Cited by 582Marine and fisheries researchFish Ecology and Management StudiesMathematical and Theoretical Epidemiology and Ecology Models

Interpreting catch per unit effort data to assess the status of individual stocks and communities

Maunder, Mark N., Sibert, John R., Fonteneau, Alain, Hampton, John, Kleiber, Pierre, Harley, Shelton J.·2006·ICES Journal of Marine Science

Abstract

Despite being one of the most common pieces of information used in assessing the status of fish stocks, relative abundance indices based on catch per unit effort (cpue) data are notoriously problematic. Raw cpue is seldom proportional to abundance over a whole exploitation history and an entire geographic range, because numerous factors affect catch rates. One of the most commonly applied fisheries analyses is standardization of cpue data to remove the effect of factors that bias cpue as an index of abundance. Even if cpue is standardized appropriately, the resulting index of relative abundance, in isolation, provides limited information for management advice or about the effect of fishing. In addition, cpue data generally cannot provide information needed to assess and manage communities or ecosystems. We discuss some of the problems associated with the use of cpue data and some methods to assess and provide management advice about fish populations that can help overcome these problems, including integrated stock assessment models, management strategy evaluation, and adaptive management. We also discuss the inappropriateness of using cpue data to evaluate the status of communities. We use tuna stocks in the Pacific Ocean as examples.

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Crossref · 10.1016/j.icesjms.2006.05.008

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  • Fishery data have been criticised for inducing biased conclusions about stock abundance trends because CPUE series may not accurately reflect trends of population abundance due to changes in fishing practice, efficiency of fleets or environmental effects on catchability.

    “Fishery data have been criticised for inducing biased conclusions about stock abundance trends because CPUE series may not accurately reflect trends of population abundance due to changes in fishing practice, efficiency of the fleets or environmental effects on catchability, among others (see Maunder and Punt, 2004;Maunder et al., 2006;Polacheck, 2006).”

    From Global habitat preferences of commercially valuable tuna (2015) · cites this paper as Maunder et al., 2006

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Authors
Maunder, M. N., Sibert, J. R., Fonteneau, A., Hampton, J., Kleiber, P., & Harley, S. J.
Affiliations
  • Inter-American Tropical Tuna Commission (US)
  • University of Hawaiʻi at Mānoa (US)
  • Centre de Recherche Halieutique Méditerranéenne et Tropicale Avenue Jean Monnet BP 171, 34 203 Sete Cedex, France
  • Pacific Community (NC)
  • NOAA National Marine Fisheries Service Pacific Islands Fisheries Science Center (US)
  • Ministry of Fisheries PO Box 1020, Wellington, New Zealand
Venue
ICES Journal of Marine Science
Published
2006-01-01
Volume
63
Issue
8
Pages
1373-1385
ISSN
  • 1054-3139 (ISSN-L)
  • 1095-9289
OpenAlex
W2161277812
Cited by
582
References
80
Citations by year
2026: 32 · 2025: 28 · 2024: 35 · 2023: 30 · 2022: 35 · 2021: 39 · 2020: 40 · 2019: 59 · 2018: 37 · 2017: 31 · 2016: 31 · 2015: 26 · 2014: 30 · 2013: 29 · 2012: 25
FWCI
9.22
Type
journal article
Language
en
Open access
closed
Locations
ICES Journal of Marine Science (publishedVersion)
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Marine and fisheries research
  • Physical Sciences › Environmental Science › Nature and Landscape Conservation › Fish Ecology and Management Studies
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Mathematical and Theoretical Epidemiology and Ecology Models
Keywords
catch per unit effort, relative abundance index, CPUE standardization, fish stock assessment, ecosystem-based fisheries management, management strategy evaluation, adaptive management, tuna stocks, fisheries advice

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