The effects of meteorological factors on the occurrence of Ganoderma sp. spores in the air
- PMID: 20512355
- PMCID: PMC3043254
- DOI: 10.1007/s00484-010-0329-x
The effects of meteorological factors on the occurrence of Ganoderma sp. spores in the air
Abstract
Ganoderma sp. is an airborne fungal spore type known to trigger respiratory allergy symptoms in sensitive patients. Aiming to reduce the risk for allergic individuals, we analysed fungal spore circulation in Szczecin, Poland, and its dependence on meteorological conditions. Statistical models for the airborne spore concentrations of Ganoderma sp.-one of the most abundant fungal taxa in the area-were developed. Aerobiological sampling was conducted over 2004-2008 using a volumetric Lanzoni trap. Simultaneously, the following meteorological parameters were recorded: daily level of precipitation, maximum and average wind speed, relative humidity and maximum, minimum, average and dew point temperatures. These data were used as the explaining variables. Due to the non-linearity and non-normality of the data set, the applied modelling techniques were artificial neural networks (ANN) and mutlivariate regression trees (MRT). The obtained classification and MRT models predicted threshold conditions above which Ganoderma sp. appeared in the air. It turned out that dew point temperature was the main factor influencing the presence or absence of Ganoderma sp. spores. Further analysis of spore seasons revealed that the airborne fungal spore concentration depended only slightly on meteorological factors.
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References
-
- Bishop C. Neural networks for pattern recognition. Oxford: University Press; 1995.
-
- British Aerobiology Federation . Airborne pollens and spores. A guide to trapping and counting. 1. Rotherham: National Pollen and Hayfever Bureau; 1995.
-
- Breiman L, Friedma JH, Olshen RA, Stone CG. Classification and regression trees. Belmont: Wadsworth International Group; 1984.
-
- Calderon C, Lacey J, McCartney HA, Rosas I. Seasonal and diurnal variation of airborne basidiomycete spore concentrations in Mexico City. Grana. 1995;34:260–268. doi: 10.1080/00173139509429055. - DOI
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