Temperature dependence of the functional response

Englund, Göran; Öhlund, Gunnar; Hein, Catherine L.; Diehl, Sebastian

doi:10.1111/j.1461-0248.2011.01661.x

Cited by 363 publications

(551 citation statements)

References 50 publications

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“…For consumer species it is realistic to assume that environmental fluctuations affect consumptive parameters, such as the maximum intake rates I i (Englund et al, 2011) (Fig. 1A).…”

Section: Environmental Stochasticitymentioning

confidence: 99%

“…1A). Stochastic parameters are assumed to have an optimum-type response to noise (Englund et al, 2011;Laakso et al, 2001), here modelled as a Gaussian function of environmental variations…”

Section: Environmental Stochasticitymentioning

confidence: 99%

“…Here we do not simply introduce environmental variation as additive noise to population per capita growth rates (as, e.g., in Greenman and Benton, 2005b;Ripa and Ives, 2003), but instead let specific parameters to depend on environmental fluctuations in a realistic manner (Englund et al, 2011;e.g., Thébault and Loreau, 2005;Vasseur and McCann, 2005). These approaches generate different predictions regarding increasing environmental amplitude-while the traditional method predicts increasing population variances, population fluctuations can actually be dampened in our model.…”

Section: The Point Of Environmental Impact and Why This Mattersmentioning

confidence: 99%

“…Environmental stochasticity affects all aspects of ecosystem functioning, from nutrient cycling (Silvola et al, 1996) to primary production (Ruel and Ayres, 1999), and consumer performance (Englund et al, 2011). Changes in reproduction success, food availability, or foraging ability can be important factors affecting animal behaviour, in terms of migration (Lindén et al, 2011), habitat selection (Abrams, 2000;Abrams et al, 2012Abrams et al, , 2007Amarasekare, 2007), and foraging (Abrams and Matsuda, 2004;Abrams, 1999;Post et al, 2000).…”

Section: Introductionmentioning

confidence: 99%

“…The system is affected by environmental fluctuations, such that the vital rates of either resources or the consumer vary along these fluctuations in a realistic manner. Both biological parameters are assumed to have a unimodal response to varying environmental conditions, reflecting patterns in natural systems (e.g., Englund et al, 2011). We ask how characteristics of environmental stochasticity (variance and colour), and the point of environmental impact (either resources or the consumer) affect food web dynamics under adaptive consumer foraging.…”

Section: Introductionmentioning

confidence: 99%

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Environmental weakening of trophic interactions drives stability in stochastic food webs

Ruokolainen

McCann

2013

Journal of Theoretical Biology

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A 3-species food web model is analysed, with stochastic variation in parameters. Noise affects either resource growth or consumer intake as a Gaussian function. Noise variance, colour, and the consumers foraging adaptation rate is varied. Environmental characteristics impact on the consumer-resource interaction strength. Noise impact on population variability depends on where it hits in the food web. a r t i c l e i n f o t r a c tThe physiological performance and behaviour of organisms are contingent on environmental conditions. When these conditions vary over time, this can have important consequences for the dynamics of individual populations and entire species communities. While the importance of environmental variation on the structuring and stability of natural food webs is recognised, little work has been done so far to build up a theoretical understanding of these processes. Here we investigate a simple model food web, where a consumer species forages flexibly upon two distinct, inter-competing resource species. Resource productivities or the resource intake rates by the consumer are assumed to depend on environmental conditions in a realistic manner. Fluctuations in these parameters drive variation in the strength of consumer-resource interactions, depending on whether the resource or the consumer is sensitive to environmental noise. The way resources and the consumer respond to changes in environmental conditions stems from the deterministic influence of each stochastic parameter on food web dynamics, which interact with the consumer adaptation process as well as between-resource competition. According to recent empirical reports, the mechanisms behind our results are likely to be relevant in natural systems and thus the model predictions are of potential importance in understanding food web responses to environmental stochasticity in general.

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“…For consumer species it is realistic to assume that environmental fluctuations affect consumptive parameters, such as the maximum intake rates I i (Englund et al, 2011) (Fig. 1A).…”

Section: Environmental Stochasticitymentioning

confidence: 99%

“…1A). Stochastic parameters are assumed to have an optimum-type response to noise (Englund et al, 2011;Laakso et al, 2001), here modelled as a Gaussian function of environmental variations…”

Section: Environmental Stochasticitymentioning

confidence: 99%

Section: The Point Of Environmental Impact and Why This Mattersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Environmental weakening of trophic interactions drives stability in stochastic food webs

Ruokolainen

McCann

2013

Journal of Theoretical Biology

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Thermal mismatches explain consumer–resource dynamics in response to environmental warming

Álvarez‐Codesal,

Faillace,

Garreau

et al. 2023

Ecology and Evolution

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Changing temperatures will impact food webs in ways we yet to fully understand. The thermal sensitivities of various physiological and ecological processes differ across organisms and study systems, hindering the generation of accurate predictions. One step towards improving this picture is to acquire a mechanistic understanding of how temperature change impacts trophic interactions before we can scale these insights up to food webs and ecosystems. Here, we implement a mechanistic approach centered on the thermal sensitivity of energetic balances in pairwise consumer-resource interactions, measuring the thermal dependence of energetic gain and loss for two resource and one consumer freshwater species. Quantifying the balance between

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Temperature and predators as interactive drivers of community properties

DeLong,

Coblentz,

Uiterwaal

et al. 2023

Ecology and Evolution

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The effects of warming on ecological communities emerge from a range of potentially asymmetric impacts on individual physiology and development. Understanding these responses, however, is limited by our ability to connect mechanisms or emergent patterns across the many processes that drive variation in demography. Further complicating this understanding is the gain or loss of predators to many communities, which may interact with changes in temperature to drive community change. Here we conducted a factorial warming and predation experiment to test generalized predictions about responses to warming. We used microcosms with a range of protists, rotifers, and a gastrotrich, with and without the predator Actinosphaerium, to assess changes in diversity, body size, function, and composition in response to warming. We find that community respiration and predator:prey biovolume ratios peak at intermediate temperatures, while species richness declined with temperature. We also found that overall biomass increased with species richness, driven by the effect of temperature on richness. There was little evidence of an interaction between predation and temperature change, likely because the predator was mostly limited to the intermediate temperatures. Overall, our results suggest that general predictions about community change are still challenging to make but may benefit by considering multiple dimensions of community patterns in an integrated way.

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Temperature dependence of the functional response

Cited by 363 publications

References 50 publications

Environmental weakening of trophic interactions drives stability in stochastic food webs

Environmental weakening of trophic interactions drives stability in stochastic food webs

Thermal mismatches explain consumer–resource dynamics in response to environmental warming

Temperature and predators as interactive drivers of community properties

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