Articles | Volume 15, issue 16
https://doi.org/10.5194/gmd-15-6495-2022
https://doi.org/10.5194/gmd-15-6495-2022
Model evaluation paper
 | 
30 Aug 2022
Model evaluation paper |  | 30 Aug 2022

Climate and parameter sensitivity and induced uncertainties in carbon stock projections for European forests (using LPJ-GUESS 4.0)

Johannes Oberpriller, Christine Herschlein, Peter Anthoni, Almut Arneth, Andreas Krause, Anja Rammig, Mats Lindeskog, Stefan Olin, and Florian Hartig

Data sets

Parameters and model results for sensitivity and uncertainty analysis of LPJ-GUESS Johannes Oberpriller, Peter Anthoni, Christine Herschlein, Almut Arneth, Andreas Krause, Anja Rammig, and Florian Hartig https://doi.org/10.5281/zenodo.4670295

Model code and software

JohannesOberpriller/SensitivityAnalysisLPJ: Release for revision (v1.0.1) Johannes Oberpriller https://doi.org/10.5281/zenodo.5873672

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Short summary
Understanding uncertainties of projected ecosystem dynamics under environmental change is of immense value for research and climate change policy. Here, we analyzed these across European forests. We find that uncertainties are dominantly induced by parameters related to water, mortality, and climate, with an increasing importance of climate from north to south. These results highlight that climate not only contributes uncertainty but also modifies uncertainties in other ecosystem processes.