The pasture’s productivity simulated by the third-order polynomial growth curve mathematicalmodel in different years in Maqu grassland coincided with the actualvalue. The simulation results show that themaximum growth rate is70. 2 kg/hm2·d and the minimum is1. 6 kg/hm2·d. Themonthlymaximum yield is2 042. 5 kg/hm2and theminimum is57. 6 kg/hm2. FromMay to September, the 10 days accumulated temperaturewhich is above 0℃increased 1℃, the pasture’s drymatter increased 2. 54 kg/hm2, and the amount of the precipitation increased every 1 mm in every 10 days, the drymatter increased 7. 33 kg/hm2, aswell as the sunshine duration increased every one hour in every 10 days, the drymatter increased 3. 83 kg/hm2. Considering the difference of the climate
tendency for different factors, the ten days precipitation is themain factorwhich influences the pasture’s yield, and the accumulated temperature in every 10 days plays the second role. The climate resources utilization rate in high production year is higher than that in the low production year.

Based on temperature, p recip itation, sunshine hours, evaporation, ≥0 ℃ accumulated temperature and pasture’s yield data from Ap ril to Sep tember during 1985 - 2005 inMaqu grassland, the relation between meteorological factors and pasture’s yield was analyzed through the method of fuzzy cluster analysis. Results indicated that the configuration of light, heat and water has an obvious influence on pasture’s yield, and the pasture’s yield was ralated to ≥0 ℃ accumulated temperature. The gray - relation analysis showed that the p recip itation in Ap ril is crucial to pasture’s recovery and the temperature in June affects pasture’s tiller and heading most, and the p recip itation in July hasmarked influence on pasture’s heading and blooming. Both sunshine hours inMay, July and p recip itation in Sep tember has an influence on pasture’s growth. The negative or accumulated effects of climate change resulted in decrease of pasture’s yield inMaqu grassland. Due to the comp licated climates environment system, itwill have a p ractical significance to set up forecastmodel to forecast pasture’s yield inMaqu grassland.