2009
DOI: 10.1007/s00484-009-0221-8
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Forecasting the start of Quercus pollen season using several methods – the evaluation of their efficiency

Abstract: Forecasting the time when the atmospheric pollen season of allergenic plants begins is particularly important for doctors and their patients. The aim of this paper is to determine whether it is possible to forecast the start of the oak (Quercus) pollen season in Rzeszów, Poland. In the elaboration of the most effective model, various forecasting techniques were tested: growth degree days (GDD degrees C); meteorological factors; bioclimatic factors; and indicator taxon. The aerobiological monitoring was carried… Show more

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Cited by 23 publications
(19 citation statements)
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“…The main pollen season (MPS) was described as the time during which most pollen (90%) was recorded, starting when the sum of daily means concentrations reached 5% of the total sum, up to the point when the sum reached 95% [12]. The pollination of all arboreal species initiated and peaked during springtime, with the exception of Cupressaceae that started their circulation in January (Tab.…”
Section: Resultsmentioning
confidence: 99%
“…The main pollen season (MPS) was described as the time during which most pollen (90%) was recorded, starting when the sum of daily means concentrations reached 5% of the total sum, up to the point when the sum reached 95% [12]. The pollination of all arboreal species initiated and peaked during springtime, with the exception of Cupressaceae that started their circulation in January (Tab.…”
Section: Resultsmentioning
confidence: 99%
“…Each climatic area is characterized by particular pollination patterns and weather conditions, leading to such models being widely studied across different regions (Sánchez-Mesa et al 2002;Smith and Emberlin 2006;Rodríguez-Rajo et al 2010;Piotrowska 2012, Brighetti et al 2014. Similar studies have also been carried out in other taxa (Rodríguez-Rajo et al 2003, Kasprzyk 2009, Sabariego et al 2012, Oteros et al 2013.…”
Section: Introductionmentioning
confidence: 93%
“…Traditional observation-based models employ a number of different methods to relate records of airborne pollen or phenological observations to one or more variables that can be measured or predicted, usually meteorological data. Examples in IJB include regression models (Laaidi et al 2003;Smith and Emberlin 2006;Sabariego et al 2012), time series models Silva-Palacios et al 2016), computational intelligence techniques (Puc 2012; Navares and Aznarte 2017) and process-based phenological models (Schaber and Badeck 2003;Kasprzyk 2009). The main drawback of such models is that they are generally specific to a particular site, although there are some exceptions (e.g.…”
Section: Aerobiological Modelling and Forecasting In Ijbmentioning
confidence: 99%
“…The main drawback of such models is that they are generally specific to a particular site, although there are some exceptions (e.g. García-Mozo et al 2008, 2009.…”
Section: Aerobiological Modelling and Forecasting In Ijbmentioning
confidence: 99%
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