Abstract: In this study, leaf photosynthetic CO₂-response curves of Quercus variabilis and Robinia pseudoacacia were measured using a Li-6400XT photosynthetic measurement system in the southern foot of the Taihang Mountain, China. The rectangular hyperbola model (RH), nonrectangular hyperbola model (NRH) andYe model (YZP) were used to fit photosynthetic-CO₂ response curves and compare photosynthetic parameters, including the maximum net photosynthetic rate (A_max), the initial carboxylation rate (η), light respiration rate (R_p), CO₂ compensation point (CCP) and CO₂ saturation point (CSP). Compared with the NRH and YZP models, A_max, η, R_p and CCP obtained by the RH model were higher, and were 59.8%, 128.6%, 133.4% and 19.8% higher than the measured values. The accuracy of the RH model was lower and its relative error was higher than that of the NRH and YZP models.Compared with the RH and YZP models, A_max fitted by the NRH model was higher, and was 11.1% higher than the measured value. η, R_p and CCP fitted by the NRH model were closer to the measured values. CO₂ saturation phenomenon of photosynthesis could be simulated by the YZP model, and A_max and CSP were fitted well. A_max, R_p and CCP in the shaded leaves of Q. variabilis were 31.3%, 5.2% and 14.3% lower than those in the sunlit leaves. A_max, R_p and CCP in shaded leaves of R. pseudoacacia were 23.5%, 11.0% and 5.4% more than those in the sunlit leaves. η in the shaded leaves of Q. variabilis and R. pseudoacacia were 6.9% and 7.0% higher than those in the sunlit leaves, respectively. R_p and CCP of R. pseudoacacia leaves had linear relationships with temperature (T) and photosynthetic active radiation (PAR), and η had a significant relationship with stomatal conductance (g_s). η of Q. variabilis leaves was linearly correlated with PAR and g_s, and CCP was affected by T and relative humidity. A_max of Q. variabilis leaves had significant positive linear relationships with RH and g_s.