2021
DOI: 10.1002/fsh.10516
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Geochemical Tools Identify the Origins of Chinook Salmon Returning to a Restored Creek

Abstract: Populations of Chinook Salmon Oncorhynchus tshawytscha in California are in decline due to the combined effects of habitat degradation, water diversions, and climate change. Reduced life history diversity within these populations inhibits their ability to respond to these stressors. Putah Creek, a small creek in California’s Central Valley that once supported Chinook Salmon, is undergoing restoration to provide spawning habitats for this imperiled species. Beginning in 2014, increasing numbers of Chinook Salmo… Show more

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Cited by 12 publications
(10 citation statements)
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“…Lastly, our study does not verify whether today’s Chinook population is self-sustaining with local smolts returning as successfully spawning adults. This should be further investigated via isotopic analysis of contemporary adult salmon carcass otoliths, as they possess the same elemental composition as when the otoliths formed in early life, and are thus natal stream specific [ 10 ].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Lastly, our study does not verify whether today’s Chinook population is self-sustaining with local smolts returning as successfully spawning adults. This should be further investigated via isotopic analysis of contemporary adult salmon carcass otoliths, as they possess the same elemental composition as when the otoliths formed in early life, and are thus natal stream specific [ 10 ].…”
Section: Discussionmentioning
confidence: 99%
“…The salmon runs approached 1,000 adult fish in the late 1990s but were nearly extirpated in the early 2000s when the Army Corps of Engineers and Santa Clara Valley Water District completed major anthropogenic alterations to the river mainstem to mitigate flooding. Contemporary San Francisco Bay watershed salmon runs have been attributed to hatchery strays, with very high rates of straying in recent drought years when hatchery-produced juvenile salmon were trucked downstream to the San Francisco Bay estuary to improve smolt survival [ 10 ]. Without a natal stream to home to as returning adults, these fish colonize new habitat for spawning.…”
Section: Introductionmentioning
confidence: 99%
“…The salmon runs approached 1,000 adult fish in the late 1990s but were nearly extirpated in the early 2000s when the Army Corps of Engineers and Santa Clara Valley Water District constructed major anthropomorphic alterations to the river mainstem to mitigate flooding. San Francisco Bay watershed salmon runs have been attributed to hatchery strays, with very high rates of straying in recent drought years when hatchery-produced juvenile salmon were trucked downstream to the San Francisco Bay estuary to improve smolt survival [9]. Without a natal stream to home to as adults, these fish return and colonize new habitat for spawning.…”
Section: Los Gatos Creek Guadalupe Creek and Alamitos Creek For Sementioning
confidence: 99%
“…Lastly, our study does not verify whether today's Chinook population is self-sustaining, that is whether local smolts eventually return as successfully spawning adults. This should be further investigated via isotopic analysis of contemporary adult salmon carcass otoliths, as they possess the same elemental composition as when the otoliths formed in early life, and are thus natal stream specific [9].…”
Section: Ichthyofaunal Analysismentioning
confidence: 99%
“…Solid lines are homogenous segments of otolith 87 Sr/ 86 Sr determined by regression tree analysis.Random forest (RF) classification was used to assign the archived Burbot otolith samples to their presumptive origins in the Kootenai River mainstem or the Palaeozoic and Proterozoic geologic formations. Random forest is a machine-learning method based on classification trees that have been used for provenance studies of fish involving both multi-(Tournois et al, 2017) and single-variate(Willmes et al, 2021) otolith markers. An important feature of RF is that it does not require the assumption of normal distribution for the data, and it has been shown to provide higher assignment accuracy compared to other classification methods(Mercier et al, 2011).…”
mentioning
confidence: 99%