Dynamics and behaviour of airborne Quercus pollen in central Iberian Peninsula
Quercus pollen is one of the most abundant pollen types in the atmosphere of central Iberian Peninsula (Spain), as a consequence of the extensive representation of well-preserved forests and shrub communities dominated by species of the genus Quercus in this area. This paper analysed key features of...
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Veröffentlicht in: | Aerobiologia 2013-09, Vol.29 (3), p.419-428 |
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Sprache: | eng |
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Zusammenfassung: | Quercus
pollen is one of the most abundant pollen types in the atmosphere of central Iberian Peninsula (Spain), as a consequence of the extensive representation of well-preserved forests and shrub communities dominated by species of the genus
Quercus
in this area. This paper analysed key features of the
Quercus
pollination season in the central Iberian Peninsula and the influence of weather-related variables on airborne
Quercus
pollen concentration through statistical techniques of correlation analysis and the use of a decision tree model for predicting pollen concentrations.
Quercus
species are very common in Spain and Portugal, dominating a number of ecosystems including Mediterranean forests. This gives rise to very high airborne
Quercus
pollen concentrations, particularly in spring. Sampling was carried out over a 6-year period using a Hirst volumetric sampler, and the sampling procedure established by the Spanish Aerobiology Network. Results show that between 92 and 98.5 % of total annual airborne
Quercus
pollen was recorded in the April–June period. Annual pollen index were high in all study years, averaging 12,344 grains, but it should be highlighted that pollen production was highly variable between years. Correlations between mean daily
Quercus
pollen concentration and weather-related variables showed that in the pre-peak period, a significant positive correlation was observed with the mean daily temperature and the hours of sunshine and a negative correlation was observed with the humidity and the rainfall. In the post-peak period, a significant negative correlation was found with the mean daily temperature and the hours of sunshine. The predictions obtained in the decision tree model showed a moderate significant correlation (
r
= 0.42) with the daily
Quercus
pollen concentration predicted and the one observed. Temperature is the most influential variable in the release of
Quercus
pollen. |
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ISSN: | 0393-5965 1573-3025 |
DOI: | 10.1007/s10453-013-9294-2 |