Temperature Modifies Consumer-Resource Interaction Strength Through Its Effects on Biological Rates and Body Mass

Bideault, Azenor; Loreau, Michel; Gravel, Dominique

doi:10.3389/fevo.2019.00045

Cited by 28 publications

(39 citation statements)

References 54 publications

(108 reference statements)

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“…Our empirical results corroborate predictions from our model and other previous mathematical investigations (Amarasekare 2015, Uszko et al 2017, Bideault et al 2019), but we still have little information about the physiological mechanisms driving non-monotonic responses. It is likely that different species have their specifics biochemistry that would alter the peak and shape of the thermal response.…”

Section: Discussionsupporting

confidence: 88%

“…Studying species interaction strength with temperature-dependent traits models has been done previously (Amarasekare 2015, Uszko et al 2017, Bideault et al 2019. Studying species interaction strength with temperature-dependent traits models has been done previously (Amarasekare 2015, Uszko et al 2017, Bideault et al 2019.…”

Section: Model Developmentmentioning

confidence: 99%

“…In addition, the position and shape of such curves vary across species (Dell et al 2011, Schulte et al 2011, and changes in temperature might have different effects for consumers than it does for their resources , Ohlberger 2013, Dell et al 2014. As a consequence, species can differ in the magnitude, rate, and/or peak of changes in thermal response with important effects on species interactions (P€ ortner and Farrell 2008, Kordas et al 2011, Dell et al 2014, Bideault et al 2019. Although this link between the unimodal response of physiological traits and species interaction has been suggested theoretically, we still lack empirical evidence under realistic environmental conditions.…”

Section: Introductionmentioning

confidence: 99%

“…We first developed a consumerresource model in which the maximum rate of resource growth, handling time, and attack rate by the consumer were temperature-dependent (Amarasekare 2015, Uszko et al 2017, Bideault et al 2019. We first developed a consumerresource model in which the maximum rate of resource growth, handling time, and attack rate by the consumer were temperature-dependent (Amarasekare 2015, Uszko et al 2017, Bideault et al 2019.…”

Section: Introductionmentioning

confidence: 99%

“…Recent theoretical work suggests that the unimodal response to temperature of physiological traits could scale up to affect higher order processes, such as species interaction, leading to a similar unimodal change in interaction strength (Amarasekare 2015, Uszko et al 2017, Bideault et al 2019). This could happen because thermal performance curves, which are determined by metabolic rate, are often a dome-shaped function of ambient temperature , Sibly et al 2012).…”

Section: Introductionmentioning

confidence: 99%

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Temperature triggers a non‐linear response in resource–consumer interaction strength

et al. 2019

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Although temperature is recognized as a major determinant of many ecological processes, it is still not clear whether temperature increase caused by climate change will strengthen or weaken species interactions. One hypothesis is that interactions will respond non-monotonically to temperature because thermal performance curves, which determine the strength of these interactions, are also non-monotonic. To evaluate this hypothesis, we developed a temperature-dependent consumer-resource model and tested predictions from this model in large freshwater mesocosms populated with green algae (Chlorella vulgaris) and herbivorous zooplankton (Daphnia magna). We found both in the model simulations and empirical investigations that the suppressive effect of the consumer depended non-monotonically on the temperature. As predicted by the model, Daphnia suppressed the algal maximum per capita growth rate at the temperature that maximized algal growth rate but had little effect on resource growth at either lower or higher temperatures. This finding could help explain why effects of temperature variation on species interaction are variable in the literature and suggests that predicting the effects of temperature on the strength of food web interactions requires knowledge of the thermal performance curves for multiple traits, for multiple species and over a range of temperatures.

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Section: Discussionsupporting

confidence: 88%

Section: Model Developmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Temperature triggers a non‐linear response in resource–consumer interaction strength

et al. 2019

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Distinct impacts of feeding frequency and warming on life history traits affect population fitness in vertebrate ectotherms

Bazin,

Hemmer‐Brepson,

Logez

et al. 2023

Ecology and Evolution

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Body size shifts in ectotherms are mostly attributed to the Temperature Size Rule (TSR) stating that warming speeds up initial growth rate but leads to smaller size when food does not limit growth. Investigating the links between temperature, growth, and life history traits is key to understand the adaptive value of TSR, which might be context dependent. In particular, global warming can affect food quantity or quality which is another major driver of growth, fecundity, and survival. However, we have limited information on how temperature and food jointly influence life history traits in vertebrate predators and how changes in different life history traits combine to influence fitness and population demography. We investigate (1) whether TSR is maintained under different food conditions, (2) if food exacerbates or dampens the effects of temperature on growth and life history traits and (3) if food influences the adaptive value of TSR. We combine experiments on the medaka with Integral Projection Models to scale from life history traits to fitness consequences. Our results confirm that warming triggers a higher initial growth rate and a lower adult size, reduces generation time and increases mean fitness. A lower level of food exacerbates the effects of warming on growth trajectories. Although lower feeding frequency increased survival and decreased fecundity, it did not influence the effects of warming on fish development rates, fecundity, and survival. In contrast, feeding frequency influenced the adaptive value of TSR, as, under intermittent feeding, generation time decreased faster with warming and the increase in growth rate with warming was weaker compared to continuously fed fish. These results are of importance in the context of global warming as resources are expected to change with increasing temperatures but, surprisingly, our results suggest that feeding frequency have a lower impact on fitness at high temperature.

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Warming and top‐down control of stage‐structured prey: Linking theory to patterns in natural systems

Davidson,

Stunkle,

Armstrong

et al. 2023

Ecology

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Warming has broad and often nonlinear impacts on organismal physiology and traits, allowing it to impact species interactions like predation through a variety of pathways that may be difficult to predict. Predictions are commonly based on short‐term experiments and models, and these studies often yield conflicting results depending on the environmental context, spatiotemporal scale, and the predator and prey species considered. Thus, the accuracy of predicted changes in interaction strength, and their importance to the broader ecosystems they take place in, remain unclear. Here, we attempted to link one such set of predictions generated using theory, modeling, and controlled experiments to patterns in the natural abundance of prey across a broad thermal gradient. To do so, we first predicted how warming would impact a stage‐structured predator–prey interaction in riverine rock pools between Pantala spp. dragonfly nymph predators and Aedes atropalpus mosquito larval prey. We then described temperature variation across a set of hundreds of riverine rock pools (n = 775) and leveraged this natural gradient to look for evidence for or against our model's predictions. Our model's predictions suggested that warming should weaken predator control of mosquito larval prey by accelerating their development and shrinking the window of time during which aquatic dragonfly nymphs could consume them. This was consistent with data collected in rock pool ecosystems, where the negative effects of dragonfly nymph predators on mosquito larval abundance were weaker in warmer pools. Our findings provide additional evidence to substantiate our model‐derived predictions while emphasizing the importance of assessing similar predictions using natural gradients of temperature whenever possible.

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Temperature Modifies Consumer-Resource Interaction Strength Through Its Effects on Biological Rates and Body Mass

Cited by 28 publications

References 54 publications

Temperature triggers a non‐linear response in resource–consumer interaction strength

Temperature triggers a non‐linear response in resource–consumer interaction strength

Distinct impacts of feeding frequency and warming on life history traits affect population fitness in vertebrate ectotherms

Warming and top‐down control of stage‐structured prey: Linking theory to patterns in natural systems

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