South Asia's methane sources don't match global patterns, complicating climate tracking
Researchers have identified distinct methane fingerprints from South Asia's major sources—rice paddies, livestock, and biomass burning—that deviate significantly from global averages used in climate models. The finding means current top-down emission estimates for the region are likely inaccurate, forcing policymakers and carbon markets to recalibrate their monitoring strategies.
Originaltitel: Distinct dual-isotopic signatures of major methane sources in South Asia
Abstract. Methane is a powerful greenhouse gas contributing significantly to global warming. South Asia is a major methane emission region, yet source-diagnostic isotopic signatures remain poorly constrained, limiting top-down source attribution. To address this gap, we conducted extensive sampling and isotopic analyses of major methane sources in South Asia. Our results reveal substantial deviations of South Asian methane source fingerprints from global means. Methane from C3 biomass burning is more depleted in δ13C (–30.9±2.2 ‰) but more enriched in δ2H (–201±18 ‰), while ruminant methane (C3) is strongly depleted in both δ13C (–68.7±0.5 ‰) and δ2H (–343±6 ‰). In contrast, rice paddy methane is more enriched in δ13C (–53.8±0.8 ‰) and δ2H (–311±6 ‰), with their ratios signaling pre-emission oxidation. Wastewater methane shows enriched δ13C (–45.0±2.4 ‰) and depleted δ2H (–350±10 ‰) relative to global means, with minimal oxidation or spatial variation. These pronounced regional differences highlight the importance of using regionally constrained source fingerprints in isotope-based source apportionment. A global synthesis further shows that δ13C signatures of biomass burning and ruminant methane are primarily controlled by C3/C4 feedstocks, whereas δ2H is relatively insensitive to substrate type. Methane from rice paddies and wetlands exhibits strong latitudinal gradients worldwide. Combining emission inventories with source-specific isotope fingerprints reveals a mismatch with atmospheric methane in South Asia, suggesting an overestimation of rice paddy emissions and/or an underestimation of other microbial sources. These findings demonstrate the utility of top-down dual-isotope constraints to refine regional methane budgets and mitigation strategies.