 · 被引用次数：7 · 研究领域：Ecology and Vegetation Dynamics Studies、Species Distribution and Climate Change、Rangeland and Wildlife Management

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.