Fish navigation of large dams emerges from their modulation of flow field experience

R Andrew Goodwin; Marcela Politano; Justin W Garvin; John M Nestler; Duncan Hay; James J Anderson; Larry J Weber; Eric Dimperio; David L Smith; Mark Timko

doi:10.1073/pnas.1311874111

Back

Fish navigation of large dams emerges from their modulation of flow field experience

Journal article

Open access

Peer reviewed

Fish navigation of large dams emerges from their modulation of flow field experience

R Andrew Goodwin, Marcela Politano, Justin W Garvin, John M Nestler, Duncan Hay, James J Anderson, Larry J Weber, Eric Dimperio, David L Smith and Mark Timko

Proceedings of the National Academy of Sciences - PNAS, Vol.111(14), pp.5277-5282

04/08/2014

DOI: 10.1073/pnas.1311874111

PMCID: PMC3986144

PMID: 24706826

Files and links (1)

url

https://doi.org/10.1073/pnas.1311874111View

Published (Version of record) Open Access

Abstract

Navigating obstacles is innate to fish in rivers, but fragmentation of the world's rivers by more than 50,000 large dams threatens many of the fish migrations these waterways support. One limitation to mitigating the impacts of dams on fish is that we have a poor understanding of why some fish enter routes engineered for their safe travel around the dam but others pass through more dangerous routes. To understand fish movement through hydropower dam environments, we combine a computational fluid dynamics model of the flow field at a dam and a behavioral model in which simulated fish adjust swim orientation and speed to modulate their experience to water acceleration and pressure (depth). We fit the model to data on the passage of juvenile Pacific salmonids (Oncorhynchus spp.) at seven dams in the Columbia/Snake River system. Our findings from reproducing observed fish movement and passage patterns across 47 flow field conditions sampled over 14 y emphasize the role of experience and perception in the decision making of animals that can inform opportunities and limitations in living resources management and engineering design.

Models, Theoretical

Environmental Monitoring

Swimming

Animals

Oncorhynchus - physiology

Details

Title: Subtitle: Fish navigation of large dams emerges from their modulation of flow field experience
Creators: R Andrew Goodwin - Environmental Laboratory, US Army Engineer Research and Development Center, Portland, OR 97208
Marcela Politano
Justin W Garvin
John M Nestler
Duncan Hay
James J Anderson
Larry J Weber
Eric Dimperio
David L Smith
Mark Timko
Resource Type: Journal article
Publication Details: Proceedings of the National Academy of Sciences - PNAS, Vol.111(14), pp.5277-5282
DOI: 10.1073/pnas.1311874111
PMID: 24706826
PMCID: PMC3986144
NLM abbreviation: Proc Natl Acad Sci U S A
ISSN: 0027-8424
eISSN: 1091-6490
Publisher: United States
Language: English
Date published: 04/08/2014
Academic Unit: Civil and Environmental Engineering; IIHR--Hydroscience and Engineering; Public Policy Center (Archive); Mechanical Engineering
Record Identifier: 9983991994702771

Metrics

36 Record Views

100 Times Cited - Web of Science