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Cited by 400

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American Pronghorn: Social Adaptations and the Ghosts of Predators Past

Krausman, Paul R., Byers, J. A.·1998·The Journal of Wildlife Management

Abstract

Pronghorn antelope are the fastest runners in North America, often reaching speeds of up to 100 kilometers per hour. Yet none of their current predators can run this fast. Pronghorn also gather in groups, a behaviour commonly viewed as a safety in numbers defence. But again, none of their living predators are fearsome enough to merit such a response. In this book, John A. Byers argues that these mystifying behaviours evolved in response to the dangerous predators with which pronghorn shared their grassland home for nearly four million years: among them fleet hyenas, lions, and cheetahs. Although these predators died out 10,000 years ago, pronghorn still behave as if they were present - as if they were living with the ghosts of predators past. This provocative hypothesis should stimulate behavioural ecologists and mammalogists to consider whether other species' adaptations are also haunted by selective pressures from predators past. The book should also find an audience among evolutionary biologists and paleontologists.

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Metadata

Authors
Krausman, P. R., & Byers, J. A.
Venue
The Journal of Wildlife Management
Publisher
JSTOR
Published
1998-10
Volume
62
Issue
4
Pages
1580
ISSN
0022-541X (ISSN-L)
OpenAlex
W2121190386
Cited by
400
References
0
FWCI
20.44
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: American Pronghorn: Social Adaptations and the Ghosts of Predators Past. https://app.cochat.ai/papers/10.2307/3802026
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Krausman, P. R., & Byers, J. A. (1998). American Pronghorn: Social Adaptations and the Ghosts of Predators Past. The Journal of Wildlife Management. https://doi.org/10.2307/3802026

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.