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Cited by 474

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Two levels of alliance formation among male bottlenose dolphins (Tursiops sp.).

Open access
Connor, R C, Smolker, R A, Richards, A F·1992·Proceedings of the National Academy of Sciences

Abstract

In Shark Bay, Western Australia, male bottlenose dolphins (Tursiops sp.) cooperate in pairs and triplets to sequester and control the movements of females. We refer to this behavior as "herding" and to the male pairs and triplets as alliances. During a 25-month study (1987-1989) on the social relationships of males, we documented herding in 10 alliances. Males preferentially herded nonpregnant females likely to be in estrus. Alliance members associated with one another consistently when not herding females. Each alliance associated preferentially with one or two other alliances. Occasionally, two alliances combined and took females from another alliance or defended females against such efforts. This study documents multiple-level male alliances within a social group outside of humans.

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Crossref · 10.1073/pnas.89.3.987

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Metadata

Authors
Connor, R. C., Smolker, R. A., & Richards, A. F.
Venue
Proceedings of the National Academy of Sciences
Published
1992-02
Volume
89
Issue
3
Pages
987-990
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2069209734
Cited by
474
References
1
FWCI
7.88
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Two levels of alliance formation among male bottlenose dolphins (Tursiops sp.). https://app.cochat.ai/papers/10.1073/pnas.89.3.987
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Connor, R. C., Smolker, R. A., & Richards, A. F. (1992). Two levels of alliance formation among male bottlenose dolphins (Tursiops sp.). Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.89.3.987

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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.