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Effects of meteorological factors on the composition of selected fungal spores in the air

机译:气象因素对空气中某些真菌孢子组成的影响

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摘要

The aim of the study was to determine functional relationships between composition of air spora and meteorological factors, using multivariate statistical technique: canonical correspondence analysis (CCA). Analyses were conducted for the data collected during the 4 year (2007-2010) and, in order to show the dynamics of such relationships, for each year separately. The CCA results indicated that all statistically significant variables accounted for 15.3 % of the total variance in the spore data in the 4 years. The largest amount of the total variance was explained in this period by the mean air temperature (9.2 %). The meteorological factors impacted spore composition differently in different years, when analysis was done for each year separately. The highest values of the total variance in the spore data, explained by the statistically significant variables, were found in 2010 (32.3 %), with the highest contribution of mean air temperature (23.8 %). In that year, the above-mentioned parameter had the lowest value in comparison to other years. Canonical correspondence analysis provides not only a comprehensive assessment of the impact of meteorological factors on specific spore combinations in the air, but also informative graphical presentations of the results, illustrating the correlation between the occurrence of particular spore taxa and meteorological variables.
机译:该研究的目的是使用多元统计技术:规范对应分析(CCA)来确定空气散发物成分与气象因素之间的功能关系。为了对这4年(2007-2010年)中收集到的数据进行分析,为了显示这种关系的动态,分别对每年进行了分析。 CCA结果表明,在4年中,所有具有统计意义的变量占孢子数据总方差的15.3%。在此期间,最大的总方差由平均气温(9.2%)解释。当每年分别进行分析时,气象因素在不同年份对孢子组成的影响不同。由统计上显着的变量解释,在孢子数据中总方差的最高值出现在2010年(32.3%),平均气温贡献最大(23.8%)。与该年相比,该年的上述参数值最低。典型的对应分析不仅可以全面评估气象因素对空气中特定孢子组合的影响,还可以提供图形化的结果图表,说明特定孢子类群的发生与气象变量之间的相关性。

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