Integrating conventional tagging and acoustic telemetry improves estimates of post-release survival for a highly targeted reef fish

Clicks: 3
ID: 337836
2026
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #46 of 46 articles by views in ices journal of marine science

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Abstract Accurate estimation of post-release survival is fundamental to fisheries stock assessment and effective management. Conventional tag-return studies and acoustic telemetry are commonly used to estimate this probability, yet each approach has limitations when applied independently. Using gag (Mycteroperca microlepis) as a case study, we integrated data from a large-scale conventional tagging program and an acoustic telemetry experiment into a discrete-time statistical modeling framework that links relative recapture risk with telemetry-derived fate. This approach enabled estimation of post-release survival across a broad gradient of depths representative of recreational fishing conditions. Estimated survival was high in shallow waters ($\approx$96%) but declined with increasing depth, consistent with depth-related barotrauma. Applying model predictions to data from the recreational fishery yielded annual and monthly post-release survival probabilities. Annual estimates were consistent with values assumed in recent stock assessments, while monthly values highlighted seasonal patterns relevant for management. This integrated framework advances post-release survival estimation by combining the extensive sample sizes and environmental coverage characteristic of conventional tagging data with the individual-level fate inference provided by acoustic telemetry, and offers a transferable approach applicable to other highly targeted fishery species.
Reference Key
openalex_W7224991740 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors A. Challen Hyman, Angela B. Collins, Chloe T. Ramsay, Sean Wilms, Micheal S. Allen, Luiz R. Barbieri, Thomas K. Frazer
Are you one of these authors? Claim your profile
Journal ices journal of marine science
Year 2026
DOI
10.1093/icesjms/fsag218
URL
https://doi.org/10.1093/icesjms/fsag218
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.