Variations and drivers of methane fluxes from a rice-wheat rotation agroecosystem in eastern China at seasonal and diurnal scales

Abstract

The paddy rice fields act as an important anthropogenic source of methane (CH4) to the atmosphere. The study of pattern, magnitude, and environmental controls of CH4 emissions are still insufficient due to limited measurements and understand of underlying drivers for variations of CH4 fluxes at different temporal scales. In this study, CH4 fluxes from a rice-wheat rotation agroecosystem in eastern China were continuously measured using the eddy covariance technique. The diurnal and seasonal variations of CH4 flux and potential controlling factors in 2016 were analyzed using wavelet coherence, conditional Granger causality, correlation analysis and path analysis methods. CH4 fluxes showed distinguishable diurnal variations with single peaks during 13: 00–16: 00 local time. At the diurnal timescale, gross primary productivity (GPP) regulates CH4 fluxes after accounting for the effects of latent heat flux (LE), air temperature (TA), and soil temperature (TS) on CH4 fluxes. LE mirrored the diurnal pattern of CH4 fluxes when the effects of TA and TS on CH4 fluxes were considered. Daily CH4 fluxes exhibited large seasonal variations, with the largest daily CH4 flux of 1191.78 mg C-CH4 m−2 d−1 on 29 July 2016. The daily CH4 fluxes were continuously low in the growing season of wheat, and sharply increased from very low values in late June to peaks in late July and early August, and then gradually decreased to low values at the end of the rice growing season in late November and early December. Correlation analysis and path analysis showed that seasonal variations of soil temperature, air temperature, and GPP had strong effects on daily CH4 fluxes during pre-panicle initiation of the rice growing season, while soil temperature and leaf area index (LAI) had very strong effects on daily CH4 fluxes during the post-panicle initiation stage. The total of CH4 fluxes from the rice-wheat rotation agroecosystem into the atmosphere amounted to 58.08 ± 9.87 g C m−2 in 2016, and the annual net carbon (C) budget and greenhouse gas (GHG) budget were 163.50 ± 9.87 g C m−2 and 2322.53 ± 329.00 g CO2eq m−2, respectively. This study represents a comprehensive assessment of fluxes and drivers of CH4 from a rice-wheat rotation agroecosystem at different timescales. Additionally, the consecutive data of CH4 emission in this region will also useful for model calibration and validation.