Alternative statistical methods for interpreting airborne Alder (Alnus glutimosa (L.) Gaertner) pollen concentrations.
This paper reports on the behaviour of Alnus glutinosa (alder) pollen grains in the atmosphere of Ponferrada (León, NW Spain) from 1995 to 2006. The study, which sought to determine the effects of various weather-related parameters on Alnus pollen counts, was performed using a volumetric method. The main pollination period for this taxon is January-February. Alder pollen is one of the eight major airborne pollen allergens found in the study area. An analysis was made of the correlation between pollen counts and major weather-related parameters over each period. In general, the strongest positive correlation was with temperature, particularly maximum temperature. During each period, peak pollen counts occurred when the maximum temperature fell within the range 9 degrees C-14 degrees C. Finally, multivariate analysis showed that the parameter exerting the greatest influence was temperature, a finding confirmed by Spearman correlation tests. Principal components analysis suggested that periods with high pollen counts were characterised by high maximum temperature, low rainfall and an absolute humidity of around 6 g m(-3). Use of this type of analysis in conjunction with other methods is essential for obtaining an accurate record of pollen-count variations over a given period.
González Parrado
Zulima
Z
Department of Biodiversity and Environmental Management, University of León, Campus de Vegazana s/n, 24071, León, Spain. zgonp@unileon.es
Valencia Barrera
Rosa M
RM
Fuertes Rodríguez
Carmen R
CR
Vega Maray
Ana M
AM
Pérez Romero
Rafael
R
Fraile
Roberto
R
Fernández González
Delia
D
D000485:Allergens / Q000032:analysis; D029661:Alnus; D001699:Biometry / Q000379:methods; D004784:Environmental Monitoring; D006801:Humans; D011058:Pollen / Q000276:immunology; D025341:Principal Component Analysis; D012621:Seasons; D013030:Spain; D014887:Weather
D000485:Allergens