Literature DB >> 21460567

Extending the cost-benefit model of thermoregulation: high-temperature environments.

Mathew Vickers1, Carryn Manicom, Lin Schwarzkopf.   

Abstract

The classic cost-benefit model of ectothermic thermoregulation compares energetic costs and benefits, providing a critical framework for understanding this process (Huey and Slatkin 1976 ). It considers the case where environmental temperature (T(e)) is less than the selected temperature of the organism (T(sel)), and it predicts that, to minimize increasing energetic costs of thermoregulation as habitat thermal quality declines, thermoregulatory effort should decrease until the lizard thermoconforms. We extended this model to include the case where T(e) exceeds T(sel), and we redefine costs and benefits in terms of fitness to include effects of body temperature (T(b)) on performance and survival. Our extended model predicts that lizards will increase thermoregulatory effort as habitat thermal quality declines, gaining the fitness benefits of optimal T(b) and maximizing the net benefit of activity. Further, to offset the disproportionately high fitness costs of high T(e) compared with low T(e), we predicted that lizards would thermoregulate more effectively at high values of T(e) than at low ones. We tested our predictions on three sympatric skink species (Carlia rostralis, Carlia rubrigularis, and Carlia storri) in hot savanna woodlands and found that thermoregulatory effort increased as thermal quality declined and that lizards thermoregulated most effectively at high values of T(e).

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Year:  2011        PMID: 21460567     DOI: 10.1086/658150

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


  16 in total

1.  Turn up the heat: thermal tolerances of lizards at La Selva, Costa Rica.

Authors:  George A Brusch; Emily N Taylor; Steven M Whitfield
Journal:  Oecologia       Date:  2016-02       Impact factor: 3.225

2.  Heritability of climate-relevant traits in a rainforest skink.

Authors:  Felipe Martins; Loeske Kruuk; John Llewelyn; Craig Moritz; Ben Phillips
Journal:  Heredity (Edinb)       Date:  2018-05-22       Impact factor: 3.821

3.  Hydroregulation in a tropical dry-skinned ectotherm.

Authors:  Anna F V Pintor; Lin Schwarzkopf; Andrew K Krockenberger
Journal:  Oecologia       Date:  2016-07-06       Impact factor: 3.225

4.  Configuration of the thermal landscape determines thermoregulatory performance of ectotherms.

Authors:  Michael W Sears; Michael J Angilletta; Matthew S Schuler; Jason Borchert; Katherine F Dilliplane; Monica Stegman; Travis W Rusch; William A Mitchell
Journal:  Proc Natl Acad Sci U S A       Date:  2016-09-06       Impact factor: 11.205

5.  Natural selection on thermal preference, critical thermal maxima and locomotor performance.

Authors:  Anthony L Gilbert; Donald B Miles
Journal:  Proc Biol Sci       Date:  2017-08-16       Impact factor: 5.349

6.  Thermoregulation in the lizard Psammodromus algirus along a 2200-m elevational gradient in Sierra Nevada (Spain).

Authors:  Francisco Javier Zamora-Camacho; Senda Reguera; Gregorio Moreno-Rueda
Journal:  Int J Biometeorol       Date:  2015-09-15       Impact factor: 3.787

Review 7.  Lizard thermal trait variation at multiple scales: a review.

Authors:  Susana Clusella-Trullas; Steven L Chown
Journal:  J Comp Physiol B       Date:  2013-08-30       Impact factor: 2.200

8.  Can newts cope with the heat? Disparate thermoregulatory strategies of two sympatric species in water.

Authors:  Monika Balogová; Lumír Gvoždík
Journal:  PLoS One       Date:  2015-05-20       Impact factor: 3.240

9.  A heterogeneous thermal environment enables remarkable behavioral thermoregulation in Uta stansburiana.

Authors:  Maria Goller; Franz Goller; Susannah S French
Journal:  Ecol Evol       Date:  2014-08-05       Impact factor: 2.912

10.  Predator-prey interactions shape thermal patch use in a newt larvae-dragonfly nymph model.

Authors:  Lumír Gvoždík; Eva Černická; Raoul Van Damme
Journal:  PLoS One       Date:  2013-06-03       Impact factor: 3.240

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