PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 3, 2026SHILAP Revista de lepidopterología0 citationsOpen Access

Environmental factors associated with variation in airborne pollen concentrations revealed by automated aerobiological measurements

AŽAušrinė ŽUKAUSKAITĖLŠLaura ŠukienėIŠIngrida Šaulienė

Key Points

  • This research investigates how meteorological factors and air pollution influence airborne pollen concentrations.
  • Analyzed pollen concentration data from 2022 to 2024 for various plant taxa using automated bioaerosol measurement devices.
  • Examined correlations between pollen seasonality and meteorological variables along with air pollution levels.
  • Utilized a 40-day pre-season window to assess the impact of weather conditions on pollen dynamics.
  • Betulaceae pollen season started earlier but was shorter than Poaceae, averaging 82 days compared to 93 days.
  • Observed a general increase in pollen concentrations from 2022 to 2024.
  • Identified significant positive correlations between air temperature and Betula pollen concentrations, and negative correlations with relative humidity.

Abstract

The impact of meteorological factors and air pollution on the dynamics of allergenic pollen dispersal was investigated in this study using automated monitoring data. In 2022-2024, pollen concentration data for Alnus, Betula, Corylus, and Poaceae collected in Vilnius (Lithuania) using an automated bioaerosol measurement device were applied to analyse not only pollen seasonality (start, end, and length) but also correlations with meteorological variables and air pollution. A 40-day pre-season window was used to investigate the effects of pre-season meteorological conditions on changes in pollen concentration and seasonality. The study revealed that the Betulaceae family (including Alnus, Betula, Corylus) pollen season started earlier than the Poaceae family, but was shorter (82 days on average), while the Poaceae family had the longest season (93 days on average). Pollen concentrations increased between 2022 and 2024. The study found statistically significant positive correlations linking air temperature and hourly pollen concentrations (Betula: r = 0.39 to 0.62, p < 0.01; weaker with other pollen types) and negative correlations with relative air humidity (Betula: r = −0.47 to −0.67, p < 0.01; weaker with other pollen types), while the effect of precipitation, wind direction and wind speed was mostly statistically weak. With respect to Betula and Corylus, pre-season meteorological conditions with higher air temperatures and lower relative humidity were associated with higher pollen concentrations, and for Corylus and Poaceae, they were associated with a longer season. Air pollution analysis revealed that pollen concentrations were more often positively correlated with PM, NOx and CO, but these relationships were not unidirectional and depended on plant taxa. This study enables automated pollen monitoring data to reveal relevant aspects of the statistical analysis of meteorological parameters and air pollution, as well as the dynamics of airborne pollen concentration.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

ŽUKAUSKAITĖ et al. (2026) studied this question.

synapsesocial.com/papers/69cf59315a333a8214609d64https://doi.org/10.15835/nbha54115072
Ask AI
Helpful
Bookmark
Share
View Full Paper