2010
DOI: 10.1111/j.1600-0706.2009.18125.x
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Size-dependent thermal preferences in a pelagic fish

Abstract: Large fish often inhabit colder waters than small fish. Using a simple bioenergetic model, we found that the optimal temperature for growth should decrease with increasing body size. We predicted that this mechanism would produce an ontogenetic change in thermal preference and then tested our predictions with Pacific salmon, Oncorhynchus spp. In a laboratory experiment, the slope of a regression of growth increment on initial size became steeper with increasing temperature, so that the optimal temperature for … Show more

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Cited by 92 publications
(113 citation statements)
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“…The observed increase in CF was maximal in the small, and minimal in the large BSCs (Fig. 5), consistent with a decrease in the optimal temperature for growth with increasing body weight (Morita et al 2010). Only the largest BSC showed a decreasing trend in body condition through the 20 yr studied.…”
Section: Variation In Conditionsupporting
confidence: 74%
“…The observed increase in CF was maximal in the small, and minimal in the large BSCs (Fig. 5), consistent with a decrease in the optimal temperature for growth with increasing body weight (Morita et al 2010). Only the largest BSC showed a decreasing trend in body condition through the 20 yr studied.…”
Section: Variation In Conditionsupporting
confidence: 74%
“…Thus, this higher thermal effect on growth in the first year, whether it be direct or indirect, together with an expected higher prey productivity in warmer rivers, would establish spatial differences in growth between the rivers from the first year of life. In addition, ontogenetic changes in optimal temperature for growth, together with the improved ability of older individuals to move toward preferred temperature areas (Morita et al 2010), may progressively diminish the effect of water temperature on growth performance throughout the life span. Furthermore, the length of age-0 trout was influenced by a nonlinear effect of maximum water temperature.…”
Section: Discussionmentioning
confidence: 99%
“…Apparent changes in weight-at-age with temperature reflect both the direct physiological relationship of growth with temperature (typically dome-shaped, with a thermal optimum; Hanson et al, 1997;Holsman and Aydin, 2015), climate-driven shifts to prey quality and quantity (e.g., Heinz et al, 2013), and annual variation in size-selective mortality that may co-vary with temperature (e.g., Coyle et al, 2011;Hunt et al, 2011;Heinz et al, 2013). Our current approach could be improved by predicting growth in CEATTLE from bioenergetic algorithms used to predict consumption for an individual predator (e.g., Morita et al, 2010;Siddon et al, 2013). This should not alter results in the estimation phase, but could add a level of realism as well as "bottom-up" dynamics to the model under various future climate scenarios.…”
Section: ͵ʹmentioning
confidence: 99%