2017
DOI: 10.1007/s10453-017-9493-3
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A comparative study of hourly and daily relationships between selected meteorological parameters and airborne fungal spore composition

Abstract: Air sampling was conducted in Szczecin (Poland) throughout April–September 2013. The final data set included 177 daily and 4248 hourly samples. The total of 21 types of spores, which occurred in a number >10 in the season, were taken into account. The following meteorological parameters were analyzed: air temperature, relative humidity, precipitation and wind speed. Effects of individual weather parameters on hourly and daily concentrations of different fungal spore types were examined using Spearman’s rank as… Show more

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Cited by 41 publications
(25 citation statements)
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References 24 publications
(52 reference statements)
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“…Adding further granularity to these observations, we draw positive correlations with the maximum and mean temperatures on the day of sampling, and also the day before sampling. Wind also appears to play a role in the spread of fungal spores (Grinn-Gofrońet al, 2018). Here we identified a negative correlation between wind speed and fungal CFUs.…”
Section: Discussionsupporting
confidence: 58%
“…Adding further granularity to these observations, we draw positive correlations with the maximum and mean temperatures on the day of sampling, and also the day before sampling. Wind also appears to play a role in the spread of fungal spores (Grinn-Gofrońet al, 2018). Here we identified a negative correlation between wind speed and fungal CFUs.…”
Section: Discussionsupporting
confidence: 58%
“…Also, the range of dispersion that spores reach is strongly influenced by the characteristics of the landscape (whether this is natural or anthropogenic modified) at both regional and local scales [ 75 ]. The presence and distribution of fungal communities—and therefore their spores- are influenced by climatic ([ 76 , 77 ] and reference therein) and meteorological conditions as well [ 78 81 ]. Mean air temperature, relative humidity and wind speed are known to be factors shaping the spore distribution of Alternaria , Cladosporium , Drechslera -type, Epicoccum and Torula [ 82 ].…”
Section: Discussionmentioning
confidence: 99%
“…Positive or negative correlations were further strengthened, except for the correlations for ventilation rate vs. temperature, ventilation rate vs. relative humidity, and ventilation rate vs. ammonia emission. These stronger negative correlations may be the result of bias reduction due to increased temporal resolution (Table S1) [42,43]. Figure 6 shows the relationships between ammonia emission and ammonia concentration and ammonia emission and ventilation rate, both of which were highly correlated.…”
Section: Correlation Analysismentioning
confidence: 99%