28 citations as recorded by crossref.

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12. Simulating Carbon Stocks and Fluxes of an African Tropical Montane Forest with an Individual-Based Forest Model R. Fischer et al. 10.1371/journal.pone.0123300
13. From theory to practice in pattern‐oriented modelling: identifying and using empirical patterns in predictive models C. Gallagher et al. 10.1111/brv.12729
14. Assessing the response of forest productivity to climate extremes in Switzerland using model–data fusion V. Trotsiuk et al. 10.1111/gcb.15011
15. Bayesian calibration of a growth‐dependent tree mortality model to simulate the dynamics of European temperate forests M. Cailleret et al. 10.1002/eap.2021
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20. Paleorecords Reveal Biological Mechanisms Crucial for Reliable Species Range Shift Projections Amid Rapid Climate Change V. Van der Meersch et al. 10.1111/ele.70080
21. Which demographic processes control competitive equilibria? Bayesian calibration of a size‐structured forest population model L. Heiland et al. 10.1002/ece3.10232
22. Productivity of Fagus sylvatica under climate change – A Bayesian analysis of risk and uncertainty using the model 3-PG A. Augustynczik et al. 10.1016/j.foreco.2017.06.061
23. Tackling unresolved questions in forest ecology: The past and future role of simulation models I. Maréchaux et al. 10.1002/ece3.7391
24. Predicting how many animals will be where: How to build, calibrate and evaluate individual-based models E. van der Vaart et al. 10.1016/j.ecolmodel.2015.08.012
25. Approximate Bayesian computation to recalibrate individual-based models with population data: Illustration with a forest simulation model G. Lagarrigues et al. 10.1016/j.ecolmodel.2014.09.023
26. Global warming likely to enhance black locust (Robinia pseudoacacia L.) growth in a Mediterranean riparian forest D. Nadal-Sala et al. 10.1016/j.foreco.2019.117448
27. Bayesian parameter inference for individual-based models using a Particle Markov Chain Monte Carlo method M. Kattwinkel & P. Reichert 10.1016/j.envsoft.2016.11.001
28. Fast calibration of a dynamic vegetation model with minimum observation data S. Lehmann & A. Huth 10.1016/j.ecolmodel.2015.01.013