2019
DOI: 10.1111/jfb.14051
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Drivers of growth for Atlantic cod (Gadus morhua L.) in Icelandic waters – A Bayesian approach to determine spatiotemporal variation and its causes

Abstract: This study assesses spatiotemporal and sex‐specific growth of Atlantic cod Gadus morhua in Icelandic waters. We use a Bayesian approach which lends itself to fitting and comparing nested models such as these. We then compare fitted parameters of these models to potential explanatory variables using a redundancy analysis (RDA) to look for drivers of growth in G. morhua. Results indicate that models that incorporate differences in growth among time, space and sex are the best‐fitting models according to deviance… Show more

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Cited by 2 publications
(3 citation statements)
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References 68 publications
(104 reference statements)
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“…For example, individuals from a particular year class may experience good (or poor) environmental conditions during the juvenile phase and those positive (or negative) effects may be carried over during the life of fish and be manifested in future growth 48 . Such cohort-specific variation in growth was previously found in Icelandic cod 31 , suggesting persistent influences of extrinsic conditions, such as food availability modulated by intraspecific competition. Here, the importance of temperature conditions for the cohort mean growth was supported by the results of the within-group centering of the SST variable.…”
Section: Discussionsupporting
confidence: 73%
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“…For example, individuals from a particular year class may experience good (or poor) environmental conditions during the juvenile phase and those positive (or negative) effects may be carried over during the life of fish and be manifested in future growth 48 . Such cohort-specific variation in growth was previously found in Icelandic cod 31 , suggesting persistent influences of extrinsic conditions, such as food availability modulated by intraspecific competition. Here, the importance of temperature conditions for the cohort mean growth was supported by the results of the within-group centering of the SST variable.…”
Section: Discussionsupporting
confidence: 73%
“…Some of the potentially important predictors were excluded because the time series of relevant proxies relating to oceanography or prey dynamics are short in comparison with our century-long analysis. For example, the incorporation of time series on abundance of capelin 31 , as well as euphausiids or shrimps, constituting important food resources for Icelandic cod 35,36 , could provide a more complete picture of the environmental drivers of cod growth. The inclusion of large-scale climatic factors (e.g.…”
Section: Discussionmentioning
confidence: 99%
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