Evidence map›Paper›PMID 39438449›Full record

ArticleNature communications2024

The impact of landscape structure on pesticide exposure to honey bees.

Shumpei Hisamoto, Makihiko Ikegami, Koichi Goka, Yoshiko Sakamoto

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Shumpei HisamotoNational Institute for Environmental Studies, Tsukuba, Ibaraki, Japan.ORCID 0000-0002-7855-7621
Makihiko IkegamiNational Institute for Environmental Studies, Tsukuba, Ibaraki, Japan.ORCID 0000-0002-7760-7973
Koichi GokaNational Institute for Environmental Studies, Tsukuba, Ibaraki, Japan.ORCID 0000-0001-9061-2403
Yoshiko SakamotoNational Institute for Environmental Studies, Tsukuba, Ibaraki, Japan. sakamoto.yoshiko@nies.go.jp.ORCID 0000-0002-6026-242X

Funding

MEXT | Japan Society for the Promotion of Science (JSPS) JP20H00425
6 · The paper itself

Abstract

Pesticides may have serious negative impacts on bee populations. The pesticide exposure of bees could depend on the surrounding landscapes in which they forage. In this study, we assess pesticide exposure across various land-use categories, while targeting the Japanese honey bee, Apis cerana japonica, a native subspecies of the eastern honey bee. In a project involving public participation, we measured the concentrations of major pesticides in honey and beeswax collected from 175 Japanese honey bee colonies across Japan and quantitatively analyzed the relationships between pesticide presence/absence or pesticide concentration and land-use categories around the colonies. Our findings revealed that the surrounding environment in which bees live strongly influences pesticide residues in beehive materials, whether the pesticides are systemic or not, with a clear trend for each land-use category. Agricultural lands, particularly paddy fields and orchards, and urban areas resulted in higher pesticide exposure, whereas forests presented a lower risk of exposure. To effectively control pesticide exposure levels in bees, it is essential to understand pesticide usage patterns and to develop appropriate regulatory systems in non-agricultural lands, similar to those in agricultural lands.

Indexed as

AgricultureHoneyPesticidesAnimalsBeesEnvironmental ExposureEnvironmental MonitoringForestsJapanPesticide ResiduesWaxesbeeswaxPesticide ResiduesPesticidesWaxes

Identifiers

PMID39438449
PMCPMC11496668

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.