Detail

Keywords

Forecasting; Pollen; Pollen Allergy

Research group(s)

• Aerobiology and Pollen Information
  Research Area: Pollination in Austria and Europe; Allergen avoidance; Symptom and pollen data and their relationship to air quality
  Members:
  Maximilian Bastl

Research interests

My research interest lie on pollen information and the improvement of pollen forecasts for the public on a local and European scale. Moreover, the improvement of personalized pollen information is an essential goal in my work as a researcher. In addition I have a focus on grasses and how different species contribute to the grass pollen season.

Techniques, methods & infrastructure

We apply standard light microscopy to determine and count pollen and spores from aerobiological samples. I also have experience in the field of Palynology (recent and fossil), electrone microscopic techniques (SEM and TEM) as well as in phenological monitoring and as data base administrator (European Pollen database, EAN)

Selected publications

1. Kmenta, M. et al., 2017. The grass pollen season 2015: a proof of concept multi-approach study in three different European cities. World Allergy Organization Journal, 10(1). Available at: http://dx.doi.org/10.1186/s40413-017-0163-2.
2. Kmenta, M. et al., 2016. The grass pollen season 2014 in Vienna: A pilot study combining phenology, aerobiology and symptom data. Science of The Total Environment, 566-567, pp.1614-1620. Available at: http://dx.doi.org/10.1016/j.scitotenv.2016.06.059.
3. Kmenta, M. et al., 2015. Pollen information consumption as an indicator of pollen allergy burden. Wiener klinische Wochenschrift, 128(1-2), pp.59-67. Available at: http://dx.doi.org/10.1007/s00508-015-0855-y.
4. Kmenta, M. et al., 2013. Development of personal pollen information�the next generation of pollen information and a step forward for hay fever sufferers. International Journal of Biometeorology, 58(8), pp.1721-1726. Available at: http://dx.doi.org/10.1007/s00484-013-0776-2.
5. Kmenta, M. & Zetter, R., 2013. Combined LM and SEM study of the upper Oligocene/lower Miocene palynoflora from Altmittweida (Saxony): Providing new insights into Cenozoic vegetation evolution of Central Europe. Review of Palaeobotany and Palynology, 195, pp.1-18. Available at: http://dx.doi.org/10.1016/j.revpalbo.2013.03.007.