Constant and fluctuating temperature acclimations have similar effects on phenotypic plasticity in springtails

Hoskins, Jessica L.; Janion‐Scheepers, Charlene; Ireland, Elise; Monro, Keyne; Chown, Steven L.

doi:10.1016/j.jtherbio.2020.102690

Cited by 8 publications

(6 citation statements)

References 85 publications

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“…The high goodness-of-fit of the Bieri-1 and Analytis models at all temperatures except 34 °C indicates that these models adequately reflect the underlying biological processes of S. gilvifrons . Fluctuating temperatures may, but do not necessarily, result in different effects than constant temperatures in laboratory experiments, e.g., [ 57 , 58 ]; but see [ 59 ]. Due to Jensen’s inequality and typically non-linear thermal responses [ 35 ], such deviations occur primarily at temperatures close to and around the lower and upper thresholds but less so at the intermediate range [ 33 , 35 ].…”

Section: Resultsmentioning

confidence: 99%

Thermal Oviposition Performance of the Ladybird Stethorus gilvifrons Preying on Two-Spotted Spider Mites

Jafari

Aghdam

Zamani

et al. 2023

Insects

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The ladybird, Stethorus gilvifrons (Mulsant) (Coleoptera: Coccinellidae), is an important predator of two-spotted spider mites, Tetranychus urticae Koch (Acari: Tetranychidae), in southeastern Europe and western and southwestern Asia, such as Iran, India, and Turkey. To enhance forecasting the occurrence and performance of this predator in natural control and improve its usage in biological control, we evaluated and compared four non-linear oviposition models, i.e., Enkegaard, Analytis, Bieri-1, and Bieri-2. The models were validated by using data of age-specific fecundity of female S. gilvifrons at six constant temperatures (15, 20, 25, 27, 30, and 34 °C). All four models provided good fit quality to age-dependent oviposition at 15 to 30 °C (R2 0.67 to 0.94; R2adj 0.63 to 0.94) but had a poor fit at 34 °C (R2 0.33 to 0.40; R2adj 0.17 to 0.34). Within temperatures, the best performing models were Bieri-1 (R2), Bieri-2 (R2adj), and Analytis (RSS) at 15 °C, Bieri-1 at 27 °C, and Analytis at 20, 25, and 30 °C. Analytis was the best suited model across the wide temperature range tested (from 15 to 30 °C). The models presented here allow for prediction of the population dynamics of S. gilvifrons in field and greenhouse crops in temperate and subtropical climates.

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Section: Resultsmentioning

confidence: 99%

Thermal Oviposition Performance of the Ladybird Stethorus gilvifrons Preying on Two-Spotted Spider Mites

Jafari

Aghdam

Zamani

et al. 2023

Insects

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“…Thus, if cold acclimation has a negative or no effect, as in our study when tested in controlled laboratory conditions at 25 °C, it might be that cold acclimation can be beneficial in a fluctuating environment. Although field temperatures fluctuate, results by Hoskins and colleagues 37 suggest that at equal means, fluctuating and constant acclimation temperatures have similar effects on the phenotype (i.e., thermal tolerance). Therefore, our results may help to predict future dispersal based on the recent field temperatures.…”

Section: Discussionmentioning

confidence: 99%

Tethered‐flight performance of thermally‐acclimated pest fruit flies (Diptera: Tephritidae) suggests that heat waves may promote the spread of Bactrocera species

Malod,

Bali,

Gledel

et al. 2023

Pest Management Science

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BackgroundThermal history may induce phenotypic plasticity in traits that affect performance and fitness. One type of plastic response triggered by thermal history is acclimation. Because flight is linked to movement in the landscape, trapping and detection rates, and underpins the success of pest management tactics, it is particularly important to understand how thermal history may affect pest insect flight performance. We investigated the tethered‐flight performance of Ceratitis capitata, Bactrocera dorsalis and Bactrocera zonata (Diptera: Tephritidae), acclimated for 48 h at 20, 25 or 30 °C and tested at 25 °C. We recorded the total distance, average speed, number of flight events and time spent flying during 2‐h tests. We also characterized morphometric traits (body mass, wing shape and wing loading) that can affect flight performance.ResultsThe main factor affecting most flight traits was body mass. The heaviest species, B. dorsalis, flew further, was faster and stopped less often in comparison with the two other species. Bactrocera species exhibited faster and longer flight when compared with C. capitata, which may be associated with the shape of their wings. Moreover, thermal acclimation had sex‐ and species‐specific effects on flight performance. Flies acclimated at 20 °C stopped more often, spent less time flying and, ultimately, covered shorter distances.ConclusionFlight performance of B. dorsalis is greater than that of B. zonata and C. capitata. The effects of thermal acclimation are species‐specific. Warmer acclimation temperatures may allow pest fruit flies to disperse further and faster. © 2023 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

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“…As an invertebrate exemplar, data from the Collembola species Desoria trispinata (MacGillivray, 1896) (reared at and acclimated to 20°C; CT max : mean ± SD = 37.80 ± 0.26°C, n = 51; CT min : mean ± SD = −3.06 ± 0.41°C, n = 52) were used. These Collembola were collected from a single population in the Jock Marshall Reserve, Monash University Clayton Campus, Australia (37.91°S, 145.14°E; Hoskins et al., 2020). As a vertebrate exemplar, data from the lizard Urosaurus ornatus (Baird & Girard, 1852) (CT max : mean ± SD = 42.31 ± 1.23°C, n = 206; CT min : mean ± SD = 13.25 ± 1.64°C, n = 206) were used.…”

Section: Methodsmentioning

confidence: 99%

“…For skew‐normal distributions, the same mean value was used, standard deviation ranged from 0.5°C to 1.5°C at 0.25°C intervals and the skew parameter was set at either 0, +1, +2, +10 or +50, which represented the range of skew observed in CT max values described by Janion‐Scheepers et al. (2018) and the critical thermal limit datasets used for the aforementioned exemplar species analyses (Gilbert & Miles, 2017; Hoskins et al., 2020). For each set of parameters, 50 datasets were randomly drawn for a total of 550 and 1,250 simulated datasets drawn from normal and skew‐normal distributions respectively.…”

Section: Methodsmentioning

confidence: 99%

Adequate sample sizes for improved accuracy of thermal trait estimates

et al. 2021

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Thermal traits, such as upper and lower critical thermal limits, are vital indicators of the vulnerability of populations and species to environmental change. Thus, accurate estimates of these traits are needed to explain biological patterns and forecast responses to the changing thermal environment. However, many thermal trait studies measure relatively few individuals to estimate traits for whole populations or species. To ascertain if, and how, sample size affects the accuracy of reported trait means and variances, we applied a subsampling and equivalency testing approach to empirical and simulated trait data to investigate the accuracy of trait estimates relative to sample size and the skew and variance of the trait distribution in the source population. Simulation results indicated that only 7.9% of the 428 critical thermal limit traits documented in a recent synthesis of thermal trait data reported sufficiently large sample sizes, relative to variance, to ensure confidence in the reported mean trait value with negligible (±0.25°C) error. Greater inter‐individual trait variance in the source population requires a larger number of individuals to be measured to accurately estimate the mean and variance of that trait. This pattern is mitigated somewhat by the tendency of thermal traits to exhibit skew‐normal distributions. As measurements of few individuals from a population are unlikely to provide accurate estimates of thermal traits, the propensity towards small sample sizes in thermal trait studies is concerning. Macrophysiological syntheses often use these data to describe, explain and predict broad‐scale ecological patterns. Thus, insufficient sample sizes in the original studies could diminish the robustness of these patterns and predictions. For future studies, we recommend that preliminary data be used to estimate trait variance and calculate minimum sample sizes. If small sample sizes are unavoidable, larger error around the measured trait mean must be assumed and accounted for in subsequent analyses. A free Plain Language Summary can be found within the Supporting Information of this article.

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Constant and fluctuating temperature acclimations have similar effects on phenotypic plasticity in springtails

Cited by 8 publications

References 85 publications

Thermal Oviposition Performance of the Ladybird Stethorus gilvifrons Preying on Two-Spotted Spider Mites

Thermal Oviposition Performance of the Ladybird Stethorus gilvifrons Preying on Two-Spotted Spider Mites

Tethered‐flight performance of thermally‐acclimated pest fruit flies (Diptera: Tephritidae) suggests that heat waves may promote the spread of Bactrocera species

Adequate sample sizes for improved accuracy of thermal trait estimates

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