Evidence map›Paper›PMID 39455452›Full record

ArticleAnimal cognition2024

Measuring self-control in a wild songbird using a spatial discounting task.

Ella McCallum, Rachael C Shaw

Abstract read
In one paragraph

Article in Animal cognition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Ella McCallumSchool of Biological Sciences, Te Herenga Waka Victoria University of Wellington, Wellington, New Zealand. ella-mccallum@outlook.com.ORCID http://orcid.org/0009-0002-6236-4611
Rachael C ShawSchool of Biological Sciences, Te Herenga Waka Victoria University of Wellington, Wellington, New Zealand.ORCID http://orcid.org/0000-0002-4831-8283

Funding

Royal Society Te Apārangi RDF-16-VUW-002Victoria University of Wellington Wellington Doctoral Scholarship
6 · The paper itself

Abstract

Self-control allows animals to resist instant gratification and invest more time and/or energy in better outcomes. However, widespread temporal self-control tasks lack ecological validity for many species, and few studies have explored whether self-control can be measured in the wild. We used a spatial discounting task resembling natural foraging decisions to measure self-control in wild toutouwai (Petroica longipes), a songbird endemic to New Zealand. Birds chose between a near, low-quality food item and a high-quality food item further away. Toutouwai showed striking individual variation in their self-control abilities. Validation tests suggested that our task reliably measured self-control in a spatial foraging context. However, individual-level performance was confounded by food preferences and the satiation and/or learning effects associated with increasing trial number, limiting the applicability of this task as a measure of individual variation in self-control. Nonetheless, we found no correlation between an individual's self-control and their inhibitory control measured using a detour task, suggesting that self-control is a distinct ability from the suppression of impulsive motor actions in toutouwai. This study demonstrates for the first time that a bird is capable of self-control in a spatial context and provides suggestions for how future researchers may robustly quantify individual differences in self-control in the wild.

Indexed as

Self-ControlSongbirdsAnimalsChoice BehaviorFemaleMaleNew ZealandDelay of gratificationInhibitory controlIntertemporal choiceSelf-controlSpatial discountingSpatiotemporal choice

Identifiers

PMID39455452
PMCPMC11511709

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.