Comparison of airborne Cupressaceae, Quercus and Poaceae pollen between Tulsa (Oklahoma) and Cordoba (Spain)

被引:1
|
作者
Helfman-Hertzog, Ilanit [1 ,6 ]
Galan, Carmen [2 ,3 ]
Levetin, Estelle [4 ]
Kutiel, Haim [1 ]
Hefer, Tsila [5 ]
机构
[1] Univ Haifa, Dept Geog & Environm Studies, Lab Climatol, Haifa, Israel
[2] Univ Cordoba, Andalusian Inst Earth Syst Res IISTA, Cordoba, Spain
[3] Univ Cordoba, Int Campus Excellence Agrifood ceiA3, Cordoba, Spain
[4] Univ Tulsa, Dept Biol Sci, Tulsa, OK USA
[5] Meuhedet Clin, Haifa, Israel
[6] Univ Haifa, Dept Geog & Environm Studies, Lab Climatol, 199 Aba Khoushy Ave Mt Carmel, Haifa, Israel
关键词
Airborne pollen; meteorological parameters; forecasting; MOUNTAIN CEDAR POLLEN; LONG-TERM TRENDS; METEOROLOGICAL PARAMETERS; CLIMATE-CHANGE; IBERIAN PENINSULA; SEASON; SOUTH; ALLERGY; ATMOSPHERE; AEROBIOLOGY;
D O I
10.1080/00173134.2023.2222123
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
This study focuses on the pollen season timing and intensity, and the influence of weather conditions, on airborne Cupressaceae, Quercus, and Poaceae pollen in two different biogeographical areas, Cordoba (Spain) and Tulsa, Oklahoma (USA), during 2010-2014. Pollen concentrations were recorded using Hirst-type spore traps. The meteorological parameters studied included temperature, relative humidity, wind speed, and rainfall. This study aims to define the pollen seasons and their intensity and relationships with meteorological parameters in different biogeographical areas. The main pollen season (MPS) of each pollen type was divided into two periods: pre-peak and post-peak. The Shapiro-Wilk normality test was applied to the pollen concentrations and log transformed data were used. Pearson correlations and linear regression were applied for the pre-peak, post-peak, and MPS for comparing pollen concentrations with meteorological parameters considering both the same day and the previous day. Then, multiple regression analysis was applied with all the meteorological parameters that showed significant results in the linear regression. The models were validated through correlations between the measured and predicted pollen concentrations. The results showed a small difference in the MPS for the different pollen types at each site. Temperature, relative humidity, and rainfall influenced the pollen concentrations. The same day's meteorological parameters usually had a greater impact on the pollen concentration than the previous day's meteorological parameters; although, pollen concentrations for the next day could be forecasted considering the meteorological parameters forecasted for the present day. The pollen concentrations showed greater correlations with temperature.
引用
收藏
页码:172 / 191
页数:20
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