ArticleConservation physiology2026
Dynamic time warping analysis of accelerometry data: a tool for interpreting fine-scale movement patterns during fish angling events.
Article in Conservation physiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
- Burst swimming in sockeye salmon during their 1100 km upstream migration.Conservation physiology · 2026Article
Corrections and comments
- Erratum issued
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Post-release survival in catch-and-release fisheries is highly variable and context dependent, yet management agencies often apply uniform survival estimates. A significant source of this uncertainty is our limited understanding of how the capture event itself drives physiological stress and recovery. Fight dynamics reflect how much effort a fish expends and the exhaustion it experiences. Non-invasive accelerometers attached to the fishing line to record the capture event provide a powerful yet underused tool for quantifying these fight dynamics. Traditional analytical approaches reduce accelerometry data to summary statistics, obscuring fine-scale temporal patterns. Here, we introduce a toolbox based on dynamic time warping (DTW) to preserve the temporal structure of capture events and link fight behaviour to physiological disturbance. We attached tri-axial jerk accelerometers ('jerk' tags) to fishing lines and captured Chinook salmon (
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