Abstract: From December 2018 to November 2019, the eddy-covariance and high-throughput sequencing technology were used to study the methane (CH₄ ) flux and the composition of methanogens in the subalpine peat wetland of Dajiuhu, Shennongjia, Hubei Province. The results and analysis show that the Dajiuhu peat wetland was the source of CH₄  during the study period. The total CH₄  emission was 9 333.26 mg.m^-2, and the average daily CH₄  emission flux was 18.50 nmol.m^-2.s^-1. The average CH₄  emission fluxes in winter, spring, summer, and autumn are 6.46, 4.62, 36.81, and 25.92nmol.m^-2.s^-1, respectively, and there are obvious seasonal variations.The dominant groups of methanogens in the study area are Methanoregula (66.73%) and Methanocella (21.99%).A two-factor analysis of variance was performed on the Shannon index of the methanogens in the samples. The diversity of methanogens in samples of different depths in the same season is significantly different. As the depth increases, the diversity index of methanogens shows a downward trend; the diversity of methanogens in samples of the same depth and different seasons is significantly different. The community composition of methanogens in summer is strongly positively correlated with CH₄  emission flux, and the community composition of methanogens in spring is strongly negatively correlated with CH₄  emission flux. There was a significant positive correlation between Methanothermus and CH₄  emission flux, and a significant negative correlation between Methanolinea and CH4  emission flux.