Abstract: Based on the data received from remote sensing images,the spatial distribution of annual net primary productivity (NPP) was simulated by the process model (EPPML), and the relationships between annual NPP and environmental conditions were analyzed.The results showed that NPPin1995 was 0.680 kg C·m^-2 ·yr.^-1, mostly ranging from 0.105 to 1.241 kg C·m^-2 ·yr.^-1, accounting for 82.1%. The highest NPP (1.084 kg C·m^-2 ·yr.^-1) appears in mixed broad leaved and Korean pine forest. Environmental conditions decide the main trend of the spatial distribution of annual NPP (Carbon) in Changbai Mountain. Soil water content had a negative correlativity with NPP, and the correlation coefficient (R) was -0.65.Therefore, water was sufficient for the growth of plants in Changbai Mountain. NPP was highly correlated with LAI (R=0.81). When LAI was greater than 4～5 m²·m^-2, NPPbecame saturated. NPP was also highly correlated with canopy transpiration (R=0.77). The response of NPP on environmental conditions, LAIand canopy transpiration in Betula ermanii and broad leaved forests were different from those in other vegetation.