Critical thermal maxima in aquatic ectotherms

Cereja, Rui

doi:10.1016/j.ecolind.2020.106856

Cited by 32 publications

(18 citation statements)

References 105 publications

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“…To examine whether our model can improve comparison of published tolerance estimates, we collected heat tolerance measures from both static and dynamic assays for nine ectothermic species including a crustacean ( Daphnia magna Straus 1820), insects ( D. melanogaster Meigen 1830, Drosophila subobscura Collin 1936, Glossina pallidipes Austen 1903, Tenebrio molitor L. 1758), collembolans ( Folsomia candida Willem 1902, Orchesella cincta L. 1758) and fishes ( Gambusia affinis Baird & Girard 1853, Salmo salar L. 1758). Literature search was aided by an overview of dynamic assays with at least three ramping rates 33 , the GlobTherm database 34 and a review of CT max in aquatic ectotherms 35 . For static assays the time of failure and assay temperature were recorded while the ramping rate, CT max and the initial temperature (t 0 ) were noted for dynamic assays.…”

Section: Methodsmentioning

confidence: 99%

A unifying model to estimate thermal tolerance limits in ectotherms across static, dynamic and fluctuating exposures to thermal stress

Jørgensen

Malte

Ørsted

et al. 2021

Sci Rep

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Temperature tolerance is critical for defining the fundamental niche of ectotherms and researchers classically use either static (exposure to a constant temperature) or dynamic (ramping temperature) assays to assess tolerance. The use of different methods complicates comparison between studies and here we present a mathematical model (and R-scripts) to reconcile thermal tolerance measures obtained from static and dynamic assays. Our model uses input data from several static or dynamic experiments and is based on the well-supported assumption that thermal injury accumulation rate increases exponentially with temperature (known as a thermal death time curve). The model also assumes thermal stress at different temperatures to be additive and using experiments with Drosophila melanogaster, we validate these central assumptions by demonstrating that heat injury attained at different heat stress intensities and durations is additive. In a separate experiment we demonstrate that our model can accurately describe injury accumulation during fluctuating temperature stress and further we validate the model by successfully converting literature data of ectotherm heat tolerance (both static and dynamic assays) to a single, comparable metric (the temperature tolerated for 1 h). The model presented here has many promising applications for the analysis of ectotherm thermal tolerance and we also discuss potential pitfalls that should be considered and avoided using this model.

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Section: Methodsmentioning

confidence: 99%

A unifying model to estimate thermal tolerance limits in ectotherms across static, dynamic and fluctuating exposures to thermal stress

Jørgensen

Malte

Ørsted

et al. 2021

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Injury accumulated during each 10-second interval was summed until the critical amount of injury had accumulated resulting in predicted tcoma. 30 , the GlobTherm database 31 and a review of CTmax in aquatic ectotherms 32 . For static assays the time of failure and assay temperature were recorded while the ramping rate, CTmax and the initial temperature (t0) were noted for dynamic assays.…”

Section: Test Of Injury Additivity Between Two Static Temperaturesmentioning

confidence: 99%

A Unifying Model to Estimate Thermal Tolerance Limits in Ectotherms Across Static, Dynamic and Fluctuating Exposures to Thermal Stress

Jørgensen

Malte

Ørsted

et al. 2021

Preprint

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Temperature tolerance is critical for defining the fundamental niche of ectotherms and researchers classically use either static (exposure to a constant temperature) or dynamic (ramping temperature) assays to assess tolerance. The use of different methods complicates comparison between studies and here we present mathematical model (and R-scripts) to reconcile thermal tolerance measures obtained from static and dynamic assays. Our model uses input data from several static or dynamic experiments and is based on the well-supported assumption that thermal injury accumulation rate increases exponentially with temperature (recently re-introduced as Thermal Tolerance Landscapes). The model also assumes thermal stress at different temperatures to be additive and using experiments with Drosophila melanogaster, we validate these central assumptions by demonstrating that heat injury attained at different heat stress intensities and durations is additive. In a separate experiment we demonstrate that our model can accurately describe injury accumulation during fluctuating temperature stress and further we validate the model by successfully converting literature data of ectotherm heat tolerance (both static and dynamic assays) to a single, comparable metric (the temperature tolerated for 1 hour). The model presented here has many promising applications for the analysis of ectotherm thermal tolerance and we also discuss potential pitfalls that should be considered and avoided using this model.

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“…Interactions between dissolved oxygen and water temperature have been shown to influence growth and survival of fish in aquaculture ponds (Boyd and Tucker 2012; Cereja 2020). Studies demonstrated detrimental interactions between elevated temperature and low oxygen in Striped Bass (Brandt et al 2009) and their hybrids (Marcek et al 2020), but others found that the variables acted independently (Kraus et al 2015; Ern et al 2016).…”

Section: Discussionmentioning

confidence: 99%

Thermal Tolerance and Temperature‐Dependent Feeding Behavior of F1 Gulf and Atlantic Coast Striped Bass Strains

Kenter

Berlinsky

2022

N American J Aquac

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To evaluate the pond culture potential of purebred Striped Bass Morone saxatilis, the thermal stress tolerance and associated feeding behavior of Atlantic coast (Delaware River; DE) and Gulf of Mexico (Florida; FL) strains (~1.0-1.6 kg) were evaluated. In the first experiment, critical thermal maxima (CTmax) temperatures were determined by gradually increasing the water temperature of individual fish that were housed in 311-L insulated containers (0.3°C/ min) and determining when the fish experienced loss of equilibrium (n = 6/strain). The results indicated that the fish from the FL strain had a higher CTmax value (36.7 ± 0.32°C) than did those from the DE strain (35.7 ± 0.57°C). In the second experiment, feeding behavior and feed consumption were evaluated during simulated summer temperature fluctuations by increasing the water temperature from 26°C to 34°C by 2°C every 2 d (n = 30 fish/strain). Feed consumption decreased inversely with temperature in both strains until a mortality event occurred at 34°C. The results suggest that there are physiological adaptations to elevated temperatures among Striped Bass strains and they may be suitable for pond culture if feeding is restricted at high temperatures (>30°C).

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Critical thermal maxima in aquatic ectotherms

Cited by 32 publications

References 105 publications

A unifying model to estimate thermal tolerance limits in ectotherms across static, dynamic and fluctuating exposures to thermal stress

A unifying model to estimate thermal tolerance limits in ectotherms across static, dynamic and fluctuating exposures to thermal stress

A Unifying Model to Estimate Thermal Tolerance Limits in Ectotherms Across Static, Dynamic and Fluctuating Exposures to Thermal Stress

Thermal Tolerance and Temperature‐Dependent Feeding Behavior of F1 Gulf and Atlantic Coast Striped Bass Strains

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