Articles | Volume 9, issue 8
https://doi.org/10.5194/bg-9-2821-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-9-2821-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Seasonal variability of tropical wetland CH4 emissions: the role of the methanogen-available carbon pool
A. A. Bloom
School of GeoSciences, University of Edinburgh, Edinburgh, UK
P. I. Palmer
School of GeoSciences, University of Edinburgh, Edinburgh, UK
A. Fraser
School of GeoSciences, University of Edinburgh, Edinburgh, UK
D. S. Reay
School of GeoSciences, University of Edinburgh, Edinburgh, UK
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Cited
54 citations as recorded by crossref.
- Inverse modeling of 2010–2022 satellite observations shows that inundation of the wet tropics drove the 2020–2022 methane surge Z. Qu et al. 10.1073/pnas.2402730121
- Satellite Constraints on the Latitudinal Distribution and Temperature Sensitivity of Wetland Methane Emissions S. Ma et al. 10.1029/2021AV000408
- A measurement-based verification framework for UK greenhouse gas emissions: an overview of the Greenhouse gAs Uk and Global Emissions (GAUGE) project P. Palmer et al. 10.5194/acp-18-11753-2018
- Assessment of Methane Variability from Natural Wetlands of Uttar Pradesh, India-Implications for Tropical Countries S. Bansal et al. 10.3923/rjes.2015.101.118
- The role of filamentous algae Spirogyra spp. in methane production and emissions in streams X. Liang et al. 10.1007/s00027-015-0419-2
- Reviewing the organic matter processing by wetlands M. Cunha-Santino & I. Bianchini Júnior 10.1590/s2179-975x3423
- Evaluating year-to-year anomalies in tropical wetland methane emissions using satellite CH4 observations R. Parker et al. 10.1016/j.rse.2018.02.011
- Estimating regional fluxes of CO<sub>2</sub> and CH<sub>4</sub> using space-borne observations of XCH<sub>4</sub>: XCO<sub>2</sub> A. Fraser et al. 10.5194/acp-14-12883-2014
- Challenges Regionalizing Methane Emissions Using Aquatic Environments in the Amazon Basin as Examples J. Melack et al. 10.3389/fenvs.2022.866082
- CH4 concentrations over the Amazon from GOSAT consistent with in situ vertical profile data A. Webb et al. 10.1002/2016JD025263
- Consistent regional fluxes of CH<sub>4</sub> and CO<sub>2</sub> inferred from GOSAT proxy XCH<sub>4</sub> : XCO<sub>2</sub> retrievals, 2010–2014 L. Feng et al. 10.5194/acp-17-4781-2017
- Hypotheses for Near-Surface Exchange of Methane on Mars R. Hu et al. 10.1089/ast.2015.1410
- Aquatic methane dynamics in a human‐impacted river‐floodplain of the Danube A. Sieczko et al. 10.1002/lno.10346
- Isotopic and Concentration Analyses of CO2 and CH4 in Association With the Eddy‐Covariance Based Measurements in a Tropical Forest of Northeast India A. Metya et al. 10.1029/2020EA001504
- Editorial: Linking nitrogen cycling transformations to microbial diversity in freshwater ecosystems A. Castellano-Hinojosa et al. 10.3389/fmicb.2022.1098905
- Dissolved methane concentrations and fluxes to the atmosphere from a tropical floodplain lake P. Barbosa et al. 10.1007/s10533-020-00650-1
- Atmospheric observations consistent with reported decline in the UK's methane emissions (2013–2020) M. Lunt et al. 10.5194/acp-21-16257-2021
- Spatial methane emission modelling from wetlands using geospatial tools S. Bansal et al. 10.1080/01431161.2018.1513182
- Assessing Methane Emissions From Tropical Wetlands: Uncertainties From Natural Variability and Drivers at the Global Scale F. Murguia‐Flores et al. 10.1029/2022GB007601
- Estimating regional methane surface fluxes: the relative importance of surface and GOSAT mole fraction measurements A. Fraser et al. 10.5194/acp-13-5697-2013
- Large emissions from floodplain trees close the Amazon methane budget S. Pangala et al. 10.1038/nature24639
- Linking soil respiration and water table depth in tropical peatlands with remotely sensed changes in water storage from the gravity recovery and climate experiment E. Swails et al. 10.1007/s11027-018-9822-z
- Reduced biomass burning emissions reconcile conflicting estimates of the post-2006 atmospheric methane budget J. Worden et al. 10.1038/s41467-017-02246-0
- Amazon methane budget derived from multi-year airborne observations highlights regional variations in emissions L. Basso et al. 10.1038/s43247-021-00314-4
- Quantifying methane and nitrous oxide emissions from the UK and Ireland using a national-scale monitoring network A. Ganesan et al. 10.5194/acp-15-6393-2015
- Seasonal and interannual variability in wetland methane emissions simulated by CLM4Me' and CAM-chem and comparisons to observations of concentrations L. Meng et al. 10.5194/bg-12-4029-2015
- Enhanced response of global wetland methane emissions to the 2015–2016 El Niño-Southern Oscillation event Z. Zhang et al. 10.1088/1748-9326/aac939
- What are the greenhouse gas observing system requirements for reducing fundamental biogeochemical process uncertainty? Amazon wetland CH<sub>4</sub> emissions as a case study A. Bloom et al. 10.5194/acp-16-15199-2016
- Molecular evidence for stimulation of methane oxidation in Amazonian floodplains by ammonia-oxidizing communities G. Monteiro et al. 10.3389/fmicb.2022.913453
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- Modeling spatiotemporal dynamics of global wetlands: comprehensive evaluation of a new sub-grid TOPMODEL parameterization and uncertainties Z. Zhang et al. 10.5194/bg-13-1387-2016
- Role of regional wetland emissions in atmospheric methane variability J. McNorton et al. 10.1002/2016GL070649
- Methane Emissions from a Grassland-Wetland Complex in the Southern Peruvian Andes S. Jones et al. 10.3390/soilsystems3010002
- Gas ebullition from petroleum hydrocarbons in aquatic sediments: A review M. Zamanpour et al. 10.1016/j.jenvman.2020.110997
- Understanding nighttime methane signals at the Amazon Tall Tower Observatory (ATTO) S. Botía et al. 10.5194/acp-20-6583-2020
- A Remote Sensing Technique to Upscale Methane Emission Flux in a Subtropical Peatland C. Zhang et al. 10.1029/2020JG006002
- CH4 and CO2 from Decomposition of Salvinia auriculata Aublet, a Macrophyte with High Invasive Potential I. Bianchini & M. da Cunha-Santino 10.1007/s13157-016-0765-4
- Characteristics and metabolic patterns of soil methanogenic archaea communities in the high‐latitude natural forested wetlands of China D. Wu et al. 10.1002/ece3.7842
- Satellite observations of atmospheric methane and their value for quantifying methane emissions D. Jacob et al. 10.5194/acp-16-14371-2016
- Patterns of Potential Methanogenesis Along Soil Moisture Gradients Following Drying and Rewetting in Midwestern Prairie Pothole Wetlands S. Kannenberg et al. 10.1007/s13157-015-0653-3
- Contribution of regional sources to atmospheric methane over the Amazon Basin in 2010 and 2011 C. Wilson et al. 10.1002/2015GB005300
- Comparison of the HadGEM2 climate-chemistry model against in situ and SCIAMACHY atmospheric methane data G. Hayman et al. 10.5194/acp-14-13257-2014
- Constraints on methane emissions in North America from future geostationary remote-sensing measurements N. Bousserez et al. 10.5194/acp-16-6175-2016
- Impact on short-lived climate forcers increases projected warming due to deforestation C. Scott et al. 10.1038/s41467-017-02412-4
- Atmospheric observations show accurate reporting and little growth in India’s methane emissions A. Ganesan et al. 10.1038/s41467-017-00994-7
- Designing optimal greenhouse gas monitoring networks for Australia T. Ziehn et al. 10.5194/gi-5-1-2016
- Quantifying lower tropospheric methane concentrations using GOSAT near-IR and TES thermal IR measurements J. Worden et al. 10.5194/amt-8-3433-2015
- The decadal state of the terrestrial carbon cycle: Global retrievals of terrestrial carbon allocation, pools, and residence times A. Bloom et al. 10.1073/pnas.1515160113
- Impact on short-lived climate forcers (SLCFs) from a realistic land-use change scenario via changes in biogenic emissions C. Scott et al. 10.1039/C7FD00028F
- An increase in methane emissions from tropical Africa between 2010 and 2016 inferred from satellite data M. Lunt et al. 10.5194/acp-19-14721-2019
54 citations as recorded by crossref.
- Inverse modeling of 2010–2022 satellite observations shows that inundation of the wet tropics drove the 2020–2022 methane surge Z. Qu et al. 10.1073/pnas.2402730121
- Satellite Constraints on the Latitudinal Distribution and Temperature Sensitivity of Wetland Methane Emissions S. Ma et al. 10.1029/2021AV000408
- A measurement-based verification framework for UK greenhouse gas emissions: an overview of the Greenhouse gAs Uk and Global Emissions (GAUGE) project P. Palmer et al. 10.5194/acp-18-11753-2018
- Assessment of Methane Variability from Natural Wetlands of Uttar Pradesh, India-Implications for Tropical Countries S. Bansal et al. 10.3923/rjes.2015.101.118
- The role of filamentous algae Spirogyra spp. in methane production and emissions in streams X. Liang et al. 10.1007/s00027-015-0419-2
- Reviewing the organic matter processing by wetlands M. Cunha-Santino & I. Bianchini Júnior 10.1590/s2179-975x3423
- Evaluating year-to-year anomalies in tropical wetland methane emissions using satellite CH4 observations R. Parker et al. 10.1016/j.rse.2018.02.011
- Estimating regional fluxes of CO<sub>2</sub> and CH<sub>4</sub> using space-borne observations of XCH<sub>4</sub>: XCO<sub>2</sub> A. Fraser et al. 10.5194/acp-14-12883-2014
- Challenges Regionalizing Methane Emissions Using Aquatic Environments in the Amazon Basin as Examples J. Melack et al. 10.3389/fenvs.2022.866082
- CH4 concentrations over the Amazon from GOSAT consistent with in situ vertical profile data A. Webb et al. 10.1002/2016JD025263
- Consistent regional fluxes of CH<sub>4</sub> and CO<sub>2</sub> inferred from GOSAT proxy XCH<sub>4</sub> : XCO<sub>2</sub> retrievals, 2010–2014 L. Feng et al. 10.5194/acp-17-4781-2017
- Hypotheses for Near-Surface Exchange of Methane on Mars R. Hu et al. 10.1089/ast.2015.1410
- Aquatic methane dynamics in a human‐impacted river‐floodplain of the Danube A. Sieczko et al. 10.1002/lno.10346
- Isotopic and Concentration Analyses of CO2 and CH4 in Association With the Eddy‐Covariance Based Measurements in a Tropical Forest of Northeast India A. Metya et al. 10.1029/2020EA001504
- Editorial: Linking nitrogen cycling transformations to microbial diversity in freshwater ecosystems A. Castellano-Hinojosa et al. 10.3389/fmicb.2022.1098905
- Dissolved methane concentrations and fluxes to the atmosphere from a tropical floodplain lake P. Barbosa et al. 10.1007/s10533-020-00650-1
- Atmospheric observations consistent with reported decline in the UK's methane emissions (2013–2020) M. Lunt et al. 10.5194/acp-21-16257-2021
- Spatial methane emission modelling from wetlands using geospatial tools S. Bansal et al. 10.1080/01431161.2018.1513182
- Assessing Methane Emissions From Tropical Wetlands: Uncertainties From Natural Variability and Drivers at the Global Scale F. Murguia‐Flores et al. 10.1029/2022GB007601
- Estimating regional methane surface fluxes: the relative importance of surface and GOSAT mole fraction measurements A. Fraser et al. 10.5194/acp-13-5697-2013
- Large emissions from floodplain trees close the Amazon methane budget S. Pangala et al. 10.1038/nature24639
- Linking soil respiration and water table depth in tropical peatlands with remotely sensed changes in water storage from the gravity recovery and climate experiment E. Swails et al. 10.1007/s11027-018-9822-z
- Reduced biomass burning emissions reconcile conflicting estimates of the post-2006 atmospheric methane budget J. Worden et al. 10.1038/s41467-017-02246-0
- Amazon methane budget derived from multi-year airborne observations highlights regional variations in emissions L. Basso et al. 10.1038/s43247-021-00314-4
- Quantifying methane and nitrous oxide emissions from the UK and Ireland using a national-scale monitoring network A. Ganesan et al. 10.5194/acp-15-6393-2015
- Seasonal and interannual variability in wetland methane emissions simulated by CLM4Me' and CAM-chem and comparisons to observations of concentrations L. Meng et al. 10.5194/bg-12-4029-2015
- Enhanced response of global wetland methane emissions to the 2015–2016 El Niño-Southern Oscillation event Z. Zhang et al. 10.1088/1748-9326/aac939
- What are the greenhouse gas observing system requirements for reducing fundamental biogeochemical process uncertainty? Amazon wetland CH<sub>4</sub> emissions as a case study A. Bloom et al. 10.5194/acp-16-15199-2016
- Molecular evidence for stimulation of methane oxidation in Amazonian floodplains by ammonia-oxidizing communities G. Monteiro et al. 10.3389/fmicb.2022.913453
- A global wetland methane emissions and uncertainty dataset for atmospheric chemical transport models (WetCHARTs version 1.0) A. Bloom et al. 10.5194/gmd-10-2141-2017
- Changes in Methane Emission and Community Composition of Methane-Cycling Microorganisms Along an Elevation Gradient in the Dongting Lake Floodplain, China Y. Ren et al. 10.3390/atmos11090997
- Greenhouse gas observation network design for Africa A. Nickless et al. 10.1080/16000889.2020.1824486
- Simulations of atmospheric methane for Cape Grim, Tasmania, to constrain southeastern Australian methane emissions Z. Loh et al. 10.5194/acp-15-305-2015
- Rain-fed pulses of methane from East Africa during 2018–2019 contributed to atmospheric growth rate M. Lunt et al. 10.1088/1748-9326/abd8fa
- Modeling spatiotemporal dynamics of global wetlands: comprehensive evaluation of a new sub-grid TOPMODEL parameterization and uncertainties Z. Zhang et al. 10.5194/bg-13-1387-2016
- Role of regional wetland emissions in atmospheric methane variability J. McNorton et al. 10.1002/2016GL070649
- Methane Emissions from a Grassland-Wetland Complex in the Southern Peruvian Andes S. Jones et al. 10.3390/soilsystems3010002
- Gas ebullition from petroleum hydrocarbons in aquatic sediments: A review M. Zamanpour et al. 10.1016/j.jenvman.2020.110997
- Understanding nighttime methane signals at the Amazon Tall Tower Observatory (ATTO) S. Botía et al. 10.5194/acp-20-6583-2020
- A Remote Sensing Technique to Upscale Methane Emission Flux in a Subtropical Peatland C. Zhang et al. 10.1029/2020JG006002
- CH4 and CO2 from Decomposition of Salvinia auriculata Aublet, a Macrophyte with High Invasive Potential I. Bianchini & M. da Cunha-Santino 10.1007/s13157-016-0765-4
- Characteristics and metabolic patterns of soil methanogenic archaea communities in the high‐latitude natural forested wetlands of China D. Wu et al. 10.1002/ece3.7842
- Satellite observations of atmospheric methane and their value for quantifying methane emissions D. Jacob et al. 10.5194/acp-16-14371-2016
- Patterns of Potential Methanogenesis Along Soil Moisture Gradients Following Drying and Rewetting in Midwestern Prairie Pothole Wetlands S. Kannenberg et al. 10.1007/s13157-015-0653-3
- Contribution of regional sources to atmospheric methane over the Amazon Basin in 2010 and 2011 C. Wilson et al. 10.1002/2015GB005300
- Comparison of the HadGEM2 climate-chemistry model against in situ and SCIAMACHY atmospheric methane data G. Hayman et al. 10.5194/acp-14-13257-2014
- Constraints on methane emissions in North America from future geostationary remote-sensing measurements N. Bousserez et al. 10.5194/acp-16-6175-2016
- Impact on short-lived climate forcers increases projected warming due to deforestation C. Scott et al. 10.1038/s41467-017-02412-4
- Atmospheric observations show accurate reporting and little growth in India’s methane emissions A. Ganesan et al. 10.1038/s41467-017-00994-7
- Designing optimal greenhouse gas monitoring networks for Australia T. Ziehn et al. 10.5194/gi-5-1-2016
- Quantifying lower tropospheric methane concentrations using GOSAT near-IR and TES thermal IR measurements J. Worden et al. 10.5194/amt-8-3433-2015
- The decadal state of the terrestrial carbon cycle: Global retrievals of terrestrial carbon allocation, pools, and residence times A. Bloom et al. 10.1073/pnas.1515160113
- Impact on short-lived climate forcers (SLCFs) from a realistic land-use change scenario via changes in biogenic emissions C. Scott et al. 10.1039/C7FD00028F
- An increase in methane emissions from tropical Africa between 2010 and 2016 inferred from satellite data M. Lunt et al. 10.5194/acp-19-14721-2019
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