Betula spp. pollen in the atmosphere of Novi Sad (2000–2002)

Radišić, Predrag; Šikoparija, Branko

doi:10.1007/s10453-004-5880-7

Cited by 6 publications

(3 citation statements)

References 11 publications

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“…Most of the published results were obtained using the regression analysis preceded by determining the relationship between pollen season characteristics calculated by different percentage methods (Andersen 1991; Corden et al 2002; Rodriguez-Rajo et al 2003; Stach et al 2008), cumulative methods (Drissen et al 1990; Norris-Hill 1998; Groom-Adams et al 2002; Laadi 2001b) or threshold values (Laadi 2001a; Radišic and Šikoparija 2005) and meteorological conditions (10-day mean values, mean monthly values, heat units, temperature accumulation). The beginning of pollen season, annual total and peak concentration are the most often predicted.…”

Section: Introductionmentioning

confidence: 99%

Prediction of the birch pollen season characteristics in Cracow, Poland using an 18-year data series

Myszkowska

2012

Aerobiologia

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The aim of the study was to construct the model forecasting the birch pollen season characteristics in Cracow on the basis of an 18-year data series. The study was performed using the volumetric method (Lanzoni/Burkard trap). The 98/95 % method was used to calculate the pollen season. The Spearman’s correlation test was applied to find the relationship between the meteorological parameters and pollen season characteristics. To construct the predictive model, the backward stepwise multiple regression analysis was used including the multi-collinearity of variables. The predictive models best fitted the pollen season start and end, especially models containing two independent variables. The peak concentration value was predicted with the higher prediction error. Also the accuracy of the models predicting the pollen season characteristics in 2009 was higher in comparison with 2010. Both, the multi-variable model and one-variable model for the beginning of the pollen season included air temperature during the last 10 days of February, while the multi-variable model also included humidity at the beginning of April. The models forecasting the end of the pollen season were based on temperature in March–April, while the peak day was predicted using the temperature during the last 10 days of March.

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Section: Introductionmentioning

confidence: 99%

Prediction of the birch pollen season characteristics in Cracow, Poland using an 18-year data series

Myszkowska

2012

Aerobiologia

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“…In other words, full-grown female flowers generally form in late October or early November. The stigmas of the female flower are receptive to pollen grains for an average of 3 or 4 d. Betula alnoides is probably selfincompatible through retarded growth of the pollen tube, like other species of Betula (i.e., Betula pendula and Betula pubescens) in Europe and North America (Clausen 1966;Holm 1994;Radisic and Sikoparija 2005).…”

Section: Cymule and Flower Organogenesismentioning

confidence: 99%

Organogenesis of Reproductive Structures inBetula alnoides(Betulaceae)

Lin¹,

Zeng

Chen³

2010

International Journal of Plant Sciences

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In order to scrutinize the floral development of the unisexual Betula alnoides and to discuss the organogenesis throughout other members of Betulaceae, the inflorescences, cymules, and flowers of B. alnoides were examined using scanning electron microscopy. In staminate flowers, there is no vestige of the carpel, and a 90°change in the orientation of two stamen primordia was noted during the developmental process. Tepals are usually laminar but vary in number and morphology. Secondary bracts are laminar, similar to the tepals. Pistillate flowers lack stamen primordia; tepals are arrested in early development, and the secondary bracts are more reduced than bracts in the male flowers. Despite this contrasting morphology, the organogenesis pattern of male and female cymules and flowers is similar. Bracts and tepals keep the same arrangements in both genders. The orientation of stamens and carpels is also consistent. Phylogenetic relationships within the family are discussed. The division of Betulaceae into Coryleae and Betuleae and the sister group relationship between Betula and Alnus are reinforced in the aspect of floral ontogeny.

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“…Investigaions into the dynamics of airborne birch (Betula L.) pollen are performed in many European states [1][2][3][4]. The attention of aerobiologists, botanists, planters, clinicists to this biological kind of air pollution has appeared because of large amounts of pollen dispersed during bloom period and decreasing life quality of the part of human population.…”

Section: Introductionmentioning

confidence: 99%

Application of Backward Air Mass Trajectory Analysis in Evaluating Airborne Pollen Dispersion

Šaulienė

Veriankaitė

2006

Journal of Environmental Engineering and Landscape Management

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To investigate airborne pollen movement aerobiologists use backward air mass trajectories. In the present paper the peculiarities of airborne birch pollen dispersion are analysed. In 2005 at Šiauliai Aerobiology Station pollen was recorded using Hirst‐type spore trap. The situation of birch bloom in neighbouring European countries was evaluated according to the European Aeroallergen Network database. It was generalized and used to prove long‐range pollen transport. Air mass trajectories were calculated according to the HYSPLIT 4 model the trajectory drawing principle of which is based on the integration of the position of air mass with regard to time. The present study has shown that backward air mass trajectory analysis may be applied in investigating relationship among pollen dispersion, meteorological conditions and air mass transport. It is estimated that at Šiauliai Aerobiology Station the dynamics of pollen concentration is determinated by local flora and airborne pollen long‐range transport. The evaluation of pollen dispersion by the backward air mass trajectory method presented in the paper established precondition to look for possibilities of application of the HYSPLIT 4 model to prepare the forecasts of pollen dispersion.

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Betula spp. pollen in the atmosphere of Novi Sad (2000–2002)

Cited by 6 publications

References 11 publications

Prediction of the birch pollen season characteristics in Cracow, Poland using an 18-year data series

Prediction of the birch pollen season characteristics in Cracow, Poland using an 18-year data series

Organogenesis of Reproductive Structures inBetula alnoides(Betulaceae)

Application of Backward Air Mass Trajectory Analysis in Evaluating Airborne Pollen Dispersion

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