Literature DB >> 16691511

Environmental correlates of physiological variables in marsupials.

P C Withers1, C E Cooper, A N Larcombe.   

Abstract

We analyzed body temperature (T(b)), basal metabolic rate (BMR), wet thermal conductance (C(wet)), and evaporative water loss (EWL) of marsupials by conventional and phylogenetically corrected regression. Allometric effects were substantial for BMR, C(wet), and EWL but not T(b). There was a strong phylogenetic signal for mass and all physiological traits. A significant phylogenetic signal remained for BMR, C(wet), and EWL even after accounting for the highly significant phylogenetic signal of mass. T(b), BMR, C(wet), and EWL allometric residuals were correlated with some diet, distribution, and climatic variables before and after correction for phylogeny. T(b) residuals were higher for marsupials from arid environments (high T(a) and more variable rainfall). The fossorial marsupial mole had a lower-than-expected T(b) residual. The allometric slope for BMR was 0.72-0.75. Residuals were consistently related to distribution aridity and rainfall variability, with species from arid and variable rainfall habitats having a low BMR, presumably to conserve energy in a low-productivity environment. The nectarivorous honey possum had a higher-than-expected BMR. For C(wet), the allometric slope was 0.55-0.62; residuals were related to diet, with folivores having low and insectivores high C(wet) residuals. The allometric slope for EWL was 0.68-0.73. EWL residuals were consistently correlated with rainfall variability, presumably facilitating maintenance of water balance during dry periods.

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Year:  2006        PMID: 16691511     DOI: 10.1086/501063

Source DB:  PubMed          Journal:  Physiol Biochem Zool        ISSN: 1522-2152            Impact factor:   2.247


  24 in total

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2.  Numbats and aardwolves--how low is low? A re-affirmation of the need for statistical rigour in evaluating regression predictions.

Authors:  C E Cooper; P C Withers
Journal:  J Comp Physiol B       Date:  2006-04-26       Impact factor: 2.200

3.  The evolution of mammalian body temperature: the Cenozoic supraendothermic pulses.

Authors:  Barry G Lovegrove
Journal:  J Comp Physiol B       Date:  2012-01-11       Impact factor: 2.200

4.  Metabolic cold adaptation in fishes occurs at the level of whole animal, mitochondria and enzyme.

Authors:  Craig R White; Lesley A Alton; Peter B Frappell
Journal:  Proc Biol Sci       Date:  2011-12-07       Impact factor: 5.349

5.  Basal metabolic rate of birds is associated with habitat temperature and precipitation, not primary productivity.

Authors:  Craig R White; Tim M Blackburn; Graham R Martin; Patrick J Butler
Journal:  Proc Biol Sci       Date:  2007-01-22       Impact factor: 5.349

Review 6.  The "minimal boundary curve for endothermy" as a predictor of heterothermy in mammals and birds: a review.

Authors:  Christine E Cooper; Fritz Geiser
Journal:  J Comp Physiol B       Date:  2007-08-03       Impact factor: 2.200

7.  Age at first reproduction and growth rate are independent of basal metabolic rate in mammals.

Authors:  Barry G Lovegrove
Journal:  J Comp Physiol B       Date:  2008-12-12       Impact factor: 2.200

8.  Effects of experiment start time and duration on measurement of standard physiological variables.

Authors:  Amanda J Page; Christine E Cooper; Philip C Withers
Journal:  J Comp Physiol B       Date:  2011-01-23       Impact factor: 2.200

Review 9.  Thermoregulation in endotherms: physiological principles and ecological consequences.

Authors:  Enrico L Rezende; Leonardo D Bacigalupe
Journal:  J Comp Physiol B       Date:  2015-05-30       Impact factor: 2.200

Review 10.  Determinants of inter-specific variation in basal metabolic rate.

Authors:  Craig R White; Michael R Kearney
Journal:  J Comp Physiol B       Date:  2012-09-23       Impact factor: 2.200

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