In order to understand the response of net primary production (NPP) of broad-leaved Korean pine forest in Changbai Mountain to climate change and elevated atmospheric CO_2, the authors simulated NPP with parameterized BIOME-BGC model and then tested with field-measured NPP and enhanced vegetation index (EVI). The simulation results show that, the mean NPP of broad-leaved Korean pine forest in Changbai Mountain was 611.71 gC/(m~2·a), ranging between 473.28 and 703.44 gC/(m~2·a) in 1960-2011. The model-simulated NPPs were in accordance with field NPP observations, and the temporal dynamics of simulated NPP was also consistent with that of EVI, suggesting a successful modeling of NPP patterns by BIOME-BGC. Simulated results indicate that the NPP of Korean pine (PK) was limited by growing season precipitation, while the NPP of deciduous broad-leaf trees (DB) was controlled by temperature and precipitation together. The BIOME-BGC predicts that the NPP of broad-leaved Korean pine forest will increasing remarkably under a scenario of increasing temperature, precipitation and atmospheric CO_2 simultaneously, and the NPP of PK and DB will increase 23.96% and 27.87% respectively. Increasing temperature (2℃) or precipitation (12%) alone can both lead to increasing NPP of PK and DB, and temperature had stronger effect than precipitation. However, doubled CO_2 alone do not have significant effect in increasing NPP.