Signal evolution in prey recognition systems

Marcio R. Pie

doi:10.1016/j.beproc.2004.11.001

Signal evolution in prey recognition systems

Marcio R. Pie

Biology

Research output: Contribution to journal › Article (journal) › peer-review

7 Citations (Scopus)

Abstract

In this paper a graphical model first developed in the context of kin recognition is adapted to the study of signalling in predator-prey systems. Antipredation strategies are envisioned as points along a signal-to-noise (S/N) axis, with concealing (low S/N) and conspicuous (high S/N) strategies being placed at opposite sides of this axis. Optimal prey recognition systems should find a trade-off between acceptance errors (going after a background cue as if it were a prey) and rejection errors (not going after a prey as if it were background noise). The model also predicts the types of cues the predator should use in opposite sides of the S/N axis.

Original language	English
Pages (from-to)	47-50
Number of pages	4
Journal	Behavioural Processes
Volume	68
Issue number	1
DOIs	https://doi.org/10.1016/j.beproc.2004.11.001
Publication status	Published - 31 Jan 2005

Keywords

Aposematism
Camouflage
Crypsis
Mimicry
Signal-to-noise ratio

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10.1016/j.beproc.2004.11.001

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@article{132e399dc6ee4a47816f556663c27ce6,

title = "Signal evolution in prey recognition systems",

abstract = "In this paper a graphical model first developed in the context of kin recognition is adapted to the study of signalling in predator-prey systems. Antipredation strategies are envisioned as points along a signal-to-noise (S/N) axis, with concealing (low S/N) and conspicuous (high S/N) strategies being placed at opposite sides of this axis. Optimal prey recognition systems should find a trade-off between acceptance errors (going after a background cue as if it were a prey) and rejection errors (not going after a prey as if it were background noise). The model also predicts the types of cues the predator should use in opposite sides of the S/N axis.",

keywords = "Aposematism, Camouflage, Crypsis, Mimicry, Signal-to-noise ratio",

author = "Pie, {Marcio R.}",

note = "Funding Information: I would like to thank C.E. Joshu, J.A. Endler, P. Jablonski, C.J. Schneider, M. Speed, M.D. Sorenson, J.F.A. Traniello, and an anonymous reviewer for valuable discussion on this topic. This work was funded by CAPES/Ministerio da Educa{\c c}{\~a}o, Bras{\'i}lia, Brazil.",

year = "2005",

month = jan,

day = "31",

doi = "10.1016/j.beproc.2004.11.001",

language = "English",

volume = "68",

pages = "47--50",

journal = "Behavioural Processes",

issn = "0376-6357",

publisher = "Elsevier",

number = "1",

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TY - JOUR

T1 - Signal evolution in prey recognition systems

AU - Pie, Marcio R.

N1 - Funding Information: I would like to thank C.E. Joshu, J.A. Endler, P. Jablonski, C.J. Schneider, M. Speed, M.D. Sorenson, J.F.A. Traniello, and an anonymous reviewer for valuable discussion on this topic. This work was funded by CAPES/Ministerio da Educação, Brasília, Brazil.

PY - 2005/1/31

Y1 - 2005/1/31

N2 - In this paper a graphical model first developed in the context of kin recognition is adapted to the study of signalling in predator-prey systems. Antipredation strategies are envisioned as points along a signal-to-noise (S/N) axis, with concealing (low S/N) and conspicuous (high S/N) strategies being placed at opposite sides of this axis. Optimal prey recognition systems should find a trade-off between acceptance errors (going after a background cue as if it were a prey) and rejection errors (not going after a prey as if it were background noise). The model also predicts the types of cues the predator should use in opposite sides of the S/N axis.

AB - In this paper a graphical model first developed in the context of kin recognition is adapted to the study of signalling in predator-prey systems. Antipredation strategies are envisioned as points along a signal-to-noise (S/N) axis, with concealing (low S/N) and conspicuous (high S/N) strategies being placed at opposite sides of this axis. Optimal prey recognition systems should find a trade-off between acceptance errors (going after a background cue as if it were a prey) and rejection errors (not going after a prey as if it were background noise). The model also predicts the types of cues the predator should use in opposite sides of the S/N axis.

KW - Aposematism

KW - Camouflage

KW - Crypsis

KW - Mimicry

KW - Signal-to-noise ratio

UR - http://www.scopus.com/inward/record.url?scp=11844284793&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=11844284793&partnerID=8YFLogxK

U2 - 10.1016/j.beproc.2004.11.001

DO - 10.1016/j.beproc.2004.11.001

M3 - Article (journal)

C2 - 15639385

AN - SCOPUS:11844284793

SN - 0376-6357

VL - 68

SP - 47

EP - 50

JO - Behavioural Processes

JF - Behavioural Processes

IS - 1

ER -

Signal evolution in prey recognition systems

Abstract

Keywords

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