Articles | Volume 17, issue 3
https://doi.org/10.5194/gmd-17-1349-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-1349-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
15 Feb 2024
Model evaluation paper |
| 15 Feb 2024
| 15 Feb 2024
Evaluation and optimisation of the soil carbon turnover routine in the MONICA model (version 3.3.1)
Konstantin Aiteew
CORRESPONDING AUTHOR
Thünen Institute of Climate-Smart Agriculture, Bundesallee 68, Braunschweig, Germany
Jarno Rouhiainen
Thünen Institute of Climate-Smart Agriculture, Bundesallee 68, Braunschweig, Germany
Claas Nendel
Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Straße 84, Müncheberg, Germany
Institute of Biochemistry and Biology, University of Potsdam, Am Mühlenberg 3, Potsdam, Germany
René Dechow
Thünen Institute of Climate-Smart Agriculture, Bundesallee 68, Braunschweig, Germany
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Most studies assume no difference between transit times of water and nitrate, because nitrate is transported by water. With an 8-year high-frequency dataset of isotopic signatures of both, water and nitrate, and a transit time model, we show the temporal varying difference of nitrate and water transit times. This finding is highly relevant for applied future research related to nutrient dynamics in landscapes under anthropogenic forcing and for managing impacts of nitrate on aquatic ecosystems.
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Extreme gradient boosting (XGBoost) can provide alternative insights that conventional land-use models are unable to generate. Shapley additive explanations (SHAP) can interpret the results of the purely data-driven approach. XGBoost achieved similar and robust simulation results. SHAP values were useful for analysing the complex relationship between the different drivers of grassland degradation.
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Short summary
This study evaluated the biogeochemical model MONICA and its performance in simulating soil organic carbon changes. MONICA can reproduce plant growth, carbon and nitrogen dynamics, soil water and temperature. The model results were compared with five established carbon turnover models. With the exception of certain sites, adequate reproduction of soil organic carbon stock change rates was achieved. The MONICA model was capable of performing similar to or even better than the other models.
This study evaluated the biogeochemical model MONICA and its performance in simulating soil...
