Field metabolic rates of teleost fishes are recorded in otolith carbonate

Chung, Ming‐Tsung; Trueman, Clive N.; Godiksen, Jane Aanestad; Holmstrup, Mathias Engell; Grønkjær, Peter

doi:10.1038/s42003-018-0266-5

Cited by 82 publications

(138 citation statements)

References 67 publications

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“…In reality, activity scope may vary depending on life history traits and behavior (Killen, Norin, & Halsey, 2017), and field metabolic rates can be elevated with the presence of predators, which in turn can affect nutrient cycling (Dalton, Tracy, Hairston, & Flecker, 2018;Guariento et al, 2018). Refining established techniques, such as bio-telemetry (Norin & Clark, 2016) or otolith chemistry (Chung, Trueman, Godiksen, Holmstrup, & Grønkjaer, 2019) may improve estimates of field metabolic rates. Similarly, specific dynamic action (SDA), which is the metabolic rate needed to assimilate food (Hou et al, 2008) depends on the quality and quantity of food (McCue, 2006) (Casey et al, 2019) or compound-specific stable isotope analyses (Hopkins & Ferguson, 2012) permit improved insights into species-specific ingestion of prey resources.…”

Section: Discussionmentioning

confidence: 99%

Nutrient limitation, bioenergetics and stoichiometry: A new model to predict elemental fluxes mediated by fishes

et al. 2020

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Energy flow and nutrient cycling dictate the functional role of organisms in ecosystems. Fishes are key vectors of carbon (C), nitrogen (N) and phosphorus (P) in aquatic systems, and the quantification of elemental fluxes is often achieved by coupling bioenergetics and stoichiometry. While nutrient limitation has been accounted for in several stoichiometric models, there is no current implementation that permits its incorporation into a bioenergetics approach to predict ingestion rates. This may lead to biased estimates of elemental fluxes. Here, we introduce a theoretical framework that combines stoichiometry and bioenergetics with explicit consideration of elemental limitations. We examine varying elemental limitations across different trophic groups and life stages through a case study of three trophically distinct reef fishes. Further, we empirically validate our model using an independent database of measured excretion rates. Our model adequately predicts elemental fluxes in the examined species and reveals species‐ and size‐specific limitations of C, N and P. In line with theoretical predictions, we demonstrate that the herbivore Zebrasoma scopas is limited by N and P, and all three fish species are limited by P in early life stages. Further, we show that failing to account for nutrient limitation can result in a greater than twofold underestimation of ingestion rates, which leads to severely biased excretion rates. Our model improved predictions of ingestion, excretion and egestion rates across all life stages, especially for fishes with diets low in N and/or P. Due to its broad applicability, its reliance on many parameters that are well‐defined and widely accessible, and its straightforward implementation via the accompanying r‐package fishflux, our model provides a user‐friendly path towards a better understanding of ecosystem‐wide nutrient cycling in the aquatic biome. A free Plain Language Summary can be found within the Supporting Information of this article.

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Section: Discussionmentioning

confidence: 99%

Nutrient limitation, bioenergetics and stoichiometry: A new model to predict elemental fluxes mediated by fishes

et al. 2020

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“…2). Considering that the M oto term is constrained by both upper (,0.5) (Table 1) and lower boundaries (0), this may imply that the relationship is not a simple linear regression (Kalish 1991a), but an exponential decay model in increasing form (Chung et al 2019). It is critical that the relationship between M oto values and oxygen consumption should be widely investigated, especially across species.…”

Section: Relationship Between M Oto and Oxygen Consumptionmentioning

confidence: 99%

Otolith δ13C values as a metabolic proxy: approaches and mechanical underpinnings

Chung

Trueman

Godiksen

et al. 2019

Mar. Freshwater Res.

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Knowledge of metabolic costs associated with maintenance, foraging, activity and growth under natural conditions is important for understanding fish behaviours and the bioenergetic consequences of a changing environment. Fish performance in the wild and within a complex environment can be investigated by analysing individual-level field metabolic rate and, at present, the natural stable carbon isotope tracer in otoliths offers the possibility to reconstruct field metabolic rate. The isotopic composition of carbon in fish otoliths is linked to oxygen consumption through metabolic oxidation of dietary carbon. The proportion of metabolically derived carbon can be estimated with knowledge of δ13C values of diet and dissolved inorganic carbon in the water. Over the past 10 years, new techniques to study fish ecology have been developed, and these can be used to strengthen the application of otolith δ13C values as a metabolic proxy. Here, we illustrate the great potential of the otolith δ13C metabolic proxy in combination with other valuable and well-established approaches. The novel approach of the otolith δ13C metabolic proxy allows us to track the effects of ontogenetic and environmental drivers on individual fish physiology, and removes a major obstacle to understanding and predicting the performance of free-ranging wild fish.

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“…com/products/rstudio/; Wright, 2012, Team, 2014). The relationships between δ 13 C and SMR, MMR and AAS were modelled as a logarithmic relationship (Kalish, 1991a;Chung et al, 2019b):…”

Section: Statistical Analysesmentioning

confidence: 99%

“…Field studies have also revealed that δ 13 C relates to measures of swimming capacity (Sherwood and Rose, 2003), temperature-driven metabolic cycles (Wurster and Patterson, 2003) and ontogenetic reductions in mass-specific metabolic rate (Trueman et al, 2016;Wurster and Patterson, 2003). To date, only one study has directly related δ 13 C in otoliths to measures of metabolic rate, uncovering a significant negative relationship between δ 13 C and standard metabolic rate (SMR) in Atlantic cod (Chung et al, 2019b). Consequently, a gap exists in understanding how δ 13 C relates to other metabolic parameters.…”

Section: Introductionmentioning

confidence: 99%

Experimental support towards a metabolic proxy in fish using otolith carbon isotopes

Martino

Doubleday

Chung

et al. 2020

Journal of Experimental Biology

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Metabolic rate underpins our understanding of how species survive, reproduce and interact with their environment, but can be difficult to measure in wild fish. Stable carbon isotopes (δ 13 C) in ear stones (otoliths) of fish may reflect lifetime metabolic signatures but experimental validation is required to advance our understanding of the relationship. To this end, we reared juvenile Australasian snapper (Chrysophrys auratus), an iconic fishery species, at different temperatures and used intermittent-flow respirometry to calculate standard metabolic rate (SMR), maximum metabolic rate (MMR) and absolute aerobic scope (AAS). Subsequently, we analysed δ 13 C and oxygen isotopes (δ 18 O) in otoliths using isotope-ratio mass spectrometry. We found that under increasing temperatures, δ 13 C and δ 18 O significantly decreased, while SMR and MMR significantly increased. Negative logarithmic relationships were found between δ 13 C in otoliths and both SMR and MMR, while exponential decay curves were observed between proportions of metabolically sourced carbon in otoliths (M oto) and both measured and theoretical SMR. We show that basal energy for subsistence living and activity metabolism, both core components of field metabolic rates, contribute towards incorporation of δ 13 C into otoliths and support the use of δ 13 C as a metabolic proxy in field settings. The functional shapes of the logarithmic and exponential decay curves indicated that physiological thresholds regulate relationships between δ 13 C and metabolic rates due to upper thresholds of M oto. Here, we present quantitative experimental evidence to support the development of an otolithbased metabolic proxy, which could be a powerful tool in reconstructing lifetime biological trends in wild fish.

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Field metabolic rates of teleost fishes are recorded in otolith carbonate

Cited by 82 publications

References 67 publications

Nutrient limitation, bioenergetics and stoichiometry: A new model to predict elemental fluxes mediated by fishes

Nutrient limitation, bioenergetics and stoichiometry: A new model to predict elemental fluxes mediated by fishes

Otolith δ13C values as a metabolic proxy: approaches and mechanical underpinnings

Experimental support towards a metabolic proxy in fish using otolith carbon isotopes

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