2020
DOI: 10.1038/s41586-020-2721-y
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Metabolic trait diversity shapes marine biogeography

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Cited by 176 publications
(253 citation statements)
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“…This would entail developing models that can be used to predict the gill surface area from gill slit height obtained from either physical specimens or field guide illustrations. Subsequently, this gill surface area can be used to then infer energy expenditure, life history and even connect to the broader goals of macrophysiology—predicting ecological dynamics such as biogeography from physiology ( Bigman et al , 2018 ; Healy et al , 2019 ; Deutsch et al , 2020 ). Finally, we chose to focus on just one field guide because Ebert et al .…”
Section: Discussionmentioning
confidence: 99%
“…This would entail developing models that can be used to predict the gill surface area from gill slit height obtained from either physical specimens or field guide illustrations. Subsequently, this gill surface area can be used to then infer energy expenditure, life history and even connect to the broader goals of macrophysiology—predicting ecological dynamics such as biogeography from physiology ( Bigman et al , 2018 ; Healy et al , 2019 ; Deutsch et al , 2020 ). Finally, we chose to focus on just one field guide because Ebert et al .…”
Section: Discussionmentioning
confidence: 99%
“…Our global database and analysis of OGP in marine bivalves confirms that growth increases with decreasing latitude (Moss et al., 2016; Pörtner et al., 2005), but we reveal that the form of this relationship is nonlinear and depends on biogeographical context. Latitudinal variation of physiological parameters has previously been associated with seasonality and genetic adaptations to a specific temperature range (Yamahira & Conover, 2002), although temperature dependent hypoxia may also have a major role in determining biogeographical patterns (Deutsch et al, 2020). Regional disparities observed here can, however, be linked to specific circumstances; for example, the lower mean OGP found in the Mediterranean is likely related to growth limitation through lower food availability in this largely oligotrophic region (Siokou‐Frangou et al., 2010), a view supported by laboratory experiments on bryzoans (Svensson & Marshall, 2015) and Antarctic bivalves (Román‐González et al., 2017).…”
Section: Discussionmentioning
confidence: 99%
“…The nonlinear relationship of OGP with temperature and latitude suggests that other ecological and phylogenetic constraints will exist across a latitudinal gradient and between ecological realms (Parmesan & Yohe, 2003), but these may be underestimated or ignored when traditional assumptions on thermal relationships are applied in isolation (Spence & Tingley, 2020). This carries implications for the way we assess physiological responses to climate change scenarios (Clarke, 2003; Feder et al., 2000) as the consequences of climate change will differ at local scales (Stuart‐Smith et al., 2015), or across species distributions (Deutsch et al, 2020). Climate change is not consistently expressed across latitude ranges and while experimental approaches have persistently shown the greatest severity of warming on physiology to be within tropical (Deutsch et al., 2008; Tewksbury et al., 2008) and across both polar realms (Peck et al., 2004; Pörtner et al., 2007), contradictory linear relationships with greatest thermal capacity at the tropics have also been identified (Seebacher et al., 2014).…”
Section: Discussionmentioning
confidence: 99%
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“…Metabolic scaling is also applied in influential size-based models predicting animal responses to climate change (Cheung et al 2013;Deutsch et al 2015Deutsch et al , 2020, and in metabolic growth models predicting the maximum biomass that can be sustainably harvested from exploited populations (e.g. stock assessments in fisheries; von Bertalanffy 1957; Andersen 2019).…”
Section: Introductionmentioning
confidence: 99%