Literature DB >> 18271721

Why "suboptimal" is optimal: Jensen's inequality and ectotherm thermal preferences.

Tara Laine Martin1, Raymond B Huey.   

Abstract

Body temperature (T(b)) profoundly affects the fitness of ectotherms. Many ectotherms use behavior to control T(b) within narrow levels. These temperatures are assumed to be optimal and therefore to match body temperatures (Trmax) that maximize fitness (r). We develop an optimality model and find that optimal body temperature (T(o)) should not be centered at Trmax but shifted to a lower temperature. This finding seems paradoxical but results from two considerations relating to Jensen's inequality, which deals with how variance and skew influence integrals of nonlinear functions. First, ectotherms are not perfect thermoregulators and so experience a range of T(b). Second, temperature-fitness curves are asymmetric, such that a T(b) higher than Trmax depresses fitness more than will a T(b) displaced an equivalent amount below Trmax. Our model makes several predictions. The magnitude of the optimal shift (Trmax - To) should increase with the degree of asymmetry of temperature-fitness curves and with T(b) variance. Deviations should be relatively large for thermal specialists but insensitive to whether fitness increases with Trmax ("hotter is better"). Asymmetric (left-skewed) T(b) distributions reduce the magnitude of the optimal shift but do not eliminate it. Comparative data (insects, lizards) support key predictions. Thus, "suboptimal" is optimal.

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Year:  2008        PMID: 18271721     DOI: 10.1086/527502

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  90 in total

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Journal:  Proc Biol Sci       Date:  2009-03-04       Impact factor: 5.349

5.  Predicting organismal vulnerability to climate warming: roles of behaviour, physiology and adaptation.

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6.  Can terrestrial ectotherms escape the heat of climate change by moving?

Authors:  Lauren B Buckley; Joshua J Tewksbury; Curtis A Deutsch
Journal:  Proc Biol Sci       Date:  2013-07-03       Impact factor: 5.349

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Journal:  Theory Biosci       Date:  2010-02-16       Impact factor: 1.919

8.  Systematic variation in the temperature dependence of physiological and ecological traits.

Authors:  Anthony I Dell; Samraat Pawar; Van M Savage
Journal:  Proc Natl Acad Sci U S A       Date:  2011-05-23       Impact factor: 11.205

9.  Wind constraints on the thermoregulation of high mountain lizards.

Authors:  Zaida Ortega; Abraham Mencía; Valentín Pérez-Mellado
Journal:  Int J Biometeorol       Date:  2016-08-16       Impact factor: 3.787

10.  Effect of temperature on the locomotor performance of species in a lizard assemblage in the Puna region of Argentina.

Authors:  Rodrigo Gómez Alés; Juan Carlos Acosta; Vanesa Astudillo; Mariela Córdoba; Graciela Mirta Blanco; Donald Miles
Journal:  J Comp Physiol B       Date:  2018-10-04       Impact factor: 2.200

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