Articles | Volume 19, issue 17
https://doi.org/10.5194/bg-19-4305-2022
© Author(s) 2022. 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-19-4305-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Implementation and initial calibration of carbon-13 soil organic matter decomposition in the Yasso model
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
Laura Arppe
Finnish Museum of Natural History (LUOMUS), University of Helsinki, P.O. Box 64, 00014 Helsinki, Finland
Hannu Fritze
Natural Resources Institute Finland, P.O. Box 18, 01301, Vantaa, Finland
Jussi Heinonsalo
Department of Microbiology and Institute for Atmospheric and Earth System Research (INAR), Faculty of Agriculture and Forestry, University of Helsinki, P.O. Box 56, 00014 Helsinki, Finland
Kristiina Karhu
Department of Forest Sciences, Faculty of Agriculture and Forestry, University of Helsinki, P.O. Box 56, 00014 Helsinki, Finland
Jari Liski
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
Markku Oinonen
Finnish Museum of Natural History (LUOMUS), University of Helsinki, P.O. Box 64, 00014 Helsinki, Finland
Petra Straková
Natural Resources Institute Finland, P.O. Box 2, 00791 Helsinki, Finland
Toni Viskari
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
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Short summary
Soils account for the largest share of carbon found in terrestrial ecosystems, and accurate depiction of soil carbon decomposition is essential in understanding how permanent these carbon storages are. We present a straightforward way to include carbon isotope concentrations into soil decomposition and carbon storages for the Yasso model, which enables the model to use 13C as a natural tracer to track changes in the underlying soil organic matter decomposition.
Soils account for the largest share of carbon found in terrestrial ecosystems, and accurate...
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