Are the surface areas of the gills and body involved with changing metabolic scaling with temperature?

Abstract

The metabolic-level boundaries (MLB) hypothesis proposes that metabolic level mediates the relative influence of surface area (SA)- versus volume-related metabolic processes on the body-mass scaling of metabolic rate in organisms. The variation in the scaling of SA may affect how metabolic level affects the metabolic scaling exponent. This study aimed to determine the influence of increasing metabolic level at a higher temperature on the metabolic scaling exponent of the goldfish and determine the link between metabolic scaling exponents and SA parameters of both gills and body. The SA of gills and body and the resting metabolic rate (RMR) of the goldfish were assessed at 15°C and 25°C, and their mass scaling exponents were analyzed. The results showed a significantly higher RMR, with a lower scaling exponent, in the goldfish at a higher temperature. The SA of the gills and the total SA of the fish (TSA) were reduced with the increasing temperature. The scaling exponent of RMR () tended to be close to that of the TSA at a higher temperature. This suggests that temperature positively affects metabolic level but negatively affects The findings support the MLB hypothesis. The lower scaling exponent at a higher temperature can be alternatively explained as follows: the higher viscosity of cold water impedes respiratory ventilation and oxygen uptake and reduces metabolic rate more in smaller individuals than in larger individuals at lower temperature, thus resulting in a negative association between temperature and.

The combined effect of body size and temperature on oxygen consumption rates and the size‐dependency of preferred temperature in European perch Perca fluviatilis

“…Q 10 of SMR in fish is typically between 1.62 and 2.40 (Clarke & Johnston, 1999;Killen et al, 2016), with which the Q 10 of P. fluviatilis' SMR found in the present study (1.91) matches well. Although it is shown in previous studies (Ohlberger et al, 2012;Li et al, 2018), we found no interaction between temperature and body mass on SMR indicating no change in the mass scaling coefficient of SMR with temperature change in P. fluviatilis.…”

“…This variation can to a large extent be ascribed to ontogeny (Killen et al ., 2007) and the ecological lifestyle of a species (Killen et al ., 2016). Furthermore, temperature may also affect mass scaling exponents of ṀO 2 (Li et al ., 2018; Ohlberger et al ., 2012; Tirsgaard et al ., 2015), which was one of the main focusses of the present study.…”

“…However, the magnitude by which MMR can increase above SMR (called the factorial aerobic scope) stays virtually the same with increasing body mass, at least on an interspecific level (Lefevre et al, 2017). The mass scaling exponents of SMR have been shown to decrease with increasing temperature in several fish species (Li et al, 2018;Ohlberger et al, 2012). However, to what extent temperature affects mass scaling of MMR, aerobic scope and factorial aerobic scope remains largely unexplored; to date, only Tirsgaard et al (2015) has examined the combined effect of temperature and fish size on SMR and MMR within a species, showing that SMR scaled with a higher exponent than MMR in Atlantic cod Gadus morhua L. 1758 at higher temperatures.…”

Peer Review #1 of "Effects of temperature on metabolic scaling in black carp (v0.1)"

“…However, the underlying mechanisms of metabolic scaling remain unclear. Recently, a growing number of studies have implied that, in addition to the SA and metabolic level of whole organisms, SA at the organ level and the cellular level and their scaling may contribute to the allometric scaling of MR (Okie 2013;Hirst 2014;Luo et al 2015Luo et al , 2020Gillooly et al 2016;Li et al 2018).…”

“…However, the changes in the exponent b of the RMR (b R ) with temperature vary among species. In most cases, b R is reduced by increasing temperature (Xie and Sun 1990;Ohlberger et al 2007Ohlberger et al , 2008Ohlberger et al , 2012Killen et al 2010;Li et al 2018), which can be explained according to the metabolic level boundaries hypothesis (Glazier 2005(Glazier , 2008(Glazier , 2009(Glazier , 2010(Glazier , 2014. At high temperatures, high metabolic demand results in metabolic scaling being primarily determined by fluxes across surfaces (scaling as M 2/3 ).…”