Allometric scaling of mammalian metabolism
Open accessAbstract
The importance of size as a determinant of metabolic rate (MR) was first suggested by Sarrus and Rameaux over 160 years ago. Max Rubner's finding of a proportionality between MR and body surface area in dogs (in 1883) was consistent with Sarrus and Rameaux's formulation and suggested a proportionality between MR and body mass (Mb) raised to the power of 2/3. However, interspecific analyses compiled during the first half of the 20th century concluded that mammalian basal MR (BMR, ml O2 h(-1)) was proportional to Mb3/4, a viewpoint that persisted for seven decades, even leading to its common application to non-mammalian groups. Beginning in 1997, the field was re-invigorated by three new theoretical explanations for 3/4-power BMR scaling. However, the debate over which theory accurately explains 3/4-power scaling may be premature, because some authors maintain that there is insufficient evidence to adopt an exponent of 3/4 over 2/3. If progress toward understanding the non-isometric scaling of BMR is ever to be made, it is first essential to know what the relationship actually is. We re-examine previous investigations of BMR scaling by standardising units and recalculating regression statistics. The proportion of large herbivores in a data set is positively correlated both with the scaling exponent (b, where BMR=aMb b) and the coefficient of variation (CV: the standard deviation of ln-ln residuals) of the relationship. Inclusion of large herbivores therefore both inflates b and increases variation around the calculated trendline. This is related to the long fast duration required to achieve the postabsorptive conditions required for determination of BMR, and because peak post-feeding resting MR (RMRpp) scales with an exponent of 0.75+/-0.03 (95% CI). Large herbivores are therefore less likely to be postabsorptive when MR is measured, and are likely to have a relatively high MR if not postabsorptive. The 3/4 power scaling of RMRpp is part of a wider trend where, with the notable exception of cold-induced maximum MR (b=0.65+/-0.05), b is positively correlated with the elevation of the relationship (higher MR values scale more steeply). Thus exercise-induced maximum MR (b=0.87+/-0.05) scales more steeply than RMRpp, field MR (b=0.73+/-0.04), thermoneutral resting MR (RMRt, b=0.712+/-0.013) and BMR. The implication of this observation is that contamination of BMR data with non-basal measurements is likely to increase the BMR scaling exponent even if the contamination is randomly distributed with respect to Mb. Artificially elevated scaling exponents can therefore be accounted for by the inclusion of measurements that fail to satisfy the requirements for basal metabolism, which are strictly defined (adult, non-reproductive, postabsorptive animals resting in a thermoneutral environment during the inactive circadian phase). Similarly, a positive correlation between Mb and body temperature (Tb) and between Tb and mass-independent BMR contributes to elevation of b. While not strictly a defined condition for the measurement of BMR, the normalisation of BMR measurements to a common Tb (36.2 degrees C) to achieve standard metabolic rate (SMR) further reduces the CV of the relationship. Clearly the value of the exponent depends on the conditions under which the data are selected. The exponent for true BMR is 0.686 (+/-0.014), Tb normalised SMR is 0.675 (+/-0.013) and RMRt is 0.712 (+/-0.013).
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Claims the paper makes
6 of 42 cited sources checked · 3 supported · 1 flagged · accuracy not yet measured
- Findingcitation§ Allometric scaling of mammalian metabolism
With the exclusion of suspected non-basal lineages, BMR scales with an exponent of 0.686±0.014 (95% CI).
“With the exclusion of these suspected non-basal lineages, White and Seymour (2003) found that BMR scales with an exponent of 0.686±0.014(Fig. •4).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites White and Seymour, 2003 source
The Results (page not provided) report that, after excluding the specified lineages, the interspecific BMR scaling exponent was 0.68. Our copy does not give the more precise value 0.686 or the stated ±0.014 confidence interval; it also reports an interordinal exponent of 0.65. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Findingcitation
BMR scaling patterns observed for mammals and birds are not greatly altered by the inclusion of phylogenetic information.
“Although none of the regressions presented here account for shared descent, BMR scaling patterns observed for mammals and birds are not greatly altered by the inclusion of such information (White and Seymour, 2003;McKechnie and Wolf, 2004).”
Quote in the paperSubstantial claim1 of 2 sources checked - Findingcitation
T_b is significantly correlated (r≈0.55) with the residual variation in mammalian BMR.
“T b is significantly correlated (r≈0.55) with the residual variation in mammalian BMR (White and Seymour, 2003)”
Quote in the paperSubstantial claim1 of 1 sources checked- cites White and Seymour, 2003 source
- Findingnone given
In herbivorous mammals, mean retention time (MRT) scales positively with an exponent of 0.17±0.05 (95% CI), regardless of whether the main site of fermentation is the foregut, hindgut or caecum.
“In herbivorous mammals, MRT scales positively with an exponent of 0.17±0.05(95% CI), regardless of whether the main site of fermentation is the foregut, hindgut or caecum (Fig. •2).”
Quote in the paperSubstantial claim
- Findingcitation§ Allometric scaling of mammalian metabolism
Relaxation of the requirements for estimation of BMR to include species that may not be postabsorptive (thermoneutral RMR or RMR_t) results in an increase of the scaling exponent to 0.712±0.013.
“Relaxation of the requirements for estimation of BMR to include species that may not be postabsorptive (thermoneutral RMR or RMR t : Speakman et al., 2003) results in an increase of the scaling exponent to 0.712±0.013(recalculated from Savage et al., 2004).”
Quote in the paperSubstantial claim0 of 2 sources checked - Findingcitation
The Q10 relating T_b and BMR was estimated to be 2.8.
“This exponent was subsequently used to estimate the Q 10 relating T b and BMR, which was equal to 2.8 (White and Seymour, in press).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites White and Seymour, in press
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingown data
SMR scales with exponent 0.675±0.013.
“SMR (b=0.675±0.013;Fig. •5)”
- Also stated in: § Conclusion · plain
“euthermic mammal SMR=4.14Mb 0.675±0.013(95% CI) , r 2 =0.96,N=469”
Quote in the paperSubstantial claim - Also stated in: § Conclusion · plain
- Findingown data
RMR_pp scales with exponent 0.75±0.03.
“RMR pp (b=0.75±0.03;Fig. •3)”
Quote in the paperSubstantial claim - Findingown data
BMR scales with exponent 0.686±0.014.
“BMR (b=0.686±0.014;Fig. •4)”
- Also stated in: § Conclusion · plain
“Doing so results in determination of a scaling exponent for true BMR of 0.686±0.014.”
Quote in the paperSubstantial claim - Also stated in: § Conclusion · plain
- Findingown data
MMR_e scales with exponent 0.87±0.05.
“MMR e =16.7M b 0.87±0.05(95% CI) , r 2 =0.98,N=36”
Quote in the paperSubstantial claim - Findingown data
MMR_c scales with exponent 0.65±0.05.
“MMR c =31.6=M b 0.65±0.05”
Quote in the paperSubstantial claim - Findingown data
For the remaining MR values, the scaling exponent b is significantly positively correlated with the elevation of the relationship.
“For the remaining MR values, b is significantly positively correlated with the elevation of the relationship (Fig. •7)”
- Also stated in: § Conclusion · plain
“The relationship is significant (r=0.97,P=0.001), with the data for cold-induced maximum metabolic rate (C, unfilled symbol) excluded.”
Quote in the paperSubstantial claim - Also stated in: § Conclusion · plain
- Interpretationcitation
The increase in coefficient of variation and scaling exponent with inclusion of large herbivores can be explained by the difficulty in obtaining the conditions necessary for BMR measurement.
“These observations can both be explained by the difficulty in obtaining the conditions necessary for the measurement of BMR, which are strictly defined (McNab, 1997).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites McNab, 1997 source
- Interpretationreasoning§ Allometric scaling of mammalian metabolism
To arrive at a precise estimate of the scaling exponent relating BMR and M_b, it is necessary to exclude large herbivores, together with other lineages for which basal conditions are unlikely to be achieved (Macropodidae, Lagomorpha, and Soricidae).
“To arrive at a precise estimate of the scaling exponent relating BMR and M b , it is therefore necessary to exclude these large herbivores, together with other lineages for which basal conditions are unlikely to be achieved (Macropodidae, Lagomorpha, and Soricidae).”
Quote in the paperSubstantial claim - Interpretationreasoning
Where r^2 is low, the OLS exponent is likely to be an underestimate.
“Where r 2 is low, however, the OLS exponent is likely to be an underestimate.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The peak factorial increase in metabolism following feeding (=RMR_pp/BMR) is positively correlated with body mass in mammals.
“The peak factorial increase in metabolism following feeding (=RMR pp /BMR) is therefore positively correlated with body mass in mammals, as has been documented intraspecifically for Burmese pythons Python molurus (Secor and Diamond, 1997) and cane toads Bufo marinus (Secor and Faulkner, 2002).”
Quote in the paperNot a substantial claim0 of 2 sources checked - Interpretationreasoning
Inclusion of non-postabsorptive measurements is likely to increase the scaling exponent for BMR, even if such measurements are randomly distributed with respect to body mass.
“Inclusion of non-postabsorptive measurements is therefore likely to increase the scaling exponent for BMR, even if such measurements are randomly distributed with respect to body mass.”
Quote in the paperSubstantial claim - Premisecitation
RMR_t scales with exponent 0.712±0.013.
“RMR t (b=0.712±0.013;Savage et al., 2004)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Savage et al., 2004 source
- Interpretationreasoning
Inclusion of non-basal measurements is likely to increase the scaling exponent even if these measurements are randomly distributed with respect to body mass.
“As is the case for the inclusion of nonpostabsorptive measurements, the inclusion of non-basal measurements is therefore likely to increase the scaling exponent even if these measurements are randomly distributed with respect to body mass.”
Quote in the paperSubstantial claim - Interpretationcitation
MMR_c scales with an exponent similar to surface area.
“and therefore scales with an exponent similar to surface area (Reynolds, 1997).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Reynolds, 1997 source
- Study design and conductown data
The pattern of scaling exponents is observed both for OLS and RMA regression exponents.
“This pattern is observed both for OLS and RMA regression exponents (Table •2).”
Quote in the paperSubstantial claim - Premisecitation
When BMR data for birds are rigorously selected, BMR scales with an exponent of 0.669.
“Similarly, McKechnie and Wolf (2004) have recently shown that when BMR data for birds are rigorously selected, BMR scales with an exponent of 0.669.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites McKechnie and Wolf (2004) source
- Interpretationown data
Higher MRs scale more steeply.
“so higher MRs scale more steeply:”
Quote in the paperSubstantial claim - Study design and conductnone given
Measurements of both body surface area and MMR_c are available for too few species to determine if there is any relationship between the residual variation in these traits.
“Unfortunately, measurements of both body surface area and MMR c are available for too few species to determine if there is any relationship between the residual variation in these traits.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Past failures to strictly adhere to the requirements for the measurement of BMR are likely to have contributed to the generation of inflated scaling exponents.
“Whereas it might be expected that non-basal measurements would increase only the elevation of the scaling relationship and leave the exponent unaffected, past failures to strictly adhere to the requirements for the measurement of BMR are therefore likely to have contributed to the generation of inflated scaling exponents.”
Quote in the paperSubstantial claim - Premisecitation
After removal of body mass effects, BMR is significantly correlated with residuals for a variety of physiological and ecological variables including maximum metabolic rate, field metabolic rate, resting heart rate, lifespan, litter size and population density.
“after the removal of body mass effects, BMR is significantly correlated with the residuals for a variety of physiological and ecological variables including maximum metabolic rate, field metabolic rate, resting heart rate, lifespan, litter size and population density (White and Seymour, in press).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites White and Seymour, in press
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
FMR scales with exponent 0.73±0.04.
“FMR (b=0.73±0.04;Nagy et al., 1999)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Nagy et al., 1999 source
- Premisecitation
Rubner (1883) found that the metabolic rate of resting dogs was independent of mass when divided by surface area.
“Rubner (1883) found that the metabolic rate of resting dogs was independent of mass when divided by surface area.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Rubner, 1883
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- May combine two claims. 21
- Classified as probably not a substantial claim. 3
May combine two claims.
Findingown dataContrary to Kleiber's finding, the exclusion of large herbivores from recent data sets decreases the scaling exponent and decreases variation around the regression line.
“Contrary to Kleiber's finding (Kleiber, 1932), the exclusion of large herbivores from recent data sets does decrease the scaling exponent and also decreases variation around the regression line (Fig. •1).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Kleiber, 1932 source
The Table 1 discussion (p. 8) reports that excluding ruminants lowered the best-fitting exponent from 0.74 to 0.73 and could lower the coefficient of variability from ±7.6% to ±5.6%. Kleiber’s reported direction of change therefore agrees with, rather than runs contrary to, the trend the citing sentence describes. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationKleiber (1932, 1961) found that metabolic rate was proportional to body mass raised to an exponent significantly greater than 2/3, and a value of 3/4 was subsequently adopted.
“Kleiber (1932Kleiber ( , 1961) ) found that metabolic rate was proportional to body mass raised to an exponent significantly greater than 2/3, and a value of 3/4 was subsequently adopted.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Kleiber, 1932 source
Table 1 (p. 8) reports that 0.74 was the best-fitting exponent for the thirteen animal groups. But the same section says the data were inadequate to decide conclusively between exponents near 2/3 and 3/4, so it does not establish an exponent significantly greater than 2/3. Application of Results (p. 24) says further investigation might favor a unit other than W³/⁴; this 1932 paper does not document its subsequent adoption. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites Kleiber, 1961
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
FindingcitationInclusion of large herbivores in recent BMR scaling studies increases the coefficient of variation of the relationship and increases the scaling exponent.
“A comparison of recent BMR scaling studies (since 1984) reveals that the inclusion of large herbivores both increases the coefficient of variation of the relationship (the standard deviation of ln-ln residuals; Garland, 1984) and increases the scaling exponent (Fig. •1).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Garland, 1984 source
May combine two claims.
FindingcitationLarge herbivores (Artiodactyla, Perissodactyla, Proboscidea) represent only 5% of Mammalia but comprise 28-39% of the data in seminal BMR scaling analyses.
“Whereas these groups (henceforth referred to as 'large herbivores') represent only 5% of Mammalia (Nowak, 1999), they comprise 28-39% of the data in these seminal analyses (Table •1).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Nowak, 1999 source
May combine two claims.
FindingreasoningThe SMR scaling exponent for hibernating mammals (b=0.87; 95% CI, 0.79-0.94) is significantly different to that of euthermic (b=0.675; 95% CI, 0.663-0.688) and torpid ones (b=0.67; 95% CI, 0.56-0.77).
“As such, the SMR scaling exponent for hibernating mammals (b=0.87;95% CI, 0.79-0.94) is significantly different to that of euthermic (b=0.675;95% CI, 0.663-0.688)and torpid ones (b=0.67;95% CI, 0.56-0.77;Fig. •5).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe Q10 for euthermic mammals (2.8; 95% CI, 2.4-3.2) is not significantly different to that found for hibernating (Q10=2.2; 95% CI, 1.7-2.8) or torpid ones (Q10=2.4; 95% CI, 1.6-3.5).
“Interestingly, the Q 10 for euthermic mammals (2.8; 95% CI, 2.4-3.2) is not significantly different to that found for hibernating (Q 10 =2.2; 95% CI, 1.7-2.8)or torpid ones (Q 10 =2.4; 95% CI, 1.6-3.5),although the exact values for hibernating and torpid animals are quite uncertain.”
Quote in the paperSubstantial claimMay combine two claims.
FindingcitationWhen normalised to a common T_b according to the Q10 principle, the BMR values of birds and mammals do not differ in allometric coefficient or exponent, nor do the BMR values of eutherians and marsupials.
“when normalised to a common T b according to the Q 10 principle, the BMR values of birds and mammals do not differ in allometric coefficient or exponent, nor do the BMR values of eutherians and marsupials (White and Seymour, in press).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites White and Seymour, in press
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
FindingreasoningOnce normalised to a euthermic T_b (36.2°C), the metabolic rate of torpid mammals is equivalent to that of euthermic mammals, whilst small hibernating mammals show an additional suppression of metabolic rate.
“Once normalised to a euthermic T b (36.2°C), the metabolic rate of torpid mammals is equivalent to that of euthermic mammals, whilst small hibernating mammals show an additional suppression of metabolic rate.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMMR_e scales with an exponent greater than RMR_pp, FMR, RMR_t, BMR, and SMR.
“MMR e (b=0.87±0.05;Fig. •6A) scales with an exponent greater than RMR pp (b=0.75±0.03;Fig. •3), FMR (b=0.73±0.04;Nagy et al., 1999), RMR t (b=0.712±0.013;Savage et al., 2004), BMR (b=0.686±0.014;Fig. •4) and SMR (b=0.675±0.013;Fig. •5).”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
FindingcitationThe percentage of large herbivores in a BMR data set is significantly correlated with the coefficient of variation and scaling exponent of the allometric relationship between BMR and body mass.
“Relationship between the percentage of large herbivores in a basal metabolic rate (BMR) data set and the coefficient of variation (CV, the standard deviation of residuals from a ln-ln allometric relationship;Garland, 1984) and scaling exponent (shown ±95% CI) of the allometric relationship between BMR and body mass.Both correlations are significant (CV: r=0.92,P<0.0001; scaling exponent: r=0.85,P=”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Garland, 1984 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationRuminants may require 7 days to arrive at a postabsorptive state, although such a state may in fact be unachievable.
“However, ruminants may require 7 days to arrive at a postabsorptive state (Blaxter, 1962), although such a state may in fact be unachievable (McNab, 1997).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Blaxter, 1962
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites McNab, 1997 source
May combine two claims.
PremisecitationOLS regression assumes M_b is independent of the variable of interest and measured without error, which may not be the case.
“Secondly, OLS regression assumes that M b is independent of the variable of interest and measured without error, which may not be the case.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Sokal and Rohlf, 1995
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationreasoningGiven that large herbivores are typically fasted for no more than 72 h, if at all, prior to determination of metabolic rate, it is likely that such measurements fail to satisfy the conditions required for determination of BMR.
“Given that large herbivores are typically fasted for no more than 72•h, if at all, prior to determination of metabolic rate, it seems likely that such measurements fail to satisfy the conditions required for determination of BMR.”
Quote in the paperSubstantial claim- Rests on an assumption: Large herbivores are typically fasted for no more than 72 h, if at all, prior to determination of metabolic rate.
May combine two claims.
InterpretationcitationFor species that are difficult to obtain or measure, BMR can be estimated only from M_b, because M_b alone accounts for 94% of the variation in BMR.
“For species that are difficult to obtain or measure, BMR can be estimated only from M b , because M b alone accounts for 94% of the variation in BMR (White and Seymour, 2003).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites White and Seymour, 2003 source
Not checked in the free run.
May combine two claims.
PremisecitationBody mass and temperature are primary determinants of metabolic rate.
“Body mass and temperature are primary determinants of metabolic rate (Gillooly et al., 2001).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Gillooly et al., 2001 source
May combine two claims.
Premisecitation§ Allometric scaling of mammalian metabolismMacropods and lagomorphs are excluded because they have microbial fermentation in the stomach or hindgut, while shrews (Soricidae) are excluded because resting and postabsorptive conditions may be mutually exclusive.
“Macropods and lagomorphs are excluded because they have microbial fermentation in the stomach or hindgut (Stevens and Hume, 1995), while shrews (Soricidae) are excluded because resting and postabsorptive conditions may be mutually exclusive (Speakman et al., 1993).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Stevens and Hume, 1995
- cites Speakman et al., 1993 source
May combine two claims.
InterpretationreasoningA MRT of 12 h is predicted for a 20 g herbivore, compared to nearly 3 days for a 500 kg one.
“A MRT of 12•h is therefore predicted for a 20•g herbivore, compared to nearly 3 days for a 500•kg one.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationThe final appearance of faeces following feeding can take 4 times longer than the MRT, suggesting that MRT may approximate only the minimum time required to achieve a postabsorptive condition.
“However, the final appearance of faeces following feeding can take 4 times longer than the MRT (Blaxter, 1989), suggesting that MRT may approximate only the minimum time required to achieve a postabsorptive condition.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Blaxter, 1989
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisereasoningBecause of shared phylogenetic descent, species data are likely not to represent statistically independent points, resulting in overestimation of degrees of freedom and increased Type I error rate.
“Firstly, because of shared phylogenetic descent, species data are likely not to represent statistically independent points.This results in overestimation of degrees of freedom and an increased Type I error rate.”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenThree-quarter power scaling of mammalian BMR is a central paradigm of comparative physiology that has been accepted for over 70 years and remains in widespread use.
“Three-quarter power scaling of mammalian BMR is a central paradigm of comparative physiology that has been accepted for over 70 years and remains in widespread use.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Premisenone givenMMR_c is measured under conditions that maximise heat loss.
“This might be expected given that MMR c is measured under conditions that maximise heat loss.”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationHemmingsen (1960) included unicellular organisms and poikilothermic vertebrates, expanding the range of body masses to 18 orders of magnitude, and also supported an exponent of 3/4.
“Hemmingsen (1960) included unicellular organisms and poikilothermic vertebrates, thereby expanding the range of body masses to 18 orders of magnitude, and also supported an exponent of 3/4 (a similar approach with a similar result was recently presented by Gillooly et al., 2001).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Hemmingsen, 1960
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Gillooly et al., 2001 source
The paper relies on this without support.
Large herbivores are typically fasted for no more than 72 h, if at all, prior to determination of metabolic rate.
“Given that large herbivores are typically fasted for no more than 72•h, if at all, prior to determination of metabolic rate, it seems likely that such measurements fail to satisfy the conditions required for determination of BMR.”
The paper relies on this without support.
There is no functional link in endotherms between metabolic rate and T_b within the thermal neutral zone, where BMR is measured.
“Although there is no functional link in endotherms between metabolic rate and T b within the thermal neutral zone, where BMR is measured, repeated attempts have been made to explain the BMR differences between birds and mammals, and eutherians and marsupials, in terms of differences in T b (Hemmingsen, 1960;Dawson and Hulbert, 1970;White and Seymour, in press).”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Kleiber's monograph is assigned two publication years
MinorThe paper dates Kleiber's monograph to 1938 in one passage but to 1932 elsewhere; its reference list also gives 1932 for the monograph.
“Since publication of Kleiber's monograph (Kleiber, 1938)”
“Kleiber's monograph (Kleiber, 1932)”
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Decrease in anogenital distance among male infants with prenatal phthalate exposure
Swan, S. H., Main, K. M., Liu, F., Stewart, S. L., Kruse, R. L., Calafat, A. M., Mao, C. S., Redmon, J. B., Ternand, C. L., Sullivan, S., et al. (2005) · Environmental Health Perspectives · doi:10.1289/ehp.8100 · Cited by 1,586 · see citing works
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Self-citationUse and misuse of the reduced major axis for line‐fitting
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“The most commonly recommended alternative to OLS is the reduced major axis (RMA) (e.g., Hofman et al., 1986; Leduc, 1987; LaBarbera, 1989; Aiello, 1992; Niklas, 1994, 2004; Griffiths, 1998; Blackburn and Gaston, 1998; White and Seymour, 2005).”
BackgroundThe paradigm of body condition: a critical reappraisal of current methods based on mass and length
Peig, J., & Green, A. J. (2010) · Functional Ecology · doi:10.1111/j.1365-2435.2010.01751.x · Cited by 706 · see citing works
“Ri and other methods based on least squares in the y-plane will tend to underestimate the regres- sion coefficient (Table 2), being more attenuated (closer to zero) as absolute values of the correlation coefficient decrease (Seim & Sæther 1983; White & Seymour 2005; Arnold & Green 2007).”
MethodMouse Models of Human Disease: An Evolutionary Perspective
Perlman, R. L. (2016) · Evolution, Medicine, and Public Health · doi:10.1093/emph/eow014 · Cited by 647 · see citing works
Mechanistic Basis of Using Body Size and Maturation to Predict Clearance in Humans
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“Body size corrections of this form (1) do not make any assumptions about the variance and correlation between anthropomorphic parameters and cardiovascular parameters, (2) allow for relationships between body size and cardiovascular variables that accommodate different relative geometries, and (3) have been shown empi…”
Biology of the sauropod dinosaurs: the evolution of gigantism
Sander, P. M., Christian, A., Clauß, M., Fechner, R., Gee, C. T., Griebeler, E. M., Gunga, H., Hummel, J., Mallison, H., Perry, S. F., et al. (2010) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/j.1469-185x.2010.00137.x · Cited by 429 · see citing works
“The higher exponent, however, may not be real but may result from the increasing importance of heat production from fermenting gut contents in large herbivores (White & Seymour, 2005; Clauss et al., 2008a).”
BackgroundInfluentialThe scaling and temperature dependence of vertebrate metabolism
White, C. R., Phillips, N. F., & Seymour, R. S. (2005) · Biology Letters · doi:10.1098/rsbl.2005.0378 · Cited by 410 · see citing works
“Data for lineages for which basal conditions are unlikely to be achieved (Artiodactyla, Lagomorpha, Macropodidae, Soricidae) were excluded for reasons discussed elsewhere (White & Seymour 2003, 2005).”
BackgroundMethodInfluentialSelf-citationA unifying explanation for diverse metabolic scaling in animals and plants
Glazier, D. S. (2009) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/j.1469-185x.2009.00095.x · Cited by 403 · see citing works
“However, other plausible explanations are possible (Bejan, 2001; Makarieva, Gorshkov & Li, 2003; Glazier, 2005; White & Seymour, 2005a; Painter et al., 2006; da Silva, Barbosa & Silva, 2007; Clauss et al., 2008; Packard & Birchard, 2008).”
BackgroundInfluentialManipulating extracellular tumour pH: an effective target for cancer therapy
Hao, G., Xu, Z. P., & Li, L. (2018) · RSC Advances · doi:10.1039/c8ra02095g · Cited by 342 · see citing works
Biology of the Sauropod Dinosaurs: Understanding the Life of Giants
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Measuring Energy Metabolism in the Mouse – Theoretical, Practical, and Analytical Considerations
Speakman, J. R. (2013) · Frontiers in Physiology · doi:10.3389/fphys.2013.00034 · Cited by 268 · see citing works
“The source of these values are the fitted scaling exponents for the relation between mass and energy expenditure across species (Kleiber, 1961; White and Seymour, 2004, 2005).”
BackgroundBaumann, M. H., Wang, X., & Rothman, R. B. (2006) · Psychopharmacology · doi:10.1007/s00213-006-0322-6 · Cited by 256 · see citing works
“The concept of interspecies scaling is based upon shared biochemical mechanisms among eukaryotic cells (e.g., aerobic respiration), and it was initially developed to describe variations in basal metabolic rate (BMR) between animal species of different sizes [reviewed by White and Seymour (2005) ].”
BackgroundLittle left in the tank: metabolic scaling in marine teleosts and its implications for aerobic scope
Killen, S. S., Costa, I., Brown, J. A., & Gamperl, A. K. (2006) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2006.3741 · Cited by 258 · see citing works
“Dodds et al. 2001; White & Seymour 2003, 2005; Savage et al. 2004), and whether or not this value is 'universal' across all taxa (Bokma 2004; Glazier 2005).”
BackgroundALLOMETRIC EXPONENTS DO NOT SUPPORT A UNIVERSAL METABOLIC ALLOMETRY
White, C. R., Cassey, P., & Blackburn, T. M. (2007) · Ecology · doi:10.1890/05-1883 · Cited by 251 · see citing works
“McKechnie and Wolf’s (2004) emphasis on the importance of data selection criteria was echoed by White and Seymour (2005), who reported that the BMR scaling exponent for mammals was positively correlated with the proportion of large herbivores within a data set.”
BackgroundInfluentialSelf-citationCagnacci, F., Focardi, S., Heurich, M., Stache, A., Hewison, A. J. M., Morellet, N., Kjellander, P., Linnell, J. D. C., Mysterud, A., Neteler, M., et al. (2011) · Oikos · doi:10.1111/j.1600-0706.2011.19441.x · Cited by 250 · see citing works
Determinants of inter-specific variation in basal metabolic rate
White, C. R., & Kearney, M. (2012) · Journal of Comparative Physiology B · doi:10.1007/s00360-012-0676-5 · Cited by 217 · see citing works
“Thus, an emerging challenge is to understand, for example, the differences in metabolic scaling between endotherms and ectotherms (Farrell-Gray and Gotelli 2005; White et al. 2007b), and between metabolic levels (White and Seymour 2005a; Glazier 2008, 2009a).”
BackgroundMethodInfluentialSelf-citationEvolutionary adaptations of ruminants and their potential relevance for modern production systems
Clauß, M., Hume, I. D., & Hummel, J. (2010) · animal · doi:10.1017/s1751731110000388 · Cited by 214 · see citing works
Tibbitts, J., Canter, D., Graff, R., Smith, A. M., & Khawli, L. A. (2015) · mAbs · doi:10.1080/19420862.2015.1115937 · Cited by 210 · see citing works
“catabolism should occur at a greater rate per unit of body mass in smaller species.(137) A special case again applies to ADCs”
BackgroundMüller, D. W. H., Codron, D., Meloro, C., Munn, A. J., Schwarm, A., Hummel, J., & Clauß, M. (2012) · Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology · doi:10.1016/j.cbpa.2012.09.018 · Cited by 200 · see citing works
“…exponent will therefore depend 503 either on the body mass range included in the analysis (Lovegrove, 2000; Dodds et al., 2001; 504 Glazier, 2005; White and Seymour, 2005), the taxonomic composition of the sample 505 (Hayssen and Lacy, 1985; Sieg et al., 2009; White et al., 2009; Capellini et…”
BackgroundScientific Opinion on principles for deriving and applying Dietary Reference Values
EFSA Panel on Dietetic Products, N. (2010) · EFSA Journal · doi:10.2903/j.efsa.2010.1458 · Cited by 197 · see citing works
Translating dosages from animal models to human clinical trials—revisiting body surface area scaling
Blanchard, O. L., & Smoliga, J. M. (2015) · The FASEB Journal · doi:10.1096/fj.14-269043 · Cited by 183 · see citing works
Metabolic Scaling in Animals: Methods, Empirical Results, and Theoretical Explanations
White, C. R., & Kearney, M. (2014) · Comprehensive physiology · doi:10.1002/cphy.c110049 · Cited by 181 · see citing works
Self-citationClauß, M., Schwarm, A., Ortmann, S., et al. (2007) · Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology · doi:10.1016/j.cbpa.2007.05.024 · Cited by 179 · see citing works
Effects of metabolic level on the body size scaling of metabolic rate in birds and mammals
Glazier, D. S. (2008) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2008.0118 · Cited by 177 · see citing works
Western, D., Groom, R., & Worden, J. (2009) · Biological Conservation · doi:10.1016/j.biocon.2009.05.025 · Cited by 175 · see citing works
“The most appropriate scaling exponent (Glazier, 2005; White and Seymour, 2005; Clauss et al., 2007; Beuchat et al., 1997) is a subject of debate but will not affect the outcome of our results.”
BackgroundWhite, C. R., Blackburn, T. M., & Seymour, R. S. (2009) · Evolution · doi:10.1111/j.1558-5646.2009.00747.x · Cited by 171 · see citing works
Self-citationThe relationship between body mass and field metabolic rate among individual birds and mammals
Hudson, L. N., Isaac, N. J. B., & Reuman, D. C. (2013) · Journal of Animal Ecology · doi:10.1111/1365-2656.12086 · Cited by 169 · see citing works
Translating Animal Model Research: Does It Matter That Our Rodents Are Cold?
Maloney, S. K., Fuller, A., Mitchell, D., Gordon, C. J., & Overton, J. M. (2014) · Physiology · doi:10.1152/physiol.00029.2014 · Cited by 166 · see citing works
Identification of Body Fat Mass as a Major Determinant of Metabolic Rate in Mice
Kaiyala, K. J., Morton, G. J., Leroux, B. G., Ogimoto, K., Wisse, B. E., & Schwartz, M. W. (2010) · Diabetes · doi:10.2337/db09-1582 · Cited by 163 · see citing works
“One approach that has been forwarded to obviate this mathematical bias is to use allometric scaling (15) wherein a TBM scaling exponent b and scaling coefficient a must be identified based on the data (15,16) such that EE divided by TBM assumes the constant expected value a.”
Phylogeny and metabolic scaling in mammals
Capellini, I., Venditti, C., & Barton, R. A. (2010) · Ecology · doi:10.1890/09-0817.1 · Cited by 156 · see citing works
Kaiyala, K. J., & Schwartz, M. W. (2010) · Diabetes · doi:10.2337/db10-0909 · Cited by 156 · see citing works
“Larger animals typically have higher absolute rates of EE owing to an increase in the total amount of metabolically active mass, whereas smaller animals typically have higher per-kg rates of EE (6), in part because their larger body surface area (BSA) relative to volume increases heat loss and thus requires greater he…”
BackgroundManipulating tumor acidification as a cancer treatment strategy.
McCarty, M. F., & Whitaker, J. (2010) · PubMed · Cited by 146 · see citing works
Coevolution of body size and metabolic rate in vertebrates: a life‐history perspective
Kozłowski, J., Konarzewski, M., & Czarnołęski, M. (2020) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/brv.12615 · Cited by 143 · see citing works
“…temperature (White et al., 2008; Clarke et al., 2010), season (Vézina et al., 2012), energy expenditure (Glazier, 2008; White et al., 2008), mass range (White & Seymour, 2005), climate (Lovegrove, 2000, 2003; Rezende, Bozinovic, & Garland, 2004) and can change with ontogeny (Glazier, 2005, 2006).”
Heart rate, lifespan, and mortality risk
Zhang, G. Q., & Zhang, W. (2009) · Ageing Research Reviews · doi:10.1016/j.arr.2008.10.001 · Cited by 139 · see citing works
Interspecies Prediction of Human Drug Clearance Based on Scaling Data from One or Two Animal Species
Tang, H., Hussain, A., Leal, M., Mayersohn, M., & Fluhler, E. (2007) · Drug Metabolism and Disposition · doi:10.1124/dmd.107.016188 · Cited by 137 · see citing works
“75 (3⁄4 power law) for the metabolic rate has been established with hundreds of species (White and Seymour, 2005); using a limited number of species, for example, three species, may result in an allometric relationship of metabolic rate that is very different from that obtained from hundreds of species.”
BackgroundInfluentialPalaeohistological Evidence for Ancestral High Metabolic Rate in Archosaurs
Legendre, L. J., Guénard, G., Botha, J., & Cubo, J. (2016) · Systematic Biology · doi:10.1093/sysbio/syw033 · Cited by 135 · see citing works
Seibel, B. A. (2006) · Journal of Experimental Biology · doi:10.1242/jeb.02588 · Cited by 132 · see citing works
“For comparison, recent analyses found that, after temperature adjustment, mass accounts for 94% of the variation in mammalian whole-animal basal metabolic rates (White and Seymour, 2005).”
BackgroundUngulates increase forest plant species richness to the benefit of non‐forest specialists
Boulanger, V., Dupouey, J., Archaux, F., Badeau, V., Baltzinger, C., Chevalier, R., Corcket, E., Dumas, Y., Forgeard, F., Mårell, A., et al. (2017) · Global Change Biology · doi:10.1111/gcb.13899 · Cited by 128 · see citing works
Stein, K. H. W., & Prondvai, E. (2013) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/brv.12041 · Cited by 129 · see citing works
“…of the vascular-lacunocanalicular organization of bones also increases with increasing body mass and BMR (Mishra, 2009), and BMR itself universally scales with respect to body mass (Bishop, 1999; Speakman, 2005; West & Brown, 2005; White & Seymour, 2005 but see Kolokotrones et al., 2010).”
BackgroundPrediction of drug clearance in children from adults: a comparison of several allometric methods
Mahmood, I. (2006) · British Journal of Clinical Pharmacology · doi:10.1111/j.1365-2125.2006.02622.x · Cited by 131 · see citing works
Activity affects intraspecific body-size scaling of metabolic rate in ectothermic animals
Glazier, D. S. (2009) · Journal of Comparative Physiology B · doi:10.1007/s00360-009-0363-3 · Cited by 129 · see citing works
“…with different metabolic levels (Glazier 2005, 2009a, b, c; Reich et al. 2006; White et al. 2006, 2007), and among different physiological states within taxonomic groups (Weibel et al. 2004; Glazier 2005, 2008, 2009a; Niven and Scharlemann 2005; White and Seymour 2005; White et al. 2007).”
Altitudinal migration: ecological drivers, knowledge gaps, and conservation implications
Hsiung, A. C., Boyle, W., Cooper, R. J., & Chandler, R. B. (2018) · Biological Reviews of The Cambridge Philosophical Society · doi:10.1111/brv.12435 · Cited by 112 · see citing works
Kt/V underestimates the hemodialysis dose in women and small men
Spalding, E. M., Chandna, S. M., Davenport, A., & Farrington, K. (2008) · Kidney International · doi:10.1038/ki.2008.185 · Cited by 122 · see citing works
The drive to eat in homo sapiens: Energy expenditure drives energy intake
Blundell, J. E., Gibbons, C., Beaulieu, K., Casanova, N., Duarte, C., Finlayson, G., Stubbs, R. J., & Hopkins, M. (2020) · Physiology & Behavior · doi:10.1016/j.physbeh.2020.112846 · Cited by 115 · see citing works
“In passing, it is worth drawing attention here to the alignment of the current proposals and 122 the general concept of allometric scaling [16].”
BackgroundHulbert, A. (2014) · Systems · doi:10.3390/systems2020186 · Cited by 113 · see citing works
“The MMR of reptiles (at a body temperature of 30 °C) is reported to have a scaling exponent of 0.82 [45] while the MMR for swimming salmon (at 15 °C environmental temperature) has an exponent of 0.97 [46].”
BackgroundInfluentialMammalian Metabolic Allometry: Do Intraspecific Variation, Phylogeny, and Regression Models Matter?
Sieg, A. E., O’Connor, M. P., McNair, J. N., Grant, B. W., Agosta, S. J., & Dunham, A. E. (2009) · The American Naturalist · doi:10.1086/606023 · Cited by 113 · see citing works
On the best design for undulatory swimming
Eloy, C. (2013) · Journal of Fluid Mechanics · doi:10.1017/jfm.2012.561 · Cited by 107 · see citing works
“…is proportional to Vol3/4, and not Vol2/3, but the question of the validity of this scaling law is still controversial (e.g. Dodds, Rothman & Weitz 2001; White & Seymour 2005), and, in any case, this slightly different exponent would not qualitatively change the results of the present analysis.”
Phylogenetic, functional, and structural components of variation in bone growth rate of amniotes
Cubo, J., Legendre, P., de Ricqlès, A. J., Montes, L., de Margerie, E., Castanet, J., & Desdevises, Y. (2008) · Evolution & Development · doi:10.1111/j.1525-142x.2008.00229.x · Cited by 109 · see citing works
“This last correction assumes that the effect of body mass on metabolic rate is mediated by the fact that both the surface to volume ratio and the caloric loss per mass unit decrease as body mass increases (Withers 1992; White and Seymour 2005).”
BackgroundSpeakman, J. R., & Król, E. (2010) · Integrative and Comparative Biology · doi:10.1093/icb/icq049 · Cited by 105 · see citing works
The association between body mass, metabolic rates and survival of bank voles
Boratyński, Z., & Koteja, P. (2009) · Functional Ecology · doi:10.1111/j.1365-2435.2008.01505.x · Cited by 102 · see citing works
“2005; White & Seymour 2005).”
H2S induced hypometabolism in mice is missing in sedated sheep
Haouzi, P. A., Notet, V., Chenuel, B. J., Chalon, B., Sponne, I., Ogier, V., & Bihain, B. E. (2007) · Respiratory Physiology & Neurobiology · doi:10.1016/j.resp.2007.09.001 · Cited by 101 · see citing works
Heterothermy in large mammals: inevitable or implemented?
Hetem, R. S., Maloney, S. K., Fuller, A., & Mitchell, D. (2016) · Biological Reviews · doi:10.1111/brv.12166 · Cited by 100 · see citing works
“Although the allometric scaling of mammalian metabolic rates has been researched thoroughly (for review see White & Seymour, 2005), comparatively little is known about how body size might influence the mean 24 h body core temperature.”
BackgroundPariaut, R., Saelinger, C., Strickland, K. N., et al. (2012) · Journal of Veterinary Internal Medicine · doi:10.1111/j.1939-1676.2012.00981.x · Cited by 99 · see citing works
Reconsidering the mechanistic basis of the metabolic theory of ecology
O’Connor, M. P., Kemp, S. J., Agosta, S. J., Hansen, F., Sieg, A. E., Wallace, B. P., McNair, J. N., & Dunham, A. E. (2007) · Oikos · doi:10.1111/j.0030-1299.2007.15534.x · Cited by 98 · see citing works
“…particularly of acclimation of metabolic rates to varying temperatures in ectotherms is extensive and taxonomically diverse (Beyer and Spotila 1994, Guderley and St. Pierre 1996, UN CO RR EC TE D PR OO F Gracey et al. 2004, Lesser and Kruse 2004, Zakhartsev et al. 2004, Whiteley and Faulkner 2005).”
BackgroundBlood flow to long bones indicates activity metabolism in mammals, reptiles and dinosaurs
Seymour, R., Smith, S. L., White, C., Henderson, D., & Schwarz-Wings, D. (2012) · Proceedings of the Royal Society of London. Biological Sciences · doi:10.1098/rspb.2011.0968 · Cited by 82 · see citing works
Self-citationDo mechanical gait parameters explain the higher metabolic cost of walking in obese adolescents?
Peyrot, N., Thivel, D., Isacco, L., Morin, J.-B., Duché, P., & Belli, A. (2009) · Journal of Applied Physiology · doi:10.1152/japplphysiol.91240.2008 · Cited by 94 · see citing works
“75 for the normalization of CW by BM has been shown to be suitable for human walking (7, 19, 32, 40, 42).”
MethodResultMethods for Trophic Ecology Assessment in Fishes: A Critical Review of Stomach Analyses
da Silveira, E. L., Semmar, N., Cartes, J. E., Tuset, V. M., Lombarte, A., Ballester, E. L. C., & dos Santos, A. M. V. (2019) · Reviews in Fisheries Science & Aquaculture · doi:10.1080/23308249.2019.1678013 · Cited by 94 · see citing works
Entropy Generation and Human Aging: Lifespan Entropy and Effect of Physical Activity Level
Silva, C. A. S., & Annamalai, K. (2008) · Entropy · doi:10.3390/entropy-e10020100 · Cited by 92 · see citing works
Allometric scaling laws of metabolism
da Silva, J. K. L., Garcia, G. J. M., & Barbosa, L. A. (2006) · Physics of Life Reviews · doi:10.1016/j.plrev.2006.08.001 · Cited by 79 · see citing works
“73(4) mammals [17] 0.”
BackgroundInfluentialMONTES, L., LE ROY, N., PERRET, M., DE BUFFRENIL, V., CASTANET, J., & CUBO, J. (2007) · Biological Journal of the Linnean Society · doi:10.1111/j.1095-8312.2007.00881.x · Cited by 91 · see citing works
“Accordingly, we can predict that raw RMR, like the surface to volume ratio, may scale to body mass raised to the power of 0.67 (Andrews & Pough, 1985; Bennett & Harvey, 1987; Withers, 1992:; White & Seymour, 2005).”
BackgroundInfluentialBalancing growth, reproduction, maintenance, and activity in evolved energy economies
Pontzer, H., & McGrosky, A. (2022) · Current Biology · doi:10.1016/j.cub.2022.05.018 · Cited by 88 · see citing works
Optimal Form of Branching Supply and Collection Networks
Dodds, P. S. (2010) · Physical Review Letters · doi:10.1103/physrevlett.104.048702 · Cited by 87 · see citing works
Prediction of Drug Clearance in Children: Impact of Allometric Exponents, Body Weight, and Age
Mahmood, I. (2007) · Therapeutic Drug Monitoring · doi:10.1097/ftd.0b013e318042d3c4 · Cited by 86 · see citing works
Usta, O. B., McCarty, W. J., Bale, S. S., Hegde, M., Jindal, R., Bhushan, A., Golberg, I., & Yarmush, M. L. (2015) · TECHNOLOGY · doi:10.1142/s2339547815300012 · Cited by 85 · see citing works
Phylogenetic analysis of mammalian maximal oxygen consumption during exercise
Dlugosz, E. M., Chappell, M. A., Meek, T. H., Szafrańska, P. A., Zub, K., Konarzewski, M., Jones, J. H., Bicudo, J. E. P. W., Nespolo, R. F., Careau, V., et al. (2013) · Journal of Experimental Biology · doi:10.1242/jeb.088914 · Cited by 84 · see citing works
On the thermodynamic origin of metabolic scaling
Ballesteros, F., Martı́nez, V. J., Luque, B., Lacasa, L., Valor, E., & Moyá, A. (2018) · Scientific Reports · doi:10.1038/s41598-018-19853-6 · Cited by 84 · see citing works
Descriptive epidemiology of physical activity energy expenditure in UK adults (The Fenland study)
Lindsay, T., Westgate, K., Wijndaele, K., Hollidge, S., Kerrison, N., Forouhi, N., Griffin, S., Wareham, N., & Brage, S. (2019) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-019-0882-6 · Cited by 83 · see citing works
Mann, D. H., Groves, P., Gaglioti, B. V., & Shapiro, B. (2018) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/brv.12456 · Cited by 82 · see citing works
“Larger animals are metabolically more efficient than smaller ones in terms of energy use per unit body mass (White & Seymour, 2005).”
BackgroundModel Selection and Logarithmic Transformation in Allometric Analysis
Packard, G. C., & Boardman, T. J. (2008) · Physiological and Biochemical Zoology · doi:10.1086/589110 · Cited by 82 · see citing works
“…the patterns identified by this research are inaccurate and misleading, and these mischaracterizations likely contribute to the ongoing debate about ways in which animals are constructed (Agutter and Wheatley 2004; Glazier 2005; West and Brown 2005; White and Seymour 2005a; da Silva et al. 2006).”
BackgroundMethodThermoregulation in endotherms: physiological principles and ecological consequences
Rezende, E. L., & Bacigalupe, L. D. (2015) · Journal of Comparative Physiology B · doi:10.1007/s00360-015-0909-5 · Cited by 83 · see citing works
“The limits to heat production and dissipation change predictably with body size, and many studies have quantified how BMR (Symonds and Elgar 2002; White and Seymour 2005; McNab 1988, 2009; Sieg et al. 2009; Clarke et al. 2010), FMR (Koteja 1991; Nagy et al.”
BackgroundMethodAnalytic theories of allometric scaling
Agutter, P. S., & Tuszyński, J. A. (2011) · Journal of Experimental Biology · doi:10.1242/jeb.054502 · Cited by 80 · see citing works
A big-data approach to understanding metabolic rate and response to obesity in laboratory mice
Corrigan, J. K., Ramachandran, D., He, Y., Palmer, C. J., Jurczak, M. J., Chen, R., Li, B., Friedline, R. H., Kim, J. K., Ramsey, J. J., et al. (2020) · eLife · doi:10.7554/elife.53560 · Cited by 80 · see citing works
“This mass effect reflects the biological consequence of Newton’s 2 law of motion, whereby movement of greater mass requires more energy, and by extension larger animals require more energy for both resting metabolism and to perform work under standard conditions (Kleiber, 1932; White and Seymour, 2005).”
BackgroundAllometric estimation of metabolic rates in animals
White, C. R. (2010) · Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology · doi:10.1016/j.cbpa.2010.10.004 · Cited by 79 · see citing works
“, 2007a; Swanson and Garland, 2009), or maximum rate of oxygen consumption (VO2max) for mammals on a treadmill (Weibel et al., 2004; White and Seymour, 2005) or during cold exposure (Rezende et al.”
BackgroundResultInfluentialSelf-citationA Manipulative Test of Competing Theories for Metabolic Scaling
White, C. R., Kearney, M., Matthews, P. G. D., Kooijman, S. A. L. M., & Marshall, D. J. (2011) · The American Naturalist · doi:10.1086/662666 · Cited by 78 · see citing works
Self-citationComparative analyses of basal rate of metabolism in mammals: data selection does matter
Genoud, M., Isler, K., & Martin, R. D. (2017) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/brv.12350 · Cited by 76 · see citing works
“…in the literature about the appropriateness of particular measurements as BMR estimates (McNab, 1987, 1992a, 1997, 2006; Speakman et al., 1993; White & Seymour, 2003, 2004, 2005), the extent to which different BMR data-selection procedures affect the results of comparative analyses has never…”
BackgroundResultA comparative analysis of the diving behaviour of birds and mammals
Halsey, L. G., Blackburn, T. M., & Butler, P. J. (2006) · Functional Ecology · doi:10.1111/j.1365-2435.2006.01170.x · Cited by 78 · see citing works
Archer, E., Lavie, C. J., & Hill, J. O. (2018) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2018.06.002 · Cited by 76 · see citing works
Downs, C. J., Hayes, J. P., & Tracy, C. R. (2007) · Functional Ecology · doi:10.1111/j.1365-2435.2007.01371.x · Cited by 71 · see citing works
Steuer, P., Südekum, K., Müller, D. W. H., Franz, R., Kaandorp, J., Clauß, M., & Hummel, J. (2011) · Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology · doi:10.1016/j.cbpa.2011.07.005 · Cited by 69 · see citing works
Müller, D. W. H., Caton, J. M., Codron, D., Schwarm, A., Lentle, R. G., Streich, W. J., Hummel, J., & Clauß, M. (2011) · Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology · doi:10.1016/j.cbpa.2011.06.004 · Cited by 65 · see citing works
“Such evaluations have been reported repeatedly for particle retention (Owen-Smith, 1988; Illius and Gordon, 1992; Cork et al., 1999; White and Seymour, 2005; Clauss et al., 2007a).”
BackgroundArboreal Folivores Limit Their Energetic Output, All the Way to Slothfulness
Pauli, J. N., Peery, M. Z., Fountain, E. D., & Karasov, W. H. (2016) · The American Naturalist · doi:10.1086/687032 · Cited by 64 · see citing works
Developmental effects of 3,4-methylenedioxymethamphetamine: a review
Skelton, M. R., Williams, M. T., & Vorhees, C. V. (2008) · Behavioural Pharmacology · doi:10.1097/fbp.0b013e3282f62c76 · Cited by 64 · see citing works
“Newer models of interspecies scaling suggest that the exponent in the equation should be either 3/4 (West et al., 2002) or 2/3 (White and Seymour, 2005), and therefore the amount administered to a neonatal rat would be equivalent to a human dose of between 29 mg and 85 mg, respectively.”
BackgroundRediscovering and Reviving Old Observations and Explanations of Metabolic Scaling in Living Systems
Glazier, D. S. (2018) · Systems · doi:10.3390/systems6010004 · Cited by 63 · see citing works
Yamada, Y., Colman, R. J., Kemnitz, J. W., Baum, S. T., Anderson, R. M., Weindruch, R. H., & Schoeller, D. A. (2013) · Experimental Gerontology · doi:10.1016/j.exger.2013.08.002 · Cited by 61 · see citing works
“67, and SMR to obtain the array of normalized gross metabolic rate that have been published by others (Blanc et al. 2003; Kleiber 1947; White and Seymour 2005).”
Basal Metabolic Rate of Canidae from Hot Deserts to Cold Arctic Climates
Careau, V., Morand-Ferron, J., & Thomas, D. (2007) · Journal of Mammalogy · doi:10.1644/06-mamm-a-111r1.1 · Cited by 57 · see citing works
“The exponents for canids (0.84 and 0.95 for our CLSR and PI analyses, respectively) are intriguingly high and fall at the extreme upper bound of the frequency distribution for a sample size of 15 species (White and Seymour 2005a:figure 1C).”
BackgroundResultInfluentialScaling of the first ethmoturbinal in nocturnal strepsirrhines: Olfactory and respiratory surfaces
Smith, T. D., Bhatnagar, K. P., Rossie, J. B., Docherty, B. A., Burrows, A. M., Cooper, G. M., Mooney, M. P., & Siegel, M. I. (2007) · The Anatomical Record · doi:10.1002/ar.20428 · Cited by 61 · see citing works
Effects of Contractors’ Risk Attitude on Competition in Construction
Kim, H.-J., & Reinschmidt, K. F. (2010) · Journal of Construction Engineering and Management · doi:10.1061/(asce)co.1943-7862.0000284 · Cited by 61 · see citing works
“Many studies in biology and ecology have reported β values around 3=4, but there are differences of opinion and different values have been found (White and Seymour 2005).”
BackgroundAvian senescence: underlying mechanisms
Vleck, C. M., Haussmann, M. F., & Vleck, D. B. V. (2007) · Journal für Ornithologie · doi:10.1007/s10336-007-0186-5 · Cited by 60 · see citing works
“1 Basal metabolic rate and life span in birds (dashed line) and mammals (solid line) calculated from equations relating metabolic rates (McKechnie and Wolf 2004; White and Seymour 2005) and life spans (Speakman 2005b) to body mass.”
Comparison of the metabolic and ventilatory response to hypoxia and H2S in unsedated mice and rats
Haouzi, P. A., Bell, H. J., Notet, V., & Bihain, B. E. (2009) · Respiratory Physiology & Neurobiology · doi:10.1016/j.resp.2009.06.006 · Cited by 59 · see citing works
Circulation and metabolic rates in a natural hibernator: an integrative physiological model
Hampton, M. E., Nelson, B. T., & Andrews, M. T. (2010) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00273.2010 · Cited by 59 · see citing works
Cardiovascular Physiology of Dinosaurs.
Seymour, R. (2016) · Physiology · doi:10.1152/physiol.00016.2016 · Cited by 24 · see citing works
“4 times higher than allometric analysis of BMR in mammals in general (53, 123).”
BackgroundSelf-citationPalombo, M. R. (2007) · Quaternary International · doi:10.1016/j.quaint.2006.11.002 · Cited by 55 · see citing works
Divide and conquer? Size adjustment with allometry and intermediate outcomes
Nakagawa, S., Kar, F., O’Dea, R. E., Pick, J. L., & Lagisz, M. (2017) · BMC Biology · doi:10.1186/s12915-017-0448-5 · Cited by 53 · see citing works
“However, physiological traits (such as cellular and drug metabolism [9, 10]) and behavioural traits (for instance, food consumption [2, 11]) also scale allometrically with organismal size.”
BackgroundToledo, L. F., Brito, S. P., Milsom, W. K., Abe, A. S., & Andrade, D. V. (2008) · Physiological and Biochemical Zoology · doi:10.1086/524147 · Cited by 52 · see citing works
“However, White and Seymour (2005) have recently shown that if the mass exponent for mammals obtained under different thermal conditions is normalized to a single euthermic temperature, the differences in the scaling exponent (and hence the difference between ectotherms and endotherms) vanish.”
BackgroundMethodEvaluation of deltamethrin kinetics and dosimetry in the maturing rat using a PBPK model
Tornero‐Velez, R., Mirfazaelian, A., Kim, K., et al. (2010) · Toxicology and Applied Pharmacology · doi:10.1016/j.taap.2009.12.034 · Cited by 53 · see citing works
“75 is not necessarily the best scaling exponent for clearance (Mahmood, 2005; White and Seymour, 2005).”
BackgroundInfluentialLack of correlation between canine heart rate and body size in veterinary clinical practice
Ferasin, L., Ferasin, H., & Little, C. J. L. (2010) · Journal of Small Animal Practice · doi:10.1111/j.1748-5827.2010.00954.x · Cited by 53 · see citing works
Physiologic time: A hypothesis
West, D. J., & West, B. J. (2013) · Physics of Life Reviews · doi:10.1016/j.plrev.2013.04.006 · Cited by 52 · see citing works
- Authors
- White, C. R., & Seymour, R. S.
- Affiliations
- The University of Adelaide (AU)
- Corresponding author
- White, Craig R.
- Venue
- Journal of Experimental Biology
- Publisher
- The Company of Biologists
- Published
- 2005-05-01
- Volume
- 208
- Issue
- 9
- Pages
- 1611-1619
- ISSN
- 0022-0949 (ISSN-L)
- 1477-9145
- OpenAlex
- W2096114109
- Cited by
- 433
- References
- 124
- Citations by year
- 2026: 15 · 2025: 17 · 2024: 17 · 2023: 28 · 2022: 9 · 2021: 14 · 2020: 19 · 2019: 9 · 2018: 11 · 2017: 19 · 2016: 25 · 2015: 21 · 2014: 20 · 2013: 20 · 2012: 22
- FWCI
- 2.43
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Experimental Biology (publishedVersion)
- PubMed (publishedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- HighWire Press Open Archive (submittedVersion)
- Topics
- Physical Sciences › Environmental Science › Ecology › Physiological and biochemical adaptations
- Physical Sciences › Earth and Planetary Sciences › Paleontology › Evolution and Paleontology Studies
- Health Sciences › Medicine › Physiology › Adipose Tissue and Metabolism
- Keywords
- allometric scaling, basal metabolic rate, resting metabolic rate, 3/4 power law, 2/3 power law, scaling exponents, mammalian metabolism, body mass, large herbivores, coefficient of variation, field metabolic rate, interspecific variation, oxygen consumption
- MeSH terms
- Animals, Basal Metabolism, Body Temperature, Energy Metabolism, Mammals, Models, Biological, Regression Analysis, Body Size
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