Evidence map›Paper›PMID 36253489›Full record

ArticleScientific reports2022

Strength-mass scaling law governs mass distribution inside honey bee swarms.

Olga Shishkov, Claudia Chen, Claire Allison Madonna, Kaushik Jayaram, Orit Peleg

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Medical Imaging Technology for Micro/Nanorobots.Nanomaterials (Basel, Switzerland) · 2023
    Review
  2. Ontogeny of collective behaviour.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
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.

Olga ShishkovBiofrontiers Institute, University of Colorado Boulder, Boulder, CO, 80303, USA.
Claudia ChenBiofrontiers Institute, University of Colorado Boulder, Boulder, CO, 80303, USA.
Claire Allison MadonnaBiofrontiers Institute, University of Colorado Boulder, Boulder, CO, 80303, USA.
Kaushik JayaramDepartment of Mechanical Engineering and Department of Biology, University of Colorado Boulder, Boulder, CO, 80303, USA.ORCID 0000-0002-6958-7650
Orit PelegBiofrontiers Institute, University of Colorado Boulder, Boulder, CO, 80303, USA. orit.peleg@colorado.edu.ORCID 0000-0001-9481-7967

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To survive during colony reproduction, bees create dense clusters of thousands of suspended individuals. How does this swarm, which is orders of magnitude larger than the size of an individual, maintain mechanical stability? We hypothesize that the internal structure in the bulk of the swarm, about which there is little prior information, plays a key role in mechanical stability. Here, we provide the first-ever 3D reconstructions of the positions of the bees in the bulk of the swarm using x-ray computed tomography. We find that the mass of bees in a layer decreases with distance from the attachment surface. By quantifying the distribution of bees within swarms varying in size (made up of 4000-10,000 bees), we find that the same power law governs the smallest and largest swarms, with the weight supported by each layer scaling with the mass of each layer to the [Formula: see text] power. This arrangement ensures that each layer exerts the same fraction of its total strength, and on average a bee supports a lower weight than its maximum grip strength. This illustrates the extension of the scaling law relating weight to strength of single organisms to the weight distribution within a superorganism made up of thousands of individuals.

Indexed as

ReproductionAnimalsBees

Identifiers

PMID36253489
PMCPMC9576786

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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.