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Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: LAVESI-WIND 1.0
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| Zeitschriftentitel: | Geoscientific Model Development |
|---|---|
| Personen und Körperschaften: | , , , |
| In: | Geoscientific Model Development, 11, 2018, 11, S. 4451-4467 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Copernicus GmbH
|
| Schlagwörter: |
| author_facet |
Kruse, Stefan Gerdes, Alexander Kath, Nadja J. Herzschuh, Ulrike Kruse, Stefan Gerdes, Alexander Kath, Nadja J. Herzschuh, Ulrike |
|---|---|
| author |
Kruse, Stefan Gerdes, Alexander Kath, Nadja J. Herzschuh, Ulrike |
| spellingShingle |
Kruse, Stefan Gerdes, Alexander Kath, Nadja J. Herzschuh, Ulrike Geoscientific Model Development Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: LAVESI-WIND 1.0 Polymers and Plastics General Environmental Science |
| author_sort |
kruse, stefan |
| spelling |
Kruse, Stefan Gerdes, Alexander Kath, Nadja J. Herzschuh, Ulrike 1991-9603 Copernicus GmbH Polymers and Plastics General Environmental Science http://dx.doi.org/10.5194/gmd-11-4451-2018 <jats:p>Abstract. It is of major interest to estimate the feedback of arctic ecosystems to the global warming we expect in upcoming decades. The speed of this response is driven by the potential of species to migrate, tracking their climate optimum. For this, sessile plants have to produce and disperse seeds to newly available habitats, and pollination of ovules is needed for the seeds to be viable. These two processes are also the vectors that pass genetic information through a population. A restricted exchange among subpopulations might lead to a maladapted population due to diversity losses. Hence, a realistic implementation of these dispersal processes into a simulation model would allow an assessment of the importance of diversity for the migration of plant species in various environments worldwide. To date, dynamic global vegetation models have been optimized for a global application and overestimate the migration of biome shifts in currently warming temperatures. We hypothesize that this is caused by neglecting important fine-scale processes, which are necessary to estimate realistic vegetation trajectories. Recently, we built and parameterized a simulation model LAVESI for larches that dominate the latitudinal treelines in the northernmost areas of Siberia. In this study, we updated the vegetation model by including seed and pollen dispersal driven by wind speed and direction. The seed dispersal is modelled as a ballistic flight, and for the pollination of ovules of seeds produced, we implemented a wind-determined and distance-dependent probability distribution function using a von Mises distribution to select the pollen donor. A local sensitivity analysis of both processes supported the robustness of the model's results to the parameterization, although it highlighted the importance of recruitment and seed dispersal traits for migration rates. This individual-based and spatially explicit implementation of both dispersal processes makes it easily feasible to inherit plant traits and genetic information to assess the impact of migration processes on the genetics. Finally, we suggest how the final model can be applied to substantially help in unveiling the important drivers of migration dynamics and, with this, guide the improvement of recent global vegetation models. </jats:p> Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: LAVESI-WIND 1.0 Geoscientific Model Development |
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10.5194/gmd-11-4451-2018 |
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Chemie und Pharmazie |
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ElectronicArticle |
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Copernicus GmbH, 2018 |
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2018 |
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Geoscientific Model Development |
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49 |
| title |
Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: LAVESI-WIND 1.0 |
| title_unstemmed |
Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: LAVESI-WIND 1.0 |
| title_full |
Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: LAVESI-WIND 1.0 |
| title_fullStr |
Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: LAVESI-WIND 1.0 |
| title_full_unstemmed |
Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: LAVESI-WIND 1.0 |
| title_short |
Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: LAVESI-WIND 1.0 |
| title_sort |
implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: lavesi-wind 1.0 |
| topic |
Polymers and Plastics General Environmental Science |
| url |
http://dx.doi.org/10.5194/gmd-11-4451-2018 |
| publishDate |
2018 |
| physical |
4451-4467 |
| description |
<jats:p>Abstract. It is of major interest to estimate the feedback of arctic ecosystems to the
global warming we expect in upcoming decades. The speed of this response is
driven by the potential of species to migrate, tracking their climate
optimum. For this, sessile plants have to produce and disperse seeds to newly
available habitats, and pollination of ovules is needed for the seeds to be
viable. These two processes are also the vectors that pass genetic
information through a population. A restricted exchange among subpopulations
might lead to a maladapted population due to diversity losses. Hence, a
realistic implementation of these dispersal processes into a simulation model
would allow an assessment of the importance of diversity for the migration of
plant species in various environments worldwide. To date, dynamic global
vegetation models have been optimized for a global application and
overestimate the migration of biome shifts in currently warming temperatures.
We hypothesize that this is caused by neglecting important fine-scale
processes, which are necessary to estimate realistic vegetation trajectories.
Recently, we built and parameterized a simulation model LAVESI for larches
that dominate the latitudinal treelines in the northernmost areas of Siberia.
In this study, we updated the vegetation model by including seed and pollen
dispersal driven by wind speed and direction. The seed dispersal is modelled
as a ballistic flight, and for the pollination of ovules of seeds produced,
we implemented a wind-determined and distance-dependent probability
distribution function using a von Mises distribution to select the pollen
donor. A local sensitivity analysis of both processes supported the
robustness of the model's results to the parameterization, although it
highlighted the importance of recruitment and seed dispersal traits for
migration rates. This individual-based and spatially explicit implementation
of both dispersal processes makes it easily feasible to inherit plant traits
and genetic information to assess the impact of migration processes on the
genetics. Finally, we suggest how the final model can be applied to
substantially help in unveiling the important drivers of migration dynamics
and, with this, guide the improvement of recent global vegetation models.
</jats:p> |
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| author | Kruse, Stefan, Gerdes, Alexander, Kath, Nadja J., Herzschuh, Ulrike |
| author_facet | Kruse, Stefan, Gerdes, Alexander, Kath, Nadja J., Herzschuh, Ulrike, Kruse, Stefan, Gerdes, Alexander, Kath, Nadja J., Herzschuh, Ulrike |
| author_sort | kruse, stefan |
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| description | <jats:p>Abstract. It is of major interest to estimate the feedback of arctic ecosystems to the global warming we expect in upcoming decades. The speed of this response is driven by the potential of species to migrate, tracking their climate optimum. For this, sessile plants have to produce and disperse seeds to newly available habitats, and pollination of ovules is needed for the seeds to be viable. These two processes are also the vectors that pass genetic information through a population. A restricted exchange among subpopulations might lead to a maladapted population due to diversity losses. Hence, a realistic implementation of these dispersal processes into a simulation model would allow an assessment of the importance of diversity for the migration of plant species in various environments worldwide. To date, dynamic global vegetation models have been optimized for a global application and overestimate the migration of biome shifts in currently warming temperatures. We hypothesize that this is caused by neglecting important fine-scale processes, which are necessary to estimate realistic vegetation trajectories. Recently, we built and parameterized a simulation model LAVESI for larches that dominate the latitudinal treelines in the northernmost areas of Siberia. In this study, we updated the vegetation model by including seed and pollen dispersal driven by wind speed and direction. The seed dispersal is modelled as a ballistic flight, and for the pollination of ovules of seeds produced, we implemented a wind-determined and distance-dependent probability distribution function using a von Mises distribution to select the pollen donor. A local sensitivity analysis of both processes supported the robustness of the model's results to the parameterization, although it highlighted the importance of recruitment and seed dispersal traits for migration rates. This individual-based and spatially explicit implementation of both dispersal processes makes it easily feasible to inherit plant traits and genetic information to assess the impact of migration processes on the genetics. Finally, we suggest how the final model can be applied to substantially help in unveiling the important drivers of migration dynamics and, with this, guide the improvement of recent global vegetation models. </jats:p> |
| doi_str_mv | 10.5194/gmd-11-4451-2018 |
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| imprint | Copernicus GmbH, 2018 |
| imprint_str_mv | Copernicus GmbH, 2018 |
| institution | DE-105, DE-14, DE-Ch1, DE-L229, DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161, DE-Gla1, DE-Zi4, DE-15, DE-Rs1, DE-Pl11 |
| issn | 1991-9603 |
| issn_str_mv | 1991-9603 |
| language | English |
| last_indexed | 2024-03-01T17:51:46.805Z |
| match_str | kruse2018implementingspatiallyexplicitwinddrivenseedandpollendispersalintheindividualbasedlarchsimulationmodellavesiwind10 |
| mega_collection | Copernicus GmbH (CrossRef) |
| physical | 4451-4467 |
| publishDate | 2018 |
| publishDateSort | 2018 |
| publisher | Copernicus GmbH |
| record_format | ai |
| recordtype | ai |
| series | Geoscientific Model Development |
| source_id | 49 |
| spelling | Kruse, Stefan Gerdes, Alexander Kath, Nadja J. Herzschuh, Ulrike 1991-9603 Copernicus GmbH Polymers and Plastics General Environmental Science http://dx.doi.org/10.5194/gmd-11-4451-2018 <jats:p>Abstract. It is of major interest to estimate the feedback of arctic ecosystems to the global warming we expect in upcoming decades. The speed of this response is driven by the potential of species to migrate, tracking their climate optimum. For this, sessile plants have to produce and disperse seeds to newly available habitats, and pollination of ovules is needed for the seeds to be viable. These two processes are also the vectors that pass genetic information through a population. A restricted exchange among subpopulations might lead to a maladapted population due to diversity losses. Hence, a realistic implementation of these dispersal processes into a simulation model would allow an assessment of the importance of diversity for the migration of plant species in various environments worldwide. To date, dynamic global vegetation models have been optimized for a global application and overestimate the migration of biome shifts in currently warming temperatures. We hypothesize that this is caused by neglecting important fine-scale processes, which are necessary to estimate realistic vegetation trajectories. Recently, we built and parameterized a simulation model LAVESI for larches that dominate the latitudinal treelines in the northernmost areas of Siberia. In this study, we updated the vegetation model by including seed and pollen dispersal driven by wind speed and direction. The seed dispersal is modelled as a ballistic flight, and for the pollination of ovules of seeds produced, we implemented a wind-determined and distance-dependent probability distribution function using a von Mises distribution to select the pollen donor. A local sensitivity analysis of both processes supported the robustness of the model's results to the parameterization, although it highlighted the importance of recruitment and seed dispersal traits for migration rates. This individual-based and spatially explicit implementation of both dispersal processes makes it easily feasible to inherit plant traits and genetic information to assess the impact of migration processes on the genetics. Finally, we suggest how the final model can be applied to substantially help in unveiling the important drivers of migration dynamics and, with this, guide the improvement of recent global vegetation models. </jats:p> Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: LAVESI-WIND 1.0 Geoscientific Model Development |
| spellingShingle | Kruse, Stefan, Gerdes, Alexander, Kath, Nadja J., Herzschuh, Ulrike, Geoscientific Model Development, Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: LAVESI-WIND 1.0, Polymers and Plastics, General Environmental Science |
| title | Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: LAVESI-WIND 1.0 |
| title_full | Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: LAVESI-WIND 1.0 |
| title_fullStr | Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: LAVESI-WIND 1.0 |
| title_full_unstemmed | Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: LAVESI-WIND 1.0 |
| title_short | Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: LAVESI-WIND 1.0 |
| title_sort | implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: lavesi-wind 1.0 |
| title_unstemmed | Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: LAVESI-WIND 1.0 |
| topic | Polymers and Plastics, General Environmental Science |
| url | http://dx.doi.org/10.5194/gmd-11-4451-2018 |