Analyzing leaping and movement potential at a migratory barrier

Evaluating passage performance at migratory barriers is essential for managing connectivity within a watershed and is essential for improvements to fish passage and, in some cases, with invasive species control. To quantify upstream passage opportunities at barriers with complex geometry, a 3-D stochastic leaping model that couples species-specific behavior with hydraulics derived from Computational Fluid Dynamics simulations is developed. The model expands on traditional ballistic-trajectory models to evaluate attempts from any location downstream of a barrier and integrates stochastic variation in fish characteristics—including body length, launch speed, and leap origin—while maintaining computationally-derived local velocity and depth inputs in three dimensions. The revised model provides a spatially detailed assessment of conditions most conducive to successful leaping attempts, offering a more comprehensive evaluation of conditional passage probability at migratory barriers. Applied to two case studies (Union Street Dam—calibration; FishPass arc–labyrinth and low-flow weir—design), the model predicted conditional passage probabilities ranged from < 1% at base flow to ~ 10% at a 200-year flood. Results highlight how barrier geometry, tailwater depth, and flow cues shape leaping success, providing actionable guidance for either facilitating desirable passage or strengthening migration barriers.

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Publication Details

Journal
Scientific Reports
Published
2026-02-18
DOI
https://doi.org/10.1038/s41598-026-40492-9
Primary Topic
Fish Ecology and Management Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Analyzing leaping and movement potential at a migratory barrier

Daniel P. Zielinski
Scientific Reports
Fish Ecology and Management Studies
article

Analyzing leaping and movement potential at a migratory barrier

Daniel P. Zielinski
article en

Abstract

Evaluating passage performance at migratory barriers is essential for managing connectivity within a watershed and is essential for improvements to fish passage and, in some cases, with invasive species control. To quantify upstream passage opportunities at barriers with complex geometry, a 3-D stochastic leaping model that couples species-specific behavior with hydraulics derived from Computational Fluid Dynamics simulations is developed. The model expands on traditional ballistic-trajectory models to evaluate attempts from any location downstream of a barrier and integrates stochastic variation in fish characteristics—including body length, launch speed, and leap origin—while maintaining computationally-derived local velocity and depth inputs in three dimensions. The revised model provides a spatially detailed assessment of conditions most conducive to successful leaping attempts, offering a more comprehensive evaluation of conditional passage probability at migratory barriers. Applied to two case studies (Union Street Dam—calibration; FishPass arc–labyrinth and low-flow weir—design), the model predicted conditional passage probabilities ranged from < 1% at base flow to ~ 10% at a 200-year flood. Results highlight how barrier geometry, tailwater depth, and flow cues shape leaping success, providing actionable guidance for either facilitating desirable passage or strengthening migration barriers.

Scientific ReportsVol. 16(1)
Great Lakes Fishery Commission (US)
Great Lakes Fishery Commission, Michigan State University, Michigan Department of Natural Resources, U.S. Fish and Wildlife Service, U.S. Geological Survey, College of Engineering, Michigan State University, Fisheries and Oceans Canada, U.S. Army Corps of Engineers
Openalex Percentile: Top 65%
Fish Ecology and Management Studies
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