Categories: Swimming

Conduct of downstream swimming brown trout in accelerating and excessive stream velocity – Motion issues

This web page was created programmatically, to learn the article in its authentic location you may go to the hyperlink bellow:
https://www.biorxiv.org/content/10.64898/2026.04.22.720239v1
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Abstract

Studies on lively and sedated fish passing by way of generators and pumps present totally different mortality and harm charges for each circumstances. Consequently, fish conduct seems to play a considerable position in these outcomes. However, direct behavioral observations in hydraulic machines utilizing quantitative parameters to attract conclusions concerning the underlying mechanisms are hardly doable and stay understudied. In this research, we examined the conduct of grownup brown trout (Salmo trutta) in an experimental flume below hydraulic situations characterised by robust stream acceleration and excessive velocities typical of turbine and pump intakes. Fish motion conduct was analyzed primarily based on a quantitative method to allow the evaluation of swimming conduct even in stream velocities exceeding the dash swimming velocity of fish. The utility of Hidden Markov Models (HMM) to research exercise states and motion modes of fish from video monitoring knowledge demonstrated vital results of the spatial velocity gradient (SVG) and stream velocity on fish conduct. Notably, SVG emerged as the first set off for avoidance reactions when exceeding a threshold of 0.31 m/s/m. Fish exhibited distinct motion patterns below darkish and daylight situations, with extra avoidance reactions in darkness. Whereas a substantial proportion of fish in daylight elevated their swimming exercise within the zone had been stream velocity exceeded dash swimming velocity, in darkish situations no exercise peak occurred in the identical zone. The outcomes illustrate how hydraulic situations and lighting affect fish conduct. Integrating the behavioral guidelines recognized on this research into numerical mortality-risk fashions might considerably enhance their predictive accuracy. Thus, the findings permit for the event of much less fish harming engineering options for hydropower amenities and pumping stations.

Competing Interest Statement

The authors have declared no competing curiosity.


This web page was created programmatically, to learn the article in its authentic location you may go to the hyperlink bellow:
https://www.biorxiv.org/content/10.64898/2026.04.22.720239v1
and if you wish to take away this text from our website please contact us

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