Evidence map›Paper›PMID 28978748›Full record

ArticleJournal of the Royal Society, Interface2017

Spatial organization and interactions of harvester ants during foraging activity.

Jacob D Davidson, Deborah M Gordon

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. The life history of harvester ant colonies.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Measuring collective behavior: an ecological approach.Theory in biosciences = Theorie in den Biowissenschaften · 2021
    Article
  8. Movement, Encounter Rate, and Collective Behavior in Ant Colonies.Annals of the Entomological Society of America · 2021
    Article
  9. Article
  10. Systems Neuroscience of Natural Behaviors in Rodents.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Architecture, space and information in constructions built by humans and social insects: a conceptual review.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    Review
  16. How ants move: individual and collective scaling properties.Journal of the Royal Society, Interface · 2018
    Article
  17. Article
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

2 authors.

Jacob D DavidsonDepartment of Collective Behavior, Max Planck Institute for Ornithology, Konstanz, Germany jdavidson@orn.mpg.de.ORCID 0000-0001-9206-085X
Deborah M GordonDepartment of Biology, Stanford University, Stanford, CA, USA.ORCID 0000-0002-1090-9539

Funding

Stochastic integrator models of collective decision-makingR01GM105024 · NIGMS · STANFORD UNIVERSITY · PI GOLDMAN, MARK S, GORDON, DEBORAH M · 2013 to 2015
$607k
NIGMS NIH HHS R01 GM105024
6 · The paper itself

Abstract

Local interactions, when individuals meet, can regulate collective behaviour. In a system without any central control, the rate of interaction may depend simply on how the individuals move around. But interactions could in turn influence movement; individuals might seek out interactions, or their movement in response to interaction could influence further interaction rates. We develop a general framework to address these questions, using collision theory to establish a baseline expected rate of interaction based on proximity. We test the models using data from harvester ant colonies. A colony uses feedback from interactions inside the nest to regulate foraging activity. Potential foragers leave the nest in response to interactions with returning foragers with food. The time series of interactions and local density of ants show how density hotspots lead to interactions that are clustered in time. A correlated random walk null model describes the mixing of potential and returning foragers. A model from collision theory relates walking speed and spatial proximity with the probability of interaction. The results demonstrate that although ants do not mix homogeneously, trends in interaction patterns can be explained simply by the walking speed and local density of surrounding ants.

Indexed as

Models, BiologicalAnimalsAntsBehavior, Animalcollective behaviourcollision theoryinteractionspatial organization

Identifiers

PMID28978748
PMCPMC5665826

What OpenQuestion holds

Textmetadata
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.