Evidence map›Paper›PMID 27293685›Full record

ArticleConservation physiology2015

Migration depth and residence time of juvenile salmonids in the forebays of hydropower dams prior to passage through turbines or juvenile bypass systems: implications for turbine-passage survival.

Xinya Li, Zhiqun D Deng, Richard S Brown, Tao Fu, Jayson J Martinez, Geoffrey A McMichael, John R Skalski, Richard L Townsend, Bradly A Trumbo, Martin L Ahmann and 1 more

Open access · goldAbstract read
In one paragraph

Article in Conservation physiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.5field-weighted citation impact, top 8% of its field
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

4 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
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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

11 authors at 3 institutions in 1 country.

Xinya LiPacific Northwest National Laboratory, Hydrology Group, 3320 Innovation Boulevard, PO Box 999, MSIN K9-33, Richland, WA 99352, USA.
Zhiqun D DengPacific Northwest National Laboratory, Hydrology Group, 3320 Innovation Boulevard, PO Box 999, MSIN K9-33, Richland, WA 99352, USA.
Richard S BrownPacific Northwest National Laboratory, Ecology Group, 3320 Innovation Boulevard, PO Box 999, MSIN K7-70, Richland, WA 99352, USA.
Tao FuPacific Northwest National Laboratory, Hydrology Group, 3320 Innovation Boulevard, PO Box 999, MSIN K9-33, Richland, WA 99352, USA.
Jayson J MartinezPacific Northwest National Laboratory, Hydrology Group, 3320 Innovation Boulevard, PO Box 999, MSIN K9-33, Richland, WA 99352, USA.
Geoffrey A McMichaelPacific Northwest National Laboratory, Ecology Group, 3320 Innovation Boulevard, PO Box 999, MSIN K7-70, Richland, WA 99352, USA.
John R SkalskiSchool of Aquatic and Fishery Sciences, University of Washington, 1325 Fourth Avenue, Suite 1820, Seattle, WA 98101, USA.
Richard L TownsendSchool of Aquatic and Fishery Sciences, University of Washington, 1325 Fourth Avenue, Suite 1820, Seattle, WA 98101, USA.
Bradly A TrumboUS Army Corps of Engineers, Walla Walla District, 201 N Third Avenue, Walla Walla, WA 99362, USA.
Martin L AhmannUS Army Corps of Engineers, Walla Walla District, 201 N Third Avenue, Walla Walla, WA 99362, USA.
Jon F RenholdsUS Army Corps of Engineers, Walla Walla District, 201 N Third Avenue, Walla Walla, WA 99362, USA.
Pacific Northwest National Laboratory · USUnited States Army Corps of Engineers · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Little is known about the three-dimensional depth distributions in rivers of individually marked fish that are in close proximity to hydropower facilities. Knowledge of the depth distributions of fish approaching dams can be used to understand how vulnerable fish are to injuries such as barotrauma as they pass through dams. To predict the possibility of barotrauma injury caused by pressure changes during turbine passage, it is necessary to understand fish behaviour relative to acclimation depth in dam forebays as they approach turbines. A guiding study was conducted using high-resolution three-dimensional tracking results of salmonids implanted with Juvenile Salmon Acoustic Telemetry System transmitters to investigate the depth distributions of subyearling and yearling Chinook salmon (Oncorhynchus tshawytscha) and juvenile steelhead (Oncorhynchus mykiss) passing two dams on the Snake River in Washington State. Multiple approaches were evaluated to describe the depth at which fish were acclimated, and statistical analyses were performed on large data sets extracted from ∼28 000 individually tagged fish during 2012 and 2013. Our study identified patterns of depth distributions of juvenile salmonids in forebays prior to passage through turbines or juvenile bypass systems. This research indicates that the median depth at which juvenile salmonids approached turbines ranged from 2.8 to 12.2 m, with the depths varying by species/life history, year, location (which dam) and diel period (between day and night). One of the most enlightening findings was the difference in dam passage associated with the diel period. The amount of time that turbine-passed fish spent in the immediate forebay prior to entering the powerhouse was much lower during the night than during the day. This research will allow scientists to understand turbine-passage survival better and enable them to assess more accurately the effects of dam passage on juvenile salmon survival.

Indexed as

Acclimation depthacoustic telemetryjuvenile salmonidmigration depththree-dimensional trackingturbine passage

Identifiers

PMID27293685
PMCPMC4778447
OpenAlexW2114282610

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.