Articles | Volume 17, issue 7
https://doi.org/10.5194/gmd-17-2727-2024
https://doi.org/10.5194/gmd-17-2727-2024
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

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Cited articles

Andivia, E., Madrigal-González, J., Villar-Salvador, P., and Zavala, M. A.: Do adult trees increase conspecific juvenile resilience to recurrent droughts? Implications for forest regeneration, Ecosphere, 9, e02282, https://doi.org/10.1002/ecs2.2282, 2018. 
Augustynczik, A. L. D., Hartig, F., Minunno, F., Kahle, H.-P., Diaconu, D., Hanewinkel, M., and Yousefpour, R.: Productivity of Fagus sylvatica under climate change – A Bayesian analysis of risk and uncertainty using the model 3-PG, Forest Ecol. Manag., 401, 192–206, https://doi.org/10.1016/J.FORECO.2017.06.061, 2017. 
Botkin, D. B., Janak, J. F., and Wallis, J. R.: Some Ecological Consequences of a Computer Model of Forest Growth, J. Ecol., 60, 849–849, https://doi.org/10.2307/2258570, 1972. 
Bröcker, J. and Smith, L. A.: Scoring Probabilistic Forecasts: The Importance of Being Proper, Weather Forecast., 22, 382–388, https://doi.org/10.1175/WAF966.1, 2007. 
Brooks, M. E., Kristensen, K., Benthem, K. J. van, Magnusson, A., Berg, C. W., Nielsen, A., Skaug, H. J., Maechler, M., and Bolker, B. M.: glmmTMB Balances Speed and Flexibility Among Packages for Zero-inflated Generalized Linear Mixed Modeling, R J., 9, 378–400, 2017. 
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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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