Otolith δ13C values as a metabolic proxy: approaches and mechanical underpinnings
Ming-Tsung Chung A D , Clive N. Trueman B , Jane Aanestad Godiksen C and Peter Grønkjær A
+ Author Affiliations
- Author Affiliations
A Department of Bioscience, Section for Aquatic Biology, Aarhus University, DK-8000 Aarhus C, Denmark.
B Ocean and Earth Science, University of Southampton Waterfront Campus, European Way, Southampton, SO14 3ZH, UK.
C Institute of Marine Research, Postbox 1870 Nordnes, NO-5817 Bergen, Norway.
D Corresponding author. Email: mingtsungchung@bios.au.dk
Marine and Freshwater Research 70(12) 1747-1756 https://doi.org/10.1071/MF18317
Submitted: 28 August 2018 Accepted: 15 January 2019 Published: 26 March 2019
Journal Compilation © CSIRO 2019 Open Access CC BY-NC-ND
Abstract
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.
Additional keywords : bioenergetics, field metabolic rate, isotopic mixing models, oxygen consumption.
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