Abstract: The productivity of forest trees has close relationships with climate. Understanding the relationships between forest tree productivity at different age stages and climate factors is of significance in the productivity prediction and forest management. By using the meteorological data (including mean monthly and annual air temperature, mean relative moisture, total precipitation, and total sunshine duration) in 1964-2011, and in combining with climate moisture index, this paper quantitatively evaluated the relationships between Pinus massoniana productivity at different age stages and climate factors. The P. massoniana productivity in the last 47 years was calculated based on the relationships between tree biomass and diameter at breast height (DBH). Analysis of covariance, partial correlation, and stepwise multiple regression analysis were adopted to identify the effects of climate factors on the P. massoniana productivity. The results showed that the effects of climatic factors on the P. massoniana productivity differed with tree age. The productivity of young trees was significantly affected by the relative humidity in March and the climate moist condition in January; the productivity of middleaged trees was significantly affected by the high air temperature in July and October, the sunshine duration in September, and the climate moist condition in July and May; whereas the productivity of premature trees showed significantly positive responses to the precipitation and climate moist condition in July. The warm and humid climate was favorable for the growth of P. massoniana, but the high temperature and low precipitation limited the productivity of middle-aged and premature trees.

Key words: revised wind erosion equation (RWEQ) model, sandfixing effect, spatiotemporal change, driving force.