Journal Article

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

Chmurzynski, Adam, Rui, Hilde, Stokland, Johnson, Will, Maitner, Brian, S, Christiansen, Casper, Tai, Silman, Miles, R, Castorena, Matiss, Ocampo-Zuleta, Korina, Vandvik, Vigdis, Lepley, Kai, Rickenback, Jess, Oliveras Menor, Imma, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [Occitanie])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université de Montpellier (UM), Kusch, Erik, Hošková, Kristýna, Seltzer, Lorah, Gaudard, Joseph, Smith, Alyssa, Chacón-Labella, Julia, Garen, Josef, C, Boakye, Mickey, Roos, Ruben, E, University of British Columbia (UBC), Palomino-Cardenas, Andrea, Carmeli, Lift, Mackenzie, Halbritter, Aud, H, Urquiaga-Flores, Erickson, Haugum, Siri, Vatsø, Spiegel, Marcus, P, Farfan-Rios, William, Muñoz Mazon, Miguel, Sallo-Bravo, Jhonatan, Zepeda, Verónica

2024

Overview

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. © The Author(s) 2024.

• Publisher: Nature Publishing Group,HAL CCSD,Nature Publishing Group UK,Nature Portfolio
• Subject: 631/158 / 631/449 / 704/158/2445 / 704/158/2453 / 704/158/2455 / Altitude / Biodiversity / Climate / Data Descriptor / Dry matter / Ecology / Ecosystem / Ecosystems / Ekologi / Environmental changes / Environmental Sciences / Fires / Grassland / Grasslands / Humanities and Social Sciences / Isotopes / Leaf area / Life history / multidisciplinary / Peru / Plants / Science / Science (multidisciplinary) / Vegetation