Use of otolith chemistry to discriminate juvenile Chinook salmon (Oncorhynchus tshawytscha) from different wild populations and hatcheries in Lake Huron

Marklevitz, Stephen A.C.; Fryer, Brian J.; Gonder, David; Yang, Zhaoping; Johnson, James E.; Moerke, Ashley H.; Morbey, Yolanda E.

doi:10.1016/j.jglr.2011.08.004

Cited by 17 publications

(15 citation statements)

References 34 publications

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“…The different water sources used are consistent from year to year (state fish hatchery managers, personal communication) and have been shown to be (1) significantly different elementally and (2) temporally stable (Boehler et al 2012). Otolith chemistry is a popular and effective method for discriminating among stocks of fish (Campana 1999;Elsdon et al 2008;Brenner et al 2012) and has been used widely in the Great Lakes Reichert et al 2010;Hayden et al 2011;Marklevitz et al 2011;Watson 2016). Most notably, it has been demonstrated that the otolith chemistry signatures of steelhead reared at different hatcheries around Lake Erie are significantly different and temporally stable, allowing stocks of steelhead from different year-classes to be accurately discriminated (Boehler et al 2012).…”

Section: Lake Erie Steelhead Origin and Strayingmentioning

confidence: 99%

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Application of Otolith Chemistry to Investigate the Origin and State‐Straying of Steelhead in Lake Erie Tributaries

et al. 2018

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In Lake Erie, the fishery for steelhead Oncorhynchus mykiss is overwhelmingly dominated by stocking from state agencies in Michigan, New York, Pennsylvania, and Ohio. Managers that stock steelhead may become concerned if a sizeable portion of the fish they stock do not return to the waters in which they were released and instead stray to other states (“state‐straying”). During fall 2009, spring 2010, and spring and fall 2015, we evaluated the origin and state‐straying of adult steelhead in five annually stocked tributaries of Lake Erie. We also investigated spatial differences in the origin and state‐straying of adult steelhead at different stream locations in two tributaries during 2015. Otolith chemistry signatures were first used to discriminate among yearling steelhead from each of the state hatcheries that stock Lake Erie and wild juveniles from Cattaraugus Creek, New York, and the Grand River, Ontario, resulting in a mean jackknifed classification accuracy of 88% (range = 72–100%). Otolith chemistry analysis was then performed on unknown‐origin adult steelhead collected in Lake Erie tributaries during the fall and spring spawning runs, and natal sources were identified by using source‐specific otolith chemical signatures. State‐strays averaged 46% (range = 13–88%) of the adult fish collected, and high percentages of strays were identified in Chautauqua Creek, New York (72%), and Cattaraugus Creek (88%). Steelhead collections in these New York tributaries during a second year revealed that the percentage of strays present was consistently high, and large proportions of strays were identified in both upstream and downstream locations. These results suggest that state‐straying is widespread in Lake Erie tributaries and that strays make up a large proportion of New York's Lake Erie tributary fishery. Strategies to reduce straying may include practicing upstream releases and reducing the number of hatchery fish that are released in some states.

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Section: Lake Erie Steelhead Origin and Strayingmentioning

confidence: 99%

“…; Marklevitz et al. ; Watson ). Most notably, it has been demonstrated that the otolith chemistry signatures of steelhead reared at different hatcheries around Lake Erie are significantly different and temporally stable, allowing stocks of steelhead from different year‐classes to be accurately discriminated (Boehler et al.…”

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Application of Otolith Chemistry to Investigate the Origin and State‐Straying of Steelhead in Lake Erie Tributaries

et al. 2018

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“…Initially, an attempt was made to classify fish by individual hatchery rather than state; however, yearlings from the four Pennsylvania hatcheries (especially Fairview, Tionesta, and 3-C-U) were so similar in otolith chemistry that the mean classification accuracy was poor (as low as 50%; similar to what Marklevitz et al (2011) found for juvenile Chinook salmon, O. tshawytscha, in close geographic proximity in Lake Huron). The primary reason for the similarity in the otolith chemistry signatures in the Pennsylvania hatcheries is that the hatcheries are not far apart (especially Fairview and 3-C-U), so water chemistry is similar, and fish are moved among hatcheries (although with a consistent annual pattern; Craig Vargason, Pennsylvania Hatchery Manager for Tionesta and Fairview State fish hatcheries, personal communication).…”

Section: Discussionmentioning

confidence: 98%

Within-stream release-site fidelity of steelhead trout from Lake Erie hatchery stocks

Boehler

Miner

Farver

et al. 2012

Journal of Great Lakes Research

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“…As previously mentioned, the decrease in Lake Michigan Alewife energy density, which probably occurred during the mid or late 1990s, could potentially lead to a substantial increase in the rate of Alewife consumption by Chinook Salmon . Finally, the surge in production of wild Chinook Salmon smolts originating from one tributary or set of tributaries to Georgian Bay of Lake Huron during the late 1990s or early 2000s, as documented by Johnson et al (2010) and Marklevitz et al (2011), may have led to a substantial increase in Chinook Salmon abundance in Lake Michigan between the 1994-1996 and 2009-2010 periods.…”

Section: Discussionmentioning

confidence: 99%

Chinook Salmon Foraging Patterns in a Changing Lake Michigan

et al. 2013

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Since Pacific salmon stocking began in Lake Michigan, managers have attempted to maintain salmon abundance at high levels within what can be sustained by available prey fishes, primarily Alewife Alosa pseudoharengus. Chinook Salmon Oncorhynchus tshawytscha are the primary apex predators in pelagic Lake Michigan and patterns in their prey selection (by species and size) may strongly influence pelagic prey fish communities in any given year. In 1994–1996, there were larger Alewives, relatively more abundant alternative prey species, fewer Chinook Salmon, and fewer invasive species in Lake Michigan than in 2009–2010. The years 2009–2010 were instead characterized by smaller, leaner Alewives, fewer alternative prey species, higher abundance of Chinook Salmon, a firmly established nonnative benthic community, and reduced abundance of Diporeia, an important food of Lake Michigan prey fish. We characterized Chinook Salmon diets, prey species selectivity, and prey size selectivity between 1994–1996 and 2009–2010 time periods. In 1994–1996, Alewife as prey represented a smaller percentage of Chinook Salmon diets than in 2009–2010, when alewife comprised over 90% of Chinook Salmon diets, possibly due to declines in alternative prey fish populations. The size of Alewives eaten by Chinook Salmon also decreased between these two time periods. For the largest Chinook Salmon in 2009–2010, the average size of Alewife prey was nearly 50 mm total length shorter than in 1994–1996. We suggest that changes in the Lake Michigan food web, such as the decline in Diporeia, may have contributed to the relatively low abundance of large Alewives during the late 2000s by heightening the effect of predation from top predators like Chinook Salmon, which have retained a preference for Alewife and now forage with greater frequency on smaller Alewives.

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Use of otolith chemistry to discriminate juvenile Chinook salmon (Oncorhynchus tshawytscha) from different wild populations and hatcheries in Lake Huron

Cited by 17 publications

References 34 publications

Application of Otolith Chemistry to Investigate the Origin and State‐Straying of Steelhead in Lake Erie Tributaries

Application of Otolith Chemistry to Investigate the Origin and State‐Straying of Steelhead in Lake Erie Tributaries

Within-stream release-site fidelity of steelhead trout from Lake Erie hatchery stocks

Chinook Salmon Foraging Patterns in a Changing Lake Michigan

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