Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2014 Jul 22;281(1787):20140355.
doi: 10.1098/rspb.2014.0355.

Background level of risk determines how prey categorize predators and non-predators

Affiliations

Background level of risk determines how prey categorize predators and non-predators

Douglas P Chivers et al. Proc Biol Sci. .

Abstract

Much of the plasticity that prey exhibit in response to predators is linked to the prey's immediate background level of risk. However, we know almost nothing of how background risk influences how prey learn to categorize predators and non-predators. Learning non-predators probably represents one of the most underappreciated aspects of anti-predator decision-making. Here, we provide larval damselfish (Pomacentrus chrysurus) with a high or low background risk and then try to teach them to recognize a cue as non-threatening through the process of latent inhibition. Prey from the low-risk background that were pre-exposed to the novel odour cues in the absence of negative reinforcement for 3 days, and then provided the opportunity to learn to recognize the odour as threatening, failed to subsequently respond to the odour as a threat. Fish from the high-risk background showed a much different response. These fish did not learn the odour as non-threatening, probably because the cost of falsely learning an odour as non-threatening is higher when the background level of risk is higher. Our work highlights that background level of risk appears to drive plasticity in cognition of prey animals learning to discriminate threats in their environment.

Keywords: coral reefs; damselfish; learning; non-predator recognition; predator recognition; risk assessment.

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
Mean (±s.e.) proportion change in feeding strikes for fish provided with a high or low background level of risk, and then pre-exposed to water or predator odour and tested for a response to seawater (open bars) or predator odour (solid bars).
Figure 2.
Figure 2.
Mean (±s.e.) proportion change in line crosses for fish provided with a high or low background level of risk, and then pre-exposed to water or predator odour and tested for a response to seawater (open bars) or predator odour (solid bars).

References

    1. Stankowich T, Blujmstein DT. 2005. Fear in animals: a meta-analysis and review of risk assessment. Proc. R. Soc. B 272, 2627–2634. (10.1098/rspb.2005.3251) - DOI - PMC - PubMed
    1. Blumstein DT. 2010. Flush early and avoid the rush: a general rule of antipredator behavior? Behav. Ecol. 21, 440–442. (10.1093/beheco/arq030) - DOI
    1. Zanette LY, White AF, Allen MC, Clinchy M. 2011. Perceived predation risk reduces the number of offspring songbirds produce per year. Science 334, 1398–1401. (10.1126/science.1210908) - DOI - PubMed
    1. Lima SL. 1998. Stress and decision making under the risk of predation: recent developments from behavioral, reproductive, and ecological perspectives. Adv. Study behav. 27, 215–290.
    1. Lima SL, Bednekoff PA. 1999. Temporal variation in danger drives antipredator behavior: the predation risk allocation hypothesis. Am. Nat. 153, 649–659. (10.1086/303202) - DOI - PubMed

Publication types

LinkOut - more resources