Articles | Volume 11, issue 11
https://doi.org/10.5194/gmd-11-4451-2018
https://doi.org/10.5194/gmd-11-4451-2018
Development and technical paper
 | 
05 Nov 2018
Development and technical paper |  | 05 Nov 2018

Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: LAVESI-WIND 1.0

Stefan Kruse, Alexander Gerdes, Nadja J. Kath, and Ulrike Herzschuh

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Cited articles

Abaimov, A. P.: Geographical distribution and genetics of Siberian larch species, in: Permafrost Ecosystems – Siberian Larch Forests, vol. 209, edited by: Osawa, A., Zyryanova, O. A., Matsuura, Y., Kajimoto, T., and Wein, R. W., Springer, Netherlands, Dordrecht, 41–58, 2010. 
Abramowitz, M. and Stegun, I. A.: Handbook of mathematical functions: with formulas, graphs, and mathematical tables, Dover Books on Mathematics, Dover Publications, 2012. 
Ackerly, D. D.: Community assembly, niche conservatism, and adaptive evolution in changing environments, Int. J. Plant Sci., 164, S165–S184, https://doi.org/10.1086/368401, 2003. 
Ashley, M. V.: Plant parentage, pollination, and dispersal: How DNA microsatellites have altered the landscape, CRC. Crit. Rev. Plant Sci., 29, 148–161, https://doi.org/10.1080/07352689.2010.481167, 2010. 
Austerlitz, F., Jung-Muller, B., Godelle, B., and Gouyon, P.-H.: Evolution of coalescence times, genetic diversity and structure during colonization, Theor. Popul. Biol., 51, 148–164, https://doi.org/10.1006/tpbi.1997.1302, 1997. 
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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.
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