Abstract: Based on the perennial plants (Salix matsudana and Aphis sophricola) phenology data during 1980-2004 and the annual plants (wheat and corn) phenology data during 1981-2008 from Wuwei meteorological bureau,the key phenology climate predicting model was established by using the methods of linear trend estimation,puffs related and SPSS software counts to stepwise regression and variance analysisThe results showed that the perennial woody plants differed from 20d to 38d,and the annual herbal plants differed from 11d to 30d,which showed plants phenology was sensitive to climate change.The perennial plants phenology were advanced in spring with linear trend -2.008~-3.246d/10y (P<0.05),and their autumn phenology were postponed with linear trend 6.631~7.108d/10y(P<0.01).The annual plants were advanced both in spring and summer phenology with linear trend -1.494~-4.122 d/10y (P<0.05),but the autumn phenology did not changed.For the perennial plants,green leaves stage prolonged 1.046~7.738d/10y,vegetative growth stage prolonged 0.877~8.454d/10y,accumulated substance stage prolonged 4.392~7.738d/10y and autumn growth stage prolonged 0.477~3.015d/10y.For annual plant,vegetative growth stage shortened 2.17~3.41d/10y,autumn reproduction growth stage prolonged 3.322d/10y.Average temperate,soil temperature (20cm,80cm and 160cm),average minimum temperature and average maximum temperature were main influenced meteorological factors both for perennial and annual plants.The perennial plant phenology advanced in spring and postponed in summer and autumn,but the annual plant phenology advanced in spring,summer and autumn.

Key words: Phenology, Climate change, Response, Different type