Evidence map›Paper›PMID 30967077›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2019

Variation in multicomponent recognition cues alters egg rejection decisions: a test of the optimal acceptance threshold hypothesis.

Daniel Hanley, Analía V López, Vanina D Fiorini, Juan C Reboreda, Tomáš Grim, Mark E Hauber

Abstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2019. 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
–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

22 citing papers in PubMed.

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  15. Signal detection and optimal acceptance thresholds in avian brood parasite-host systems: implications for egg rejection.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Review
  16. Avian egg and nestling detection in the wild: should we rely on visual models or behavioural experiments?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
  17. Signal detection, acceptance thresholds and the evolution of animal recognition systems.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
  18. The evolution of conspecific acceptance threshold models.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Review
  19. Complex signals alter recognition accuracy and conspecific acceptance thresholds.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
  20. Evolutionarily stable investments in recognition systems explain patterns of discrimination failure and success.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    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

6 authors.

Daniel Hanley1 Department of Biology, Long Island University - Post , Brookville, NY 11548 , USA.
Analía V López2 Departamento de Ecología, Genética y Evolución, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires , C1428EGA Buenos Aires , Argentina.
Vanina D Fiorini2 Departamento de Ecología, Genética y Evolución, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires , C1428EGA Buenos Aires , Argentina.
Juan C Reboreda2 Departamento de Ecología, Genética y Evolución, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires , C1428EGA Buenos Aires , Argentina.
Tomáš Grim4 Department of Zoology, Laboratory of Ornithology, Palacký University , Olomouc 77146 , Czech Republic.
Mark E Hauber5 Department of Animal Biology, School of Integrative Biology, University of Illinois at Urbana-Champaign , Urbana, IL 61801 , USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The optimal acceptance threshold hypothesis provides a general predictive framework for testing behavioural responses to discrimination challenges. Decision-makers should respond to a stimulus when the perceived difference between that stimulus and a comparison template surpasses an acceptance threshold. We tested how individual components of a relevant recognition cue (experimental eggs) contributed to behavioural responses of chalk-browed mockingbirds, Mimus saturninus, a frequent host of the parasitic shiny cowbird, Molothrus bonariensis. To do this, we recorded responses to eggs that varied with respect to two components: colour, ranging from bluer to browner than the hosts' own eggs, and spotting, either spotted like their own or unspotted. Although tests of this hypothesis typically assume that decisions are based on perceived colour dissimilarity between own and foreign eggs, we found that decisions were biased toward rejecting browner eggs. However, as predicted, hosts tolerated spotted eggs more than unspotted eggs, irrespective of colour. These results uncover how a single component of a multicomponent cue can shift a host's discrimination threshold and illustrate how the optimal acceptance threshold hypothesis can be used as a framework to quantify the direction and amount of the shift (in avian perceptual units) of the response curve across relevant phenotypic ranges. This article is part of the theme issue 'The coevolutionary biology of brood parasitism: from mechanism to pattern'.

Indexed as

Color PerceptionCuesNesting BehaviorAnimalsColorDecision MakingOvumRecognition, PsychologySongbirdsacceptance thresholdbrood parasitismcolour perceptionegg recognition

Identifiers

PMID30967077
PMCPMC6388043

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.