The design and analysis of field studies to estimate catch‐and‐release mortality
Abstract
The practice of catch and release (CR) as a fisheries management tool to reduce fishing mortality is widely applied in both freshwater and marine fisheries, whether from shifts in angler attitudes related to harvest or from the increasing use of harvest restrictions such as closed seasons or length limits. This approach assumes that for CR fishing policies to benefit the stock, CR will result in much lower mortality than would otherwise occur. There are many challenges in the design of CR studies to assess mortality, and in many practical settings it is difficult to obtain accurate and precise estimates. The focus of this article is on the design and quantitative aspects of estimating CR mortality, the need for a comprehensive approach that explicitly states all components of CR mortality, and the assumptions behind these methods. A general conceptual model for CR mortality that is applicable to containment and tagging‐based studies with a slight modification is presented. This article reviews the design and analysis of containment and tagging studies to estimate CR mortality over both the short and long term and then compares these two approaches. Additionally, the potential population‐level impacts of CR mortality are discussed. A recurring theme is the difficulty of designing studies to estimate CR mortality comprehensively and the need for additional research into both statistical model development and field study design.
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Conventional tagging studies depend on tag-recapture efforts, and can be sensitive to the distribution of releases and assumptions related to the tagged population (e.g. random selection, independence and complete mixing).
“Conventional tagging studies, however, depend on tag-recapture efforts, and can be sensitive to the 613 distribution of releases and assumptions related to the tagged population (e.g. random selection, 614 independence and complete mixing) (Pollock and Pine, 2007; Berger et al., 2014).”
From A review of the fisheries, life history and stock structure of tropical tuna (skipjack Katsuwonus pelamis, yellowfin Thunnus albacares and bigeye Thunnus obesus) in the Indian Ocean (2021) · cites this paper as Pollock and Pine, 2007
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Pseudoreplication and the Design of Ecological Field Experiments
Hurlbert, S. H. (1984) · Ecological Monographs · doi:10.2307/1942661 · Cited by 8,377 · see citing works
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Hvas, M., Morin, A., Johansen, I. B., & Vågseth, T. (2025) · Journal of Thermal Biology · doi:10.1016/j.jtherbio.2025.104231 · Cited by 11 · see citing works
- Authors
- POLLOCK, K. H., & PINE, W. E.
- Corresponding author
- POLLOCK, K. H.
- ORCID
- PINE, W. E.
- Venue
- Fisheries Management and Ecology
- Publisher
- Wiley
- Published
- 2007-03-19
- Volume
- 14
- Issue
- 2
- Pages
- 123-130
- ISSN
- 0969-997X (ISSN-L)
- 1365-2400
- OpenAlex
- W2155098982
- Cited by
- 188
- References
- 1
- Citations by year
- 2026: 9 · 2025: 5 · 2024: 9 · 2023: 6 · 2022: 7 · 2021: 10 · 2020: 9 · 2019: 15 · 2018: 17 · 2017: 14 · 2016: 7 · 2015: 8 · 2014: 10 · 2013: 10 · 2012: 13
- FWCI
- 7.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Fisheries Management and Ecology (publishedVersion)
- Topics
- Physical Sciences › Environmental Science › Nature and Landscape Conservation › Fish Ecology and Management Studies
- Physical Sciences › Environmental Science › Global and Planetary Change › Marine and fisheries research
- Physical Sciences › Mathematics › Statistics and Probability › Census and Population Estimation
- Keywords
- catch-and-release fishing, mortality estimation, fisheries management, fishing mortality, population effects, research design, statistical models
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