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Record W4408164653 · doi:10.1093/fshmag/vuae023

Individual outcomes matter in the context of responsible and sustainable catch-and-release practices in recreational fisheries and their management

2025· article· en· W4408164653 on OpenAlex
Steven J. Cooke, S Tracey, Robert Arlinghaus, Robert J. Lennox, Jacob W. Brownscombe, Adam Weir, Scott G. Hinch, David A. Patterson, Meaghan L. Guckian, Andy J. Danylchuk

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueFisheries · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsSimon Fraser UniversityUniversity of British ColumbiaDalhousie UniversityOcean Tracking NetworkOntario Federation of Anglers and HuntersFisheries and Oceans CanadaCarleton University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsRecreational fishingFisheryContext (archaeology)RecreationFisheries managementCatch and releaseBusinessEnvironmental resource managementNatural resource economicsEnvironmental planningEnvironmental scienceGeographyFishingEcologyEconomicsBiology

Abstract

fetched live from OpenAlex

Abstract Recreational anglers often engage in catch-and-release (C&R) whereby some of their catch is returned to the water (either to comply with harvest regulations or voluntarily) with the assumption that fish will survive and experience negligible impacts. Despite the assumption that C&R is usually harmless to fish and, thus, helps reduce overall fishing mortality, a large evidence base shows a proportion of released fish will not survive. Even if the event is not lethal, each individual fish will experience some sublethal impact (e.g., injury and stress). There is some debate within the recreational fisheries science and management community regarding the extent to which sublethal impacts or even mortality of individual fish matter, given that fisheries management efforts often focus on whether excessive overall mortality affects population size or quality of angling. Here, we embrace the perspective that individual-level outcomes matter in the context of responsible and sustainable C&R in recreational fisheries and their management. We outline 10 reasons why there is a need to account for individual outcomes of C&R fish to generate resilient fisheries under a changing climate and in the face of other ongoing, increasing, and future threats and stressors. Fostering better handling practices and responsible behaviors within the angling community through education will improve interactions between fish and people while ensuring more successful releases and ecological benefits across fisheries. We acknowledge that cultural norms and values underpin ethical perspectives, which vary among individuals, regions (e.g., rural vs. urban), and geopolitical jurisdictions, and that these can dictate angler behavior and management objectives as well as how individual-level C&R impacts are perceived. Our perspective complements a parallel paper (see Corsi et al., 2025) that argues that individual fish outcomes do not matter unless they create population-level impacts. Creating a forum for discussing and reflecting on alternative viewpoints is intended to help identify common ground where there is opportunity to work collectively to ensure recreational fisheries are managed responsibly and sustainably.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.425

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.243
Teacher spread0.229 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it