63 citations as recorded by crossref.

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3. Numerical Assessments of Excess Ice Impacts on Permafrost and Greenhouse Gases in a Siberian Tundra Site Under a Warming Climate H. Park et al. https://doi.org/10.3389/feart.2021.704447
4. Technical note: Greenhouse gas flux studies: an automated online system for gas emission measurements in aquatic environments N. Thanh Duc et al. https://doi.org/10.5194/hess-24-3417-2020
5. Greenhouse Gas Mitigation Potential of Alternate Wetting and Drying for Rice Production at National Scale—A Modeling Case Study for the Philippines D. Kraus et al. https://doi.org/10.1029/2022JG006848
6. A New Process‐Based Soil Methane Scheme: Evaluation Over Arctic Field Sites With the ISBA Land Surface Model X. Morel et al. https://doi.org/10.1029/2018MS001329
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10. Assessing methane emissions for northern peatlands in ORCHIDEE-PEAT revision 7020 E. Salmon et al. https://doi.org/10.5194/gmd-15-2813-2022
11. Reviews and syntheses: Four decades of modeling methane cycling in terrestrial ecosystems X. Xu et al. https://doi.org/10.5194/bg-13-3735-2016
12. Mapping watershed wetness dynamics and prioritizing potential agricultural land for wetland conservation programs in Nebraska J. Jahangeer et al. https://doi.org/10.1111/csp2.70151
13. Modeling the large-scale effects of surface moisture heterogeneity on wetland carbon fluxes in the West Siberian Lowland T. Bohn et al. https://doi.org/10.5194/bg-10-6559-2013
14. Spatiotemporal Assessment of GHG Emissions and Nutrient Sequestration Linked to Agronutrient Runoff in Global Wetlands C. Pasut et al. https://doi.org/10.1029/2020GB006816
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20. Importance of vegetation classes in modeling CH4 emissions from boreal and subarctic wetlands in Finland T. Li et al. https://doi.org/10.1016/j.scitotenv.2016.08.020
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22. A Method for Estimating Annual Cumulative Soil/Ecosystem Respiration and CH4 Flux from Sporadic Data Collected Using the Chamber Method M. Yang et al. https://doi.org/10.3390/atmos10100623
23. Focus on the impact of climate change on wetland ecosystems and carbon dynamics L. Meng et al. https://doi.org/10.1088/1748-9326/11/10/100201
24. Space‐Based Observations for Understanding Changes in the Arctic‐Boreal Zone B. Duncan et al. https://doi.org/10.1029/2019RG000652
25. Microbial and Reactive Transport Modeling Evidence for Hyporheic Flux‐Driven Cryptic Sulfur Cycling and Anaerobic Methane Oxidation in a Sulfate‐Impacted Wetland‐Stream System G. Ng et al. https://doi.org/10.1029/2019JG005185
26. Modelling methane emissions from natural wetlands by development and application of the TRIPLEX-GHG model Q. Zhu et al. https://doi.org/10.5194/gmd-7-981-2014
27. A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO2 and CH4 fluxes J. Watts et al. https://doi.org/10.5194/bg-11-1961-2014
28. Seasonal and interannual variability in wetland methane emissions simulated by CLM4Me' and CAM-chem and comparisons to observations of concentrations L. Meng et al. https://doi.org/10.5194/bg-12-4029-2015
29. CH4 parameter estimation in CLM4.5bgc using surrogate global optimization J. Müller et al. https://doi.org/10.5194/gmd-8-3285-2015
30. Biogeochemical modeling of CO2 and CH4 production in anoxic Arctic soil microcosms G. Tang et al. https://doi.org/10.5194/bg-13-5021-2016
31. Monitoring and Analyzing the Seasonal Wetland Inundation Dynamics in the Everglades from 2002 to 2021 Using Google Earth Engine I. Hasan et al. https://doi.org/10.3390/geographies3010010
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33. Air temperature and precipitation constraining the modelled wetland methane emissions in a boreal region in northern Europe T. Aalto et al. https://doi.org/10.5194/bg-22-323-2025
34. Scale-dependent temporal variation in determining the methane balance of a temperate fen A. Günther et al. https://doi.org/10.1080/20430779.2013.850395
35. Variability in methane emissions from West Siberia's shallow boreal lakes on a regional scale and its environmental controls A. Sabrekov et al. https://doi.org/10.5194/bg-14-3715-2017
36. The polar regions in a 2°C warmer world E. Post et al. https://doi.org/10.1126/sciadv.aaw9883
37. Modeling anaerobic soil organic carbon decomposition in Arctic polygon tundra: insights into soil geochemical influences on carbon mineralization J. Zheng et al. https://doi.org/10.5194/bg-16-663-2019
38. Review of APSIM's soil nitrogen modelling capability for agricultural systems analyses K. Verburg et al. https://doi.org/10.1016/j.agsy.2024.104213
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40. Mitigating methane emissions in rice (Oryza sativa) farming systems: a breeding and management roadmap for low-emission genotypes in Sub-Saharan Africa L. Lyimo https://doi.org/10.1007/s44279-026-00486-7
41. Modelling Holocene carbon accumulation and methane emissions of boreal wetlands – an Earth system model approach R. Schuldt et al. https://doi.org/10.5194/bg-10-1659-2013
42. Comparative Review of Global Methane Budget Estimation: Top-Down, Bottom-Up, and Integrated Approaches B. Alem et al. https://doi.org/10.3390/rs18091336
43. Uncertainty Quantification of Global Net Methane Emissions From Terrestrial Ecosystems Using a Mechanistically Based Biogeochemistry Model L. Liu et al. https://doi.org/10.1029/2019JG005428
44. Net exchanges of methane and carbon dioxide on the Qinghai-Tibetan Plateau from 1979 to 2100 Z. Jin et al. https://doi.org/10.1088/1748-9326/10/8/085007
45. A multi-scale comparison of modeled and observed seasonal methane emissions in northern wetlands X. Xu et al. https://doi.org/10.5194/bg-13-5043-2016
46. Different responses of nitrogen fertilization on methane emission in rice plant included and excluded soils during cropping season G. Kim et al. https://doi.org/10.1016/j.agee.2016.06.005
47. Opaque closed chambers underestimate methane fluxes of Phragmites australis (Cav.) Trin. ex Steud A. Günther et al. https://doi.org/10.1007/s10661-013-3524-5
48. Review and Synthesis: Peatland and Wetland Models Simulating CH4 Production, Oxidation and Transport Pathways A. Tilak et al. https://doi.org/10.1007/s13157-026-02089-w
49. Trends in atmospheric methane concentrations since 1990 were driven and modified by anthropogenic emissions R. Skeie et al. https://doi.org/10.1038/s43247-023-00969-1
50. Automated Quantification of Surface Water Inundation in Wetlands Using Optical Satellite Imagery B. DeVries et al. https://doi.org/10.3390/rs9080807
51. Challenges Regionalizing Methane Emissions Using Aquatic Environments in the Amazon Basin as Examples J. Melack et al. https://doi.org/10.3389/fenvs.2022.866082
52. Rice straw incorporation in winter with fertilizer-N application improves soil fertility and reduces global warming potential from a double rice paddy field B. Zhang et al. https://doi.org/10.1007/s00374-013-0805-7
53. Estimating global natural wetland methane emissions using process modelling: spatio‐temporal patterns and contributions to atmospheric methane fluctuations Q. Zhu et al. https://doi.org/10.1111/geb.12307
54. Modeling spatiotemporal dynamics of global wetlands: comprehensive evaluation of a new sub-grid TOPMODEL parameterization and uncertainties Z. Zhang et al. https://doi.org/10.5194/bg-13-1387-2016
55. Effect of climate change on humic substances and associated impacts on the quality of surface water and groundwater: A review E. Lipczynska-Kochany https://doi.org/10.1016/j.scitotenv.2018.05.376
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57. Floating Aquatic Macrophytes Decrease the Methane Concentration in the Water Column of a Tropical Coastal Lagoon: Implications for Methane Oxidation and Emission A. Fonseca et al. https://doi.org/10.1590/1678-4324-2017160381
58. Dynamic methane emissions in a restored wetland: Decadal insights into uncertain climate outcomes and critical science needs K. Delwiche et al. https://doi.org/10.1016/j.agrformet.2025.110735
59. Importance of rice root oxidation potential as a regulator of CH4 production under waterlogged conditions J. Gutierrez et al. https://doi.org/10.1007/s00374-014-0904-0
60. Spectral evidence for substrate availability rather than environmental control of methane emissions from a coastal forested wetland B. Mitra et al. https://doi.org/10.1016/j.agrformet.2020.108062
61. Evaluation of CH4MODwetland and Terrestrial Ecosystem Model (TEM) used to estimate global CH4 emissions from natural wetlands T. Li et al. https://doi.org/10.5194/gmd-13-3769-2020
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63. Global methane and nitrous oxide emissions from terrestrial ecosystems due to multiple environmental changes H. Tian et al. https://doi.org/10.1890/EHS14-0015.1