Early ocean distribution of juvenile Chinook salmon in an upwelling ecosystem

Extreme variability in abundance of California salmon populations is often ascribed to ocean conditions, yet relatively little is known about their marine life history. To investigate which ocean conditions influence their distribution and abundance, we surveyed juvenile Chinook salmon (Oncorhynchus...

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Published in:Fisheries oceanography Vol. 25; no. 2; pp. 133 - 146
Main Authors: Hassrick, Jason L, Henderson, Mark J, Huff, David D, Sydeman, William J, Sabal, Megan C, Harding, Jeffrey A, Ammann, Arnold J, Crandall, Eric D, Bjorkstedt, Eric P, Garza, John Carlos, Hayes, Sean A
Format: Journal Article
Language:English
Published: Oxford Blackwell Science 01-03-2016
Blackwell Publishing Ltd
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Summary:Extreme variability in abundance of California salmon populations is often ascribed to ocean conditions, yet relatively little is known about their marine life history. To investigate which ocean conditions influence their distribution and abundance, we surveyed juvenile Chinook salmon (Oncorhynchus tshawytscha) within the California Current (central California [37°30′N) to Newport, Oregon (44°00′N]) for a 2‐week period over three summers (2010–2012). At each station, we measured chlorophyll‐a as an indicator of primary productivity, acoustic‐based metrics of zooplankton density as an indicator of potential prey availability and physical characteristics such as bottom depth, temperature and salinity. We also measured fork lengths and collected genetic samples from each salmon that was caught. Genetic stock identification revealed that the majority of juvenile salmon were from the Central Valley and the Klamath Basin (91–98%). We constructed generalized logistic‐linear negative binomial hurdle models and chose the best model(s) using Akaike's Information Criterion (AIC) to determine which covariates influenced the salmon presence and, at locations where salmon were present, determined the variables that influenced their abundance. The probability of salmon presence was highest in shallower waters with a high chlorophyll‐a concentration and close to an individual's natal river. Catch abundance was primarily influenced by year, mean fork length and proximity to natal rivers. At the scale of sampling stations, presence and abundance were not related to acoustic indices of zooplankton density. In the weeks to months after ocean entry, California's juvenile Chinook salmon population appears to be primarily constrained to coastal waters near natal river outlets.
Bibliography:http://dx.doi.org/10.1111/fog.12141
istex:27488A3C5213F1302C4DEEFE0E8EF0F3CA00E145
Figure S1. Hurdle model response plots for the Klamath River stock. (a) Zero-truncated negative binomial estimated catch of juvenile salmon as a function of mean fork length. Logistic regression estimates of capture probability as a function of (b) chlorophyll-a and (c) distance to natal river. In these plots, only the variable of interest is changed and all other model variables are held constant at their median value. The black line is the output from the hurdle model and the gray lines are the output from 100-k fold model runs to provide an indication of model error. The rugs along each x-axis show the range of the observed data.Table S1. Logistic regression model selection table for all models with and AICc weight >1. Model response is the probability of fish presence in a haul. Model variables are the distance between a haul location and the natal river (dist), concentration of chlorophyll-a (chla), station depth (depth), acoustic estimate of prey abundance (NASC), salinity (sal), temperature (temp) and survey year (year). Table S2. Zero-truncated negative binomial model selection table for all models with an AICc weight >1. Model response was the number of salmon caught in a haul. Model variables are the survey year (year), the mean fork length in each haul (FL), distance between a haul location and the natal river (dist), concentration of chlorophyll-a (chla), acoustic estimate of prey abundance (NASC), station depth (depth), salinity (sal) and temperature (temp).
ark:/67375/WNG-KQLWFQV6-G
ArticleID:FOG12141
Delta Stewardship Council with California Sea
Marisla Foundation
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1054-6006
1365-2419
DOI:10.1111/fog.12141