Evidence map›Paper›PMID 41708906›Full record

ArticleScientific reports2026

Analyzing leaping and movement potential at a migratory barrier.

Daniel P Zielinski

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Daniel P ZielinskiGreat Lakes Fishery Commission, Ann Arbor, MI, 48105, USA. dzielinski@glfc.org.ORCID http://orcid.org/0000-0001-8113-9861

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Computational fluid dynamicsFish passageLeaping analysisModelSteelhead

Identifiers

PMID41708906
PMCPMC13013564

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.