The Potential of Satellite Remote Sensing Time Series to Uncover Wetland Phenology under Unique Challenges of Tidal Setting

Autor: Gwen Joelle Miller, Iryna Dronova, Patricia Y. Oikawa, Sara Helen Knox, Lisamarie Windham-Myers, Julie Shahan, Ellen Stuart-Haëntjens

Publikováno v: Remote Sensing, Vol 13, Iss 18, p 3589 (2021)

While growth history of vegetation within upland systems is well studied, plant phenology within coastal tidal systems is less understood. Landscape-scale, satellite-derived indicators of plant greenness may not adequately represent seasonality of ve

Externí odkaz: https://doaj.org/article/518dd365c91540c6bd7d9a5859f3ad2b

FLUXNET-CH4: a global, multi-ecosystem dataset and analysis of methane seasonality from freshwater wetlands

Autor: Michele L. Reba, Benjamin Poulter, Gil Bohrer, Bhaskar Mitra, Giovanni Manca, Lisamarie Windham-Myers, Kathrin Fuchs, Andrew D. Richardson, William J. Riley, Jaclyn Hatala Matthes, Gerardo Celis, Christian Wille, Gavin McNicol, D. S. Christianson, Elke Eichelmann, Timo Vesala, Hiroki Iwata, Youngryel Ryu, Manuel Helbig, Franziska Koebsch, Alma Vázquez-Lule, Nina Buchmann, Karina V. R. Schäfer, Gerald Jurasinski, George L. Vourlitis, You Wei Cheah, Keisuke Ono, Scott L. Graham, Margaret S. Torn, Jessica Turner, Adrien Jacotot, Alex C. Valach, Dennis D. Baldocchi, Minseok Kang, Matteo Detto, Avni Malhotra, David P. Billesbach, Andrej Varlagin, Kyle B. Delwiche, Rosvel Bracho, Olli Peltola, Rodrigo Vargas, Janina Klatt, Martin Heimann, Higo J. Dalmagro, Jed P. Sparks, Etienne Fluet-Chouinard, Ellen Stuart-Haëntjens, Dario Papale, Carlo Trotta, Lukas Hörtnagl, Torsten Sachs, Zhen Zhang, Jiquan Chen, Kyle S. Hemes, Pavel Alekseychik, Georg Wohlfahrt, Walter C. Oechel, Eeva Stiina Tuittila, David I. Campbell, M. Goeckede, Camilo Rey Sanchez, Donatella Zona, Luca Belelli Marchesini, Patricia Y. Oikawa, Daniela Famulari, Robert B. Jackson, Han Dolman, John King, Ankur R. Desai, Pia Gottschalk, Mats Nilsson, Ayaka Sakabe, Ivan Mammarella, Zutao Ouyang, Lutz Merbold, Ken W. Krauss, Kuno Kasak, Cove Sturtevant, Eugénie S. Euskirchen, Mangaliso J. Gondwe, Sarah Feron, Ryan C. Sullivan, Matthias Peichl, E. J. Ward, Weinan Chen, Housen Chu, Trofim C. Maximov, Jordan P. Goodrich, Joseph Verfaillie, Guan Xhuan Wong, Sara H. Knox, Derrick Y.F. Lai, Masahito Ueyama, Sébastien Gogo, Benjamin R. K. Runkle, Mika Aurela, Sigrid Dengel, Jonathan E. Thom, Shuli Niu, Eiko Nemitz, Annalea Lohila, Daphne Szutu, E. Canfora, Takashi Hirano, Oliver Sonnentag, David Y. Hollinger, Sheel Bansal, T. H. Morin, Ma Carmelita R. Alberto, Carole Helfter, Edward A. G. Schuur

Publikováno v: Earth System Science Data. 13:3607-3689

Methane (CH4) emissions from natural landscapes constitute roughly half of global CH4 contributions to the atmosphere, yet large uncertainties remain in the absolute magnitude and the seasonality of emission quantities and drivers. Eddy covariance (E

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d80413cafd423471c73a14303e1a129d
https://doi.org/10.5194/essd-13-3607-2021

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

The Potential of Satellite Remote Sensing Time Series to Uncover Wetland Phenology under Unique Challenges of Tidal Setting

Autor: Julie Shahan, Lisamarie Windham-Myers, Sara H. Knox, Iryna Dronova, Ellen Stuart-Haëntjens, Gwen J. Miller, Patricia Y. Oikawa

Publikováno v: Remote Sensing, Vol 13, Iss 3589, p 3589 (2021)
Remote Sensing; Volume 13; Issue 18; Pages: 3589

While growth history of vegetation within upland systems is well studied, plant phenology within coastal tidal systems is less understood. Landscape-scale, satellite-derived indicators of plant greenness may not adequately represent seasonality of ve

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af4f596303e0c100a3841e39aa16f757

The effect of land cover type and structure on evapotranspiration from agricultural and wetland sites in the Sacramento–San Joaquin River Delta, California

Autor: Dennis D. Baldocchi, Patricia Y. Oikawa, Sara H. Knox, Kyle S. Hemes, Samuel D. Chamberlain, Elke Eichelmann, Joseph Verfaillie, Cove Sturtevant

Publikováno v: Agricultural and Forest Meteorology. :179-195

Water is a limited and valuable resource in California. A large proportion of the fresh water for southern California is supplied by the Sacramento and San Joaquin rivers. With recent efforts to restore large areas of land in the Sacramento–San Joa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d104327343ac1293367317212932e802
https://doi.org/10.1016/j.agrformet.2018.03.007