Table · dataset · 2026
Supporting Data: Refocusing Risk: An Updated Approach for Safeguarding Pollinators
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<p dir="ltr"><b>Rationale</b></p><p dir="ltr">Regulatory frameworks have failed to realistically capture how pesticides expose and affect non-target species, resulting in widespread ecological harm.
Description
While science and policy have advanced in characterizing pesticide ‘risk’, these indices remain unvalidated and disconnected from environmental risk assessment (ERA). Here, we identify and validate pesticide risk thresholds by connecting landscape-scale pesticide risk and colony-level outcomes in the bee species <i>Bombus terrestris</i> to provide: (1) a basis for post-approval pesticide monitoring with feedback to ERA, and (2) a suggestion for how to facilitate simplified, yet realistic and protective, pesticide approval process.</p><p><br></p><p dir="ltr"><b>Study design</b></p><p dir="ltr">We conducted a semi-field experiment with 120 <i>Bombus terrestris</i> colonies (Biobest Biological Systems, Belgium), allocated to twelve treatments based on initial colony weight.
Colonies, all containing a natal queen and 25–40 workers, were fed pesticide-treated sugar syrup and pollen, housed in ventilated boxes at the edge of a red clover field, and allowed to forage naturally after initial exposure. Colony growth was monitored weekly as a proxy for worker force and brood production, foraging activity was recorded via repeated 10-minute observations, and reproductive output was assessed at the end of six weeks by dissecting colonies to count worker, male, and queen cocoons.
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Data were used to assess dose-response relationships and validate the predictive value of the pesticide risk metric at the colony level. No ethical approvals were required, and landowner permission was obtained.</p>
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Where it is published
- DOI doi.org/10.6084/m9.figshare.31211641.v1 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
- From keywords
- Astronomy & Astrophysics · Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Medicine & Health · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Ecological applications 73%
Provenance · 1 source records, 17 field assertions
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|---|---|---|---|
| figshare | oai:figshare.com:article/31211641 | 10 d ago | JSON v1 |
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|---|---|---|---|
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