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Use of PIT tags to assess individual heterogeneity of laboratory‐reared juveniles of the endangered Cumberlandian combshell (Epioblasma brevidens) in a mark–recapture study
Authors:Dan Hua  Yan Jiao  Richard Neves  Jess Jones
Affiliation:1. Department of Fish and Wildlife Conservation, College of Natural Resources, Virginia Polytechnic Institute and State University, Blacksburg, Virginia;2. Freshwater Mollusk Conservation Center, Virginia Polytechnic Institute and State University, Blacksburg, Virginia;3. U.S. Geological Survey, Cooperative Fish and Wildlife Research Unit, Blacksburg, Virginia;4. U.S. Fish and Wildlife Service, Ecological Services Office, Blacksburg, Virginia
Abstract:The federally endangered Cumberlandian combshell (Epioblasma brevidens) was propagated and reared to taggable size (5–10 mm), and released to the Powell River, Tennessee, to augment a relict population. Methodology using passive integrated transponder (PIT) tags on these mussels greatly facilitated the detection process. The overall mean detection probability and survival rate of released individuals reached 97.8 to 98.4% and 99.7 to 99.9% (per month), respectively, during nine successive recapture occasions in the 2‐year study period, regardless of seasonality. Nonhierarchical models and hierarchical models incorporating individual and seasonal variations through a Bayesian approach were compared and resulted in similar performance of prediction for detection probability and survival rate of mussels. This is the first study to apply the mark–recapture method to laboratory‐reared mussels using PIT tags and stochastic models. Quantitative analyses for individual heterogeneity allowed examination of demographic variance and effects of heterogeneity on population dynamics, although the individual and seasonal variations were small in this study. Our results provide useful information in implementing conservation strategies of this faunal group and a framework for other species or similar studies.
Keywords:Bayesian  Cumberlandian combshell (Epioblasma brevidens)  detection probability  heterogeneity  hierarchic model  mark–  recapture  PIT tag  survival rate
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