Using functional response modeling to investigate the effect of temperature on predator feeding rate and energetic efficiency

Sentis, Arnaud; Hemptinne, Jean‐Louis; Brodeur, Jacques

doi:10.1007/s00442-012-2255-6

Cited by 136 publications

(201 citation statements)

References 56 publications

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“…While these weaker interaction strengths may imply a higher stability of populations and more persistent communities [3,4,68], they may also cause consumer starvation [10,69]. The intercept is ln(a 0 ) for attack rates and ln(h Consistent with previous studies [30,56,57], our results suggest that the temperature dependence of functional response parameters is more complex than simple Arrhenius terms. While the positive quadratic deviation we found in the residual analyses for handling time supports these prior conclusions, we found no hump-shaped relationship of attack rates with increasing temperature.…”

Section: Discussionsupporting

confidence: 86%

“…Also, humps with increasing temperature were reported for attack rates [56] and maximum feeding rates [57] as summarized by Englund et al [30]. Especially, for attack rates in dependency of the body-mass ratio, humps are often reported [36,41,[52][53][54], whereas they appear only in approximately 40 per cent of all studies for temperature [30].…”

Section: ð1:3þmentioning

confidence: 95%

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Universal temperature and body-mass scaling of feeding rates

Rall

Brose

Hartvig

et al. 2012

Phil. Trans. R. Soc. B

421

654

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Knowledge of feeding rates is the basis to understand interaction strength and subsequently the stability of ecosystems and biodiversity. Feeding rates, as all biological rates, depend on consumer and resource body masses and environmental temperature. Despite five decades of research on functional responses as quantitative models of feeding rates, a unifying framework of how they scale with body masses and temperature is still lacking. This is perplexing, considering that the strength of functional responses (i.e. interaction strengths) is crucially important for the stability of simple consumerresource systems and the persistence, sustainability and biodiversity of complex communities. Here, we present the largest currently available database on functional response parameters and their scaling with body mass and temperature. Moreover, these data are integrated across ecosystems and metabolic types of species. Surprisingly, we found general temperature dependencies that differed from the Arrhenius terms predicted by metabolic models. Additionally, the body-mass-scaling relationships were more complex than expected and differed across ecosystems and metabolic types. At local scales (taxonomically narrow groups of consumer-resource pairs), we found hump-shaped deviations from the temperature and body-mass-scaling relationships. Despite the complexity of our results, these body-mass-and temperature-scaling models remain useful as a mechanistic basis for predicting the consequences of warming for interaction strengths, population dynamics and network stability across communities differing in their size structure.

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Section: Discussionsupporting

confidence: 86%

Section: ð1:3þmentioning

confidence: 95%

Universal temperature and body-mass scaling of feeding rates

Rall

Brose

Hartvig

et al. 2012

Phil. Trans. R. Soc. B

421

654

View full text Add to dashboard Cite

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“…We tested three extraguild prey densities: 10, 45, and 90 M. persicae per plant. These represent low, average, and high prey densities for a third instar C. maculata larva, since Sentis, Hemptinne and Brodeur (2012) showed that C. maculata eats on average 35 M. persicae per day under the same experimental conditions. One hour after aphid introduction, one A. aphidimyza larva was placed near the aphid colony; 30 minutes later, a newly molted third instar C. maculata larva was introduced at the bottom of the stem.…”

Section: Experiments 2: Testing Model Predictionsmentioning

confidence: 90%

“…Only three parameters are needed to generate model predictions: the search rate for M. persicae (a eg ) and the handling times for both M. persicae (h eg ) and A. aphidimyza (h ig ). Sentis, Hemptinne and Brodeur (2012) estimated mean values (6 SE) of a eg as 2.064 6 0.756 (0.28 m 2 day À1 ) and h eg as 0.072 6 0.006 (day prey À1 ) at 228C. Note that 0.28 m 2 corresponds to the area of the experimental arena, so 0.28 m 2 day À1 is equivalent to arena day À1 .…”

Section: The Nonlinear Modelmentioning

confidence: 98%

How functional response and productivity modulate intraguild predation

2013

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Abstract. Numerous models have been developed to predict the effect of environmental productivity on the coexistence of prey and predators within the three-species module of intraguild predation. Theoretical models have mainly used Holling Type I and Type II functional response, the latter typically best describing the functional response of a predator. However, no empirical study has simultaneously examined the form of the functional response and the effect of prey density on intraguild interactions. This is surprising considering that the strength of the functional response is crucially important for the stability of simple predator-prey systems and the persistence, sustainability and biodiversity of communities. In this study, we first developed a linear and a nonlinear functional response model for intraguild predators and next used a plant-aphid-predator mesocosm to parameterize the models and test their predictions at different prey densities. As expected, the assumptions of the linear model are not supported by empirical results which lead to systemic overestimation of the predation rate and the intensity of intraguild predation. On the other hand, the predictions of the nonlinear functional response model fit very well with experimental observations mainly because key behavioral characteristics such as handling time are integrated in this model. The nonlinear model is thus a good predictor of intraguild predation and allows a better understanding of how environmental productivity and predator behavior influence the occurrence and outcome of multiple predator interactions.

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“…The variation in predator richness may result from variable temperature and humidity, and prey density along with their dispersal and multiplication efficiency. Temperature is one of the most influential factor in predators' survival, development and reproduction, and most important lypredator-prey interaction strengths triggering their preying efficiency (Sentis et al, 2012).…”

Section: Species Richness In Khulna Regionmentioning

confidence: 99%

Species richness of thrips and whiteflies and their predators in mustard fields

Das

Rahman

Kamal

et al. 2017

J Bangladesh Agric Univ

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With a view to assessing the effect of temperature (ºC) and locations on species richness of thrips and whiteflies and their natural enemies (NEs), predatory Geocoris bug and Asian lady bug beetle (LBB) in mustard field of BARI Sarisha 16, the experiment was carried out at the farmers' fields in two specific locations of Southern Bangladesh, Rupsha, Khulna and Abhaynagar, Jessore during November, 2015 to March, 2016. The studies were laid out with randomized complete block deign (RCBD) maintaining four replicates. The results depicted that there was a significant variation in mean population abundance of thrips, whitefly and their predators across the observation dates, which principally resulted from the variation of temperature along the various observation dates in each location and between locations along with phenological characters of host plants. Initially, population of thrips and whitefly, and their predators were very low in both locations at first observation date of 20 November, 2015 which gradually colonized and reached the peak in 19 March, 2016 with temperature of 27.8°C and 71% RH in Khulna and 26.1ºC and 61% RH in Jessore. Notably, temperature ranging from 22-27°C during mid-February to March, 2016 considerably favors the species richness of both insect pests, thrips and whiteflies, and their predators, Geocoris bug and Asian lady bug beetle in both places. By contrast relative low temperature of 16-20°C from December 20, 2015 to January 29, 2016 affected the species richness of predators and pest as well. The yield of mustard, BARI Sarisha 16 was significantly higher in Jessore (1365.75 kgha -1 ) due to lower pest population and higher predator population relative to Khulna region (1277.25 kgha -1 ). Ecological factors especially temperature appeared as major striking factor of species richness and played crucial role in getting up and down of mustard insect pests and NEs population across various date of observations and between places.

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Using functional response modeling to investigate the effect of temperature on predator feeding rate and energetic efficiency

Cited by 136 publications

References 56 publications

Universal temperature and body-mass scaling of feeding rates

Universal temperature and body-mass scaling of feeding rates

How functional response and productivity modulate intraguild predation

Species richness of thrips and whiteflies and their predators in mustard fields

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