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

Aud H HalbritterVigdis VandvikSehoya H CotnerWilliam Farfan-RiosBrian Salvin MaitnerSean T MichaletzImma Oliveras MenorRichard J TelfordAdam CcahuanaRudi S Cruz ChinoJhonatan Sallo-BravoPaul Efren Santos-AndradeLucely L Vilca-BustamanteMatiss CastorenaJulia Chacón-LabellaCasper Tai ChristiansenSandra M DuranDagmar D EgelkrautRagnhild GyaSiri Vatsø HaugumLorah SeltzerMiles R SilmanTanya StrydomMarcus P SpiegelAgustina BarrosKristine BirkeliMickey BoakyeFernanda ChiapperoAdam ChmurzynskiJosef C GarenJoseph GaudardTasha-Leigh J GauthierSonya Rita GeangeFiorella N GonzalesJonathan J HennKristýna HoškováAnders IsaksenLaura H JessupWill JohnsonErik KuschKai LepleyMackenzie LiftTrace E MartynMiguel Muñoz MazonSara L MiddletonNatalia L Quinteros CasaverdeJocelyn NavarroVerónica ZepedaKorina Ocampo-ZuletaAndrea Carmeli Palomino-CardenasSamuel Pastor-PloskonkaMaria Elisa PierfedericiVerónica PinelliJess RickenbackRuben E RoosHilde Stokland RuiEugenia Sanchez DiazAndrea Sánchez-TapiaAlyssa SmithErickson Urquiaga-FloresJonathan von OppenBrian J Enquist
Published in: Scientific data (2024)
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.
Keyphrases
  • climate change
  • genome wide
  • electronic health record
  • big data
  • human health
  • healthcare
  • gene expression
  • machine learning
  • data analysis
  • optical coherence tomography
  • wastewater treatment