2021
DOI: 10.1139/cjfas-2020-0392
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Temporal patterns and ecosystem correlates of chum salmon (Oncorhynchus keta) migration phenology in the Pacific Northwest

Abstract: Understanding and quantifying migration phenology of commercially harvested Pacific salmon (Oncorhynchus spp.) is a cornerstone for managing sustainable populations. Here, we use a multi-decadal data timeseries together with a hypothesis driven framework to evaluate migration phenology in adult fall and winter ecotype chum salmon (O. keta) in a poorly studied but highly managed system – the South Puget Sound (SPS) of Washington State, USA. Using generalized additive mixed models that accounted for temporal aut… Show more

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Cited by 4 publications
(2 citation statements)
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“…Warming-driven host–parasite decoupling has been reported among trematode parasites of amphibians ( 57 , 58 ), brood parasites of avian hosts ( 59 ), and nematode parasites of livestock ( 60 ). In Puget Sound, climate-driven phenological shifts are occurring among several potential hosts, including zooplankton ( 61 , 62 ), benthic invertebrates ( 63 ), and salmon ( 64 , 65 ). Such climate-driven temporal mismatching could produce the declines we observed among 3+-host parasites—declines that we would expect to observe primarily among those parasites with multiple host species whose phenology must align with that of the parasite for successful transmission.…”
Section: Discussionmentioning
confidence: 99%
“…Warming-driven host–parasite decoupling has been reported among trematode parasites of amphibians ( 57 , 58 ), brood parasites of avian hosts ( 59 ), and nematode parasites of livestock ( 60 ). In Puget Sound, climate-driven phenological shifts are occurring among several potential hosts, including zooplankton ( 61 , 62 ), benthic invertebrates ( 63 ), and salmon ( 64 , 65 ). Such climate-driven temporal mismatching could produce the declines we observed among 3+-host parasites—declines that we would expect to observe primarily among those parasites with multiple host species whose phenology must align with that of the parasite for successful transmission.…”
Section: Discussionmentioning
confidence: 99%
“…Generalized additive models (GAMs) offer a modeling approach that is readily interpretable while not assuming that relationships between predictors and response variables are linear, allowing nonlinear patterns in data to be identified (Venables and Dichmont 2004; Agha et al. 2021). In particular, GAMs produce nonlinear smoothing ( s ) terms, each of which has an estimated degrees of freedom (edf) that is proportional to the nonlinearity of its relationship with the response variable (edf = 1 is linear, edf > 1 is increasingly nonlinear).…”
Section: Methodsmentioning
confidence: 99%