75 citations as recorded by crossref.

1. Hydrologic Lag Effects on Wetland Greenhouse Gas Fluxes B. Tangen & S. Bansal 10.3390/atmos10050269
2. UAV Remote Sensing Can Reveal the Effects of Low‐Impact Seismic Lines on Surface Morphology, Hydrology, and Methane (CH4) Release in a Boreal Treed Bog J. Lovitt et al. 10.1002/2017JG004232
3. An assessment of natural methane fluxes simulated by the CLASS-CTEM model V. Arora et al. 10.5194/bg-15-4683-2018
4. Quantification and uncertainty of global upland soil methane sinks: Processes, controls, model limitations, and improvements H. Song et al. 10.1016/j.earscirev.2024.104758
5. Detectability of Arctic methane sources at six sites performing continuous atmospheric measurements T. Thonat et al. 10.5194/acp-17-8371-2017
6. Spatial and temporal variations of N2O emissions from global forest and grassland ecosystems K. Zhang et al. 10.1016/j.agrformet.2018.12.011
7. The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2017 A. Petrescu et al. 10.5194/essd-13-2307-2021
8. Uncertainty Quantification of Global Net Methane Emissions From Terrestrial Ecosystems Using a Mechanistically Based Biogeochemistry Model L. Liu et al. 10.1029/2019JG005428
9. Net exchanges of methane and carbon dioxide on the Qinghai-Tibetan Plateau from 1979 to 2100 Z. Jin et al. 10.1088/1748-9326/10/8/085007
10. Asymmetric responses of primary productivity to altered precipitation simulated by ecosystem models across three long-term grassland sites D. Wu et al. 10.5194/bg-15-3421-2018
11. Monthly gridded data product of northern wetland methane emissions based on upscaling eddy covariance observations O. Peltola et al. 10.5194/essd-11-1263-2019
12. Calibrating the sqHIMMELI v1.0 wetland methane emission model with hierarchical modeling and adaptive MCMC J. Susiluoto et al. 10.5194/gmd-11-1199-2018
13. Importance of vegetation classes in modeling CH4 emissions from boreal and subarctic wetlands in Finland T. Li et al. 10.1016/j.scitotenv.2016.08.020
14. Challenges Regionalizing Methane Emissions Using Aquatic Environments in the Amazon Basin as Examples J. Melack et al. 10.3389/fenvs.2022.866082
15. Observational constraints reduce model spread but not uncertainty in global wetland methane emission estimates K. Chang et al. 10.1111/gcb.16755
16. Effect of varying soil water potentials on methanogenesis in aerated marshland soils D. Wagner 10.1038/s41598-017-14980-y
17. Global vegetation biomass production efficiency constrained by models and observations Y. He et al. 10.1111/gcb.14816
18. Process-based modelling of the methane balance in periglacial landscapes (JSBACH-methane) S. Kaiser et al. 10.5194/gmd-10-333-2017
19. Sustained‐Flux Global Warming Potential Driven by Nitrogen Inflow and Hydroperiod in a Model of Great Lakes Coastal Wetlands Y. Yuan et al. 10.1029/2021JG006242
20. Interannual variation in methane emissions from tropical wetlands triggered by repeated El Niño Southern Oscillation Q. Zhu et al. 10.1111/gcb.13726
21. Assessing methane emissions for northern peatlands in ORCHIDEE-PEAT revision 7020 E. Salmon et al. 10.5194/gmd-15-2813-2022
22. Modeling Global Soil Carbon and Soil Microbial Carbon by Integrating Microbial Processes into the Ecosystem Process Model TRIPLEX‐GHG K. Wang et al. 10.1002/2017MS000920
23. Evaluation of CH4MOD<sub>wetland</sub> and Terrestrial Ecosystem Model (TEM) used to estimate global CH<sub>4</sub> emissions from natural wetlands T. Li et al. 10.5194/gmd-13-3769-2020
24. Hiatus of wetland methane emissions associated with recent La Niña episodes in the Asian monsoon region X. Zhang et al. 10.1007/s00382-020-05219-0
25. Estimating global natural wetland methane emissions using process modelling: spatio‐temporal patterns and contributions to atmospheric methane fluctuations Q. Zhu et al. 10.1111/geb.12307
26. Spatial methane emission modelling from wetlands using geospatial tools S. Bansal et al. 10.1080/01431161.2018.1513182
27. Decadal trends in the seasonal-cycle amplitude of terrestrial CO₂ exchange resulting from the ensemble of terrestrial biosphere models A. Ito et al. 10.3402/tellusb.v68.28968
28. Accuracy analysis in CH4MODwetland in the simulation of CH4 emissions from Chinese wetlands Q. ZHANG et al. 10.1016/j.accre.2020.06.003
29. Estimating natural nitrous oxide emissions from the Qinghai–Tibetan Plateau using a process-based model: Historical spatiotemporal patterns and future trends K. Zhang et al. 10.1016/j.ecolmodel.2022.109902
30. Variability and quasi-decadal changes in the methane budget over the period 2000–2012 M. Saunois et al. 10.5194/acp-17-11135-2017
31. High carbon losses from oxygen‐limited soils challenge biogeochemical theory and model assumptions W. Huang et al. 10.1111/gcb.15867
32. The Global N2O Model Intercomparison Project H. Tian et al. 10.1175/BAMS-D-17-0212.1
33. Central Role of Nitrogen Fertilizer Relative to Water Management in Determining Direct Nitrous Oxide Emissions From Global Rice‐Based Ecosystems H. Song et al. 10.1029/2023GB007744
34. Aquatic carbon cycling in the conterminous United States and implications for terrestrial carbon accounting D. Butman et al. 10.1073/pnas.1512651112
35. Climate-driven increase of natural wetland methane emissions offset by human-induced wetland reduction in China over the past three decades Q. Zhu et al. 10.1038/srep38020
36. Satellite data based estimation of methane emissions from rice paddies in the Sanjiang Plain in northeast China M. Sun et al. 10.1371/journal.pone.0176765
37. Interannual Variability of Global Wetlands in Response to El Niño Southern Oscillations (ENSO) and Land-Use S. Ilyas et al. 10.3389/feart.2019.00289
38. Evaluating Cumulative Drought Effect on Global Vegetation Photosynthesis Using Numerous GPP Products C. Wu & T. Wang 10.3389/fenvs.2022.908875
39. The Kulbäcksliden Research Infrastructure: a unique setting for northern peatland studies K. Noumonvi et al. 10.3389/feart.2023.1194749
40. MATHEMATICAL MODELS OF METHANE CONSUMPTION BY SOILS: A REVIEW M. Glagolev et al. 10.18822/edgcc622937
41. The Global Methane Budget 2000–2017 M. Saunois et al. 10.5194/essd-12-1561-2020
42. A New Process‐Based Soil Methane Scheme: Evaluation Over Arctic Field Sites With the ISBA Land Surface Model X. Morel et al. 10.1029/2018MS001329
43. Plant‐mediated methane transport in emergent and floating‐leaved species of a temperate freshwater mineral‐soil wetland J. Villa et al. 10.1002/lno.11467
44. Data‐Constrained Projections of Methane Fluxes in a Northern Minnesota Peatland in Response to Elevated CO2 and Warming S. Ma et al. 10.1002/2017JG003932
45. Process‐based TRIPLEX‐GHG model for simulating N2O emissions from global forests and grasslands: Model development and evaluation K. Zhang et al. 10.1002/2017MS000934
46. Year-round simulated methane emissions from a permafrost ecosystem in Northeast Siberia K. Castro-Morales et al. 10.5194/bg-15-2691-2018
47. A Remote Sensing Technique to Upscale Methane Emission Flux in a Subtropical Peatland C. Zhang et al. 10.1029/2020JG006002
48. Temporal and Spatial Variation of Wetland CH4 Emissions from the Qinghai–Tibet Plateau under Future Climate Change Scenarios X. Zhang et al. 10.3390/atmos13060854
49. Contribution of Incorporating the Phosphorus Cycle into TRIPLEX-CNP to Improve the Quantification of Land Carbon Cycle J. Ding et al. 10.3390/land11060778
50. An integrated approach to modeling changes in land use, land cover, and disturbance and their impact on ecosystem carbon dynamics: a case study in the Sierra Nevada Mountains of California B. M. Sleeter et al. 10.3934/environsci.2015.3.577
51. The ecology of methane in streams and rivers: patterns, controls, and global significance E. Stanley et al. 10.1890/15-1027
52. The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019 A. Petrescu et al. 10.5194/essd-15-1197-2023
53. Terrestrial Ecosystem Modeling with IBIS: Progress and Future Vision L. Jinxun et al. 10.5814/j.issn.1674-764x.2022.01.001
54. The global methane budget 2000–2012 M. Saunois et al. 10.5194/essd-8-697-2016
55. Attribution of changes in global wetland methane emissions from pre-industrial to present using CLM4.5-BGC R. Paudel et al. 10.1088/1748-9326/11/3/034020
56. Identifying the main drivers of the spatiotemporal variations in wetland methane emissions during 2001–2020 Y. Hu et al. 10.3389/fenvs.2023.1275742
57. Variability in methane emissions from West Siberia's shallow boreal lakes on a regional scale and its environmental controls A. Sabrekov et al. 10.5194/bg-14-3715-2017
58. Evaluating alternative ebullition models for predicting peatland methane emission and its pathways via data–model fusion S. Ma et al. 10.5194/bg-19-2245-2022
59. Cold‐Season Methane Fluxes Simulated by GCP‐CH4 Models A. Ito et al. 10.1029/2023GL103037
60. Performance of CH4MODwetland for the case study of different regions of natural Chinese wetland T. Li et al. 10.1016/j.jes.2017.01.001
61. An early warning signal for grassland degradation on the Qinghai-Tibetan Plateau Q. Zhu et al. 10.1038/s41467-023-42099-4
62. Field-scale simulation of methane emissions from coastal wetlands in China using an improved version of CH4MOD wetland T. Li et al. 10.1016/j.scitotenv.2016.03.186
63. Modelling water and energy fluxes with an explicit representation of irrigation under mulch in a maize field C. Wang et al. 10.1016/j.agrformet.2022.109145
64. Integrating major agricultural practices into the TRIPLEX-GHG model v2.0 for simulating global cropland nitrous oxide emissions: Development, sensitivity analysis and site evaluation H. Song et al. 10.1016/j.scitotenv.2022.156945
65. HIMMELI v1.0: HelsinkI Model of MEthane buiLd-up and emIssion for peatlands M. Raivonen et al. 10.5194/gmd-10-4665-2017
66. Uncertainty analysis of multiple global GPP datasets in characterizing the lagged effect of drought on photosynthesis X. Xie et al. 10.1016/j.ecolind.2020.106224
67. Parameter interactions and sensitivity analysis for modelling carbon heat and water fluxes in a natural peatland, using CoupModel v5 C. Metzger et al. 10.5194/gmd-9-4313-2016
68. Changes in soil organic carbon and microbial carbon storage projected during the 21st century using TRIPLEX-MICROBE K. Wang et al. 10.1016/j.ecolind.2018.10.045
69. Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity: A Traceability Analysis in the East Asian Monsoon Region E. Cui et al. 10.1029/2018GB005909
70. Opposing seasonal temperature dependencies of CO2 and CH4 emissions from wetlands J. Li et al. 10.1111/gcb.16528
71. Multiscale assessment of North American terrestrial carbon balance K. Foster et al. 10.5194/bg-21-869-2024
72. Multi-model ensemble successfully predicted atmospheric methane consumption in soils across the complex landscape M. Glagolev et al. 10.18822/edgcc625761
73. Soil methane uptake by grasslands and forests in China Y. Wang et al. 10.1016/j.soilbio.2014.02.023
74. Quantification of methane emissions from municipal solid waste landfills in China during the past decade M. Du et al. 10.1016/j.rser.2017.04.082
75. CH<sub>4</sub> parameter estimation in CLM4.5bgc using surrogate global optimization J. Müller et al. 10.5194/gmd-8-3285-2015