Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: LAVESI-WIND 1.0
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...
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Online Access: | https://epic.awi.de/id/eprint/49697/ https://epic.awi.de/id/eprint/49697/1/Kruse_2018_LavesiWind.pdf https://doi.org/10.5194/gmd-11-4451-2018 https://hdl.handle.net/10013/epic.34204678-2693-49ec-9e2b-5477ecbcf86a |
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ftawi:oai:epic.awi.de:49697 2024-09-15T18:08:09+00:00 Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: LAVESI-WIND 1.0 Kruse, Stefan Gerdes, Alexander Kath, Nadja J. Herzschuh, Ulrike 2018-11-05 application/pdf https://epic.awi.de/id/eprint/49697/ https://epic.awi.de/id/eprint/49697/1/Kruse_2018_LavesiWind.pdf https://doi.org/10.5194/gmd-11-4451-2018 https://hdl.handle.net/10013/epic.34204678-2693-49ec-9e2b-5477ecbcf86a unknown https://epic.awi.de/id/eprint/49697/1/Kruse_2018_LavesiWind.pdf Kruse, S. orcid:0000-0003-1107-1958 , Gerdes, A. , Kath, N. J. and Herzschuh, U. orcid:0000-0003-0999-1261 (2018) Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: LAVESI-WIND 1.0 , Geoscientific Model Development, 11 (11), pp. 4451-4467 . doi:10.5194/gmd-11-4451-2018 <https://doi.org/10.5194/gmd-11-4451-2018> , hdl:10013/epic.34204678-2693-49ec-9e2b-5477ecbcf86a EPIC3Geoscientific Model Development, 11(11), pp. 4451-4467, ISSN: 1991-9603 Article isiRev 2018 ftawi https://doi.org/10.5194/gmd-11-4451-2018 2024-06-24T04:22:11Z 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 ... Article in Journal/Newspaper Global warming Siberia Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Geoscientific Model Development 11 11 4451 4467 |
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Open Polar |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
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ftawi |
language |
unknown |
description |
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 ... |
format |
Article in Journal/Newspaper |
author |
Kruse, Stefan Gerdes, Alexander Kath, Nadja J. Herzschuh, Ulrike |
spellingShingle |
Kruse, Stefan Gerdes, Alexander Kath, Nadja J. Herzschuh, Ulrike Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: LAVESI-WIND 1.0 |
author_facet |
Kruse, Stefan Gerdes, Alexander Kath, Nadja J. Herzschuh, Ulrike |
author_sort |
Kruse, Stefan |
title |
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_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_sort |
implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: lavesi-wind 1.0 |
publishDate |
2018 |
url |
https://epic.awi.de/id/eprint/49697/ https://epic.awi.de/id/eprint/49697/1/Kruse_2018_LavesiWind.pdf https://doi.org/10.5194/gmd-11-4451-2018 https://hdl.handle.net/10013/epic.34204678-2693-49ec-9e2b-5477ecbcf86a |
genre |
Global warming Siberia |
genre_facet |
Global warming Siberia |
op_source |
EPIC3Geoscientific Model Development, 11(11), pp. 4451-4467, ISSN: 1991-9603 |
op_relation |
https://epic.awi.de/id/eprint/49697/1/Kruse_2018_LavesiWind.pdf Kruse, S. orcid:0000-0003-1107-1958 , Gerdes, A. , Kath, N. J. and Herzschuh, U. orcid:0000-0003-0999-1261 (2018) Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: LAVESI-WIND 1.0 , Geoscientific Model Development, 11 (11), pp. 4451-4467 . doi:10.5194/gmd-11-4451-2018 <https://doi.org/10.5194/gmd-11-4451-2018> , hdl:10013/epic.34204678-2693-49ec-9e2b-5477ecbcf86a |
op_doi |
https://doi.org/10.5194/gmd-11-4451-2018 |
container_title |
Geoscientific Model Development |
container_volume |
11 |
container_issue |
11 |
container_start_page |
4451 |
op_container_end_page |
4467 |
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1810445494762078208 |