Sadyś Magdalena, Strzelczak Agnieszka, Grinn-Gofroń Agnieszka, Kennedy Roy
National Pollen and Aerobiology Research Unit, University of Worcester, Henwick Grove, WR2 6AJ, Worcester, England, UK,
Int J Biometeorol. 2015 Jan;59(1):25-36. doi: 10.1007/s00484-014-0818-4. Epub 2014 Mar 27.
An aerobiological survey was conducted through five consecutive years (2006-2010) at Worcester (England). The concentration of 20 allergenic fungal spore types was measured using a 7-day volumetric spore trap. The relationship between investigated fungal spore genera and selected meteorological parameters (maximum, minimum, mean and dew point temperatures, rainfall, relative humidity, air pressure, wind direction) was examined using an ordination method (redundancy analysis) to determine which environmental factors favoured their most abundance in the air and whether it would be possible to detect similarities between different genera in their distribution pattern. Redundancy analysis provided additional information about the biology of the studied fungi through the results of the Spearman's rank correlation. Application of the variance inflation factor in canonical correspondence analysis indicated which explanatory variables were auto-correlated and needed to be excluded from further analyses. Obtained information will be consequently implemented in the selection of factors that will be a foundation for forecasting models for allergenic fungal spores in the future.
在英国伍斯特连续五年（2006 - 2010年）进行了一项空气生物学调查。使用7天容量孢子捕捉器测量了20种致敏真菌孢子类型的浓度。采用排序方法（冗余分析）研究了所调查的真菌孢子属与选定气象参数（最高、最低、平均和露点温度、降雨量、相对湿度、气压、风向）之间的关系，以确定哪些环境因素有利于它们在空气中的大量存在，以及是否有可能检测到不同属在其分布模式上的相似性。冗余分析通过斯皮尔曼等级相关性结果提供了有关所研究真菌生物学的更多信息。在典范对应分析中应用方差膨胀因子表明哪些解释变量存在自相关，需要从进一步分析中排除。因此，获得的信息将用于选择未来致敏真菌孢子预测模型的基础因素。
