Reducing the effect of overwater structures on migrating juvenile salmon: An experiment with light

Abstract Like many migratory species, anadromous juvenile salmon (Oncorhynchus spp.) rely heavily on light perception to orient themselves in space, capture prey, shoal, avoid predators, and migrate along the shoreline to the ocean. However, the continuous demographic expansion along the US West coast has modified many natural coastal environments and has created a new artificial light environment for these species. Among the contributing factors are the construction of large overwater structures such as ferry terminals that have interfered with juvenile salmon migration and behavior by reducing light availability in the salmon migratory pathway. We examined in this study whether the use of an artificial lighting system can mitigate the dock shading impacts on juvenile salmon behavior. A linear mixed effect model was used to analyze changes in individual fish behavior (due to dock shading and artificial lighting) within a shoal. Two different fish movement metrics were examined to characterize the change in behavior: swimming angular variation, and closest distance to the dock. Juvenile salmon avoided penetrating under the dock when strong shadow was present underneath it. Conversely, when artificial light was used to attenuate the dock edge shadow, it was able to mitigate to some extent the effect on juvenile salmon swimming behavior by making them swim closer to the dock with a higher directionality. But when light was used on a non-shaded area, it caused them to stay further away. Light could potentially be used as a method to mitigate dock shading but precautions need to be paid.

[1]  J. Manderson,et al.  The distribution of shallow water juvenile fishes in an urban estuary: The effects of manmade structures in the lower Hudson River , 1998 .

[2]  G. Boeuf,et al.  Does light have an influence on fish growth , 1999 .

[3]  D. Bates,et al.  Mixed-Effects Models in S and S-PLUS , 2001 .

[4]  M. Aitkin,et al.  Statistical Modelling Issues in School Effectiveness Studies , 1986 .

[5]  J. Duffy‐Anderson,et al.  Effects of municipal piers on the growth of juvenile fishes in the Hudson River estuary: a study across a pier edge , 1999 .

[6]  Christopher A. Myrick,et al.  A low-cost system for capturing and analyzing the motion of aquatic organisms , 2009, Journal of the North American Benthological Society.

[7]  Michael M. Mazur,et al.  A comparison of Visual Prey Detection Among Species of Piscivorous Salmonids: Effects of Light and Low Turbidities , 2003, Environmental Biology of Fishes.

[8]  E. Meijering,et al.  Tracking in molecular bioimaging , 2006, IEEE Signal Processing Magazine.

[9]  C. Simenstad,et al.  IMPACTS OF FERRY TERMINALS ON JUVENILE SALMON MIGRATING ALONG PUGET SOUND SHORELINES. PHASE I: SYNTHESIS OF STATE OF KNOWLEDGE , 1999 .

[10]  C. Hawryshyn,et al.  RETINOIC ACID MODULATES RETINAL DEVELOPMENT IN THE JUVENILES OF A TELEOST FISH , 1994, The Journal of experimental biology.

[11]  Thomas P. Quinn,et al.  Pacific Salmon Life Histories , 1992 .

[12]  L. Margolis,et al.  Pacific Salmon Life Histories , 1992 .

[13]  W. Hoar.  The Evolution of Migratory Behaviour among Juvenile Salmon of the Genus Oncorhynchus , 1958 .

[14]  J. R. Brett,et al.  Some Observations on the Structure and Photomechanical Responses of the Pacific Salmon Retina , 1958 .

[15]  C. Hawryshyn,et al.  Retinal development and visual sensitivity of young Pacific sockeye salmon (Oncorhynchus nerka) , 1996, The Journal of experimental biology.

[16]  Ernest O. Salo,et al.  THE ROLE OF PUGET SOUND AND WASHINGTON COASTAL ESTUARIES IN THE LIFE HISTORY OF PACIFIC SALMON: AN UNAPPRECIATED FUNCTION , 1982 .

[17]  C. W. May,et al.  Impacts of Ferry Terminals on Juvenile Salmon Movement along Puget Sound Shorelines , 2007 .

[18]  M. A. Ali,et al.  Retinal Responses of Pink Salmon associated with its Downstream Migration , 1959, Nature.

[19]  I. Jamieson,et al.  Multimodel inference in ecology and evolution: challenges and solutions , 2011, Journal of evolutionary biology.

[20]  Jeffery R. Cordell,et al.  Fish Distribution, Abundance, and Behavior along City Shoreline Types in Puget Sound , 2007 .

[21]  Qiang Wu,et al.  Microscope Image Processing , 2010 .

[22]  Julia K. Parrish,et al.  Animal Groups in Three Dimensions: Analysis , 1997 .

[23]  David R. Anderson,et al.  Model selection and multimodel inference : a practical information-theoretic approach , 2003 .

[24]  A. Gelman.  Scaling regression inputs by dividing by two standard deviations , 2008, Statistics in medicine.

[25]  D. Beauchamp,et al.  EFFECTS OF LARGE OVERWATER STRUCTURES ON EPIBENTHIC JUVENILE SALMON PREY ASSEMBLAGES IN PUGET SOUND, WASHINGTON , 2002 .

[26]  J. Dodson,et al.  Impact of exposure to a simulated predator (Mergus merganser) on the activity of juvenile Atlantic salmon (Salmo salar) in a natural environment , 2002 .

[27]  Colin Hunter,et al.  A video-based movement analysis system to quantify behavioral stress responses of fish. , 2004, Water research.

[28]  L. Holtby,et al.  Effects of solar ultraviolet radiation on the behaviour of juvenile coho salmon (Oncorhynchus kisutch): avoidance, feeding, and agonistic interactions , 2008 .

[29]  J. Haefner,et al.  The effect of avoidance behavior on predicting fish passage rates through water diversion structures , 2008 .

[30]  A. Zuur,et al.  Mixed Effects Models and Extensions in Ecology with R , 2009 .

[31]  Shinichi Nakagawa,et al.  A general and simple method for obtaining R2 from generalized linear mixed‐effects models , 2013 .

[32]  B. Berejikian,et al.  A Floating Bridge Disrupts Seaward Migration and Increases Mortality of Steelhead Smolts in Hood Canal, Washington State , 2013, PloS one.

[33]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[34]  Dennis W. Rondorf,et al.  Comparison of Subyearling Fall Chinook Salmon's Use of Riprap Revetments and Unaltered Habitats in Lake Wallula of the Columbia River , 2002 .

[35]  N. Haunerland,et al.  Photoreceptor layer of salmonid fishes: Transformation and loss of single cones in juvenile fish , 2006, The Journal of comparative neurology.

[36]  P. Stoltz,et al.  Light Requirements for Growth and Survival of Eelgrass (Zostera marina L.) in Pacific Northwest (USA) Estuaries , 2008 .

[37]  P. Sprent,et al.  Statistical Analysis of Circular Data. , 1994 .

[38]  M. Bothwell,et al.  Avoidance of solar ultraviolet radiation by juvenile coho salmon (Oncorhynchus kisutch) , 2002 .

[39]  H. Schielzeth.  Simple means to improve the interpretability of regression coefficients , 2010 .

[40]  W. Riley,et al.  Street lighting delays and disrupts the dispersal of Atlantic salmon (Salmo salar) fry , 2013 .

[41]  Nicolas Schtickzelle,et al.  Implementing image analysis in laboratory‐based experimental systems for ecology and evolution: a hands‐on guide , 2013 .

[42]  N. Fisher,et al.  Statistical Analysis of Circular Data , 1993 .

[43]  I. Levin,et al.  Correction of an image distorted by a wavy water surface: laboratory experiment. , 2008, Applied optics.

[44]  E. Batschelet.  Circular statistics in biology , 1981 .

[45]  A. Whitfield,et al.  Potential effects of artificial light associated with anthropogenic infrastructure on the abundance and foraging behaviour of estuary‐associated fishes , 2013 .

[46]  R. Tabor,et al.  Habitat Use by Juvenile Chinook Salmon in the Nearshore Areas of Lake Washington: Effects of Depth, Lakeshore Development, Substrate, and Vegetation , 2011 .

[47]  Erik Meijering,et al.  Chapter 15 – Time‐Lapse Imaging , 2008 .

[48]  Deborah J. Shafer,et al.  The effects of dock shading on the seagrass Halodule wrightii in Perdido Bay, Alabama , 1999 .

[49]  T. Quinn.  The Behavior and Ecology of Pacific Salmon and Trout , 2004 .

[50]  F. Huntingford,et al.  Seasonal changes in sheltering: effect of light and temperature on diel activity in juvenile salmon , 1997, Animal Behaviour.

[51]  R. Tabor,et al.  The Effect of Light Intensity on Sockeye Salmon Fry Migratory Behavior and Predation by Cottids in the Cedar River, Washington , 2004 .

[52]  S. Kato,et al.  A quantification of goldfish behavior by an image processing system , 1996, Behavioural Brain Research.

[53]  Alexei A. Efros,et al.  Seeing through water , 2004, NIPS.