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 O LIVERAS MENOR; RICHARD J. TELFORD; ADAM CCAHUANA; RUDI CRUZ; JHONATAN SALLO-BRAVO; PAUL E FREN SANTOS-ANDRADE; LUCELY L. VILCA-BUSTAMANTE; MATISS CASTORENA; JULIA CHACÓN-LABELLA; CASPER TAI CHRISTIANSEN; SANDRA M. DURAN; DAGMAR D. E GELKRAUT; RAGNHILD GYA; SIRI VATSØ HAUGUM; LORAH SELTZER; MILES R . SILMAN; TANYA STRYDOM; MARCUS P. SPIEGEL; AGUSTINA BARROS; KRISTINE BIRKELI; MICKEY BOAKYE; CHIAPPERO M. FERNANDA

SCIENTIFIC DATA

Nature Research

Año: 2024 vol. 11

2052-4463

Alpine grassland vegetation supports globally important biodiversity and ecosystems thatare increasingly threatened by climate warming and other environmental changes. Traitbasedapproaches can support understanding of vegetation responses to global changedrivers and consequences for ecosystem functioning. In six sites along a 1314 m elevationalgradient in Puna grasslands in the Peruvian Andes, we collected datasets on vascular plantcomposition, plant functional traits, biomass, ecosystem fluxes, and climate data over threeyears. The data were collected in the wet and dry season and from plots with different firehistories. We selected traits associated with plant resource use, growth, and life historystrategies (leaf area, leaf dry/wet mass, leaf thickness, specific leaf area, leaf dry mattercontent, leaf C, N, P content, C and N isotopes). The trait dataset contains 3,665 plant recordsfrom 145 taxa, 54,036 trait measurements (increasing the trait data coverage of the regionalflora by 420%) covering 14 traits and 121 plant taxa (ca. 40% of which have no previouspublicly available trait data) across 33 families.