Turning the tables: a tiny bird uses alarm calls and mimicry to deceive its nest predator

Animals often eavesdrop on other species' alarm calls to gain information about danger, but this can allow for deception by callers. Such deception often uses 'aerial' alarm calls, which normally warn of airborne predators and prompt immediate fleeing. The calls are deceptive if they are given when no flying predator is present and the caller benefits from the victim's response, typically by gaining food dropped when the listener flees. We studied deceptive alarm calling by brown thornbills, <i>Acanthiza pusilla</i>, defending offspring against predatory pied currawongs, <i>Strepera graculina</i>. Thornbills give their own and mimetic aerial alarm calls when defending nestlings against currawongs, who are fooled into scanning for danger or flying away. We tested whether deception works by exploiting the predator's response to aerial alarm calls, and what role mimicry plays. Currawongs were more likely to flee, and delayed feeding longer, after playback of purely aerial compared with purely mobbing alarm choruses. They responded the same regardless of what type of mimetic alarm followed the thornbill's aerial alarm. We conclude that vocal deception is effective because it exploits currawong response according to call meaning, while mimicry likely creates an illusion of a multi-species alarm chorus.

Authors

Institutions

Publication Details

Journal
Biology Letters
Published
2025-03-01
DOI
https://doi.org/10.1098/rsbl.2024.0710
Citations
1
Primary Topic
Animal Vocal Communication and Behavior
Type
article
Field-Weighted Citation Impact
1.64

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Turning the tables: a tiny bird uses alarm calls and mimicry to deceive its nest predator

Robert D. Magrath, Branislav Igic, Lauren Ascah
1 citations
Biology Letters
Animal Vocal Communication and Behavior
1.64
article

Turning the tables: a tiny bird uses alarm calls and mimicry to deceive its nest predator

Robert D. Magrath, Branislav Igic, Lauren Ascah
article en
1 citations

Abstract

Animals often eavesdrop on other species' alarm calls to gain information about danger, but this can allow for deception by callers. Such deception often uses 'aerial' alarm calls, which normally warn of airborne predators and prompt immediate fleeing. The calls are deceptive if they are given when no flying predator is present and the caller benefits from the victim's response, typically by gaining food dropped when the listener flees. We studied deceptive alarm calling by brown thornbills, <i>Acanthiza pusilla</i>, defending offspring against predatory pied currawongs, <i>Strepera graculina</i>. Thornbills give their own and mimetic aerial alarm calls when defending nestlings against currawongs, who are fooled into scanning for danger or flying away. We tested whether deception works by exploiting the predator's response to aerial alarm calls, and what role mimicry plays. Currawongs were more likely to flee, and delayed feeding longer, after playback of purely aerial compared with purely mobbing alarm choruses. They responded the same regardless of what type of mimetic alarm followed the thornbill's aerial alarm. We conclude that vocal deception is effective because it exploits currawong response according to call meaning, while mimicry likely creates an illusion of a multi-species alarm chorus.

Biology LettersVol. 21(3)
Australian National University (AU)
Australian National University, Australian Research Council
Openalex Percentile: Top 20%
Animal Vocal Communication and Behavior
1.64
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.