Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 7
Articles | Volume 17, issue 7
https://doi.org/10.5194/gmd-17-2727-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-2727-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 7
Methods for assessment of models
 | 
12 Apr 2024
Methods for assessment of models |  | 12 Apr 2024

Inferring the tree regeneration niche from inventory data using a dynamic forest model

Yannek Käber, Florian Hartig, and Harald Bugmann

Data sets

Supplementary material for Käber et al. "Inferring the regeneration niche from forest inventory data using a dynamic forest model". In Geoscientific Model Development (1.0) Yannek Käber et al. https://doi.org/10.5281/zenodo.8334091

Model code and software

Supplementary material for Käber et al. "Inferring the regeneration niche from forest inventory data using a dynamic forest model". In Geoscientific Model Development (1.0) Yannek Käber et al. https://doi.org/10.5281/zenodo.8334091

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Short summary
Many forest models include detailed mechanisms of forest growth and mortality, but regeneration is often simplified. Testing and improving forest regeneration models is challenging. We address this issue by exploring how forest inventories from unmanaged European forests can be used to improve such models. We find that competition for light among trees is captured by the model, unknown model components can be informed by forest inventory data, and climatic effects are challenging to capture.
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