Articles | Volume 9, issue 11
Model evaluation paper
22 Nov 2016
Model evaluation paper |  | 22 Nov 2016

Forest soil carbon stock estimates in a nationwide inventory: evaluating performance of the ROMULv and Yasso07 models in Finland

Aleksi Lehtonen, Tapio Linkosalo, Mikko Peltoniemi, Risto Sievänen, Raisa Mäkipää, Pekka Tamminen, Maija Salemaa, Tiina Nieminen, Boris Ťupek, Juha Heikkinen, and Alexander Komarov

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Cited articles

Bivand, R. S., Pebesma, E. J., Gomez-Rubio, V., and Pebesma, E. J.: Applied spatial data analysis with R, Springer, New York, USA, 2008.
Chertov, O. G., Komarov, A. S., Nadporozhskaya, M., Bykhovets, S. S., and Zudin, S. L.: ROMUL – a model of forest soil organic matter dynamics as a substantial tool for forest ecosystem modeling, Ecol. Model., 138, 289–308,, 2001.
Dalsgaard, L., Astrup, R., Anton-Fernandez, C., Borgen, S. K., Breidenbach, J., Lange, H., Lehtonen, A., and Liski, J.: Modeling soil carbon dynamics in northern forests: effects of spatial and temporal aggregation of climatic input data, PloS one, 11, e0149902,, 2016.
Derome, J., Lindroos, A., and Kilponen, T.: Scientific Seminar on Forest Condition Monitoring and Ecosystem Functioning in Northern Europe under the Forest Focus and ICP Forests Programmes, Finnish Forest Research Institute, Vantaa, Finland, 2007.
Eronen, M.: The history of the Litorina Sea and associated Holocene events, Soc. Scient. Fenn. Comm. Phys.-Math., 44, 79–195, 1974.
Short summary
It is known that Earth system models have challenges to predict correct levels of soil carbon stocks. Quantification of those stocks is a prerequisite for reliable prediction of future carbon exchange between biosphere and atmosphere. Here, we tested Yasso07 and ROMULv soil carbon models against empirical data from Finland. We found that both the role of understorey vegetation and the impact of drought to decomposition should be incorporated into soil models to have realistic soil carbon stocks.