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55th Meeting of the Polish Botanical Society, Warsaw 2010<br />

PrEdICTING THE STArT ANd INTENSITY OF BIrCH<br />

ANd OAK POLLEN SEASON IN POZNAN<br />

Grewling Łukasz1 , Uruska Agnieszka1 , Szymańska Agata1 ,<br />

Nowak Małgorzata1 , Jackowiak Bogdan1,2 . Adam Mickiewicz<br />

Univeristy, Faculty of Biology, 89 Umultowska St., 61-164<br />

Poznań, Poland; 1Laboratory of Aeropalinology, curculio13@<br />

gmail.com; 2Department of Plant Taxonomy, bogjack@amu.<br />

edu.pl<br />

The data set for constructing the forecasting model was obtained<br />

using a Hirst volumetric spore-trap situated in the centre<br />

of Poznan for 12 consecutive years (1996– 2007). Start date<br />

of pollen seasons was determinated using several methods<br />

(threshold values, cumulative sum of pollen and the 90, 95 and<br />

95% method). The accuracy of the models was tested by comparing<br />

the predicted values with the real values recorded during<br />

two additional years not included in model (2008– 2009).<br />

Meteorologic data collected during the months before flowering,<br />

including 2-, 3-, 4-, 5-, 6-weeks mean maximum, minimum<br />

and mean temperature and total sum of rainfall were<br />

studied in order to determine their influence on Betula and<br />

Quercus pollen seasons. Additionally, the phenological data,<br />

information about dormancy and heat accumulation period<br />

(heat units) and the role of photoperiod in incuding flowering,<br />

were used during the modelling process. The most important<br />

factor determining the start of the pollen season was mean daily<br />

maximum temperature recorded one month before flowering.<br />

Based on this factor, the prediction was accurate to within<br />

a few days. Similar results were obtained using heat units. The<br />

main factors responsible for the intensity of flowering were the<br />

sum of the rain during summer one year before flowering, the<br />

pollen production in the previous year and the amount of rain<br />

in the weeks before flowering.<br />

THE SPACE-TIME ANALYSIS OF corylus POLLEN<br />

SEASONS IN POLANd<br />

Kasprzyk Idalia 1 , Uruska Agnieszka 2,7 , Latałowa Małgorzata<br />

2 , Weryszko-Chmielewska Elżbieta 3 , Piotrowska Krystyna<br />

3 , Chłopek Kazimiera 4 , Dąbrowska-Zapart Katarzyna 4 ,<br />

Puc Małgorzata 5 , Grinn-Gofroń Agnieszka 5 , Myszkowska<br />

dorota 6 , Stępalska Danuta 6 , Grewling Łukasz 7 , Stosik Tomasz<br />

8 , Jendrzejczak Ewa 8 , Majkowska-Wojciechowska<br />

Barbara 9 , rapiejko Piotr 10 . 1 University of Rzeszów, 6 Pigonia<br />

St., 35-959 Rzeszów, Poland, idalia@univ.rzeszow.pl; 2 University<br />

of Gdańsk, Poland; 3 University of Life Sciences in Lublin,<br />

Poland; 4 University of Silesia in Katowice, Sosnowiec, Poland;<br />

5 University of Szczecin, Poland; 6 Jagiellonian University, Collegium<br />

Medicum, Cracow, Poland; 7 Adam Mickiewicz University,<br />

Poznań, Poland; 8 University of Technology and Life Science in<br />

Bydgoszcz, Poland; 9 Medical University of Łódź, Łódź, Poland;<br />

10 OBAŚ, Warsaw, Poland<br />

Aerobiological monitoring was performed in 10 cities in Poland<br />

in 2009. The Corylus pollen seasons were clearly skew to<br />

the right. A very quick increase in pollen concentration in the<br />

air and a clearly slower decline were observed. In Poznań and<br />

Olsztyn the pollen seasons were the shortest, somewhat over<br />

1 month. In Sosnowiec pollen occurred in the air for over 100<br />

days. In Cracow and Sosnowiec dynamics of the pollen seasons<br />

were the most similar. In Rzeszów and Lublin the pollen seasons<br />

were clearly different from seasons in other cities. The pollen<br />

seasons started the earliest in Lublin and Rzeszów (7 Feb),<br />

30 days later in Bydgoszcz. The last pollen grains in Olsztyn<br />

were noted 29 March, in Łódź and Lublin 27 April. In Szczecin<br />

maximum concentration value was noted on a day when<br />

in Bydgoszcz the pollen season had just started. In Rzeszów<br />

maximum concentration occurred on a day when in Olsztyn the<br />

pollen season was already over. Such differences result, from<br />

among other differences, from a climatic diversity along a NW-<br />

SE transect in Poland. The strongest variability, referred to daily<br />

pollen concentration values and annual totals. The highest num-<br />

16<br />

ber of pollen grains in a year was stated in Olsztyn, the lowest<br />

in Gdańsk.<br />

BIOLOGICAL MOdELS FOr THE BIrCH (betulA SP.)<br />

POLLEN SEASONS IN SELECTEd POLISH CITIES<br />

Myszkowska dorota1 , Jenner Bartosz2 . Jagiellonian University,<br />

Medical College, 1Department of Clinical and Environmental<br />

Allergology, 10 Śniadeckich St., 31-531 Cracow, Poland,<br />

dmyszkow@cm-uj.krakow.pl; 2Department of Clinical and Environmental<br />

Toxicology, 1 Złotej Jesieni St., 31-826 Cracow,<br />

Poland, jennerb@poczta.fm<br />

The mathematical model for the daily pollen concentration in<br />

the pollen season was performed. The model was calculated<br />

on the grounds that, the daily pollen concentration in the air is<br />

a result of two opposite processes: the pollen concentration increase<br />

caused by pollen release and the decrease caused by the<br />

pollen disintegration. It was assumed that the pollen release<br />

distribution is the normal distribution and the rate of disintegration<br />

is the constant function (independent of time). The<br />

model was tested during the birch pollen seasons in selected<br />

cities (Cracow 1991– 2009, Szczecin 2003– 2009, Rzeszów<br />

1997– 2005, Poznań 1996– 2009, Lublin 2001– 2009, Sosnowiec<br />

1997– 2009). Four season parameters were tested: annual<br />

pollen total, the day of the maximum concentration, standard<br />

deviation of the pollen release distribution and the mean daily<br />

rate of disintegration. Two types of models were presented:<br />

one and two-peaked models depending on the number of<br />

clearly distinguished peak days. In the case of the two-peaked<br />

model it was assumed, that the pollen release is presented by<br />

two normal distributions. For each city, there were more years<br />

with one peak value. The strength of the model fitting data depends<br />

on the outlier points and the daily pollen concentration<br />

fluctuation (the frequency of their occurrence and absolute differences).<br />

THE EFFECT OF METEOrOLOGICAL FACTOrS ON<br />

AIrBOrNE BIrCH POLLEN CONCENTrATIONS IN<br />

LUBLIN<br />

Piotrowska Krystyna 1 , Kaszewski Bogusław M. 2 1 University<br />

of Life Sciences, Department of Botany, 15 Akademicka<br />

St., Lublin, Poland, krystyna.piotrowska@up.lublin.pl; 2 Maria<br />

Skłodowska -Curie University, Department of Meteoroly and<br />

Climatology, 2cd Karśnicka Av., 20-048 Lublin, Poland<br />

Birch pollen contains allergens showing strong allergenic activity<br />

which are a frequent cause of pollen allergy in Europe.<br />

The pattern of birch pollen seasons in Lublin in the period<br />

2001– 2009 was analysed. Pollen monitoring was conducted by<br />

the volumetric method using a Lanzoni VPPS 2000 sampler.<br />

The start of the season, determined using the 98% method,<br />

took place between 3 April and 22 April, while the end between<br />

6 May and 21 May. The highest pollen counts over the<br />

9-year study period were recorded in the second half of April.<br />

Very large variations, related to maximum daily counts and<br />

annual pollen sums in particular years. The shortest season<br />

with intense dynamics was recorded in 2003. The value of the<br />

maximum pollen count in this year was 25 times higher than<br />

in 2009 in which the pollen count was the lowest. It was found<br />

that mean air temperature and rainfall had the greatest effect<br />

on the birch pollen season. The highest negative correlation<br />

was noted between the start of the season and mean temperature<br />

in February. Higher temperature in February promoted<br />

the earlier onset of the season. Maximum pollen counts and<br />

annual pollen sums were correlated with mean temperature in<br />

May of the year preceding pollen release as well as in February<br />

and April in the year of pollen release. Rainfall events in<br />

April significantly delayed the occurrence of maximum birch<br />

pollen counts.

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