Evidence map›Paper›PMID 34255987›Full record

ArticleJournal of the Royal Society, Interface2021

Uncertainty drives deviations in normative foraging decision strategies.

Zachary P Kilpatrick, Jacob D Davidson, Ahmed El Hady

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Acetylcholine and noradrenaline enhance foraging optimality in humans.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. 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

3 authors.

Zachary P KilpatrickDepartment of Applied Mathematics, University of Colorado, Boulder, CO 80309, USA.
Jacob D DavidsonDepartment of Collective Behaviour, Max Planck Institute of Animal Behavior, 78464 Konstanz, Germany.
Ahmed El HadyPrinceton Neuroscience Institute, Princeton University, Princeton, NJ 08540, USA.

Funding

CRCNS: Decision Making in Changing EnvironmentsR01MH115557 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GOLD, JOSHUA I, JOSIC, KRESIMIR · 2017 to 2020
$1.6M
Functional ultrasound imaging during cognitive tasks in freely moving rodentsR21MH121889 · NIMH · PRINCETON UNIVERSITY · PI BRODY, CARLOS D · 2020 to 2021
$415k
NIMH NIH HHS R01 MH115557NIMH NIH HHS R21 MH121889
6 · The paper itself

Abstract

Nearly all animals forage to acquire energy for survival through efficient search and resource harvesting. Patch exploitation is a canonical foraging behaviour, but there is a need for more tractable and understandable mathematical models describing how foragers deal with uncertainty. To provide such a treatment, we develop a normative theory of patch foraging decisions, proposing mechanisms by which foraging behaviours emerge in the face of uncertainty. Our model foragers statistically and sequentially infer patch resource yields using Bayesian updating based on their resource encounter history. A decision to leave a patch is triggered when the certainty of the patch type or the estimated yield of the patch falls below a threshold. The time scale over which uncertainty in resource availability persists strongly impacts behavioural variables like patch residence times and decision rules determining patch departures. When patch depletion is slow, as in habitat selection, departures are characterized by a reduction of uncertainty, suggesting that the forager resides in a low-yielding patch. Uncertainty leads patch-exploiting foragers to overharvest (underharvest) patches with initially low (high) resource yields in comparison with predictions of the marginal value theorem. These results extend optimal foraging theory and motivate a variety of behavioural experiments investigating patch foraging behaviour.

Indexed as

EcosystemFeeding BehaviorAnimalsBayes TheoremModels, TheoreticalUncertaintydecision-makingevidence accumulationforagingnormative theory

Identifiers

PMID34255987
PMCPMC8277480

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.