Authors: Virkkala, Anna‐Maria; Aalto, Juha; Rogers, Brendan M.; Tagesson, Torbern; Treat, Claire C.; Natali, Susan M.; Watts, Jennifer D.; Potter, Stefano; Lehtonen, Aleksi; Mauritz, Marguerite; Schuur, Edward A.G.; Kochendorfer, John; Zona, Donatella; Oechel, Walter; Kobayashi, Hideki; Humphreys, Elyn; Goeckede, Mathias; Iwata, Hiroki; Lafleur, Peter M.; Euskirchen, Eugenie S.; Bokhorst, Stef; Marushchak, Maija; Martikainen, Pertti J.; Elberling, Bo; Voigt, Carolina; Biasi, Christina; Sonnentag, Oliver; Parmentier, Frans‐Jan W.; Ueyama, Masahito; Celis, Gerardo; St.Loius, Vincent L.; Emmerton, Craig A.; Peichl, Matthias; Chi, Jinshu; Järveoja, Järvi; Nilsson, Mats.B.; Oberbauer, Steven F.; Torn, Margaret S.; Park, Sang‐Jong; Dolman, Han; Mammarella, Ivan; Chae, Namyi; Poyatos, Rafael; López‐Blanco, Efrén; Røjle Christensen, Torben; Jung Kwon, Min; Sachs, Torsten; Holl, David; Luoto; Miska

Venue: Global Change Biology

Type: Publication

Abstract: AbstractThe regional variability in tundra and boreal carbon dioxide (CO2) fluxes can be high, complicating efforts to quantify sink‐source patterns across the entire region. Statistical models are increasingly used to predict (i.e., upscale) CO2 fluxes across large spatial domains, but the reliability of different modeling techniques, each with different specifications and assumptions, has not been assessed in detail. Here, we compile eddy covariance and chamber measurements of annual and growing season CO2 fluxes of gross primary productivi... (read more)

Impact:   1.0484678E-7    5.863389E-9    137    107  / Attention: 0 44

Reproducibility readiness: D

DOI: 10.1111/gcb.15659