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Large Methane Emissions From the Pantanal During Rising Water‐Levels Revealed by Regularly Measured Lower Troposphere CH 4 Profiles
Author(s) -
Gloor M.,
Gatti L. V.,
Wilson C.,
Parker R. J.,
Boesch H.,
Popa E.,
Chipperfield M. P.,
Poulter B.,
Zhang Z.,
Basso L.,
Miller J.,
McNorton J.,
Jimenez C.,
Prigent C.
Publication year - 2021
Publication title -
global biogeochemical cycles
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.512
H-Index - 187
eISSN - 1944-9224
pISSN - 0886-6236
DOI - 10.1029/2021gb006964
Subject(s) - troposphere , environmental science , atmospheric sciences , seasonality , flux (metallurgy) , planetary boundary layer , wetland , atmospheric methane , climatology , boundary layer , greenhouse gas , geology , chemistry , ecology , oceanography , physics , organic chemistry , biology , thermodynamics
The Pantanal region of Brazil is the largest seasonally flooded tropical grassland and, according to local chamber measurements, a substantial CH 4 source. CH 4 emissions from wetlands have recently become of heightened interest because global atmospheric 13 CH 4 data indicate they may contribute to the resumption of atmospheric CH 4 growth since 2007. We have regularly measured vertical atmospheric profiles for 2 years in the center of the Pantanal with the objectives to obtain an estimate of CH 4 emissions using an atmospheric approach, and provide information about flux seasonality and its relation to controlling factors. Boundary layer‐free troposphere differences observed in the Pantanal are large compared to other wetlands. Total emissions based on a planetary boundary layer budgeting technique are 2.0–2.8 TgCH 4  yr −1 (maximum flux ∼0.4 gCH 4  m −2  d −1 ) while those based on a Bayesian inversion using an atmospheric transport model are ∼3.3 TgCH 4  yr −1 . Compared to recent estimates for Amazonia (∼41 ± 3 TgCH 4  yr −1 , maximum flux ∼0.3 gCH 4 m −2  d −1 ) these emissions are not that large. Our Pantanal data suggest a clear flux seasonality with CH 4 being released in large amounts just after water levels begin to rise again after minimum levels have been reached. CH 4 emissions decline substantially once the maximum water level has been reached. While predictions with prognostic wetland CH 4 emission models agree well with the magnitude of the fluxes, they disagree with the phasing. Our approach shows promise for detecting and understanding longer‐term trends in CH 4 emissions and the potential for future wetlands CH 4 emissions climate feedbacks.

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