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Temperature response and sensitivity of photosynthesis and respiration are critical for projection of changes in the carbon exchange and net primary production of terrestrial ecosystems under global warming. Understanding the mechanisms and processes of photosynthetic and respiratory acclimation in response to warming may shed further lights on the change of crop yield in agricultural ecosystems in a warmer climate regime. We examined the temperature responses and sensitivity of net photosynthetic rate ( A n ) and dark respiration ( R d ) for exploring the mechanisms of thermal acclimation associated with physiological and biochemical processes affecting maize yield in the North China Plain with a field manipulative warming experiment. We found that warming substantially enhanced the carbon gain of maize plants through facilitating CO 2 diffusion from ambient air to chloroplasts by altering stomatal structure and spatial distribution pattern, and benefitting CO 2 assimilation efficiency with smaller vascular bundles and bigger chloroplasts. Moreover, we also found that acclimation of A n to temperature ( T ), evidenced by the upward shift of A n – T , was determined by the maximum velocity of Rubisco carboxylation ( V cmax ), the maximum rate of electron transport ( J max ), and the stomatal-regulated CO 2 diffusion process, whereas the balance between respiration and gross photosynthetic rate ( R d / A g ), and/or regeneration of RuBP and the Rubisco carboxylation ( J max / V cmax ) made little contribution to the thermal acclimation of A n in maize plants. In addition, temperature response and sensitivity of R d was closely associated with the changes in foliar N concentration induced by warming. As a result, experimental warming barely affected the yield and biomass of maize plants. These results suggest that the impacts of future climate warming on maize production may be mitigated or even offset by the leaf-level thermal acclimation of photosynthesis and respiration. Our findings may have important implications for improving the accuracy of process-based ecosystem models and advancing the understanding on the interactions between ecosystem functions and climate warming. [ABSTRACT FROM AUTHOR]