Literature DB >> 22030847

The mean and variance of environmental temperature interact to determine physiological tolerance and fitness.

Francisco Bozinovic1, Daniel A Bastías, Francisca Boher, Sabrina Clavijo-Baquet, Sergio A Estay, Michael J Angilletta.   

Abstract

Global climate change poses one of the greatest threats to biodiversity. Most analyses of the potential biological impacts have focused on changes in mean temperature, but changes in thermal variance will also impact organisms and populations. We assessed the combined effects of the mean and variance of temperature on thermal tolerances, organismal survival, and population growth in Drosophila melanogaster. Because the performance of ectotherms relates nonlinearly to temperature, we predicted that responses to thermal variation (±0° or ±5°C) would depend on the mean temperature (17° or 24°C). Consistent with our prediction, thermal variation enhanced the rate of population growth (r(max)) at a low mean temperature but depressed this rate at a high mean temperature. The interactive effect on fitness occurred despite the fact that flies improved their heat and cold tolerances through acclimation to thermal conditions. Flies exposed to a high mean and a high variance of temperature recovered from heat coma faster and survived heat exposure better than did flies that developed at other conditions. Relatively high survival following heat exposure was associated with low survival following cold exposure. Recovery from chill coma was affected primarily by the mean temperature; flies acclimated to a low mean temperature recovered much faster than did flies acclimated to a high mean temperature. To develop more realistic predictions about the biological impacts of climate change, one must consider the interactions between the mean environmental temperature and the variance of environmental temperature.

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Year:  2011        PMID: 22030847     DOI: 10.1086/662551

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


  45 in total

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Authors:  Adam J Munn; Marguerite Treloar
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Review 2.  Inadequacy of typical physiological experimental protocols for investigating consequences of stochastic weather events emerging from global warming.

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Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2019-01-30       Impact factor: 3.619

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4.  Reestablishment of ion homeostasis during chill-coma recovery in the cricket Gryllus pennsylvanicus.

Authors:  Heath A MacMillan; Caroline M Williams; James F Staples; Brent J Sinclair
Journal:  Proc Natl Acad Sci U S A       Date:  2012-11-26       Impact factor: 11.205

5.  Flies developed small bodies and small cells in warm and in thermally fluctuating environments.

Authors:  Marcin Czarnoleski; Brandon S Cooper; Justyna Kierat; Michael J Angilletta
Journal:  J Exp Biol       Date:  2013-04-25       Impact factor: 3.312

6.  Increased temperature variation poses a greater risk to species than climate warming.

Authors:  David A Vasseur; John P DeLong; Benjamin Gilbert; Hamish S Greig; Christopher D G Harley; Kevin S McCann; Van Savage; Tyler D Tunney; Mary I O'Connor
Journal:  Proc Biol Sci       Date:  2014-01-29       Impact factor: 5.349

7.  Thermal tolerance and survival responses to scenarios of experimental climatic change: changing thermal variability reduces the heat and cold tolerance in a fly.

Authors:  Francisco Bozinovic; Nadia R Medina; José M Alruiz; Grisel Cavieres; Pablo Sabat
Journal:  J Comp Physiol B       Date:  2016-03-22       Impact factor: 2.200

8.  Functional diversity of catch mitigates negative effects of temperature variability on fisheries yields.

Authors:  Laura E Dee; Steve J Miller; Lindsey E Peavey; Darcy Bradley; Rebecca R Gentry; Richard Startz; Steven D Gaines; Sarah E Lester
Journal:  Proc Biol Sci       Date:  2016-08-17       Impact factor: 5.349

9.  Increasing frequency of low summer precipitation synchronizes dynamics and compromises metapopulation stability in the Glanville fritillary butterfly.

Authors:  Ayco J M Tack; Tommi Mononen; Ilkka Hanski
Journal:  Proc Biol Sci       Date:  2015-05-07       Impact factor: 5.349

10.  Life history traits to predict biogeographic species distributions in bivalves.

Authors:  V Montalto; A Rinaldi; G Sarà
Journal:  Naturwissenschaften       Date:  2015-09-15
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