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Spatio-Temporal Variation in Aerial Arthropod Abundance Revealed by Weather Radars
Mansi Mungee1,2, Maryna Lukach3,4,5, Chris Shortall6
1School of Geography and Water@Leeds, Faculty of Environment, University of Leeds, Leeds, UK.
Global Change Biology
|October 27, 2025
Summary
Aerial arthropod abundance was quantified using weather radar data across the UK. Nocturnal arthropods showed an overall decline, influenced by land cover and light pollution.
Area of Science:
- Ecology
- Environmental Science
- Biodiversity Monitoring
Background:
- Widespread arthropod declines are reported, but large-scale data on generality and drivers are lacking.
- Assessing aerial arthropod populations requires robust, large-scale monitoring methods.
Purpose of the Study:
- To quantify aerial arthropod abundance across the UK using meteorological radar data.
- To investigate spatial heterogeneity and environmental drivers of diurnal and nocturnal arthropod populations.
- To demonstrate the utility of weather radar for large-scale biodiversity assessment.
Main Methods:
- Utilized a novel dataset of atmospheric scans from meteorological radars across the UK (2014-2021).
- Quantified aerial arthropod abundance at 500-700m above ground for diurnal and nocturnal periods.
- Analyzed spatial patterns and relationships with land cover types and artificial light intensity.
Main Results:
- Estimated 1.12 × 10^13 diurnal and 5.02 × 10^12 nocturnal arthropods flying over the UK.
- Observed significant spatial heterogeneity, with increases in the south and declines in the north.
- Nocturnal arthropods showed an overall decline; both types positively correlated with woodland/grassland/urban areas and negatively with arable land/light intensity.
Conclusions:
- Weather radar is a powerful tool for quantifying aerial arthropod abundance and activity patterns at large scales.
- Spatial variation is crucial for understanding temporal biodiversity trends.
- Comparative studies of diurnal and nocturnal arthropods are essential for comprehensive biodiversity monitoring.
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