It is still unclear to what extent variations in foliar d 13 C and nitrogen can be used to detect seasonal changes in canopy productivity. We hypothesize that in a wet and cloudy fir forest, seasonally higher litterfall and lower leaf area index (LAI) are correlated with higher mass-based leaf nitrogen (N mass ) and net primary productivity (NPP), while foliar d 13 C may change with specific leaf area (SLA), area-based leaf nitrogen (N area ), and/or starch concentration. In order to test our hypotheses, stand-level litterfall and the means of d 13 C, N mass , N area , SLA, and starch concentration of canopy needles for a wet and cloudy Abies fabri forest in the Gongga Mountains were monthly measured during the growing season. Seasonal estimates of LAI were obtained from our previous work. A conceptual model was used to predict seasonal NPP of the fir forest. Seasonal mean d 13 C and N mass and climatic variables were used as inputs. The d 13 C across 1-7-year-old needles increased from May to September associated with decreasing SLA and increasing N area . There were no significant differences in seasonal starch concentration. With increasing litterfall and decreasing LAI, seasonal mean N mass increased, while the d 13 C varied little. The simulated NPP increased with increasing litterfall and related traits of N mass and N area . Our data generally supported the hypotheses. The results also suggest that in the forest with relatively moist and cloudy environment, the largest fraction of annual carbon gain may occur in the early part of the growing season when higher litterfall results in higher N mass of canopy leaves.