Abstract
Software is now available to apply a salmonid bioenergetic drift-foraging model to generate values of net energy intake (NEI) over a range of water depths and velocities. The predictions can be used to build univariate “habitat” suitability curves or multivariate “habitat” selection models for use in instream habitat modelling programs. Capture success and swimming cost sub-models are basic components of the bioenergetic model and there is a need to understand their influence of NEI predictions. Examination of the swimming cost sub-models showed a surprising amount of variation between species and models and this was attributed to the amount and range of data used for their derivation and the different methods of formulating the swimming cost equations. Predictions of optimal velocity for large fish (>96 g) was influenced by the choice of swimming cost sub-model but optimal velocities for smaller fish were dependent on the capture success sub-model. More research is needed to validate the capture success sub-model, especially for larger fish sizes. Swimming costs while intercepting prey, and the cost of swimming in natural streams with turbulence, are other factors that remain uncertain.
Acknowledgements
We would like to thank Jordan Rosenfeld for suggesting this topic, Sean Naman for his support and two anonymous referees and Nicolas Lamouroux for suggested improvements. The study was partly funded by NIWA's (National Institute for Water and Atmospheric Research) Environmental Flows programme and the Cawthron Institute.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Notes
1 Substrate composition is not used as a habitat variable in drift-foraging bioenergetic models.
2 Velocity at which the prey is moving.
3 Turbulence was calculated for fish swimming at 1/10th of the water depth in 1 m of water.