Electro fishing
RESEARCH PROJECT

BAYeFISH

Updated: October 2026

Project overview

The official name of the project:
BAYeFISH: Optimizing the accuracy and efficiency of electrofishing-based monitoring through use of hierarchical Bayesian models
Project start: October 2026 Ending: October 2026
Project manager: Rebecca Whitlock
Contact: Rebecca Whitlock
Funded by: The Swedish Environmental Protection Agency

More related research

Short summary

The BAYeFISH project aims to develop a better method for analysing electrofishing data. The goal is to make more effective use of all the data collected and obtain more reliable estimates of fish abundance in Swedish rivers and streams.

Understanding the population dynamics of juvenile salmon and trout within their freshwater habitats is crucial for the sustainable management of salmon and trout populations. In Sweden, monitoring of juvenile salmon and trout populations in freshwater relies largely on electrofishing, a non-lethal technique that uses an electric field to temporarily stun the fish, after which they can be netted, counted, and measured. Electrofishing can be performed as a single pass or through repeated passes at the same location. In the case of repeated passes, fish are successively removed during each pass and held in buckets until all passes are complete. The decline in catch between passes allows estimation of the total fish density; and the more passes performed, the more accurate the resulting density estimate.

A large proportion of the data in the Swedish electrofishing database (SERS) comes from single pass electrofishing, yet at many sites three or even four passes have been conducted. Using current data analysis methods, it is only possible to estimate fish density from sites with at least two passes, and single pass data are usually excluded from analyses.  BAYeFISH will develop statistical models for juvenile fish density estimation that use all the available data. It will also utilize environmental data (for example water temperature and flow) collected during electrofishing experiments, to improve predictions of catch rates.

Detecting whether a fish population is stable, increasing, or decreasing is an important aspect of monitoring programs, yet the feasibility of doing so depends on the quality of the available data. BAYeFISH will investigate whether the current electrofishing monitoring program allows robust trend detection, and provide new insights about the experimental design of electrofishing monitoring (e.g. number of sampling sites and the number of fishing passes at each site) to allow detection of changes in population size over time. 

In our research catalogue, you will find more projects