Assigning metabolic rate measurements to torpor and euthermy in heterothermic endotherms: 'torpor', a new package for R.
Details
Serval ID
serval:BIB_D07EFCAEE1EB
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Assigning metabolic rate measurements to torpor and euthermy in heterothermic endotherms: 'torpor', a new package for R.
Journal
Biology open
ISSN
2046-6390 (Electronic)
ISSN-L
2046-6390
Publication state
Published
Issued date
15/04/2022
Peer-reviewed
Oui
Volume
11
Number
4
Pages
bio059064
Language
english
Notes
Publication types: Journal Article ; Research Support, U.S. Gov't, Non-P.H.S. ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Publication Status: ppublish
Abstract
Torpor is a state of controlled reduction of metabolic rate (M) in endotherms. Assigning measurements of M to torpor or euthermy can be challenging, especially when the difference between euthermic M and torpid M is small, in species defending a high minimal body temperature in torpor, in thermolabile species, and slightly below the thermoneutral zone (TNZ). Here, we propose a novel method for distinguishing torpor from euthermy. We use the variation in M measured during euthermic rest and torpor at varying ambient temperatures (Ta) to objectively estimate the lower critical temperature (Tlc) of the TNZ and to assign measurements to torpor, euthermic rest or rest within TNZ. In addition, this method allows the prediction of M during euthermic rest and torpor at varying Ta, including resting M within the TNZ. The present method has shown highly satisfactory results using 28 published sets of metabolic data obtained by respirometry on 26 species of mammals. Ultimately, this novel method aims to facilitate analysis of respirometry data in heterothermic endotherms. Finally, the development of the associated R-package (torpor) will enable widespread use of the method amongst biologists.
Keywords
Animals, Body Temperature Regulation, Energy Metabolism, Mammals, Rest, Torpor, Bayesian, Energetics, Energy saving, Metabolism, Mixture models
Pubmed
Web of science
Open Access
Yes
Create date
12/02/2022 14:46
Last modification date
23/01/2024 7:34