Articles | Volume 9, issue 11
https://doi.org/10.5194/gmd-9-4169-2016
https://doi.org/10.5194/gmd-9-4169-2016
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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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Anna Wenzel on behalf of the Authors (03 Nov 2016)  Author's response
ED: Publish subject to technical corrections (04 Nov 2016) by Carlos Sierra
AR by Aleksi Lehtonen on behalf of the Authors (08 Nov 2016)  Author's response    Manuscript
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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.