Articles | Volume 12, issue 3
https://doi.org/10.5194/gmd-12-893-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-893-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
08 Mar 2019
Model description paper |
| 08 Mar 2019
| 08 Mar 2019
LPJ-GM 1.0: simulating migration efficiently in a dynamic vegetation model
Dynamic Macroecology/Land Change Science, Swiss Federal Institute for
Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland
Department of Physical Geography and Ecosystem Science, Lund
University, Lund, Sweden
Michael Mischurow
Department of Physical Geography and Ecosystem Science, Lund
University, Lund, Sweden
Erik Lindström
Centre for Mathematical Sciences, Department for Mathematics Lund
University, Lund, Sweden
Dörte Lehsten
Department of Physical Geography and Ecosystem Science, Lund
University, Lund, Sweden
Heike Lischke
Dynamic Macroecology/Land Change Science, Swiss Federal Institute for
Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland
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Cited
20 citations as recorded by crossref.
- Understanding the uncertainty in global forest carbon turnover T. Pugh et al. 10.5194/bg-17-3961-2020
- Tree migration in the dynamic, global vegetation model LPJ-GM 1.1: efficient uncertainty assessment and improved dispersal kernels of European trees D. Zani et al. 10.5194/gmd-15-4913-2022
- Transient Propagation of the Invasion Front in the Homogeneous Landscape and in the Presence of a Road B. Deeley & N. Petrovskaya 10.1007/s11538-024-01302-3
- Pervasive shifts in forest dynamics in a changing world N. McDowell et al. 10.1126/science.aaz9463
- Tackling unresolved questions in forest ecology: The past and future role of simulation models I. Maréchaux et al. 10.1002/ece3.7391
- Scaling methods in ecological modelling M. Fritsch et al. 10.1111/2041-210X.13466
- Modelling vegetation dynamics for future climates in Australian catchments: Comparison of a conceptual eco-hydrological modelling approach with a deep learning alternative H. Zou et al. 10.1016/j.envsoft.2024.106179
- Projecting the future vegetation–climate system over East Asia and its RCP-dependence W. Liu et al. 10.1007/s00382-020-05411-2
- Forest regeneration within Earth system models: current process representations and ways forward A. Hanbury‐Brown et al. 10.1111/nph.18131
- Tree regeneration in models of forest dynamics: A key priority for further research O. Díaz‐Yáñez et al. 10.1002/ecs2.4807
- Novel coupled permafrost–forest model (LAVESI–CryoGrid v1.0) revealing the interplay between permafrost, vegetation, and climate across eastern Siberia S. Kruse et al. 10.5194/gmd-15-2395-2022
- Projected future climatic forcing on the global distribution of vegetation types B. Allen et al. 10.1098/rstb.2023.0011
- Climate and dispersal limitation drive tree species range shifts in post-glacial Europe: results from dynamic simulations D. Zani et al. 10.3389/fevo.2023.1321104
- Paying colonization credit with forest management could accelerate the range shift of temperate trees under climate change W. Vieira et al. 10.1016/j.ecolmodel.2024.110813
- Advancing an interdisciplinary framework to study seed dispersal ecology N. Beckman et al. 10.1093/aobpla/plz048
- 植被模型研究进展与展望 思. 李 et al. 10.1360/SSTe-2023-0204
- South American mountain ecosystems and global change – a case study for integrating theory and field observations for land surface modelling and ecosystem management L. Nagy et al. 10.1080/17550874.2023.2196966
- Progress of vegetation modelling and future research prospects S. Li et al. 10.1007/s11430-023-1367-1
- Did the Bronze Age deforestation of Europe affect its climate? A regional climate model study using pollen-based land cover reconstructions G. Strandberg et al. 10.5194/cp-19-1507-2023
- Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: LAVESI-WIND 1.0 S. Kruse et al. 10.5194/gmd-11-4451-2018
19 citations as recorded by crossref.
- Understanding the uncertainty in global forest carbon turnover T. Pugh et al. 10.5194/bg-17-3961-2020
- Tree migration in the dynamic, global vegetation model LPJ-GM 1.1: efficient uncertainty assessment and improved dispersal kernels of European trees D. Zani et al. 10.5194/gmd-15-4913-2022
- Transient Propagation of the Invasion Front in the Homogeneous Landscape and in the Presence of a Road B. Deeley & N. Petrovskaya 10.1007/s11538-024-01302-3
- Pervasive shifts in forest dynamics in a changing world N. McDowell et al. 10.1126/science.aaz9463
- Tackling unresolved questions in forest ecology: The past and future role of simulation models I. Maréchaux et al. 10.1002/ece3.7391
- Scaling methods in ecological modelling M. Fritsch et al. 10.1111/2041-210X.13466
- Modelling vegetation dynamics for future climates in Australian catchments: Comparison of a conceptual eco-hydrological modelling approach with a deep learning alternative H. Zou et al. 10.1016/j.envsoft.2024.106179
- Projecting the future vegetation–climate system over East Asia and its RCP-dependence W. Liu et al. 10.1007/s00382-020-05411-2
- Forest regeneration within Earth system models: current process representations and ways forward A. Hanbury‐Brown et al. 10.1111/nph.18131
- Tree regeneration in models of forest dynamics: A key priority for further research O. Díaz‐Yáñez et al. 10.1002/ecs2.4807
- Novel coupled permafrost–forest model (LAVESI–CryoGrid v1.0) revealing the interplay between permafrost, vegetation, and climate across eastern Siberia S. Kruse et al. 10.5194/gmd-15-2395-2022
- Projected future climatic forcing on the global distribution of vegetation types B. Allen et al. 10.1098/rstb.2023.0011
- Climate and dispersal limitation drive tree species range shifts in post-glacial Europe: results from dynamic simulations D. Zani et al. 10.3389/fevo.2023.1321104
- Paying colonization credit with forest management could accelerate the range shift of temperate trees under climate change W. Vieira et al. 10.1016/j.ecolmodel.2024.110813
- Advancing an interdisciplinary framework to study seed dispersal ecology N. Beckman et al. 10.1093/aobpla/plz048
- 植被模型研究进展与展望 思. 李 et al. 10.1360/SSTe-2023-0204
- South American mountain ecosystems and global change – a case study for integrating theory and field observations for land surface modelling and ecosystem management L. Nagy et al. 10.1080/17550874.2023.2196966
- Progress of vegetation modelling and future research prospects S. Li et al. 10.1007/s11430-023-1367-1
- Did the Bronze Age deforestation of Europe affect its climate? A regional climate model study using pollen-based land cover reconstructions G. Strandberg et al. 10.5194/cp-19-1507-2023
Latest update: 14 Dec 2024
Short summary
To assess the effect of climate on vegetation, dynamic vegetation models simulate their response e.g. to climate change. Most currently used dynamic vegetation models ignore the fact that for colonization of a new area not only do the climatic conditions have to be suitable, but seeds also need to arrive at the site to allow the species to migrate there. In this paper we are developing a novel method which allows us to simulate migration within dynamic vegetation models even at large scale.
To assess the effect of climate on vegetation, dynamic vegetation models simulate their response...
