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Modeling air-mediated dispersal of spores, pollen and seeds in forested areas

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  • Kuparinen, Anna
  • Markkanen, Tiina
  • Riikonen, Hermanni
  • Vesala, Timo

Abstract

Dispersal of airborne spores, pollen and seeds is important for various ecological and biological processes, and therefore modeling tools are needed in order to predict the dispersal patterns of these particles. In this study, we use a Lagrangian stochastic (LS) modeling approach to describe airborne particles dispersal in the atmospheric boundary layer. The LS dispersal model is extended to include non-Gaussian turbulence in the upper parts of the atmospheric boundary layer, as well as the reduction of the autocorrelation time in trajectories due to the high terminal velocity of particles. The sensitivity of particle dispersal on biological and atmospheric factors is assessed by simulating dispersal patterns under varying environmental conditions. Similarly, the level of needed model complexity for describing the particle dispersal is examined.

Suggested Citation

  • Kuparinen, Anna & Markkanen, Tiina & Riikonen, Hermanni & Vesala, Timo, 2007. "Modeling air-mediated dispersal of spores, pollen and seeds in forested areas," Ecological Modelling, Elsevier, vol. 208(2), pages 177-188.
    • Handle: RePEc:eee:ecomod:v:208:y:2007:i:2:p:177-188
    DOI: 10.1016/j.ecolmodel.2007.05.023
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    References listed on IDEAS

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    1. Ran Nathan & Gabriel G. Katul & Henry S. Horn & Suvi M. Thomas & Ram Oren & Roni Avissar & Stephen W. Pacala & Simon A. Levin, 2002. "Mechanisms of long-distance dispersal of seeds by wind," Nature, Nature, vol. 418(6896), pages 409-413, July.
    2. Kuparinen, Anna & Schurr, Frank M., 2007. "A flexible modelling framework linking the spatio-temporal dynamics of plant genotypes and populations: Application to gene flow from transgenic forests," Ecological Modelling, Elsevier, vol. 202(3), pages 476-486.
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    Cited by:

    1. Horn, S. & Raabe, A. & Will, H. & Tackenberg, O., 2012. "TurbSeed—A model for wind dispersal of seeds in turbulent currents based on publicly available climate data," Ecological Modelling, Elsevier, vol. 237, pages 1-10.
    2. Elina Numminen & Anna-Liisa Laine, 2020. "The spread of a wild plant pathogen is driven by the road network," PLOS Computational Biology, Public Library of Science, vol. 16(3), pages 1-21, March.
    3. Savage, David & Barbetti, Martin J. & MacLeod, William J. & Salam, Moin U. & Renton, Michael, 2011. "Can mechanistically parameterised, anisotropic dispersal kernels provide a reliable estimate of wind-assisted dispersal?," Ecological Modelling, Elsevier, vol. 222(10), pages 1673-1682.
    4. Qiuchi Wan & Kangyou Huang & Cong Chen & Yongjie Tang & Xiao Zhang & Zhong Zhang & Zhuo Zheng, 2023. "Relative Pollen Productivity Estimates for Major Plant Taxa in Middle Subtropical China," Land, MDPI, vol. 12(7), pages 1-13, July.
    5. Trakhtenbrot, A. & Katul, G.G. & Nathan, R., 2014. "Mechanistic modeling of seed dispersal by wind over hilly terrain," Ecological Modelling, Elsevier, vol. 274(C), pages 29-40.
    6. Ivanovska, Aneta & Todorovski, Ljupčo & Debeljak, Marko & Džeroski, Sašo, 2009. "Modelling the outcrossing between genetically modified and conventional maize with equation discovery," Ecological Modelling, Elsevier, vol. 220(8), pages 1063-1072.

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