Articles | Volume 11, issue 11
https://doi.org/10.5194/gmd-11-4451-2018
© Author(s) 2018. 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-11-4451-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
05 Nov 2018
Development and technical paper |
| 05 Nov 2018
| 05 Nov 2018
Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: LAVESI-WIND 1.0
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und
Meeresforschung, Research Unit Potsdam, Telegrafenberg A43, 14473 Potsdam,
Germany
Alexander Gerdes
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und
Meeresforschung, Research Unit Potsdam, Telegrafenberg A43, 14473 Potsdam,
Germany
Institute of Physics and Astronomy, University of Potsdam, 14476
Potsdam, Germany
Nadja J. Kath
Institute of Biology and Biochemistry, University of Potsdam, 14476
Potsdam, Germany
Ulrike Herzschuh
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und
Meeresforschung, Research Unit Potsdam, Telegrafenberg A43, 14473 Potsdam,
Germany
Institute of Biology and Biochemistry, University of Potsdam, 14476
Potsdam, Germany
Institute of Earth and Environmental Science, University of Potsdam,
14476 Potsdam, Germany
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Cited
16 citations as recorded by crossref.
- Concentration Trajectory Route of Air pollution with an Integrated Lagrangian model (C-TRAIL Model v1.0) derived from the Community Multiscale Air Quality Model (CMAQ Model v5.2) A. Pouyaei et al. 10.5194/gmd-13-3489-2020
- A Guided Tour of the Soil Seed Banks A. Hambuckers 10.1134/S1995425524010050
- Seed Dispersal Models for Natural Regeneration: A Review and Prospects M. Kim et al. 10.3390/f13050659
- Simulating long-term wildfire impacts on boreal forest structure in Central Yakutia, Siberia, since the Last Glacial Maximum R. Glückler et al. 10.1186/s42408-023-00238-8
- Treeline Research—From the Roots of the Past to Present Time. A Review F. Holtmeier & G. Broll 10.3390/f11010038
- A Guided Tour of the Soil Seed Banks A. Hambuckers 10.1134/S1995425523060100
- Dispersal distances and migration rates at the arctic treeline in Siberia – a genetic and simulation-based study S. Kruse et al. 10.5194/bg-16-1211-2019
- Thermohydrological Impact of Forest Disturbances on Ecosystem‐Protected Permafrost S. Stuenzi et al. 10.1029/2021JG006630
- Evolutionary adaptation of trees and modelled future larch forest extent in Siberia J. Gloy et al. 10.1016/j.ecolmodel.2023.110278
- LPJ-GM 1.0: simulating migration efficiently in a dynamic vegetation model V. Lehsten et al. 10.5194/gmd-12-893-2019
- The bioclimatic extent and pattern of the cold edge of the boreal forest: the circumpolar taiga-tundra ecotone P. Montesano et al. 10.1088/1748-9326/abb2c7
- Tundra conservation challenged by forest expansion in a complex mountainous treeline ecotone as revealed by spatially explicit tree aboveground biomass modeling S. Kruse et al. 10.1080/15230430.2023.2220208
- 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
- Overcoming conceptual hurdles to accurately represent trees as cohorts in forest landscape models E. Gustafson et al. 10.1016/j.ecolmodel.2024.110657
- Legacy of the Last Glacial on the present‐day distribution of deciduous versus evergreen boreal forests U. Herzschuh & G. Jordan 10.1111/geb.13018
- Terminal velocities and falling patterns correlate with morphology of diaspores in wind-dispersed forestry species S. Lee et al. 10.1007/s00468-022-02334-9
16 citations as recorded by crossref.
- Concentration Trajectory Route of Air pollution with an Integrated Lagrangian model (C-TRAIL Model v1.0) derived from the Community Multiscale Air Quality Model (CMAQ Model v5.2) A. Pouyaei et al. 10.5194/gmd-13-3489-2020
- A Guided Tour of the Soil Seed Banks A. Hambuckers 10.1134/S1995425524010050
- Seed Dispersal Models for Natural Regeneration: A Review and Prospects M. Kim et al. 10.3390/f13050659
- Simulating long-term wildfire impacts on boreal forest structure in Central Yakutia, Siberia, since the Last Glacial Maximum R. Glückler et al. 10.1186/s42408-023-00238-8
- Treeline Research—From the Roots of the Past to Present Time. A Review F. Holtmeier & G. Broll 10.3390/f11010038
- A Guided Tour of the Soil Seed Banks A. Hambuckers 10.1134/S1995425523060100
- Dispersal distances and migration rates at the arctic treeline in Siberia – a genetic and simulation-based study S. Kruse et al. 10.5194/bg-16-1211-2019
- Thermohydrological Impact of Forest Disturbances on Ecosystem‐Protected Permafrost S. Stuenzi et al. 10.1029/2021JG006630
- Evolutionary adaptation of trees and modelled future larch forest extent in Siberia J. Gloy et al. 10.1016/j.ecolmodel.2023.110278
- LPJ-GM 1.0: simulating migration efficiently in a dynamic vegetation model V. Lehsten et al. 10.5194/gmd-12-893-2019
- The bioclimatic extent and pattern of the cold edge of the boreal forest: the circumpolar taiga-tundra ecotone P. Montesano et al. 10.1088/1748-9326/abb2c7
- Tundra conservation challenged by forest expansion in a complex mountainous treeline ecotone as revealed by spatially explicit tree aboveground biomass modeling S. Kruse et al. 10.1080/15230430.2023.2220208
- 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
- Overcoming conceptual hurdles to accurately represent trees as cohorts in forest landscape models E. Gustafson et al. 10.1016/j.ecolmodel.2024.110657
- Legacy of the Last Glacial on the present‐day distribution of deciduous versus evergreen boreal forests U. Herzschuh & G. Jordan 10.1111/geb.13018
- Terminal velocities and falling patterns correlate with morphology of diaspores in wind-dispersed forestry species S. Lee et al. 10.1007/s00468-022-02334-9
Latest update: 18 Apr 2024
Short summary
It is of major interest to estimate feedbacks of arctic ecosystems to global warming in the upcoming decades. However, the speed of this response is driven by the potential of species to migrate and the timing and spatial scale for this is rather uncertain. To close this knowledge gap, we updated a very detailed vegetation model by including seed and pollen dispersal driven by wind speed and direction. The new model can substantially help in unveiling the important drivers of migration dynamics.
It is of major interest to estimate feedbacks of arctic ecosystems to global warming in the...
