Abstract: 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 CO₂ exchange over China’s wetlands, a systematic metaanalysis of data still needs to be improved. We compiled data of ecosystem CO₂ 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 CO₂ 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 (R²=50%, R²=57%), GPP (R²=60%, R²=50%) R_eco (R²=44%, R²=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 (R²=33%) and GPP (R²=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 (α) 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〖KG*3〗（R_ref）and precipitation (P>0.05). Precipitation was negatively correlated with temperature sensitivity of R_eco(Q₁₀, P<0.05). Furthermore, temperature accounted for 35% and 46% of the variations in temperature sensitivity of R_eco(Q₁₀) and basal respiration (R_ref, P<0.05), respectively.