Abstract
Agriculture (e.g., rice paddies) has been considered one of the main emission sources responsible for the sudden rise of atmospheric methane concentration (XCH4) since 2007, but remains debated. Here we use satellite-based rice paddy and XCH4 data to investigate the spatial–temporal relationships between rice paddy area, rice plant growth, and XCH4 in monsoon Asia, which accounts for ~87% of the global rice area. We find strong spatial consistencies between rice paddy area and XCH4 and seasonal consistencies between rice plant growth and XCH4. Our results also show a decreasing trend in rice paddy area in monsoon Asia since 2007, which suggests that the change in rice paddy area could not be one of the major drivers for the renewed XCH4 growth, thus other sources and sinks should be further investigated. Our findings highlight the importance of satellite-based paddy rice datasets in understanding the spatial–temporal dynamics of XCH4 in monsoon Asia.
Highlights
Agriculture has been considered one of the main emission sources responsible for the sudden rise of atmospheric methane concentration (XCH4) since 2007, but remains debated
Bloom et al.[18] analyzed the roles of wetlands and rice paddies in determining the temporal dynamics and spatial distribution of atmospheric CH4 concentration based on the correlations between XCH4 data from SCIAMACHY and water table depth from the Gravity Recovery and Climate Experiment (GRACE) satellite
We investigated the relationships between the Moderate Resolution Imaging Spectroradiometer (MODIS)-based paddy rice maps and satellite observed XCH4 in monsoon Asia at various spatial and temporal scales
Summary
Agriculture (e.g., rice paddies) has been considered one of the main emission sources responsible for the sudden rise of atmospheric methane concentration (XCH4) since 2007, but remains debated. Most 0.5° gridcells in regions dominated by double rice cropping systems (rice–rice rotation) had statistically significant and positive Pearson’s correlation coefficients between EVIall-rice and XCH4 data at both annual and seasonal scales (Ryear and R5–11), as seen in southern China[36] (Region 3 in Fig. 4a); the area was small due to the limited double-rice croplands[52].
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