A risk based pollination network for non-Apis bees demonstrates the importance of understory plant contamination

Understanding the distribution of pesticides in the floral landscape is critical for land managers and regulators, particularly since identifying where exposure occurs is critical to pesticide mitigation. In this study, we developed a bee-plant network for a commercial sweet cherry (Prunus avium L.) system and the surrounding unmanaged floral habitat. We estimated the pesticide contamination of flowering plants in this network by trapping pollen from honey bee colonies, identifying the plant species of origin of the pollen, and relating this to the non-Apis bee visitation and toxicity of pesticide detections. Over 90 plant-bee interactions from non-Apis species were matched with honey bee collected pollen. By combining bee visitation and pollen data, we attributed the pesticide hazard to 33 plant genera. Unlike previous studies, we observed the greatest hazard to non-Apis bees did not come from visits to the crop or from pesticide drift off the orchard, but from contamination of an orchard understory plant (genus Taraxacum). The importance of this plant in pesticide exposure was related to both the hazard of the pollen and the frequency of visitation by non-Apis bees. Our findings caution against generalizing how non-Apis bee species become exposed to pesticides.

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Publication Details

Journal
Scientific Reports
Published
2025-04-25
DOI
https://doi.org/10.1038/s41598-025-99244-w
Primary Topic
Plant and animal studies
Type
article
Field-Weighted Citation Impact
0.00

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article

A risk based pollination network for non-Apis bees demonstrates the importance of understory plant contamination

Lincoln R. Best, Emily A. Carlson, Andony Melathopoulos, Saeed Mohamadzade Namin et al.
Scientific Reports
Plant and animal studies
article

A risk based pollination network for non-Apis bees demonstrates the importance of understory plant contamination

Lincoln R. Best, Emily A. Carlson, Andony Melathopoulos, Saeed Mohamadzade Namin, Ramesh R. Sagili
article en

Abstract

Understanding the distribution of pesticides in the floral landscape is critical for land managers and regulators, particularly since identifying where exposure occurs is critical to pesticide mitigation. In this study, we developed a bee-plant network for a commercial sweet cherry (Prunus avium L.) system and the surrounding unmanaged floral habitat. We estimated the pesticide contamination of flowering plants in this network by trapping pollen from honey bee colonies, identifying the plant species of origin of the pollen, and relating this to the non-Apis bee visitation and toxicity of pesticide detections. Over 90 plant-bee interactions from non-Apis species were matched with honey bee collected pollen. By combining bee visitation and pollen data, we attributed the pesticide hazard to 33 plant genera. Unlike previous studies, we observed the greatest hazard to non-Apis bees did not come from visits to the crop or from pesticide drift off the orchard, but from contamination of an orchard understory plant (genus Taraxacum). The importance of this plant in pesticide exposure was related to both the hazard of the pollen and the frequency of visitation by non-Apis bees. Our findings caution against generalizing how non-Apis bee species become exposed to pesticides.

Scientific ReportsVol. 15(1)
Oregon State University (US)
National Science Foundation, Oregon State University, Foundation for Food and Agriculture Research, Natural Resources Conservation Service
Zero hunger
Openalex Percentile: Top 93%
Plant and animal studies
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