57 citations as recorded by crossref.

1. Consumption of atmospheric methane by the Qinghai–Tibet Plateau alpine steppe ecosystem H. Yun et al. 10.5194/tc-12-2803-2018
2. Gap‐filling approaches for eddy covariance methane fluxes: A comparison of three machine learning algorithms and a traditional method with principal component analysis Y. Kim et al. 10.1111/gcb.14845
3. Landscape-level terrestrial methane flux observed from a very tall tower A. Desai et al. 10.1016/j.agrformet.2014.10.017
4. Combining eddy-covariance and chamber measurements to determine the methane budget from a small, heterogeneous urban floodplain wetland park T. Morin et al. 10.1016/j.agrformet.2017.01.022
5. Cold season emissions dominate the Arctic tundra methane budget D. Zona et al. 10.1073/pnas.1516017113
6. Gap-filling strategies for annual VOC flux data sets I. Bamberger et al. 10.5194/bg-11-2429-2014
7. Technical Note: A simple calculation algorithm to separate high-resolution CH<sub>4</sub> flux measurements into ebullition and diffusion-derived components M. Hoffmann et al. 10.5194/bgd-12-12923-2015
8. Comparison of two gap-filling techniques for nitrous oxide fluxes from agricultural soil R. Taki et al. 10.1139/cjss-2018-0041
9. Biophysical controls on interannual variability in ecosystem-scale CO2and CH4exchange in a California rice paddy S. Knox et al. 10.1002/2015JG003247
10. Year-round CH<sub>4</sub> and CO<sub>2</sub> flux dynamics in two contrasting freshwater ecosystems of the subarctic M. Jammet et al. 10.5194/bg-14-5189-2017
11. Quantifying the impact of emission outbursts and non-stationary flow on eddy-covariance CH<sub>4</sub> flux measurements using wavelet techniques M. Göckede et al. 10.5194/bg-16-3113-2019
12. Methane flux measurements in rice by static flux chamber and eddy covariance M. Reba et al. 10.1002/agg2.20119
13. Error characterization of methane fluxes and budgets derived from a long-term comparison of open- and closed-path eddy covariance systems M. Deventer et al. 10.1016/j.agrformet.2019.107638
14. Overriding control of methane flux temporal variability by water table dynamics in a Southern Hemisphere, raised bog J. Goodrich et al. 10.1002/2014JG002844
15. Assessing the carbon and climate benefit of restoring degraded agricultural peat soils to managed wetlands K. Hemes et al. 10.1016/j.agrformet.2019.01.017
16. Ethene, propene, butene and isoprene emissions from a ponderosa pine forest measured by relaxed eddy accumulation R. Rhew et al. 10.5194/acp-17-13417-2017
17. Variations and drivers of methane fluxes from a rice-wheat rotation agroecosystem in eastern China at seasonal and diurnal scales S. Dai et al. 10.1016/j.scitotenv.2019.07.012
18. Greenhouse gas fluxes over managed grasslands in Central Europe L. Hörtnagl et al. 10.1111/gcb.14079
19. Environmental drivers of methane fluxes from an urban temperate wetland park T. Morin et al. 10.1002/2014JG002750
20. A cool-temperate young larch plantation as a net methane source - A 4-year continuous hyperbolic relaxed eddy accumulation and chamber measurements M. Ueyama et al. 10.1016/j.atmosenv.2018.04.025
21. Assessing diel variation of CH4 flux from rice paddies through temperature patterns C. Centeno et al. 10.1016/j.atmosenv.2017.08.007
22. Carbon fluxes of an alpine peatland in Northern Italy J. Pullens et al. 10.1016/j.agrformet.2016.01.012
23. Impact of different eddy covariance sensors, site set-up, and maintenance on the annual balance of CO2 and CH4 in the harsh Arctic environment J. Goodrich et al. 10.1016/j.agrformet.2016.07.008
24. Estimating regional effects of climate change and altered land use on biosphere carbon fluxes using distributed time delay neural networks with Bayesian regularized learning A. Schmidt et al. 10.1016/j.neunet.2018.08.004
25. Impacts of Clear-Cutting of a Boreal Forest on Carbon Dioxide, Methane and Nitrous Oxide Fluxes P. Vestin et al. 10.3390/f11090961
26. Revisiting the partitioning of net ecosystem exchange of CO2 into photosynthesis and respiration with simultaneous flux measurements of 13CO2 and CO2, soil respiration and a biophysical model, CANVEG P. Oikawa et al. 10.1016/j.agrformet.2016.12.016
27. Investigation of the climatological impacts of agricultural management and abandonment on a boreal bog in western Newfoundland, Canada M. Wang et al. 10.1016/j.scitotenv.2019.134632
28. How do land use practices affect methane emissions from tropical peat ecosystems? G. Wong et al. 10.1016/j.agrformet.2019.107869
29. Large methane emissions from a subarctic lake during spring thaw: Mechanisms and landscape significance M. Jammet et al. 10.1002/2015JG003137
30. Development of a tailored combination of machine learning approaches to model volumetric soil water content within a mesic forest in the Pacific Northwest A. Schmidt et al. 10.1016/j.jhydrol.2020.125044
31. Quantification of the response of global terrestrial net primary production to multifactor global change P. Li et al. 10.1016/j.ecolind.2017.01.021
32. Comprehensive Evaluation of Machine Learning Techniques for Estimating the Responses of Carbon Fluxes to Climatic Forces in Different Terrestrial Ecosystems X. Dou & Y. Yang 10.3390/atmos9030083
33. Near-zero methane emission from an abandoned boreal peatland pasture based on eddy covariance measurements M. Wang et al. 10.1371/journal.pone.0189692
34. Six years of ecosystem-atmosphere greenhouse gas fluxes measured in a sub-boreal forest A. Richardson et al. 10.1038/s41597-019-0119-1
35. Evaluation of a hierarchy of models reveals importance of substrate limitation for predicting carbon dioxide and methane exchange in restored wetlands P. Oikawa et al. 10.1002/2016JG003438
36. KarsTS: an R package for microclimate time series analysis M. Sáez et al. 10.1007/s12145-019-00393-0
37. Advances in the Eddy Covariance Approach to CH 4 Monitoring Over Two and a Half Decades T. Morin 10.1029/2018JG004796
38. Combination of two methodologies, artificial neural network and linear interpolation, to gap-fill daily nitrous oxide flux measurements L. Bigaignon et al. 10.1016/j.agrformet.2020.108037
39. A Remote Sensing Technique to Upscale Methane Emission Flux in a Subtropical Peatland C. Zhang et al. 10.1029/2020JG006002
40. Gap-Filling of Surface Fluxes Using Machine Learning Algorithms in Various Ecosystems I. Huang & C. Hsieh 10.3390/w12123415
41. The seasonal and diurnal dynamics of methane flux at a created urban wetland T. Morin et al. 10.1016/j.ecoleng.2014.02.002
42. A simple calculation algorithm to separate high-resolution CH<sub>4</sub> flux measurements into ebullition- and diffusion-derived components M. Hoffmann et al. 10.5194/amt-10-109-2017
43. Estimating forest carbon fluxes using four different data-driven techniques based on long-term eddy covariance measurements: Model comparison and evaluation X. Dou & Y. Yang 10.1016/j.scitotenv.2018.01.202
44. Temporal shifts in controls over methane emissions from a boreal bog M. Wang et al. 10.1016/j.agrformet.2018.07.002
45. FLUXNET-CH4 Synthesis Activity: Objectives, Observations, and Future Directions S. Knox et al. 10.1175/BAMS-D-18-0268.1
46. Methane and carbon dioxide fluxes of a temperate mire in Central Europe K. Fortuniak et al. 10.1016/j.agrformet.2016.08.023
47. Southern Hemisphere bog persists as a strong carbon sink during droughts J. Goodrich et al. 10.5194/bg-14-4563-2017
48. Scaling and balancing methane fluxes in a heterogeneous tundra ecosystem of the Lena River Delta N. Rößger et al. 10.1016/j.agrformet.2018.06.026
49. Vegetation influence and environmental controls on greenhouse gas fluxes from a drained thermokarst lake in the western Canadian Arctic J. Skeeter et al. 10.5194/bg-17-4421-2020
50. Global Research Alliance N 2 O chamber methodology guidelines: Guidelines for gap‐filling missing measurements C. Dorich et al. 10.1002/jeq2.20138
51. Methane emissions from an alpine wetland on the Tibetan Plateau: Neglected but vital contribution of the nongrowing season W. Song et al. 10.1002/2015JG003043
52. Methane emissions reduce the radiative cooling effect of a subtropical estuarine mangrove wetland by half J. Liu et al. 10.1111/gcb.15247
53. Improving N2O emission estimates with the global N2O database C. Dorich et al. 10.1016/j.cosust.2020.04.006
54. Deepened snow cover alters biotic and abiotic controls on nitrogen loss during non-growing season in temperate grasslands Z. Jia et al. 10.1007/s00374-020-01514-4
55. Modeling temporal patterns of methane effluxes using multiple regression and random forest in Poyang Lake, China L. Liu et al. 10.1007/s11273-017-9558-7
56. Gap-filling strategies for annual VOC flux data sets I. Bamberger et al. 10.5194/bgd-10-17785-2013
57. Forest ecosystem changes from annual methane source to sink depending on late summer water balance J. Shoemaker et al. 10.1002/2013GL058691