Conservation Physiology · 2024 · 12 citations · 75 references
Natural ResourcesFisheriesZoologyFisheries BiologyFisheries ManagementMarine FisheriesFish Fisheries BiologyFisheries EcologyMarine Fish BiologyFish ConditionFish SurvivalSurvival After ReleaseSurvival ProbabilitySurvival Probability EstimationSurvival Probability InterpretationVitalityVitality Scoring
Estimating the survival probability of animals released from fisheries can improve the overall understanding of animal biology with implications for fisheries management, conservation and animal welfare. Vitality indicators are simple visual measures of animal condition that change in response to stressors (like fisheries capture) and can be assessed to predict post-release survival. These indicators typically include immediate reflex responses which are typically combined into a score. Vitality indicators are straight-forward and non-invasive metrics that allow users to quantify how close (or far) an animal is from a normal, 'healthy' or baseline state, which in turn can be correlated with outcomes such as survival probability, given appropriate calibration. The literature on using vitality indicators to predict post-release survival of animals has grown rapidly over the past decade. We identified 136 papers that used vitality indicators in a fisheries context. These studies were primarily focused on marine and freshwater fishes, with a few examples using herptiles and crustaceans. The types of vitality indicators are diverse and sometimes taxa-specific (e.g. pinching leg of turtles, spraying water at nictitating membrane of sharks) with the most commonly used indicators being those that assess escape response or righting response given the vulnerability of animals when those reflexes are impaired. By presenting Pacific salmon fisheries as a case study, we propose a framework for using vitality indicators to predict survival across taxa and fisheries.
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Understanding impacts of fisheries bycatch on marine megafauna
Rebecca L. Lewison, Larry B. Crowder, Alan Read et al. · Trends in Ecology & Evolution · 2004 · 1K citations
Robert Arlinghaus, Steven J. Cooke, Jon Lyman et al. · Reviews in Fisheries Science · 2007 · 701 citations