Evidence map›Paper›PMID 28758093›Full record

ArticleFrontiers in ecology and evolution2016

Effect of Interactions between Harvester Ants on Forager Decisions.

Jacob D Davidson, Roxana P Arauco-Aliaga, Sam Crow, Deborah M Gordon, Mark S Goldman

Open access · goldAbstract read
In one paragraph

Article in Frontiers in ecology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
5.1field-weighted citation impact, top 5% of its field
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

29 citing papers in PubMed, 63 citations in OpenAlex.

  1. Article
  2. Article
  3. Foraging ants as liquid brains: Movement heterogeneity shapes collective efficiency.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Review
  5. The life history of harvester ant colonies.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Conserved autism-associated genes tune social feeding behavior inbioRxiv : the preprint server for biology · 2023
    Article
  10. Article
  11. Article
  12. The red harvester ant.Nature methods · 2022
    Article
  13. Article
  14. Measuring collective behavior: an ecological approach.Theory in biosciences = Theorie in den Biowissenschaften · 2021
    Article
  15. Movement, Encounter Rate, and Collective Behavior in Ant Colonies.Annals of the Entomological Society of America · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors at 3 institutions in 1 country.

Jacob D DavidsonCenter for Neuroscience, University of California, Davis, Davis, CA, USA.
Roxana P Arauco-AliagaDepartment of Biology, Stanford University, Palo Alto, CA, USA.
Sam CrowDepartment of Computer Science and Engineering, University of Washington, Seattle, WA, USA.
Deborah M GordonDepartment of Biology, Stanford University, Palo Alto, CA, USA.
Mark S GoldmanCenter for Neuroscience, University of California, Davis, Davis, CA, USA.
Palo Alto University · USUniversity of California, Davis · USUniversity of Washington · US

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

Harvester ant colonies adjust their foraging activity to day-to-day changes in food availability and hour-to-hour changes in environmental conditions. This collective behavior is regulated through interactions, in the form of brief antennal contacts, between outgoing foragers and returning foragers with food. Here we consider how an ant, waiting in the entrance chamber just inside the nest entrance, uses its accumulated experience of interactions to decide whether to leave the nest to forage. Using videos of field observations, we tracked the interactions and foraging decisions of ants in the entrance chamber. Outgoing foragers tended to interact with returning foragers at higher rates than ants that returned to the deeper nest and did not forage. To provide a mechanistic framework for interpreting these results, we develop a decision model in which ants make decisions based upon a noisy accumulation of individual contacts with returning foragers. The model can reproduce core trends and realistic distributions for individual ant interaction statistics, and suggests possible mechanisms by which foraging activity may be regulated at an individual ant level.

Indexed as

collective behaviordecision-makingintegratorsequential sampling modelstochastic accumulator

Identifiers

PMID28758093
PMCPMC5531068
OpenAlexW2529116060

What OpenQuestion holds

Textmetadata
LicenceTDM
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.