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Swimming Performance Assessment in Fishes
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Decoding burst swimming performance: a scaling perspective on time-to-fatigue.

Muhammad Usama Ashraf1, Daniel Nyqvist1, Claudio Comoglio1

  • 1Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Torino, Italy.

Journal of the Royal Society, Interface
|October 1, 2024
PubMed
Summary
This summary is machine-generated.

Researchers developed a new theoretical model for fish fatigue curves, improving predictions of swimming performance against water flow. This hydrodynamic approach offers a foundation for fish pass design and management.

Keywords:
burst swimmingfatigue curvefish locomotionscalingswimming performancetime-to-fatigue

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Area of Science:

  • * Fish biomechanics and hydrodynamics
  • * Ecological engineering and conservation

Background:

  • * Fatigue curves are crucial for understanding fish swimming performance and designing fish passage facilities.
  • * Current modeling relies on empirical data, which is time-consuming and expensive, lacking theoretical underpinnings.

Purpose of the Study:

  • * To develop a theoretical framework for modeling fish fatigue curves.
  • * To derive scaling laws linking fish fatigue time to flow velocity using hydrodynamic principles.

Main Methods:

  • * Theoretical analysis based on fish hydrodynamics.
  • * Derivation of scaling laws for fatigue time in the burst swimming range.
  • * Experimental validation using over 800 trials with five Cypriniformes species.

Main Results:

  • * Proposed theoretical scaling laws successfully link fatigue properties to flow velocities.
  • * Experimental data from Cypriniformes supported the theoretical predictions.
  • * The derived laws suggest potential universality across fish species and sizes.

Conclusions:

  • * The study provides a theoretical foundation for modeling fish fatigue curves.
  • * The findings offer a more efficient and predictive approach for ecological engineering applications.
  • * Further research across diverse fish species and sizes is recommended to confirm the general applicability of the scaling laws.