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Optimal hibernation theory
Author(s) -
Boyles Justin G.,
Johnson Joseph S.,
Blomberg Anna,
Lilley Thomas M.
Publication year - 2020
Publication title -
mammal review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.574
H-Index - 76
eISSN - 1365-2907
pISSN - 0305-1838
DOI - 10.1111/mam.12181
Subject(s) - hibernation (computing) , torpor , biology , ecology , computer science , state (computer science) , thermoregulation , algorithm
Hibernation has received considerable attention from physiologists and natural historians, but theoretical and ecological treatments of hibernation are rarer. There is ample recent evidence that costs associated with hibernation affect the degree to which hibernation is expressed in nature, but we currently lack a quantitative framework under which to make predictions about how the costs and benefits of hibernation interact under various environmental conditions. Here, we attempt the first steps towards building an optimal hibernation theory for making specific predictions about the expression of hibernation (i.e. the depth and duration of torpor bouts), metabolic functioning, and the total period of hibernation in mammals and birds. Our current understanding of the costs associated with hibernation do not allow for parameterisation of optimal hibernation theory, but we hope this work provides a roadmap for physiologists and ecologists to collect the necessary data in the future.