Estimating the Active Metabolic Rate (AMR) in Fish based on Tail Beat Frequency (TBF) and Body Mass

Tail beat frequency (TBF) was measured for carp (Cyprinus carpio) and roach (Rutilus rutilus), during steady swimming at five different speeds and for fish of various body masses. A multiple stepwise linear regression analysis resulted in models for the prediction of TBFs depending on swimming speed as an independent variable. Speed explained 72 and 86% of the variance in TBF for carp and roach, respectively. By using these data to predict TBF from speed and substituting values into a model from a previous study that predicts active metabolic rates (AMR) from body mass and swimming speed, we can predict AMR from only two parameters, fish mass and TBF. Thus, the derived models can be used to estimate the activity metabolism in fish by measuring TBFs in the field using biotelemetry. The approach presented here is a useful and relatively simple tool for estimating the activity metabolism in free-swimming fish. In future studies this method should be applied to a larger and more representative sample size to test the applicability and the validity for a broader range of species.

OHLBERGER Jan;  STAAKS Georg;  HOELKER Franz; 

2007-07-17

WILEY-LISS, INC

JRC36801

https://publications.jrc.ec.europa.eu/repository/handle/JRC36801,   

10.1002/jez.384,