Journal
GEOPHYSICAL RESEARCH LETTERS
Volume 45, Issue 8, Pages 3737-3745Publisher
AMER GEOPHYSICAL UNION
DOI: 10.1002/2018GL077536
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Funding
- UK Natural Environment Research Council (NERC) Independent Research Fellowship [NE/L010992/1]
- NERC GW4+ studentship
- NERC [NE/N016548/1, NE/N015746/1]
- Joint UK BEIS/Defra Met Office Hadley Centre Climate Programme [GA01101]
- Gordon and Betty Moore Foundation [GBMF5439]
- NERC [NE/L010992/1] Funding Source: UKRI
- Natural Environment Research Council [NE/N016548/1, NE/L010992/1] Funding Source: researchfish
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We present the first spatially resolved wetland delta C-13(CH4) source signature map based on data characterizing wetland ecosystems and demonstrate good agreement with wetland signatures derived from atmospheric observations. The source signature map resolves a latitudinal difference of similar to 10% between northern high-latitude (mean similar to 67.8%) and tropical (mean similar to 56.7%) wetlands and shows significant regional variations on top of the latitudinal gradient. We assess the errors in inverse modeling studies aiming to separate CH4 sources and sinks by comparing atmospheric delta C-13(CH4) derived using our spatially resolved map against the common assumption of globally uniform wetland delta C-13(CH4) signature. We find a larger interhemispheric gradient, a larger high-latitude seasonal cycle, and smaller trend over the period 2000-2012. The implication is that erroneous CH4 fluxes would be derived to compensate for the biases imposed by not utilizing spatially resolved signatures for the largest source of CH4 emissions. These biases are significant when compared to the size of observed signals. Plain Language Summary Concentrations of methane are increasing in the atmosphere. In order to understand the reasons behind such variations, carbon isotopes are used to help identify changes in emission sources and sinks. We present a new global map of the carbon isotope signature associated with wetland methane emissions, the largest global source of methane to the atmosphere. We show how this newly synthesized information can lead to more accurate understanding of the causes of variations in the amount and rate of increase of methane in the atmosphere.
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