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Vegetation type is an important predictor of the arctic summer land surface energy budget

Author

Listed:
  • Jacqueline Oehri

    (University of Zurich
    McGill University)

  • Gabriela Schaepman-Strub

    (University of Zurich)

  • Jin-Soo Kim

    (University of Zurich
    Tat Chee Ave, Kowloon Tong)

  • Raleigh Grysko

    (University of Zurich)

  • Heather Kropp

    (Hamilton College)

  • Inge Grünberg

    (Alfred-Wegener Institute)

  • Vitalii Zemlianskii

    (University of Zurich)

  • Oliver Sonnentag

    (Université de Montréal)

  • Eugénie S. Euskirchen

    (University of Alaska Fairbanks)

  • Merin Reji Chacko

    (University of Zurich
    CHN, Universitätstrasse 16
    Swiss Federal Institute for Forest, Snow and Landscape Research (WSL))

  • Giovanni Muscari

    (Via di Vigna Murata)

  • Peter D. Blanken

    (University of Colorado)

  • Joshua F. Dean

    (University of Bristol)

  • Alcide Sarra

    (ENEA)

  • Richard J. Harding

    (MacLean Bldg)

  • Ireneusz Sobota

    (Nicolaus Copernicus University)

  • Lars Kutzbach

    (University of Hamburg)

  • Elena Plekhanova

    (University of Zurich)

  • Aku Riihelä

    (Erik Palménin aukio 1)

  • Julia Boike

    (Alfred-Wegener Institute
    Humboldt-Universität zu Berlin)

  • Nathaniel B. Miller

    (University of Wisconsin-Madison)

  • Jason Beringer

    (The University of Western Australia)

  • Efrén López-Blanco

    (Greenland Institute of Natural Resources, Kivioq 2
    Aarhus University)

  • Paul C. Stoy

    (University of Wisconsin-Madison)

  • Ryan C. Sullivan

    (Argonne National Laboratory)

  • Marek Kejna

    (Nicolaus Copernicus University)

  • Frans-Jan W. Parmentier

    (University of Oslo
    Lund University)

  • John A. Gamon

    (University of Nebraska - Lincoln)

  • Mikhail Mastepanov

    (Aarhus University
    Oulanka Research Station, University of Oulu)

  • Christian Wille

    (Wissenschaftspark Albert Einstein)

  • Marcin Jackowicz-Korczynski

    (Aarhus University
    Lund University)

  • Dirk N. Karger

    (Snow, and Landscape Research (WSL), Zürcherstrasse 111)

  • William L. Quinton

    (Wilfrid Laurier University)

  • Jaakko Putkonen

    (University of North Dakota)

  • Dirk As

    (Geological Survey of Denmark and Greenland (GEUS))

  • Torben R. Christensen

    (Aarhus University
    Oulanka Research Station, University of Oulu)

  • Maria Z. Hakuba

    (Jet Propulsion Laboratory, CalTech)

  • Robert S. Stone

    (NOAA Global Monitoring Laboratory)

  • Stefan Metzger

    (National Ecological Observatory Network, Battelle
    University of Wisconsin-Madison)

  • Baptiste Vandecrux

    (Geological Survey of Denmark and Greenland (GEUS))

  • Gerald V. Frost

    (Alaska Biological Research, Inc)

  • Martin Wild

    (ETH Zurich, CHN)

  • Birger Hansen

    (University of Copenhagen)

  • Daniela Meloni

    (Lungotevere Grande Ammiraglio Thaon di Revel, 76)

  • Florent Domine

    (Université Laval, Pavillon Alexandre-Vachon
    Université Laval, Pavillon Alexandre-Vachon)

  • Mariska Beest

    (Utrecht University, Vening Meinesz Building
    University Way, Summerstrand, Gqeberha)

  • Torsten Sachs

    (Wissenschaftspark Albert Einstein)

  • Aram Kalhori

    (Wissenschaftspark Albert Einstein)

  • Adrian V. Rocha

    (University of Notre Dame, 100 Galvin Life Sciences)

  • Scott N. Williamson

    (Canadian High Arctic Research Station)

  • Sara Morris

    (NOAA Physical Sciences Laboratory)

  • Adam L. Atchley

    (Los Alamos National Laboratory)

  • Richard Essery

    (University of Edinburgh)

  • Benjamin R. K. Runkle

    (University of Arkansas)

  • David Holl

    (University of Hamburg)

  • Laura D. Riihimaki

    (NOAA Global Monitoring Laboratory
    University of Colorado Boulder Campus)

  • Hiroki Iwata

    (Shinshu University)

  • Edward A. G. Schuur

    (Northern Arizona University)

  • Christopher J. Cox

    (NOAA Physical Sciences Laboratory)

  • Andrey A. Grachev

    (DEVCOM Army Research Laboratory)

  • Joseph P. McFadden

    (University of California Santa Barbara)

  • Robert S. Fausto

    (Geological Survey of Denmark and Greenland (GEUS))

  • Mathias Göckede

    (Max Planck Institute for Biogeochemistry)

  • Masahito Ueyama

    (Osaka Metropolitan University, Sakai, Kita Ward, Umeda)

  • Norbert Pirk

    (University of Oslo)

  • Gijs Boer

    (NOAA Physical Sciences Laboratory
    University of Colorado Boulder Campus
    University of Colorado)

  • M. Syndonia Bret-Harte

    (University of Alaska Fairbanks)

  • Matti Leppäranta

    (University of Helsinki)

  • Konrad Steffen

    (Snow, and Landscape Research (WSL), Zürcherstrasse 111)

  • Thomas Friborg

    (University of Copenhagen)

  • Atsumu Ohmura

    (ETH Zurich, CHN)

  • Colin W. Edgar

    (University of Alaska Fairbanks)

  • Johan Olofsson

    (Umeå University)

  • Scott D. Chambers

    (ANSTO Lucas Heights, New Illawarra Rd)

Abstract

Despite the importance of high-latitude surface energy budgets (SEBs) for land-climate interactions in the rapidly changing Arctic, uncertainties in their prediction persist. Here, we harmonize SEB observations across a network of vegetated and glaciated sites at circumpolar scale (1994–2021). Our variance-partitioning analysis identifies vegetation type as an important predictor for SEB-components during Arctic summer (June-August), compared to other SEB-drivers including climate, latitude and permafrost characteristics. Differences among vegetation types can be of similar magnitude as between vegetation and glacier surfaces and are especially high for summer sensible and latent heat fluxes. The timing of SEB-flux summer-regimes (when daily mean values exceed 0 Wm−2) relative to snow-free and -onset dates varies substantially depending on vegetation type, implying vegetation controls on snow-cover and SEB-flux seasonality. Our results indicate complex shifts in surface energy fluxes with land-cover transitions and a lengthening summer season, and highlight the potential for improving future Earth system models via a refined representation of Arctic vegetation types.

Suggested Citation

  • Jacqueline Oehri & Gabriela Schaepman-Strub & Jin-Soo Kim & Raleigh Grysko & Heather Kropp & Inge Grünberg & Vitalii Zemlianskii & Oliver Sonnentag & Eugénie S. Euskirchen & Merin Reji Chacko & Giovan, 2022. "Vegetation type is an important predictor of the arctic summer land surface energy budget," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-34049-3
    DOI: 10.1038/s41467-022-34049-3
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    1. Efrén López-Blanco & Elmer Topp-Jørgensen & Torben R. Christensen & Morten Rasch & Henrik Skov & Marie F. Arndal & M. Syndonia Bret-Harte & Terry V. Callaghan & Niels M. Schmidt, 2024. "Towards an increasingly biased view on Arctic change," Nature Climate Change, Nature, vol. 14(2), pages 152-155, February.

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