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. 2012;7(4):e34076.
doi: 10.1371/journal.pone.0034076. Epub 2012 Apr 13.

Changes to airborne pollen counts across Europe

Affiliations

Changes to airborne pollen counts across Europe

Chiara Ziello et al. PLoS One. 2012.

Abstract

A progressive global increase in the burden of allergic diseases has affected the industrialized world over the last half century and has been reported in the literature. The clinical evidence reveals a general increase in both incidence and prevalence of respiratory diseases, such as allergic rhinitis (common hay fever) and asthma. Such phenomena may be related not only to air pollution and changes in lifestyle, but also to an actual increase in airborne quantities of allergenic pollen. Experimental enhancements of carbon dioxide (CO[Formula: see text]) have demonstrated changes in pollen amount and allergenicity, but this has rarely been shown in the wider environment. The present analysis of a continental-scale pollen data set reveals an increasing trend in the yearly amount of airborne pollen for many taxa in Europe, which is more pronounced in urban than semi-rural/rural areas. Climate change may contribute to these changes, however increased temperatures do not appear to be a major influencing factor. Instead, we suggest the anthropogenic rise of atmospheric CO[Formula: see text] levels may be influential.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Locations of pollen sites.
Each station has been indicated by a red circle. Symbol sizes are proportional to the temporal length of the local longest pollen record.
Figure 2
Figure 2. Trends of annual pollen index (API) by species.
Boxplots show the proportional annual change of yearly pollen sums for the 23 pollen taxa analyzed (reasons for selection given in the main text). Medians are significantly different from zero (Mann-Whitney test, * : formula image, ** : formula image, *** : formula image, n.s.: formula image) for 11 taxa. On the right, the percentages of significant trends are indicated for each taxon (of which the percentages of positive trends are given in parentheses). The height of the boxplot is related to sample size, taxa are arranged in decreasing order of their medians.
Figure 3
Figure 3. API trends by country.
Boxplots show the proportional annual change of yearly pollen sums for 13 countries. Medians are significantly different from zero (Mann-Whitney test, * : formula image, ** : formula image, *** : formula image, n.s.: formula image) for six countries. On the right, the percentages of significant trends are indicated for each country (of which the percentages of positive trends are given in parentheses). The height of the boxplot is related to sample size, countries are arranged in decreasing order of their medians.
Figure 4
Figure 4. API trends against temperature trends by species.
Proportional annual change of yearly pollen sums was plotted against local temperature trends for 23 pollen taxa. Temperature trends were calculated for each location for the mean temperature of two seasons, January to April (associated with the flowering of Alnus, Betula, Carpinus, Corylus, Cupressaceae, Fagus, Fraxinus, Olea, Pinaceae, Platanus, Populus, Quercus, Salix, and Ulmus) or April to August (related to Ambrosia, Artemisia, Castanea, Chenopodiaceae, Plantago, Poaceae, Rumex, Tilia, and Urtica), over the years 1977–2009. A regression line has been superimposed for Betula and Carpinus, the only statistically significant relationships.
Figure 5
Figure 5. Mean API against mean local temperature.
Log-scaled mean annual sum of airborne pollen was plotted against local mean temperature for 23 pollen taxa. Mean temperatures were calculated for two periods, January to April (associated with the flowering of Alnus, Betula, Carpinus, Corylus, Cupressaceae, Fagus, Fraxinus, Olea, Pinaceae, Platanus, Populus, Quercus, Salix, and Ulmus) or April to August (related to Ambrosia, Artemisia, Castanea, Chenopodiaceae, Plantago, Poaceae, Rumex, Tilia, and Urtica), over the period 1977–2009. Only significant regression lines are shown.
Figure 6
Figure 6. API trends by environment type.
Boxplots show the proportional annual change of yearly pollen sums for different environments. Mann-Whitney tests show a significant increase (median different from zero, formula image) of airborne pollen in urban environments. The notches are calculated as formula image and the height of each boxplot is related to sample size. On the right, the percentages of significant trends are indicated for each type of environment (of which the percentages of positive trends are given in parentheses).
Figure 7
Figure 7. Maximum duration of pollen series by location.
The local longest monitored period is shown as a red bar for each of the 97 locations considered. Missing years, occurring in few cases, have been omitted for clarity.

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