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Near extinction of a highly fecund fish: the one that nearly got away

Sadovy, Yvonne, Cheung, Wai Lung·2003·Fish and Fisheries

Abstract

It is widely assumed that commercial fisheries of highly fecund species are particularly resilient to exploitation, and that, should populations become seriously diminished, economic constraints will force fishing to cease before biological extinction can occur. Indeed, among commercially exploited marine fishes there is not one confirmed global extinction. Here we document, using nonconventional means, a story that not only questions such assumptions but that should also alert us to how little we know about significant fisheries in some parts of the world. Our case study is that of the highly threatened Chinese bahaba, Bahaba taipingensis, a member of the Sciaenidae (the drums or croakers), and an example of a fecund and commercially important group of fishes that appears to be especially vulnerable to fishing. We also demonstrate that the careful use of informal, or traditional, information can provide a powerful, sometimes unique, means of identifying and assessing the status and history of species that might be quietly slipping away before we learn anything about them.

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Metadata

Authors
Sadovy, Y., & Cheung, W. L.
Venue
Fish and Fisheries
Publisher
Wiley
Published
2003-03
Volume
4
Issue
1
Pages
86-99
ISSN
  • 1467-2960 (ISSN-L)
  • 1467-2979
OpenAlex
W2029678892
Cited by
233
References
0
FWCI
8.65
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Near extinction of a highly fecund fish: the one that nearly got away. https://app.cochat.ai/papers/10.1046/j.1467-2979.2003.00104.x
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Sadovy, Y., & Cheung, W. L. (2003). Near extinction of a highly fecund fish: the one that nearly got away. Fish and Fisheries. https://doi.org/10.1046/j.1467-2979.2003.00104.x

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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.