Wetland can be a potential efficient sink to reduce global warming due to its higher primary productivity and lower carbon decomposition rate. While there has been a series progress on the influence mechanism of ecosystem CO_2 exchange over China's wetlands,a systematic metaanalysis of data still needs to be improved. We compiled data of ecosystem CO_2 exchange of 21 typical wetland vegetation types in China from 29 papers and carried out an integrated analysis of air temperature and precipitation effects on net ecosystem CO_2 exchange (NEE),ecosystem respiration (R_(eco)),gross primary productivity (GPP),the response of NEE to PAR,and the response of R_(eco) to temperature. The results showed that there were significant responses (P < 0.05) of NEE (R~2 = 50%,R~2 = 57%),GPP (R~2 = 60%,R~2 = 50%) R_(eco) (R~2 = 44%,R~2 = 50%) with increasing air temperature and enhanced precipitation on the annual scale. On the growing season scale,air temperature accounted for 50% of the spatial variation of NEE,36% of GPP and 19% of R_(eco),respectively.Both NEE (R~2 = 33%) and GPP (R~2 = 25%) were correlated positively with precipitation (P < 0.05). However,the relationship between R_(eco) and precipitation was not significant (P > 0.05). Across different Chinese wetlands,both precipitation and temperature had no significant effect on apparent quantum yield (alpha) or ecosystem respiration in the daytime (R_(eco,day),P > 0.05). The maximum photosynthesis rate (A_(max)) was remarkably correlated with precipitation (P < 0.01),but not with air temperature. Besides,there was no significant correlation between basal respiration (R_(ref)) and precipitation (P > 0.05). Precipitation was negatively correlated with temperature sensitivity of R_(eco) (Q_(10),P < 0.05). Furthermore,temperature accounted for 35% and 46% of the variations in temperature sensitivity of R_(eco) (Q_(10)) and basal respiration (R_(ref),P < 0.05),respectively.