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

Zani, Deborah; Lehsten, Veiko; Lischke, Heike

doi:https://doi.org/10.5194/gmd-15-4913-2022

Articles | Volume 15, issue 12

https://doi.org/10.5194/gmd-15-4913-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-15-4913-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 12

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

Supplement

https://doi.org/10.5194/gmd-15-4913-2022-supplement

Data sets

Input climate and landscape data Deborah Zani https://doi.org/10.18161/20211127

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.