Tree-Ring width data may reflect a nonlinear response to multivariate climate forcing. Thus, statistical relationships which may represent linearization of nonlinear processes are difficult to validate outside the instrumental era. Moreover, traditional statistical techniques are inadequate when describing tree-growth responses to climate on cellular level. In this paper, we use the Tree-Ring model to simulate climatic response of Pinus koraiensis in the lower mountains of XiaoXing′AnLing. A comparison between simulated and measured Tree-Ring series shows that the Tree-Ring model could model the Pinus tree-growth accurately. Sensitivity analysis indicated that the Tree-Ring growth is sensitive to minimum temperature for photosynthesis, lower optimal temperature for photosynthesis, upper optimal volumetric water content and maximum volumetric water content. Furthermore, the simulation results indicated that variations in Tree-Ring width are mainly controlled by October temperatures of the year prior to growth and April temperatures of the growth year. Cambium growth begins in the last ten-day of April when there is enough water, but temperatures are low in XiaoXing′AnLing, and cambium growth ends in the first ten-day of October, but temperatures of October are between Lower optimal and minimum temperature for photosynthesis, where the photosynthesis speed rate increases at higher temperature. Thus, the higher October temperature, the more is food storage, and the wider is the ring of the next year.