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Cited by 373

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Integrating genetic data into management of marine resources: how can we do it better?

Waples, Robin S, Punt, André E, Cope, Jason M·2008·Fish and Fisheries

Abstract

Molecular genetic data have found widespread application in the identification of population and conservation units for aquatic species. However, integration of genetic information into actual management has been slow, and explicit and quantitative inclusion of genetic data into fisheries models is rare. In part, this reflects the inherent difficulty in using genetic markers to draw inferences about demographic independence, which is generally the information of the greatest short‐term interest to fishery managers. However, practical management constraints, institutional structures and communication issues have also contributed to the lack of integration. This paper identifies some of the organizational, conceptual and technical barriers that have hampered full use of genetics data in stock assessment and hence fishery management and outlines how such use could be enhanced.

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Crossref · 10.1111/j.1467-2979.2008.00303.x

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Metadata

Authors
Waples, R. S., Punt, A. E., & Cope, J. M.
Venue
Fish and Fisheries
Publisher
Wiley
Published
2008-11-24
Volume
9
Issue
4
Pages
423-449
ISSN
  • 1467-2960 (ISSN-L)
  • 1467-2979
OpenAlex
W1980454123
Cited by
373
References
2
FWCI
19.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Integrating genetic data into management of marine resources: how can we do it better? https://app.cochat.ai/papers/10.1111/j.1467-2979.2008.00303.x
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Waples, R. S., Punt, A. E., & Cope, J. M. (2008). Integrating genetic data into management of marine resources: how can we do it better? Fish and Fisheries. https://doi.org/10.1111/j.1467-2979.2008.00303.x

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.