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Tuesday, January 29 • 6:00pm - 9:00pm
(STUDENT RESEARCH POSTER 6) Predicting Seasonal Growth of Yellow Perch in the Western Basin of Lake Erie

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AUTHORS: Peter Jenkins, The Ohio State University

ABSTRACT: Lake Erie management agencies estimate Yellow Perch (Perca flavescens) recruitment to the fishery (age-2) in part using the relative abundance of age-1 fish from the Ohio Division of Wildlife (ODW) western basin trawl survey in August. Currently, the ODW uses prespecified length classifications to classify the ?age? of 0, 1, and 2+ yellow perch on the boat. High variability in length at age between cohorts emphasizes the need for a more fluid length classification. The studies objective is to use seasonal growth data and environmental factors to help inform age-1 length classifications, thus increasing the accuracy of age-1 relative abundance estimates and reducing bias in recruitment estimates. Using pooled ODW monthly trawl data we compared a traditional von Bertalanffy growth model and Somers? and Pauly?s seasonal growth models using minimum AIC to determine the best fit model. Pauly?s model was determined to be the best and subsequent models were fit for each cohort from 2007 to 2015. There was high variability in model parameter estimates between cohorts so further analysis of biotic and abiotic factors were examined. we used the growth factor K? and correlated that to cumulative growing degree days, total fish density, young of the year yellow perch density, and mean zooplankton length. Only the growth factor K? and total fish density had a significantly positive relationship. We plan to translate this analysis into a hierarchical model to help improve our ability to predict length of August age-1 Yellow Perch in the western basin of Lake Erie.

Tuesday January 29, 2019 6:00pm - 9:00pm EST

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