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Updated: May 25, 2026

An Automated Method to Determine the Performance of Drosophila in Response to Temperature Changes in Space and Time
Published on: October 12, 2018
Using functional response modeling to investigate the effect of temperature on predator feeding rate and energetic
Arnaud Sentis1, Jean-Louis Hemptinne, Jacques Brodeur
1Département des Sciences Biologiques, Institut de Recherche en Biologie Végétale, Université de Montréal, Québec H1X 2B2, Canada. arnaud.sentis@umontreal.ca
Abstract:
Temperature is one of the most important environmental parameters influencing all the biological processes and functions of poikilothermic organisms. Although extensive research has been carried out to evaluate the effects of temperature on animal life histories and to determine the upper and lower temperature thresholds as well as the optimal temperatures for survival, development, and reproduction, few studies have investigated links between thermal window, metabolism, and trophic interactions such as predation. We developed models and conducted laboratory experiments to investigate how temperature influences predator-prey interaction strengths (i.e., functional response) using a ladybeetle larva feeding on aphid prey. As predicted by the metabolic theory of ecology, we found that handling time exponentially decreases with warming, but--in contrast with this theory--search rate follows a hump-shaped relationship with temperature. An examination of the model reveals that temperature thresholds for predation depend mainly on search rate, suggesting that predation rate is primarily determined by searching activities and secondly by prey handling. In contrast with prior studies, our model shows that per capita short-term predator-prey interaction strengths and predator energetic efficiency (per capita feeding rate relative to metabolism) generally increase with temperature, reach an optimum, and then decrease at higher temperatures. We conclude that integrating the concept of thermal windows in short- and long-term ecological studies would lead to a better understanding of predator-prey population dynamics at thermal limits and allow better predictions of global warming effects on natural ecosystems.
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