Articles | Volume 16, issue 2
https://doi.org/10.5194/bg-16-255-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-16-255-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Interpreting eddy covariance data from heterogeneous Siberian tundra: land-cover-specific methane fluxes and spatial representativeness
Juha-Pekka Tuovinen
CORRESPONDING AUTHOR
Finnish Meteorological Institute, Climate System Research, P.O. Box 503, Helsinki, Finland
Mika Aurela
Finnish Meteorological Institute, Climate System Research, P.O. Box 503, Helsinki, Finland
Juha Hatakka
Finnish Meteorological Institute, Climate System Research, P.O. Box 503, Helsinki, Finland
Aleksi Räsänen
Ecosystems and Environment Research Programme, Faculty of Biological and Environmental Sciences and Helsinki Institute of Sustainability Science (HELSUS), P.O. Box 65, Helsinki, Finland
Department of Geography, Norwegian University of Science and Technology, Trondheim, Norway
Tarmo Virtanen
Ecosystems and Environment Research Programme, Faculty of Biological and Environmental Sciences and Helsinki Institute of Sustainability Science (HELSUS), P.O. Box 65, Helsinki, Finland
Juha Mikola
Ecosystems and Environment Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Niemenkatu 73, Lahti, Finland
Viktor Ivakhov
Voeikov Main Geophysical Observatory, St. Petersburg, Russia
Vladimir Kondratyev
Yakutian Service for Hydrometeorology and Environmental Monitoring, Tiksi, Russia
Tuomas Laurila
Finnish Meteorological Institute, Climate System Research, P.O. Box 503, Helsinki, Finland
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Latest update: 20 Nov 2024
Short summary
We analysed ecosystem-scale measurements of methane exchange between Arctic tundra and the atmosphere, taking into account the large variations in vegetation and soil properties. The measurements are spatial averages, but using meteorological and statistical modelling techniques we could estimate methane emissions for different land cover types and quantify how well the measurements correspond to the spatial variability. This provides a more accurate estimate of the regional methane emission.
We analysed ecosystem-scale measurements of methane exchange between Arctic tundra and the...
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