2020
DOI: 10.1111/geb.13189
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Global analysis of fish growth rates shows weaker responses to temperature than metabolic predictions

Abstract: Aim: Higher temperatures increase the metabolic rate of ectothermic organisms up to a certain level and make them grow faster. This temperature-sensitivity of growth is frequently used to predict the long-term effects of climate warming on ectotherms. Yet, realized growth also depends on ecological factors and evolutionary adaptation. Here we study whether faster growth is observed along temperature clines within and between marine fish species from polar to tropical regions. Location: Global.

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Cited by 52 publications
(50 citation statements)
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“…First, large pelagics experience competition from demersal fish, thriving in regions where the demersals do not have support from benthic production (van Denderen et al, 2018), most notably in the low export, oligotrophic tropics. Second, the relationship between growth and temperature is lower for large pelagic fish than for small pelagic fishes (van Denderen et al, 2020), which could arise from metabolic rates that increase with temperature at a rate greater than the feeding rates and supports our parameterization. Third, basin-wide migrations of large pelagics across oligotrophic regions are often in search of favorable larval environments (e.g., Bakun, 2013;Reglero et al, 2014) during which adults feed advantageously at mesoscale features (e.g., Polovina et al, 2001;Nieblas et al, 2014) that are not represented in our global model with a 1 • resolution.…”
Section: Assumptions and Limitationssupporting
confidence: 72%
“…First, large pelagics experience competition from demersal fish, thriving in regions where the demersals do not have support from benthic production (van Denderen et al, 2018), most notably in the low export, oligotrophic tropics. Second, the relationship between growth and temperature is lower for large pelagic fish than for small pelagic fishes (van Denderen et al, 2020), which could arise from metabolic rates that increase with temperature at a rate greater than the feeding rates and supports our parameterization. Third, basin-wide migrations of large pelagics across oligotrophic regions are often in search of favorable larval environments (e.g., Bakun, 2013;Reglero et al, 2014) during which adults feed advantageously at mesoscale features (e.g., Polovina et al, 2001;Nieblas et al, 2014) that are not represented in our global model with a 1 • resolution.…”
Section: Assumptions and Limitationssupporting
confidence: 72%
“…In cases where food is limited, optimal growth temperatures are typically cooler (Jobling, 1995). Indeed, where temperaturedependent growth has been investigated across species, average growth along temperature clines tends to be weaker than predicted by metabolic theory, largely due to local ecosystem dynamics (van Denderen et al, 2020). Thus it is likely that our projections will overestimate juvenile habitat suitability in some areas.…”
Section: Model Caveats and Assumptionsmentioning
confidence: 87%
“…Predicting how climate change may alter the abundance and distribution of marine species is an important application of species distribution models (SDMs). The approach is rapidly expanding in the field of marine ecology (Freer et al, 2017;Robinson et al, 2017;Melo-Merino et al, 2020) and is increasingly being used to guide adaptive fisheries management, marine conservation plans, impact assessments, and policy decisions (Freer et al, 2017;Tittensor et al, 2019;Bryndum-Buchholz et al, 2020a). Species distribution forecast models combine known biological-environmental relationships with downscaled oceanographic models to project species range shifts under one or more Representative Concentration Pathways (RCPs) of greenhouse gas concentration trajectories.…”
Section: Introductionmentioning
confidence: 99%
“…It is, however, typically found and assumed that standard metabolic rate and natural feeding levels are proportional to routine metabolic rate and maximum consumption rate, respectively, and thus exhibit the same mass-scaling relationships (Kitchell et al 1977;Neuenfeldt et al 2020). Intraspecific growth rates may not appear to be unimodally related to temperature when measured over a temperature gradient across populations within a species (Denderen et al 2020), because each population can be adapted to local climate conditions and thus display different temperature optima. However, each population likely has a thermal optimum for growth, which differs between individuals of different size.…”
Section: Discussionmentioning
confidence: 99%