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BIOLOGICAL SCIENCES / ECOLOGY
Ground squirrels use an infrared signal to deter rattlesnake predation
*Animal Behavior Graduate Group and Departments of Psychology and Mechanical and Aeronautical Engineering, University of California, One Shields Avenue, Davis, CA 95616
Edited by Peter Marler, University of California, Davis, CA, and approved July 19, 2007 (received for review March 20, 2007)
The evolution of communicative signals involves a major hurdle; signals need to effectively stimulate the sensory systems of their targets. Therefore, sensory specializations of target animals are important sources of selection on signal structure. Here we report the discovery of an animal signal that uses a previously unknown communicative modality, infrared radiation or "radiant heat," which capitalizes on the infrared sensory capabilities of the signal's target. California ground squirrels (Spermophilus beecheyi) add an infrared component to their snake-directed tail-flagging signals when confronting infrared-sensitive rattlesnakes (Crotalus oreganus), but tail flag without augmenting infrared emission when confronting infrared-insensitive gopher snakes (Pituophis melanoleucus). Experimental playbacks with a biorobotic squirrel model reveal this signal's communicative function. When the infrared component was added to the tail flagging display of the robotic models, rattlesnakes exhibited a greater shift from predatory to defensive behavior than during control trials in which tail flagging included no infrared component. These findings provide exceptionally strong support for the hypothesis that the sensory systems of signal targets should, in general, channel the evolution of signal structure. Furthermore, the discovery of previously undescribed signaling modalities such as infrared radiation should encourage us to overcome our own human-centered sensory biases and more fully examine the form and diversity of signals in the repertoires of many animal species.
animal communication | signal evolution | multimodal communication
Author contributions: A.S.R. and D.H.O. designed research; A.S.R. performed research; A.S.R. analyzed data; A.S.R. and D.H.O. wrote the paper; and A.S.R., S.S.J., E.C., and N.G. were responsible for robot software development including vision-based snake tracking and the development of the robotic models.
The authors declare no conflict of interest.
This article is a PNAS Direct Submission.
See Commentary on page 14177.
This article contains supporting information online at www.pnas.org/cgi/content/full/0702599104/DC1.
To whom correspondence should be addressed. E-mail: asrundus{at}ucdavis.edu
© 2007 by The National Academy of Sciences of the USA
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