45 citations as recorded by crossref.

1. Landscape-level terrestrial methane flux observed from a very tall tower A. Desai et al. https://doi.org/10.1016/j.agrformet.2014.10.017
2. Environmental and biological controls on CH 4 exchange over an evergreen Mediterranean forest F. Savi et al. https://doi.org/10.1016/j.agrformet.2016.05.014
3. Interactive effects of temperature and UVB radiation on methane emissions from different organs of pea plants grown in hydroponic system A. Abdulmajeed et al. https://doi.org/10.1016/j.jphotobiol.2016.11.019
4. Methane dynamics from a mixed plantation of north China: Observation using closed-path eddy covariance method W. Yuan et al. https://doi.org/10.3389/fpls.2022.1040303
5. The role of vegetation in methane flux to the atmosphere: should vegetation be included as a distinct category in the global methane budget? M. Carmichael et al. https://doi.org/10.1007/s10533-014-9974-1
6. Biogenic volatile organic compound emissions during BEARPEX 2009 measured by eddy covariance and flux–gradient similarity methods J. Park et al. https://doi.org/10.5194/acp-14-231-2014
7. Evaluating the performance of commonly used gas analysers for methane eddy covariance flux measurements: the InGOS inter-comparison field experiment O. Peltola et al. https://doi.org/10.5194/bg-11-3163-2014
8. Measurement of methane flux over an evergreen coniferous forest canopy using a relaxed eddy accumulation system with tuneable diode laser spectroscopy detection A. Sakabe et al. https://doi.org/10.1007/s00704-011-0564-z
9. High-precision measurements of the methane flux over a larch forest based on a hyperbolic relaxed eddy accumulation method using a laser spectrometer M. Ueyama et al. https://doi.org/10.1016/j.agrformet.2013.04.029
10. Aboveground living plant-based methane production does not dominate methane emissions in terrestrial ecosystems Z. Wang et al. https://doi.org/10.1007/s00425-025-04838-3
11. Cross-Validation of Open-Path and Closed-Path Eddy-Covariance Techniques for Observing Methane Fluxes H. Iwata et al. https://doi.org/10.1007/s10546-013-9890-2
12. Comparing laser-based open- and closed-path gas analyzers to measure methane fluxes using the eddy covariance method M. Detto et al. https://doi.org/10.1016/j.agrformet.2011.05.014
13. Current systematic carbon-cycle observations and the need for implementing a policy-relevant carbon observing system P. Ciais et al. https://doi.org/10.5194/bg-11-3547-2014
14. Impacts of Clear-Cutting of a Boreal Forest on Carbon Dioxide, Methane and Nitrous Oxide Fluxes P. Vestin et al. https://doi.org/10.3390/f11090961
15. Dynamics of ammonia volatilisation measured by eddy covariance during slurry spreading in north Italy R. Ferrara et al. https://doi.org/10.1016/j.agee.2015.12.002
16. Advances in the Eddy Covariance Approach to CH4 Monitoring Over Two and a Half Decades T. Morin https://doi.org/10.1029/2018JG004796
17. Below- and above-canopy methane and nitrous oxide fluxes in a subalpine spruce forest L. Krebs et al. https://doi.org/10.1016/j.agrformet.2026.111261
18. An integrative hierarchical monitoring approach applied at a natural analogue site to monitor CO2 degassing areas U. Sauer et al. https://doi.org/10.1007/s11440-013-0224-9
19. Leaf surface wax is a source of plant methane formation under UV radiation and in the presence of oxygen D. Bruhn et al. https://doi.org/10.1111/plb.12137
20. A literature overview of micrometeorological CH4 and N2O flux measurements in terrestrial ecosystems G. Nicolini et al. https://doi.org/10.1016/j.atmosenv.2013.09.030
21. A review of the mechanisms and controlling factors of methane dynamics in forest ecosystems H. Feng et al. https://doi.org/10.1016/j.foreco.2019.117702
22. Forests under climate change and air pollution: Gaps in understanding and future directions for research R. Matyssek et al. https://doi.org/10.1016/j.envpol.2011.07.007
23. The high-frequency response correction of eddy covariance fluxes – Part 2: An experimental approach for analysing noisy measurements of small fluxes T. Aslan et al. https://doi.org/10.5194/amt-14-5089-2021
24. Variations and drivers of methane fluxes from a rice-wheat rotation agroecosystem in eastern China at seasonal and diurnal scales S. Dai et al. https://doi.org/10.1016/j.scitotenv.2019.07.012
25. Tree Foliage is a Methane Sink in Upland Temperate Forests A. Gorgolewski et al. https://doi.org/10.1007/s10021-022-00751-y
26. A novel pathway of direct methane production and emission by eukaryotes including plants, animals and fungi: An overview J. Liu et al. https://doi.org/10.1016/j.atmosenv.2015.05.019
27. Particle deposition in a peri-urban Mediterranean forest S. Fares et al. https://doi.org/10.1016/j.envpol.2016.08.086
28. Automated closed-chamber measurements of methane fluxes from intact leaves and trunk of Japanese cypress K. Takahashi et al. https://doi.org/10.1016/j.atmosenv.2012.01.033
29. Measuring methane flux from irrigated rice fields by eddy covariance method using open-path gas analyzer M. Alberto et al. https://doi.org/10.1016/j.fcr.2014.02.008
30. 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. https://doi.org/10.1016/j.atmosenv.2018.04.025
31. Methane flux, vertical gradient and mixing ratio measurements in a tropical forest C. Querino et al. https://doi.org/10.5194/acp-11-7943-2011
32. The influence of plants on atmospheric methane in an agriculture-dominated landscape X. Zhang et al. https://doi.org/10.1007/s00484-013-0662-y
33. Methane exchange in a boreal forest estimated by gradient method E. Sundqvist et al. https://doi.org/10.3402/tellusb.v67.26688
34. Forest ecosystem changes from annual methane source to sink depending on late summer water balance J. Shoemaker et al. https://doi.org/10.1002/2013GL058691
35. Urban – Wetland contrast in turbulent exchange of methane W. Pawlak et al. https://doi.org/10.1016/j.atmosenv.2016.09.036
36. Methane fluxes measured by eddy covariance and static chamber techniques at a temperate forest in central Ontario, Canada J. Wang et al. https://doi.org/10.5194/bg-10-4371-2013
37. Inferring methane fluxes at a larch forest using Lagrangian, Eulerian, and hybrid inverse models M. Ueyama et al. https://doi.org/10.1002/2014JG002716
38. An Integrative Hierarchical Monitoring Approach for Detecting and Characterizing CO2 Releases U. Sauer et al. https://doi.org/10.1016/j.egypro.2013.06.328
39. Eddy covariance measurements of the net turbulent methane flux in the city centre – results of 2-year campaign in Łódź, Poland W. Pawlak & K. Fortuniak https://doi.org/10.5194/acp-16-8281-2016
40. Simultaneous measurements of above and below canopy ozone fluxes help partitioning ozone deposition between its various sinks in a Mediterranean Oak Forest S. Fares et al. https://doi.org/10.1016/j.agrformet.2014.08.014
41. Field intercomparison of two optical analyzers for CH4 eddy covariance flux measurements B. Tuzson et al. https://doi.org/10.5194/amt-3-1519-2010
42. Observations of reactive nitrogen oxide fluxes by eddy covariance above two midlatitude North American mixed hardwood forests J. Geddes & J. Murphy https://doi.org/10.5194/acp-14-2939-2014
43. Vertical profiles of methane concentration above and within the canopy of a temperate Japanese cypress forest K. Takahashi et al. https://doi.org/10.1016/j.aeaoa.2021.100143
44. Terrestrial plant methane production and emission D. Bruhn et al. https://doi.org/10.1111/j.1399-3054.2011.01551.x
45. Controls for multi-scale temporal variation in ecosystem methane exchange during the growing season of a permanently inundated fen F. Koebsch et al. https://doi.org/10.1016/j.agrformet.2015.02.002