Evidence map›Paper›PMID 41838906›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Mechanics of dust bathing in birds.

Po-Lin Kuo, Guan-Yu Chen, Yu-Chia Fan, Wing-Ying Wan, Patricia J Yang

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Po-Lin KuoDepartment of Power Mechanical Engineering, National Tsing Hua University, Hsinchu 300044, Taiwan.
Guan-Yu ChenDepartment of Power Mechanical Engineering, National Tsing Hua University, Hsinchu 300044, Taiwan.
Yu-Chia FanDepartment of Power Mechanical Engineering, National Tsing Hua University, Hsinchu 300044, Taiwan.
Wing-Ying WanDepartment of Power Mechanical Engineering, National Tsing Hua University, Hsinchu 300044, Taiwan.
Patricia J YangDepartment of Power Mechanical Engineering, National Tsing Hua University, Hsinchu 300044, Taiwan.ORCID 0000-0002-9274-7042

Funding

The Ministry of Education MOE-110-YSFEE-0002-003-P1
6 · The paper itself

Abstract

Dust bathing is a widespread behavior among birds that helps remove ectoparasites, but its mechanical basis remains poorly understood. Here we show that wing flapping during dust bathing generates sand-particle collisions sufficient to dislodge feather mites. Using high-speed video analysis across 34 bird species, we found that wing-flapping frequency scales inversely with body mass ([Formula: see text]), ranging from 1 to 10 Hz. Since feather motion matches wing motion, we use mechanical shakers to simulate dust-bathing dynamics. Mite-removal experiments reveal that parasite dislodgment efficiency increases rapidly up to around 5 Hz and plateaued thereafter. The frequencies around 5 Hz are sufficient to achieve maximal cleaning efficacy. Collision modeling indicates that the impact force from sand particles exceeds mite adhesion forces, thus collision is the dominant removal mechanism. Mites are removed within seconds when sand is present, suggesting that sand plays an active mechanical role in parasite dislodgment. These findings not only elucidate a physical mechanism underlying dust bathing, but also suggest that birds may have evolutionarily tuned their flapping behavior to optimize parasite removal through substrate interaction.

Indexed as

BirdsDustWings, AnimalAnimalsBiomechanical PhenomenaFeathersMitesSandDustSandeco-friendly cleaningectoparasite removalflapping frequency

Identifiers

PMID41838906
PMCPMC13012020

What OpenQuestion holds

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Registered trials

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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.