97 citations as recorded by crossref.

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3. A Closer Look at the Effects of Lake Area, Aquatic Vegetation, and Double‐Counted Wetlands on Pan‐Arctic Lake Methane Emissions Estimates E. Kyzivat & L. Smith https://doi.org/10.1029/2023GL104825
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7. Boreal–Arctic wetland methane emissions modulated by warming and vegetation activity K. Yuan et al. https://doi.org/10.1038/s41558-024-01933-3
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9. Description and Evaluation of an Emission‐Driven and Fully Coupled Methane Cycle in UKESM1 G. Folberth et al. https://doi.org/10.1029/2021MS002982
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11. Bottom‐Up Evaluation of the Methane Budget in Asia and Its Subregions A. Ito et al. https://doi.org/10.1029/2023GB007723
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13. Conservation and Restoration Can Offset over Half of the Carbon Emissions from Wetland Conversion in China Y. Ren et al. https://doi.org/10.1021/acs.est.5c17132
14. Assessing Methane Emissions From Tropical Wetlands: Uncertainties From Natural Variability and Drivers at the Global Scale F. Murguia‐Flores et al. https://doi.org/10.1029/2022GB007601
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17. 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
18. Large increases in methane emissions expected from North America’s largest wetland complex S. Bansal et al. https://doi.org/10.1126/sciadv.ade1112
19. Partitioning anthropogenic and natural methane emissions in Finland during 2000–2021 by combining bottom-up and top-down estimates M. Tenkanen et al. https://doi.org/10.5194/acp-25-2181-2025
20. Bursa, Karacabey subasar ormanı kızılağaç (Alnus glutinosa L.) meşcerelerinin ölü örtü ve topraklarının organik karbon ve besin stokları T. Sarıyıldız & M. Tanı https://doi.org/10.53516/ajfr.1453879
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22. Critical needs to close monitoring gaps in pan-tropical wetland CH4 emissions Q. Zhu et al. https://doi.org/10.1088/1748-9326/ad8019
23. Microbial methane emissions from the non-methanogenesis processes: A critical review L. Liu et al. https://doi.org/10.1016/j.scitotenv.2021.151362
24. Global importance of nitrogen fixation across inland and coastal waters R. Fulweiler et al. https://doi.org/10.1126/science.adt1511
25. Practical Guide to Measuring Wetland Carbon Pools and Fluxes S. Bansal et al. https://doi.org/10.1007/s13157-023-01722-2
26. Assessing modelled methane emissions over northern wetlands by the JULES-HIMMELI model Y. Gao et al. https://doi.org/10.1016/j.scitotenv.2025.179526
27. Disentangling methane and carbon dioxide sources and transport across the Russian Arctic from aircraft measurements C. Narbaud et al. https://doi.org/10.5194/acp-23-2293-2023
28. Process formulations and controlling factors of pesticide dissipation in artificial ponds: A critical review A. Bahi et al. https://doi.org/10.1016/j.ecoleng.2022.106820
29. Development and evaluation of the interactive Model for Air Pollution and Land Ecosystems (iMAPLE) version 1.0 X. Yue et al. https://doi.org/10.5194/gmd-17-4621-2024
30. Daytime temperature contributes more than nighttime temperature to the weakened relationship between climate warming and vegetation growth in the extratropical Northern Hemisphere Z. Zheng et al. https://doi.org/10.1016/j.ecolind.2021.108203
31. Differences in Anthropogenic Impacts of Typical Mid- to High-Latitude Wetlands in the Heilongjiang Basin J. Liu et al. https://doi.org/10.3390/su16209020
32. Two decades of improved wetland carbon sequestration in northern mid-to-high latitudes are offset by tropical and southern declines J. Li et al. https://doi.org/10.1038/s41559-025-02809-1
33. Cloud-Based Remote Sensing for Wetland Monitoring—A Review A. Abdelmajeed et al. https://doi.org/10.3390/rs15061660
34. Mapping Water Levels across a Region of the Cuvette Centrale Peatland Complex S. Georgiou et al. https://doi.org/10.3390/rs15123099
35. Comparative Review of Global Methane Budget Estimation: Top-Down, Bottom-Up, and Integrated Approaches B. Alem et al. https://doi.org/10.3390/rs18091336
36. Areal extent of vegetative cover: A challenge to regional upscaling of methane emissions J. Melack & L. Hess https://doi.org/10.1016/j.aquabot.2022.103592
37. Creation and environmental applications of 15-year daily inundation and vegetation maps for Siberia by integrating satellite and meteorological datasets H. Mizuochi et al. https://doi.org/10.1186/s40645-024-00614-1
38. Current and future methane emissions from boreal-Arctic wetlands and lakes M. Kuhn et al. https://doi.org/10.1038/s41558-025-02413-y
39. Global responses of wetland methane emissions to extreme temperature and precipitation M. Xu et al. https://doi.org/10.1016/j.envres.2024.118907
40. Cross-Boundary Drivers of Water Cover Reduction in the Pantanal Wetland and Implications for its Conservation J. Pompeu https://doi.org/10.1007/s13157-025-01916-w
41. Evaluation of wetland CH4 in the Joint UK Land Environment Simulator (JULES) land surface model using satellite observations R. Parker et al. https://doi.org/10.5194/bg-19-5779-2022
42. Non-flooded riparian Amazon trees are a regionally significant methane source V. Gauci et al. https://doi.org/10.1098/rsta.2020.0446
43. Satellite-based modeling of wetland methane emissions on a global scale (SatWetCH4 1.0) J. Bernard et al. https://doi.org/10.5194/gmd-18-863-2025
44. Global Methane Budget 2000–2020 M. Saunois et al. https://doi.org/10.5194/essd-17-1873-2025
45. A Web-Based National-Scale Coastal Tidal Flat Extraction System Using Multi-Algorithm Integration on AI Earth Platform S. Shen et al. https://doi.org/10.3390/rs17162911
46. Methane and nitrous oxide budget for Chinese natural terrestrial ecosystems T. Li et al. https://doi.org/10.1093/nsr/nwaf094
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48. Mapping Onshore CH4 Seeps in Western Siberian Floodplains Using Convolutional Neural Network I. Terentieva et al. https://doi.org/10.3390/rs14112661
49. Optimized wetland rewetting strategies can control methane, carbon dioxide, and oxygen responses to water table fluctuations B. Zhao et al. https://doi.org/10.1038/s43247-025-03163-7
50. Wetland hydrological dynamics and methane emissions S. Cui et al. https://doi.org/10.1038/s43247-024-01635-w
51. Long-term spatiotemporal assessment of wetland degradation and ecological resilience in Indian Ramsar sites spanning various agroecological zones M. Rawat et al. https://doi.org/10.1016/j.rsase.2026.101979
52. Spatiotemporal impacts of wetland water table depth on vegetation productivity over the past two decades X. Yao et al. https://doi.org/10.1016/j.gloplacha.2026.105514
53. Gridded maps of wetlands dynamics over mid-low latitudes for 1980–2020 based on TOPMODEL Y. Xi et al. https://doi.org/10.1038/s41597-022-01460-w
54. How Implementing the Rights of Wetlands Provides Benefits to People and Wetlands: Relationships, Rights, Responsibilities, Experiences, and Actions G. Davies et al. https://doi.org/10.1007/s13157-026-02067-2
55. Dynamics of nitrous oxide and methane in the southeastern Arabian Sea K. Arya et al. https://doi.org/10.1016/j.marchem.2023.104333
56. Vulnerability of Arctic-Boreal methane emissions to climate change F. Parmentier et al. https://doi.org/10.3389/fenvs.2024.1460155
57. Wetland and Forest Restoration Enhances Multiple Ecosystem Service Recoveries and Resilient Livelihoods in the Tropics B. Barasa et al. https://doi.org/10.3390/su18031685
58. FLUXNET-CH4: a global, multi-ecosystem dataset and analysis of methane seasonality from freshwater wetlands K. Delwiche et al. https://doi.org/10.5194/essd-13-3607-2021
59. Carbon sequestration in soil and biomass under native and non-native mangrove ecosystems Z. Zhang et al. https://doi.org/10.1007/s11104-022-05352-1
60. Tracking transient boreal wetland inundation with Sentinel-1 SAR: Peace-Athabasca Delta, Alberta and Yukon Flats, Alaska C. Huang et al. https://doi.org/10.1080/15481603.2022.2134620
61. Limited evidence that tropical inundation and precipitation powered the 2020–2022 methane surge Y. Xiong et al. https://doi.org/10.1038/s43247-025-02438-3
62. State of the Art in Monitoring Methane Emissions from Arctic–boreal Wetlands and Lakes M. Mahdianpari et al. https://doi.org/10.3390/rs18060926
63. Advancements and opportunities to improve bottom–up estimates of global wetland methane emissions Q. Zhu et al. https://doi.org/10.1088/1748-9326/adad02
64. WetCH4: a machine-learning-based upscaling of methane fluxes of northern wetlands during 2016–2022 Q. Ying et al. https://doi.org/10.5194/essd-17-2507-2025
65. Methane Emissions from Wetlands on the Tibetan Plateau over the Past 40 Years T. Sun et al. https://doi.org/10.3390/w17162491
66. Mapping Surface Water Fraction Over the Pan-Tropical Region Using CYGNSS Data Q. Yan et al. https://doi.org/10.1109/TGRS.2024.3394744
67. On the use of Earth Observation to support estimates of national greenhouse gas emissions and sinks for the Global stocktake process: lessons learned from ESA-CCI RECCAP2 A. Bastos et al. https://doi.org/10.1186/s13021-022-00214-w
68. Recent intensification of wetland methane feedback Z. Zhang et al. https://doi.org/10.1038/s41558-023-01629-0
69. Circumarctic land cover diversity considering wetness gradients A. Bartsch et al. https://doi.org/10.5194/hess-28-2421-2024
70. Ensemble estimates of global wetland methane emissions over 2000–2020 Z. Zhang et al. https://doi.org/10.5194/bg-22-305-2025
71. Potential effects of sea level rise on the soil-atmosphere greenhouse gas emissions in Kandelia obovata mangrove forests J. Chen et al. https://doi.org/10.1007/s13131-022-2087-0
72. Methane Emissions From Land and Aquatic Ecosystems in Western Siberia: An Analysis With Methane Biogeochemistry Models X. Xi et al. https://doi.org/10.1029/2023JG007466
73. Extensive global wetland loss over the past three centuries E. Fluet-Chouinard et al. https://doi.org/10.1038/s41586-022-05572-6
74. Reviews and syntheses: Variable inundation across Earth's terrestrial ecosystems J. Stegen et al. https://doi.org/10.5194/bg-22-995-2025
75. Tracking data reveal high spatiotemporal consistency in migration of the threatened Taiga Bean Goose (Anser fabalis middendorffii) along the East Asian-Australasian flyway J. Zhang et al. https://doi.org/10.1016/j.gecco.2025.e03652
76. Wetland mapping from sparse annotations with satellite image time series and temporal-aware segment anything model S. Yuan et al. https://doi.org/10.1016/j.isprsjprs.2026.05.017
77. Methane emissions from Arctic landscapes during 2000–2015: an analysis with land and lake biogeochemistry models X. Liu & Q. Zhuang https://doi.org/10.5194/bg-20-1181-2023
78. Characterizing Performance of Freshwater Wetland Methane Models Across Time Scales at FLUXNET‐CH4 Sites Using Wavelet Analyses Z. Zhang et al. https://doi.org/10.1029/2022JG007259
79. The GIEMS-MethaneCentric database: a dynamic and comprehensive global product of methane-emitting aquatic areas J. Bernard et al. https://doi.org/10.5194/essd-17-2985-2025
80. Methane fluxes from Arctic & boreal North America: comparisons between process-based estimates and atmospheric observations H. Liu et al. https://doi.org/10.5194/acp-26-1229-2026
81. Comparing the variations and influencing factors of CH4 emissions from paddies and wetlands under CO2 enrichment: A data synthesis in the last three decades H. Yu et al. https://doi.org/10.1016/j.envres.2023.115842
82. Large Methane Emission Fluxes Observed From Tropical Wetlands in Zambia J. Shaw et al. https://doi.org/10.1029/2021GB007261
83. The large role of declining atmospheric sulfate deposition and rising CO 2 concentrations in stimulating future wetland CH 4 emissions L. Shen et al. https://doi.org/10.1126/sciadv.adn1056
84. Mapping the world's inland surface waters: an upgrade to the Global Lakes and Wetlands Database (GLWD v2) B. Lehner et al. https://doi.org/10.5194/essd-17-2277-2025
85. Observational constraints reduce model spread but not uncertainty in global wetland methane emission estimates K. Chang et al. https://doi.org/10.1111/gcb.16755
86. Estimation of methane emissions from inundated areas in northern Eurasia using a process-based model and remotely sensed inundation dynamics data A. Ito et al. https://doi.org/10.1186/s40645-025-00786-4
87. Coarse land cover datasets bias Arctic-Boreal wetland methane budgets J. Hashemi et al. https://doi.org/10.1038/s43247-025-02963-1
88. Cold‐Season Methane Fluxes Simulated by GCP‐CH4 Models A. Ito et al. https://doi.org/10.1029/2023GL103037
89. Estimating wetland CH4 emissions on the Qinghai-Tibetan Plateau based on a processed model coupled with inundation dynamics between 1960 and 2100 J. Zhang et al. https://doi.org/10.1016/j.scitotenv.2024.177169
90. Explainable Machine Learning Insights into Wetland Dynamics and Carbon Storage in the Irtysh River Basin K. Luo et al. https://doi.org/10.1007/s41748-025-00656-5
91. Seasonal Biotic Processes Vary the Carbon Turnover by Up To One Order of Magnitude in Wetlands C. Pasut et al. https://doi.org/10.1029/2022GB007679
92. Protecting wetlands for future generations: A comprehensive approach to the water-climate-society nexus in South Asia S. Rakkasagi & M. Goyal https://doi.org/10.1016/j.eiar.2025.107988
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95. Detection of thermokarst lake drainage events in the northern Alaska permafrost region Y. Chen et al. https://doi.org/10.1016/j.scitotenv.2021.150828
96. Effect of water presence consistency on balance between CH4 emission and CO2 sequestration in floodplain wetland T. Das et al. https://doi.org/10.1007/s11600-024-01452-x
97. Land cover classification for Siberia leveraging diverse global land cover datasets M. Beak et al. https://doi.org/10.1186/s40645-024-00672-5