Articles | Volume 11, issue 6
https://doi.org/10.5194/bg-11-1519-2014
© Author(s) 2014. 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-11-1519-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
21 Mar 2014
Research article |
| 21 Mar 2014
Methane emissions from floodplains in the Amazon Basin: challenges in developing a process-based model for global applications
B. Ringeval
Institute of Marine and Atmospheric research Utrecht (IMAU), Utrecht University, Utrecht, the Netherlands
SRON Netherlands Institute for Space Research, Utrecht, the Netherlands
Department of Systems Ecology, Vrije Universiteit, Amsterdam, the Netherlands
INRA, UMR1391 ISPA, 33140 Villenave d'Ornon, France
Bordeaux Science Agro, UMR1391 ISPA, 33170 Gradignan, France
S. Houweling
Institute of Marine and Atmospheric research Utrecht (IMAU), Utrecht University, Utrecht, the Netherlands
SRON Netherlands Institute for Space Research, Utrecht, the Netherlands
P. M. van Bodegom
Department of Systems Ecology, Vrije Universiteit, Amsterdam, the Netherlands
R. Spahni
Climate and Environmental Physics, Physics Institute, and Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
R. van Beek
Department of Physical Geography, Utrecht University, Utrecht, the Netherlands
Climate and Environmental Physics, Physics Institute, and Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
T. Röckmann
Institute of Marine and Atmospheric research Utrecht (IMAU), Utrecht University, Utrecht, the Netherlands
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Cited
28 citations as recorded by crossref.
- Global inverse modeling of CH<sub>4</sub> sources and sinks: an overview of methods S. Houweling et al. 10.5194/acp-17-235-2017
- DYPTOP: a cost-efficient TOPMODEL implementation to simulate sub-grid spatio-temporal dynamics of global wetlands and peatlands B. Stocker et al. 10.5194/gmd-7-3089-2014
- The Potential of the Geostationary Carbon Cycle Observatory (GeoCarb) to Provide Multi-scale Constraints on the Carbon Cycle in the Americas B. Moore III et al. 10.3389/fenvs.2018.00109
- Methane fluxes from tropical coastal lagoons surrounded by mangroves, Yucatán, Mexico P. Chuang et al. 10.1002/2017JG003761
- Methane emission suppression in flooded soil from Amazonia G. Gabriel et al. 10.1016/j.chemosphere.2020.126263
- Aquatic methane dynamics in a human‐impacted river‐floodplain of the Danube A. Sieczko et al. 10.1002/lno.10346
- Large emissions from floodplain trees close the Amazon methane budget S. Pangala et al. 10.1038/nature24639
- Understanding the glacial methane cycle P. Hopcroft et al. 10.1038/ncomms14383
- Modelling methane formation in sediments of tropical lakes focusing on syntrophic acetate oxidation: Dynamic and static carbon isotope equations V. Vavilin et al. 10.1016/j.ecolmodel.2017.08.024
- 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
- Grazing alters net ecosystem C fluxes and the global warming potential of a subtropical pasture N. Gomez‐Casanovas et al. 10.1002/eap.1670
- Large and increasing methane emissions from eastern Amazonia derived from satellite data, 2010–2018 C. Wilson et al. 10.5194/acp-21-10643-2021
- Not just a methane source: Amazonian floodplain sediments harbour a high diversity of methanotrophs with different metabolic capabilities J. Gontijo et al. 10.1111/mec.15912
- Objectified quantification of uncertainties in Bayesian atmospheric inversions A. Berchet et al. 10.5194/gmd-8-1525-2015
- A global‐scale analysis of water storage dynamics of inland wetlands: Quantifying the impacts of human water use and man‐made reservoirs as well as the unavoidable and avoidable impacts of climate change P. Döll et al. 10.1002/eco.2175
- Methane Feedbacks to the Global Climate System in a Warmer World J. Dean et al. 10.1002/2017RG000559
- Streamflow, stomata, and soil pits: Sources of inference for complex models with fast, robust uncertainty quantification M. Dwelle et al. 10.1016/j.advwatres.2019.01.002
- 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
- Development and Evaluation of a Multi-Year Fractional Surface Water Data Set Derived from Active/Passive Microwave Remote Sensing Data R. Schroeder et al. 10.3390/rs71215843
- Understanding nighttime methane signals at the Amazon Tall Tower Observatory (ATTO) S. Botía et al. 10.5194/acp-20-6583-2020
- Large Methane Emissions From the Pantanal During Rising Water‐Levels Revealed by Regularly Measured Lower Troposphere CH 4 Profiles M. Gloor et al. 10.1029/2021GB006964
- Global hydrology 2015: State, trends, and directions M. Bierkens 10.1002/2015WR017173
- Spatiotemporal variability and origin of CO 2 and CH 4 tree stem fluxes in an upland forest J. Barba et al. 10.1111/gcb.15783
- The relative importance of methane sources and sinks over the Last Interglacial period and into the last glaciation A. Quiquet et al. 10.1016/j.quascirev.2015.01.004
- The global methane budget 2000–2012 M. Saunois et al. 10.5194/essd-8-697-2016
- Highly Dynamic Methane Emission from the West Siberian Boreal Floodplains I. Terentieva et al. 10.1007/s13157-018-1088-4
- Active methane processing microbes and the disproportionate role of NC10 phylum in methane mitigation in Amazonian floodplains M. Bento et al. 10.1007/s10533-021-00846-z
- Modeling Methane Emissions from Amazon Floodplain Ecosystems C. Potter et al. 10.1007/s13157-014-0516-3
27 citations as recorded by crossref.
- Global inverse modeling of CH<sub>4</sub> sources and sinks: an overview of methods S. Houweling et al. 10.5194/acp-17-235-2017
- DYPTOP: a cost-efficient TOPMODEL implementation to simulate sub-grid spatio-temporal dynamics of global wetlands and peatlands B. Stocker et al. 10.5194/gmd-7-3089-2014
- The Potential of the Geostationary Carbon Cycle Observatory (GeoCarb) to Provide Multi-scale Constraints on the Carbon Cycle in the Americas B. Moore III et al. 10.3389/fenvs.2018.00109
- Methane fluxes from tropical coastal lagoons surrounded by mangroves, Yucatán, Mexico P. Chuang et al. 10.1002/2017JG003761
- Methane emission suppression in flooded soil from Amazonia G. Gabriel et al. 10.1016/j.chemosphere.2020.126263
- Aquatic methane dynamics in a human‐impacted river‐floodplain of the Danube A. Sieczko et al. 10.1002/lno.10346
- Large emissions from floodplain trees close the Amazon methane budget S. Pangala et al. 10.1038/nature24639
- Understanding the glacial methane cycle P. Hopcroft et al. 10.1038/ncomms14383
- Modelling methane formation in sediments of tropical lakes focusing on syntrophic acetate oxidation: Dynamic and static carbon isotope equations V. Vavilin et al. 10.1016/j.ecolmodel.2017.08.024
- 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
- Grazing alters net ecosystem C fluxes and the global warming potential of a subtropical pasture N. Gomez‐Casanovas et al. 10.1002/eap.1670
- Large and increasing methane emissions from eastern Amazonia derived from satellite data, 2010–2018 C. Wilson et al. 10.5194/acp-21-10643-2021
- Not just a methane source: Amazonian floodplain sediments harbour a high diversity of methanotrophs with different metabolic capabilities J. Gontijo et al. 10.1111/mec.15912
- Objectified quantification of uncertainties in Bayesian atmospheric inversions A. Berchet et al. 10.5194/gmd-8-1525-2015
- A global‐scale analysis of water storage dynamics of inland wetlands: Quantifying the impacts of human water use and man‐made reservoirs as well as the unavoidable and avoidable impacts of climate change P. Döll et al. 10.1002/eco.2175
- Methane Feedbacks to the Global Climate System in a Warmer World J. Dean et al. 10.1002/2017RG000559
- Streamflow, stomata, and soil pits: Sources of inference for complex models with fast, robust uncertainty quantification M. Dwelle et al. 10.1016/j.advwatres.2019.01.002
- 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
- Development and Evaluation of a Multi-Year Fractional Surface Water Data Set Derived from Active/Passive Microwave Remote Sensing Data R. Schroeder et al. 10.3390/rs71215843
- Understanding nighttime methane signals at the Amazon Tall Tower Observatory (ATTO) S. Botía et al. 10.5194/acp-20-6583-2020
- Large Methane Emissions From the Pantanal During Rising Water‐Levels Revealed by Regularly Measured Lower Troposphere CH 4 Profiles M. Gloor et al. 10.1029/2021GB006964
- Global hydrology 2015: State, trends, and directions M. Bierkens 10.1002/2015WR017173
- Spatiotemporal variability and origin of CO 2 and CH 4 tree stem fluxes in an upland forest J. Barba et al. 10.1111/gcb.15783
- The relative importance of methane sources and sinks over the Last Interglacial period and into the last glaciation A. Quiquet et al. 10.1016/j.quascirev.2015.01.004
- The global methane budget 2000–2012 M. Saunois et al. 10.5194/essd-8-697-2016
- Highly Dynamic Methane Emission from the West Siberian Boreal Floodplains I. Terentieva et al. 10.1007/s13157-018-1088-4
- Active methane processing microbes and the disproportionate role of NC10 phylum in methane mitigation in Amazonian floodplains M. Bento et al. 10.1007/s10533-021-00846-z
1 citations as recorded by crossref.
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