Warming has profound effects on biological rates such as metabolism, growth, feeding and death of organisms, eventually affecting their ability to survive. Metabolism is known to increase faster with warming than feeding rates, which may dampen population cycles and ultimately lead to starvation and extinction of top predators. Using a non-linear bioenergetic population-dynamic model that accounts for temperature and body-mass dependency of biological rates, we analyzed the interactive effects of increasing temperature and varying predator-prey mass ratios on the dynamics of predator-prey pairs. Additionally, we explored the feasible length of food chains for different combinations of temperature and size structures. Our model incorporates latest empirical data to explore the likelihood of species to survive under changing temperature scenarios and thus may be used as a backbone for more complex forecasting models incorporating food web structure or meta-populations.