Open AccessUsing meta-analysis to derive a respiration model for Atlantic salmon (Salmo salar) to assess bioenergetics requirements of juveniles in two Canadian rivers
Author(s) -
Camille J. Macnaughton,
David Deslauriers,
Erinn Ipsen,
Emily Corey,
Eva C. Enders
Publication year - 2019
Publication title -
canadian journal of fisheries and aquatic sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.09
H-Index - 153
eISSN - 1205-7533
pISSN - 0706-652X
DOI - 10.1139/cjfas-2018-0436
Subject(s) - salmo , bioenergetics , juvenile , environmental science , respiration , ecology , range (aeronautics) , biology , fishery , energetics , fish <actinopterygii> , mitochondrion , composite material , microbiology and biotechnology , botany , materials science
Standard metabolic rates (SMRs) for Atlantic salmon (Salmo salar) have been calculated independently for different life stages and populations, but the absence of a comprehensive SMR model limits its application for modelling the energy use or life stage-specific growth. Atlantic salmon respiration data were compiled from a meta-analysis of 26 publications, and exponential or optimal relationships were fitted to the metadata to estimate respiration equation parameters and generate confidence intervals dependent on temperature and body mass. While model parameters were significant for both models, mass-corrected standard metabolic rates (g O 2 ·day −1 ) increased as a function of water temperature (°C) and decreased beyond ∼16 °C following an optimal relationship (AIC optimal = –9185.50 versus AIC exponential = –8948.95; ΔAIC = 236.55). Juvenile Atlantic salmon growth (cohorts 1 and 2) from bioenergetics simulations did not vary between Little Southwest Miramichi and Northwest Miramichi rivers; however, variation between simulations using the different respiration models (i.e., exponential versus optimal) led to differences in the way fish allocate energy throughout the year. Results from this analysis will inform conservation efforts for the species throughout its current range and predict the energetic requirements at juvenile life stages.