Spatio‐Temporal Variation in Aerial Arthropod Abundance Revealed by Weather Radars

Arthropod declines have been reported widely; however, a lack of comprehensive data has hindered our ability to assess their large-scale generality and drivers. Here, we used a novel and freely available dataset-atmospheric scans from a network of meteorological radars-to quantify aerial abundance of both diurnal and nocturnal arthropods across the United Kingdom, spanning different geographic regions and land cover types. Based on observations between 2014 and 2021, and across more than 35,000 km<sup>2</sup>, we estimate numbers of arthropods flying over the UK at heights between 500 and 700 m above ground at 1.12 (±0.01) × 10<sup>13</sup> individuals during the diurnal (0800-1400 UTC) and 5.02 (±0.01) × 10<sup>12</sup> during the nocturnal (including dusk, 1800-2200 UTC) period, showing significant spatial heterogeneity. Although spatial patterns differed, both diurnal and nocturnal arthropods increased in the south and declined mainly in the far north; on average, only nocturnal arthropods showed an overall decline. Aerial abundance of both diurnal and nocturnal arthropods showed positive relationships with woodland, grassland, and urban land cover, and negative relationships with artificial light intensity and arable land cover. Our study highlights the importance of spatial variation in temporal biodiversity trends and illustrates the need for comparative studies between nocturnal and diurnal arthropods. Notably, by extracting vertical profiles of radar reflectivity and polarization signatures, we demonstrate how weather radar datasets can be used to quantify aerial arthropod abundance, detect diurnal and seasonal activity patterns, and examine their environmental drivers across large spatial and temporal scales.

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Publication Details

Journal
Global Change Biology
Published
2025-10-01
DOI
https://doi.org/10.1111/gcb.70425
Citations
1
Primary Topic
Impact of Light on Environment and Health
Type
article
Field-Weighted Citation Impact
1.11

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article

Spatio‐Temporal Variation in Aerial Arthropod Abundance Revealed by Weather Radars

Freya I. Addison, C. R. Shortall, Maryna Lukach, Ryan R. Neely et al.
1 citations
Global Change Biology
Impact of Light on Environment and Health
1.11
article

Spatio‐Temporal Variation in Aerial Arthropod Abundance Revealed by Weather Radars

Freya I. Addison, C. R. Shortall, Maryna Lukach, Ryan R. Neely, William E. Kunin, Mansi Mungee, Elizabeth J. Duncan, Lee E. Brown, Christopher Hassall, James R. Bell
article en
1 citations

Abstract

Arthropod declines have been reported widely; however, a lack of comprehensive data has hindered our ability to assess their large-scale generality and drivers. Here, we used a novel and freely available dataset-atmospheric scans from a network of meteorological radars-to quantify aerial abundance of both diurnal and nocturnal arthropods across the United Kingdom, spanning different geographic regions and land cover types. Based on observations between 2014 and 2021, and across more than 35,000 km<sup>2</sup>, we estimate numbers of arthropods flying over the UK at heights between 500 and 700 m above ground at 1.12 (±0.01) × 10<sup>13</sup> individuals during the diurnal (0800-1400 UTC) and 5.02 (±0.01) × 10<sup>12</sup> during the nocturnal (including dusk, 1800-2200 UTC) period, showing significant spatial heterogeneity. Although spatial patterns differed, both diurnal and nocturnal arthropods increased in the south and declined mainly in the far north; on average, only nocturnal arthropods showed an overall decline. Aerial abundance of both diurnal and nocturnal arthropods showed positive relationships with woodland, grassland, and urban land cover, and negative relationships with artificial light intensity and arable land cover. Our study highlights the importance of spatial variation in temporal biodiversity trends and illustrates the need for comparative studies between nocturnal and diurnal arthropods. Notably, by extracting vertical profiles of radar reflectivity and polarization signatures, we demonstrate how weather radar datasets can be used to quantify aerial arthropod abundance, detect diurnal and seasonal activity patterns, and examine their environmental drivers across large spatial and temporal scales.

Global Change BiologyVol. 31(10)
Royal Meteorological Institute of Belgium (BE), University of Leeds (GB), Azim Premji University (IN), Rothamsted Research (GB), National Centre for Atmospheric Science (GB), Keele University (GB)
Bill and Melinda Gates Foundation, UK Research and Innovation, University of Leeds, Directorate for Biological Sciences, Natural Environment Research Council
Openalex Percentile: Top 18%
Impact of Light on Environment and Health
1.11
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