Methanogenesis in oxygenated soils is a substantial fraction of wetland methane emissions

Autor: Jordan C. Angle, Timothy H. Morin, Lindsey M. Solden, Adrienne B. Narrowe, Garrett J. Smith, Mikayla A. Borton, Camilo Rey-Sanchez, Rebecca A. Daly, Golnazalsdat Mirfenderesgi, David W. Hoyt, William J. Riley, Christopher S. Miller, Gil Bohrer, Kelly C. Wrighton

Publikováno v: Nature Communications, Vol 8, Iss 1, Pp 1-9 (2017)

Methane production is traditionally not found in oxygenated soils, a paradigm incorporated in global greenhouse gas modelling efforts. Here the authors show geochemical and biological evidence of active methanogenesis in bulk-oxic wetland soils, attr

Externí odkaz: https://doaj.org/article/c6796034453b4e4780091c65bb5182e8

Detecting Hot Spots of Methane Flux Using Footprint‐Weighted Flux Maps

Autor: Camilo Rey‐Sanchez, Ariane Arias‐Ortiz, Kuno Kasak, Housen Chu, Daphne Szutu, Joseph Verfaillie, Dennis Baldocchi

Publikováno v: Journal of Geophysical Research: Biogeosciences. 127

In this study, we propose a new technique for mapping the spatial heterogeneity in gas exchange around flux towers using flux footprint modeling and focusing on detecting hot spots of methane (CH

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38783e9bf37dac8e0b39065244570b27
https://doi.org/10.1029/2022jg006977

Matching high resolution satellite data and flux tower footprints improves their agreement in photosynthesis estimates

Autor: Juwon Kong, Youngryel Ryu, Jiangong Liu, Benjamin Dechant, Camilo Rey-Sanchez, Robert Shortt, Daphne Szutu, Joe Verfaillie, Rasmus Houborg, Dennis D. Baldocchi

Mapping canopy photosynthesis in both high spatial and temporal resolution is essential for carbon cycle monitoring in heterogeneous areas. However, well established satellites in sun-synchronous orbits such as Sentinel-2, Landsat and MODIS can only

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::629503b90f2c59b01dcf5a9bc3795e70
https://doi.org/10.31223/x5nw55

Gap-filling eddy covariance methane fluxes : Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands

Autor: Sheel Bansal, Lisamarie Windham-Myers, Karina V. R. Schäfer, Christian Wille, Han Dolman, Hiroki Iwata, Mats Nilsson, Robert Shortt, Andrew D. Richardson, Pavel Alekseychik, Sarah Feron, Benjamin Poulter, David P. Billesbach, Kyle B. Delwiche, Walter C. Oechel, Anand Avati, Avni Malhotra, Jiquan Chen, Fred Lu, Ivan Mammarella, Lutz Merbold, Ankur R. Desai, Robert B. Jackson, Pia Gottschalk, Carole Helfter, Bhaskar Mitra, Kathrin Fuchs, Takashi Hirano, Manuel Helbig, Edward A. G. Schuur, M. Goeckede, Domenico Vitale, Zutao Ouyang, Andrew Y. Ng, Mangaliso J. Gondwe, Regine Maier, M. C. R. Alberto, Asko Noormets, Thomas Friborg, Patricia Y. Oikawa, Torsten Sachs, Franziska Koebsch, Eiko Nemitz, Andrej Varlagin, Dario Papale, Keisuke Ono, Jeremy Irvin, Matthias Peichl, Jordan P. Goodrich, Carlo Trotta, Gil Bohrer, Gerardo Celis, David I. Campbell, Camilo Rey-Sanchez, Vincent Liu, Sara H. Knox, Benjamin R. K. Runkle, Sébastien Gogo, Andrew Kondrich, Guan Xhuan Wong, Sharon Zhou, Housen Chu, Kuno Kasak, Lukas Hörtnagl, Timothy H. Morin, Oliver Sonnentag, George L. Vourlitis, Rodrigo Vargas, Derrick Y.F. Lai, Kyle S. Hemes, Ryan C. Sullivan, E. J. Ward, Masahito Ueyama, Annalea Lohila, Gerald Jurasinski, Daphne Szutu, Eeva-Stiina Tuittila, Gavin McNicol, Donatella Zona, Ayaka Sakabe, Cove Sturtevant, Aram Kalhori, Antje Lucas-Moffat, Mika Aurela, Dennis D. Baldocchi, Martin Heimann, Eugénie S. Euskirchen, Adrien Jacotot, Alex C. Valach, Ellen Stuart-Haëntjens, Joeseph G. Verfaillie, Higo J. Dalmagro, Etienne Fluet-Chouinard

Publikováno v: Agricultural and Forest Meteorology, 308-309:108528, 1-22. Elsevier
Agricultural and Forest Meteorology
Irvin, J, Zhou, S, Mcnicol, G, Lu, F, Liu, V, Fluet-chouinard, E, Ouyang, Z, Knox, S H, Lucas-moffat, A, Trotta, C, Papale, D, Vitale, D, Mammarella, I, Alekseychik, P, Aurela, M, Avati, A, Baldocchi, D, Bansal, S, Bohrer, G, Campbell, D I, Chen, J, Chu, H, Dalmagro, H J, Delwiche, K B, Desai, A R, Euskirchen, E, Feron, S, Goeckede, M, Heimann, M, Helbig, M, Helfter, C, Hemes, K S, Hirano, T, Iwata, H, Jurasinski, G, Kalhori, A, Kondrich, A, Lai, D Y, Lohila, A, Malhotra, A, Merbold, L, Mitra, B, Ng, A, Nilsson, M B, Noormets, A, Peichl, M, Rey-sanchez, A C, Richardson, A D, Runkle, B R, Schäfer, K V, Sonnentag, O, Stuart-haëntjens, E, Sturtevant, C, Ueyama, M, Valach, A C, Vargas, R, Vourlitis, G L, Ward, E J, Wong, G X, Zona, D, Alberto, M C R, Billesbach, D P, Celis, G, Dolman, H, Friborg, T, Fuchs, K, Gogo, S, Gondwe, M J, Goodrich, J P, Gottschalk, P, Hörtnagl, L, Jacotot, A, Koebsch, F, Kasak, K, Maier, R, Morin, T H, Nemitz, E, Oechel, W C, Oikawa, P Y, Ono, K, Sachs, T, Sakabe, A, Schuur, E A, Shortt, R, Sullivan, R C, Szutu, D J, Tuittila, E, Varlagin, A, Verfaillie, J G, Wille, C, Windham-myers, L, Poulter, B & Jackson, R B 2021, ' Gap-filling eddy covariance methane fluxes : Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands ', Agricultural and Forest Meteorology, vol. 308-309, 108528 . https://doi.org/10.1016/j.agrformet.2021.108528
Agricultural and Forest Meteorology, 2021, 308-309, pp.108528. ⟨10.1016/j.agrformet.2021.108528⟩
Agricultural and Forest Meteorology, 308:108528. ELSEVIER SCIENCE BV
Irvin, J, Zhou, S, McNicol, G, Lu, F, Liu, V, Fluet-Chouinard, E, Ouyang, Z, Knox, S H, Lucas-Moffat, A, Trotta, C, Papale, D, Vitale, D, Mammarella, I, Alekseychik, P, Aurela, M, Avati, A, Baldocchi, D, Bansal, S, Bohrer, G, Campbell, D I, Chen, J, Chu, H, Dalmagro, H J, Delwiche, K B, Desai, A R, Euskirchen, E, Feron, S, Goeckede, M, Heimann, M, Helbig, M, Helfter, C, Hemes, K S, Hirano, T, Iwata, H, Jurasinski, G, Kalhori, A, Kondrich, A, Lai, D Y, Lohila, A, Malhotra, A, Merbold, L, Mitra, B, Ng, A, Nilsson, M B, Noormets, A, Peichl, M, Rey-Sanchez, A C, Richardson, A D, Runkle, B R, Schäfer, K V, Sonnentag, O, Stuart-Haëntjens, E, Sturtevant, C, Ueyama, M, Valach, A C, Vargas, R, Vourlitis, G L, Ward, E J, Wong, G X, Zona, D, Alberto, M C R, Billesbach, D P, Celis, G, Dolman, H, Friborg, T, Fuchs, K, Gogo, S, Gondwe, M J, Goodrich, J P, Gottschalk, P, Hörtnagl, L, Jacotot, A, Koebsch, F, Kasak, K, Maier, R, Morin, T H, Nemitz, E, Oechel, W C, Oikawa, P Y, Ono, K, Sachs, T, Sakabe, A, Schuur, E A, Shortt, R, Sullivan, R C, Szutu, D J, Tuittila, E-S, Varlagin, A, Verfaillie, J G, Wille, C, Windham-Myers, L, Poulter, B & Jackson, R B 2021, ' Gap-filling eddy covariance methane fluxes : Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands ', Agricultural and Forest Meteorology, vol. 308-309, 108528, pp. 1-22 . https://doi.org/10.1016/j.agrformet.2021.108528
Agricultural and Forest Meteorology, 308-309

Time series of wetland methane fluxes measured by eddy covariance require gap-filling to estimate daily, seasonal, and annual emissions. Gap-filling methane fluxes is challenging because of high variability and complex responses to multiple drivers.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a1d6e070df1145071f1aecf7dfd9936
http://hdl.handle.net/10138/346041

Relationships Between Methane and Carbon Dioxide Fluxes in a Temperate Cattail‐Dominated Freshwater Wetland

Autor: Camilo Rey-Sanchez, Chante' Vines, Yang Ju, Gil Bohrer, T. H. Morin, Kelly C. Wrighton, Jorge A. Villa

Publikováno v: Journal of Geophysical Research: Biogeosciences. 124:2076-2089

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ea88861022d9e9f9b980a86c3a6089cc
https://doi.org/10.1029/2019jg005167