Journal
BIOLOGICAL CONSERVATION
Volume 209, Issue -, Pages 150-158Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.biocon.2017.01.022
Keywords
Data sharing; Logistic regression; Catch-and-release; Delayed mortality
Funding
- Natural Sciences and Engineering Research Council of Canada (NSERC)
- Ocean Tracking Network
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Recreational Atlantic salmon Salmo solar fisheries are culturally and economically important, but confronted with global population declines, catch-and-release has frequently replaced harvest in these fisheries. Many studies have evaluated the effects of catch-and-release angling on Atlantic salmon; however, studies typically focused on a single system and had small sample sizes. Using data from Atlantic salmon catch-and-release studies conducted in 12 rivers throughout the pan-Holarctic range of wild Atlantic salmon, we modeled delayed mortality data using logistic regression. The model was based on 512 salmon (75 +/- 15 cm TL) captured and released with electronic tags (i.e. radio or acoustic transmitters), which permitted the determination of fish fate after release (delayed mortality). The percentage of salmon categorized as survivors after release was high (93%). Salmon with longer body length tended to be played for longer durations (R-2 = 0.60) but there was no significant effect of fish length or playing time on mortality. Water temperature at capture emerged as a significant predictor of delayed mortality of salmon. Individuals captured by flies had significantly higher survival (96%) compared to lure (86%) and natural bait (85%) caught salmon. Data from throughout the range of Atlantic salmon confirm that fish captured by anglers adhering to best practices have high probability of surviving catch-and-release angling. (C) 2017 Published by Elsevier Ltd.
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