Evidence map›Paper›PMID 30513076›Full record

ArticlePLoS computational biology2018

Regulation of harvester ant foraging as a closed-loop excitable system.

Renato Pagliara, Deborah M Gordon, Naomi Ehrich Leonard

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Article
  3. 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. Article
  10. The red harvester ant.Nature methods · 2022
    Article
  11. Article
  12. Article
  13. Measuring collective behavior: an ecological approach.Theory in biosciences = Theorie in den Biowissenschaften · 2021
    Article
  14. Movement, Encounter Rate, and Collective Behavior in Ant Colonies.Annals of the Entomological Society of America · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Individual and collective encoding of risk in animal groups.Proceedings of the National Academy of Sciences of the United States of America · 2019
    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

3 authors at 2 institutions in 1 country.

Renato PagliaraDepartment of Mechanical and Aerospace Engineering, Princeton University, Princeton, New Jersey, United States of America.ORCID 0000-0001-5518-7317
Deborah M GordonDepartment of Biology, Stanford University, Stanford, California, United States of America.
Naomi Ehrich LeonardDepartment of Mechanical and Aerospace Engineering, Princeton University, Princeton, New Jersey, United States of America.ORCID 0000-0002-5328-3871
Princeton University · USStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ant colonies regulate activity in response to changing conditions without using centralized control. Desert harvester ant colonies forage for seeds, and regulate foraging to manage a tradeoff between spending and obtaining water. Foragers lose water while outside in the dry air, but ants obtain water by metabolizing the fats in the seeds they eat. Previous work shows that the rate at which an outgoing forager leaves the nest depends on its recent rate of brief antennal contacts with incoming foragers carrying food. We examine how this process can yield foraging rates that are robust to uncertainty and responsive to temperature and humidity across minute-to-hour timescales. To explore possible mechanisms, we develop a low-dimensional analytical model with a small number of parameters that captures observed foraging behavior. The model uses excitability dynamics to represent response to interactions inside the nest and a random delay distribution to represent foraging time outside the nest. We show how feedback from outgoing foragers returning to the nest stabilizes the incoming and outgoing foraging rates to a common value determined by the volatility of available foragers. The model exhibits a critical volatility above which there is sustained foraging at a constant rate and below which foraging stops. To explain how foraging rates adjust to temperature and humidity, we propose that foragers modify their volatility after they leave the nest and become exposed to the environment. Our study highlights the importance of feedback in the regulation of foraging activity and shows how modulation of volatility can explain how foraging activity responds to conditions and varies across colonies. Our model elucidates the role of feedback across many timescales in collective behavior, and may be generalized to other systems driven by excitable dynamics, such as neuronal networks.

Indexed as

Animal CommunicationAnimalsAntsBehavior, AnimalComputer SimulationFeeding BehaviorHumidityModels, BiologicalSocial BehaviorTemperature

Identifiers

PMID30513076
PMCPMC6294393
OpenAlexW2952908279

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.