2013
DOI: 10.1073/pnas.1212858110
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Centennial-scale fluctuations and regional complexity characterize Pacific salmon population dynamics over the past five centuries

Abstract: Observational data from the past century have highlighted the importance of interdecadal modes of variability in fish population dynamics, but how these patterns of variation fit into a broader temporal and spatial context remains largely unknown. We analyzed time series of stable nitrogen isotopes from the sediments of 20 sockeye salmon nursery lakes across western Alaska to characterize temporal and spatial patterns in salmon abundance over the past ∼500 y. Although some stocks varied on interdecadal time sc… Show more

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Cited by 52 publications
(56 citation statements)
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“…The d 15 N values averaged 4.7% throughout the dated portion of the core, which is substantially higher than in salmon-free control lakes and generally consistent with expected values for similar spawning densities, suggesting that variation in d 15 N was related to MDN input (Finney et al 2000;Rogers et al 2013). For the first 1900 years (* 2000 BCE to 100 BCE) of the * 4000-year time series represented in the core, d 15 N averaged 4.9% (Figs.…”
Section: Resultsmentioning
confidence: 68%
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“…The d 15 N values averaged 4.7% throughout the dated portion of the core, which is substantially higher than in salmon-free control lakes and generally consistent with expected values for similar spawning densities, suggesting that variation in d 15 N was related to MDN input (Finney et al 2000;Rogers et al 2013). For the first 1900 years (* 2000 BCE to 100 BCE) of the * 4000-year time series represented in the core, d 15 N averaged 4.9% (Figs.…”
Section: Resultsmentioning
confidence: 68%
“…2, 4). Over the period from * 100 BCE to 550 CE, d 15 N abruptly declined to an average of 2.7%, which is closer to values * 2.3% observed in sediments of salmon-free reference lakes elsewhere in Alaska (Finney et al 2002;Rogers et al 2013) and suggests a significant, multi-centennial Upper Russian Lake Age Model (year and core depth) 2015 Fig. 3 Age at depth for the Upper Russian Lake master core, constructed from the 4 radiocarbon-dated macrofossils and 1 dateable tephra and assuming constant sedimentation rates between successive dated layers decline of Upper Russian Lake sockeye salmon abundance.…”
Section: Resultsmentioning
confidence: 72%
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