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Sensitivity of tag-recovery mortality estimates to inaccuracies in tag shedding,handling mortality,and tag reporting
Authors:Travis O. Brenden  Michael L. Jones  Mark P. Ebener
Affiliation:1. Quantitative Fisheries Center, Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48824, USA;2. Inter-Tribal Fisheries and Assessment Program, Chippewa Ottawa Resource Authority, Sault Ste. Marie, MI 49783, USA;1. School of Mathematics and Statistics, University of Sheffield, Sheffield S3 7RH, UK;2. School of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough LE12 5RD, UK;3. Laboratory for Fundamental and Applied Research in Chemical Ecology, University of Neuchtel, Neuchtel 2000, Switzerland;1. Fisheries Centre, AERL, University of British Columbia, 2202 Main Mall, Vancouver, BC, Canada V6T 1Z4;2. Unité Mixte de Recherche 212 Ecosystèmes Marins Exploités, Institut de Recherche pour le Développement, Centre de Recherche Halieutique, Méditerranéenne et Tropicale, BP 171, 34203 Sète Cedex, France;1. State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, PR China;2. Shanghai Collaborative Innovation Center for Biomanufacturing Technology, 130 Meilong Road, Shanghai 200237, PR China;3. Yantai Development Zone TianYuan Aquatic Products Co., Ltd, Yantai, Shandong Province, PR China;1. Florida Fish and Wildlife Conservation Commission, Fish and Wildlife Research Institute, 100 Eighth Avenue SE, Saint Petersburg, FL 33701, USA;2. University of South Florida, College of Marine Science, 140 7th Avenue S, MSL 119, Saint Petersburg, FL 33701, USA;1. Fish Disease Research Unit, University of Veterinary Medicine Hannover, Foundation, Germany;2. Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut (FLI), Neustadt-Mariensee, Germany;3. Federal Office of Consumer Protection and Food safety (BVL), Berlin, Germany;4. Lower Saxony State Office for Consumer Protection and Food Safety (LAVES), Food and Veterinary Institute Braunschweig/Hannover, Germany
Abstract:We used Monte Carlo simulations to evaluate the sensitivity of tag-recovery mortality estimates to inaccuracies in tag shedding, handling mortality, and tag reporting. The data-generating model used in the simulations assumed that tagging was conducted annually for 4 years with tag recoveries occurring over a 4-year period. Several different combinations of instantaneous fishing (F) and natural (M) mortality were evaluated in the simulations. The data-generating model additionally assumed that immediate-shedding and handling-mortality rates equaled 2.5% and 0%, respectively, and that chronic shedding was a sigmoidal function of months since tagging. Two spatial patterns of reporting rates were considered—one where reporting was a function of distance from the tagging site and one where reporting was a random generation across the study area. Maximum likelihood estimates of F and M were calculated from the recovery of tags from the data-generating model under different assumed rates of tag shedding, handling mortality, and tag reporting. We found that assumptions about reporting rates resulted in the most variability in mortality estimates regardless of which combination of F and M was evaluated, with assumptions about chronic shedding also contributing substantially to overall variability in mortality estimates for most mortality combinations. Assumptions about immediate tag shedding and handling mortality had relatively minor effects on mortality estimates compared to reporting rate. When planning a tag-recovery study, care should be taken to ensure that chronic shedding and tag-reporting rates are accurately measured, as inaccurate measurements in these factors can result in significant errors in mortality estimates.
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