Articles | Volume 15, issue 12
https://doi.org/10.5194/gmd-15-4913-2022
https://doi.org/10.5194/gmd-15-4913-2022
Model evaluation paper
 | 
27 Jun 2022
Model evaluation paper |  | 27 Jun 2022

Tree migration in the dynamic, global vegetation model LPJ-GM 1.1: efficient uncertainty assessment and improved dispersal kernels of European trees

Deborah Zani, Veiko Lehsten, and Heike Lischke

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Cited articles

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Alexander, J. M., Chalmandrier, L., Lenoir, J., Burgess, T. I., Essl, F., Haider, S., Kueffer, C., McDougall, K., Nuñez, M. A., Pauchard, A., Rabitsch, W., Rew, L. J., Sanders, N. J., and Pellissier, L.: Lags in the response of mountain plant communities to climate change, Glob. Change Biol., 24, 563–579, https://doi.org/10.1111/gcb.13976, 2018. 
Armstrong, E., Hopcroft, P. O., and Valdes, P. J.: A simulated Northern Hemisphere terrestrial climate dataset for the past 60,000 years, Sci Data, 6, 1–16, https://doi.org/10.1038/s41597-019-0277-1, 2019. 
Baskin, C. C. and Baskin, J. M. Seeds: ecology, biogeography, and, evolution of dormancy and germination, Elsevier, https://doi.org/10.1016/B978-0-12-080260-9.X5000-3, 1998. 
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Short summary
The prediction of species migration under rapid climate change remains uncertain. In this paper, we evaluate the importance of the mechanisms underlying plant migration and increase the performance in the dynamic global vegetation model LPJ-GM 1.0. The improved model will allow us to understand past vegetation dynamics and predict the future redistribution of species in a context of global change.
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