Comparison of Bioenergetics Parameters from Two Spring-Fed Riverine Largemouth Bass Populations
Jakob C. Tetzlaff*, William E. Pine III, Thomas K. Frazer
Identifiers and Pagination:Year: 2010
First Page: 87
Last Page: 100
Publisher Id: TOFISHSJ-3-87
Article History:Received Date: 01/01/2009
Revision Received Date: 01/07/2009
Acceptance Date: 17/07/2009
Electronic publication date: 3/6/2010
Collection year: 2010
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
This study applies a new bioenergetics modeling framework put forth by Walters and Essington (this volume) which estimates bioenergetics parameters and consumption rates of fishes using commonly collected size-at-age and capture- recapture data from field studies. Bioenergetics model parameters and consumption rates are estimated for two populations of largemouth bass Micropterus salmoides with observed differences in growth patterns. We also compare consumption estimates from the bioenergetics model formulated by Walters and Essington with a more commonly employed bioenergetics model. We show that bioenergetics model parameters can be estimated with limited data on size-at-age and incremental growth when informative prior distributions on metabolic parameters are used. The general bioenergetics model revealed differences in bioenergetics parameters between the two largemouth bass populations that are well supported by auxiliary data on largemouth bass diets and observed prey abundance patterns. Lifetime growth and consumption estimates between the general bioenergetics model and Wisconsin bioenergetics model differed slightly. However, seasonal patterns in growth and consumption rates differed drastically between the two models. Estimating bioenergetics parameters using field data collected on specific populations of interests has the potential to allow for more realistic representation of seasonal growth and consumption patterns.