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  • Representativeness assessme...
    Pallandt, Martijn M. T. A; Kumar, Jitendra; Mauritz, Marguerite; Schuur, Edward A. G; Virkkala, Anna-Maria; Celis, Gerardo; Hoffman, Forrest M; Göckede, Mathias

    Biogeosciences, 02/2022, Letnik: 19, Številka: 3
    Journal Article

    Large changes in the Arctic carbon balance are expected as warming linked to climate change threatens to destabilize ancient permafrost carbon stocks. The eddy covariance (EC) method is an established technique to quantify net losses and gains of carbon between the biosphere and atmosphere at high spatiotemporal resolution. Over the past decades, a growing network of terrestrial EC tower sites has been established across the Arctic, but a comprehensive assessment of the network's representativeness within the heterogeneous Arctic region is still lacking. This creates additional uncertainties when integrating flux data across sites, for example when upscaling fluxes to constrain pan-Arctic carbon budgets and changes therein.