Journal of Experimental Zoology Part A Ecological and Integrative Physiology · 2022 · 25 citations · 83 references
Life SciencesEcologyZoologyClimate Change AdaptationHerpetologyPhysiological EcologyClimate AdaptationHeat AdaptationHeat StressHeat Stress PhysiologyHeat Stress ToleranceThermal PhysiologyAcclimation MechanismsCritical Thermal LimitsCritical Thermal MaximumExtreme Heat EventsHeat Stress ResponsesReptile ThermoregulationThermal PlasticityThermal Stress Tolerance
Abstract Current climate change is generating accelerated increase in extreme heat events and organismal plastic adjustments in upper thermal tolerances, (critical thermal maximum ‐CT max ) are recognized as the quicker mitigating mechanisms. However, current research casts doubt on the actual mitigating role of thermal acclimation to face heat impacts, due to its low magnitude and weak environmental signal. Here, we examined these drawbacks by first estimating maximum extent of thermal acclimation by examining known sources of variation affecting CT max expression, such as daily thermal fluctuation and heating rates. Second, we examined whether the magnitude and pattern of CT max plasticity is dependent of the thermal environment by comparing the acclimation responses of six species of tropical amphibian tadpoles inhabiting thermally contrasting open and shade habitats and, finally, estimating their warming tolerances (WT = CT max – maximum temperatures) as estimator of heating risk. We found that plastic CT max responses are improved in tadpoles exposed to fluctuating daily regimens. Slow heating rates implying longer duration assays determined a contrasting pattern in CT max plastic expression, depending on species environment. Shade habitat species suffer a decline in CT max whereas open habitat tadpoles greatly increase it, suggesting an adaptive differential ability of hot exposed species to quick hardening adjustments. Open habitat tadpoles although overall acclimate more than shade habitat species, cannot capitalize this beneficial increase in CT max, because the maximum ambient temperatures are very close to their critical limits, and this increase may not be large enough to reduce acute heat stress under the ongoing global warming.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Phylogenies and the Comparative Method
Joseph Felsenstein · The American Naturalist · 1985 · 10.1K citations