Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Ellen Stuart-Haëntjens"'
Autor:
Jeff W. Atkins, Ben Bond‐Lamberty, Robert T. Fahey, Lisa T. Haber, Ellen Stuart‐Haëntjens, Brady S. Hardiman, Elizabeth LaRue, Brenden E. McNeil, David A. Orwig, Atticus E. L. Stovall, Jason M. Tallant, Jonathan A. Walter, Christopher M. Gough
Publikováno v:
Ecosphere, Vol 11, Iss 6, Pp n/a-n/a (2020)
Abstract The study of vegetation community and structural change has been central to ecology for over a century, yet the ways in which disturbances reshape the physical structure of forest canopies remain relatively unknown. Moderate severity disturb
Externí odkaz:
https://doaj.org/article/b2e350bd810c4ab3a61e5deda9c43aad
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
Publikováno v:
Wetland Carbon and Environmental Management
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69abddb9ddb703c9a8137cc8791bc3c5
https://doi.org/10.1002/9781119639305.ch17
https://doi.org/10.1002/9781119639305.ch17
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
https://doi.org/10.5194/essd-13-3607-2021
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
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
http://hdl.handle.net/10138/346041
Autor:
Robert T. Fahey, Christopher M. Gough, K. C. Mathes, Ben Bond-Lamberty, Jeff W. Atkins, Christoph S. Vogel, Alexander T. Fotis, Lisa T. Haber, Callie L Kleinke, Ellen Stuart-Haëntjens, Maxim S. Grigri, Brady S. Hardiman, Lucas E. Nave, Peter S. Curtis, Gil Bohrer, Knute J. Nadelhoffer, Yang Ju
Publikováno v:
Ecological Applications. 31
Many secondary deciduous forests of eastern North America are approaching a transition in which mature early-successional trees are declining, resulting in an uncertain future for this century-long carbon (C) sink. We initiated the Forest Accelerated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::734cdefdc41533fbd8fbb08153f6bbb5
https://doi.org/10.1002/eap.2417
https://doi.org/10.1002/eap.2417
Autor:
Zutao Ouyang, Sébastien C. Biraud, Xiangzhong Luo, Hideki Kobayashi, Masahito Ueyama, Marcy E. Litvak, Andrew E. Suyker, Walter C. Oechel, Gregory Starr, Peter D. Blanken, Andrew D. Richardson, Prajaya Prajapati, Asko Noormets, Steven F. Oberbauer, Russell L. Scott, Sara H. Knox, Eric S. Russell, John F. Knowles, Ankur R. Desai, Sigrid Dengel, John A. Gamon, Rodrigo Vargas, Elise Pendall, Shirley A. Papuga, Hiroki Iwata, Margaret S. Torn, Ralf M. Staebler, Jiquan Chen, David Durden, Timothy J. Arkebauer, Jitendra Kumar, Heping Liu, Gil Bohrer, Tomer Duman, Paul C. Stoy, William L. Quinton, Inke Forbrich, Nathaniel A. Brunsell, Ryan C. Sullivan, Rosvel Bracho, Elyn Humphreys, Kimberly A. Novick, Jeffrey D. Wood, Christopher M. Gough, Hiroki Ikawa, Xuhui Lee, Carl J. Bernacchi, Yang Ju, Silvano Fares, W. Stephen Chan, Oliver Sonnentag, Housen Chu, T. Andrew Black, P. Y. Oikawa, David Y. Hollinger, Timothy J. Griffis, Donatella Zona, Xingyuan Chen, Stefan Metzger, D. P. Billesbach, Thomas Kolb, Manuel Helbig, Dennis D. Baldocchi, Beverly E. Law, Shannon E. Brown, M. Altaf Arain, John H. Prueger, Kenneth L. Clark, Ellen Stuart-Haëntjens, J. William Munger
Publikováno v:
Agricultural and forest meteorology
301-302 (2021). doi:10.1016/j.agrformet.2021.108350
info:cnr-pdr/source/autori:Chu H.; Luo X.; Ouyang Z.; Chan W.S.; Dengel S.; Biraud S.C.; Torn M.S.; Metzger S.; Kumar J.; Arain M.A.; Arkebauer T.J.; Baldocchi D.; Bernacchi C.; Billesbach D.; Black T.A.; Blanken P.D.; Bohrer G.; Bracho R.; Brown S.; Brunsell N.A.; Chen J.; Chen X.; Clark K.; Desai A.R.; Duman T.; Durden D.; Fares S.; Forbrich I.; Gamon J.A.; Gough C.M.; Griffis T.; Helbig M.; Hollinger D.; Humphreys E.; Ikawa H.; Iwata H.; Ju Y.; Knowles J.F.; Knox S.H.; Kobayashi H.; Kolb T.; Law B.; Lee X.; Litvak M.; Liu H.; Munger J.W.; Noormets A.; Novick K.; Oberbauer S.F.; Oechel W.; Oikawa P.; Papuga S.A.; Pendall E.; Prajapati P.; Prueger J.; Quinton W.L.; Richardson A.D.; Russell E.S.; Scott R.L.; Starr G.; Staebler R.; Stoy P.C.; Stuart-Haentjens E.; Sonnentag O.; Sullivan R.C.; Suyker A.; Ueyama M.; Vargas R.; Wood J.D.; Zona D./titolo:Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites/doi:10.1016%2Fj.agrformet.2021.108350/rivista:Agricultural and forest meteorology (Print)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:301-302
301-302 (2021). doi:10.1016/j.agrformet.2021.108350
info:cnr-pdr/source/autori:Chu H.; Luo X.; Ouyang Z.; Chan W.S.; Dengel S.; Biraud S.C.; Torn M.S.; Metzger S.; Kumar J.; Arain M.A.; Arkebauer T.J.; Baldocchi D.; Bernacchi C.; Billesbach D.; Black T.A.; Blanken P.D.; Bohrer G.; Bracho R.; Brown S.; Brunsell N.A.; Chen J.; Chen X.; Clark K.; Desai A.R.; Duman T.; Durden D.; Fares S.; Forbrich I.; Gamon J.A.; Gough C.M.; Griffis T.; Helbig M.; Hollinger D.; Humphreys E.; Ikawa H.; Iwata H.; Ju Y.; Knowles J.F.; Knox S.H.; Kobayashi H.; Kolb T.; Law B.; Lee X.; Litvak M.; Liu H.; Munger J.W.; Noormets A.; Novick K.; Oberbauer S.F.; Oechel W.; Oikawa P.; Papuga S.A.; Pendall E.; Prajapati P.; Prueger J.; Quinton W.L.; Richardson A.D.; Russell E.S.; Scott R.L.; Starr G.; Staebler R.; Stoy P.C.; Stuart-Haentjens E.; Sonnentag O.; Sullivan R.C.; Suyker A.; Ueyama M.; Vargas R.; Wood J.D.; Zona D./titolo:Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites/doi:10.1016%2Fj.agrformet.2021.108350/rivista:Agricultural and forest meteorology (Print)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:301-302
Large datasets of greenhouse gas and energy surface-atmosphere fluxes measured with the eddy-covariance technique (e.g., FLUXNET2015, AmeriFlux BASE) are widely used to benchmark models and remote-sensing products. This study addresses one of the maj
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf3b9c25b9cbb3182501de3310cbbf98
https://eprints.whiterose.ac.uk/171798/1/1-s2.0-S0168192321000332-main.pdf
https://eprints.whiterose.ac.uk/171798/1/1-s2.0-S0168192321000332-main.pdf
Autor:
Kyle B. Delwiche, Sara Helen Knox, Avni Malhotra, Etienne Fluet-Chouinard, Gavin McNicol, Sarah Feron, Zutao Ouyang, Dario Papale, Carlo Trotta, Eleonora Canfora, You-Wei Cheah, Danielle Christianson, M. Carmelita R. Alberto, Pavel Alekseychik, Mika Aurela, Dennis Baldocchi, Sheel Bansal, David P. Billesbach, Gil Bohrer, Rosvel Bracho, Nina Buchmann, David I. Campbell, Gerardo Celis, Jiquan Chen, Weinan Chen, Housen Chu, Higo J. Dalmagro, Sigrid Dengel, Ankur R. Desai, Matteo Detto, Han Dolman, Elke Eichelmann, Eugenie Euskirchen, Daniela Famulari, Thomas Friborg, Kathrin Fuchs, Mathias Goeckede, Sébastien Gogo, Mangaliso J. Gondwe, Jordan P. Goodrich, Pia Gottschalk, Scott L. Graham, Martin Heimann, Manuel Helbig, Carole Helfter, Kyle S. Hemes, Takashi Hirano, David Hollinger, Lukas Hörtnagl, Hiroki Iwata, Adrien Jacotot, Joachim Jansen, Gerald Jurasinski, Minseok Kang, Kuno Kasak, John King, Janina Klatt, Franziska Koebsch, Ken W. Krauss, Derrick Y. F. Lai, Ivan Mammarella, Giovanni Manca, Luca Belelli Marchesini, Jaclyn Hatala Matthes, Trofim Maximon, Lutz Merbold, Bhaskar Mitra, Timothy H. Morin, Eiko Nemitz, Mats B. Nilsson, Shuli Niu, Walter C. Oechel, Patricia Y. Oikawa, Keisuke Ono, Matthias Peichl, Olli Peltola, Michele L. Reba, Andrew D. Richardson, William Riley, Benjamin R. K. Runkle, Youngryel Ryu, Torsten Sachs, Ayaka Sakabe, Camilo Rey Sanchez, Edward A. Schuur, Karina V. R. Schäfer, Oliver Sonnentag, Jed P. Sparks, Ellen Stuart-Haëntjens, Cove Sturtevant, Ryan C. Sullivan, Daphne J. Szutu, Jonathan E. Thom, Margaret S. Torn, Eeva-Stiina Tuittila, Jessica Turner, Masahito Ueyama, Alex C. Valach, Rodrigo Vargas, Andrej Varlagin, Alma Vazquez-Lule, Joseph G. Verfaillie, Timo Vesala, George L. Vourlitis, Eric J. Ward, Christian Wille, Georg Wohlfahrt, Guan Xhuan Wong, Zhen Zhang, Donatella Zona, Lisamarie Windham-Myers, Benjamin Poulter, Robert B. Jackson
Publikováno v:
Earth System Science Data Discussions
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___::05ee0084cd450a17f85feb54ff29e567
https://essd.copernicus.org/preprints/essd-2020-307/
https://essd.copernicus.org/preprints/essd-2020-307/
Autor:
Chonggang Xu, Robert Crystal-Ornelas, Johan Uddling, Lucas A. Cernusak, Dushan Kumarathunge, Ellen Stuart-Haëntjens, John R. Evans, Sasha C. Reed, Belinda E. Medlyn, Shawn P. Serbin, Dedi Yang, Bruno O. Gimenez, Stephanie C. Schmiege, Danielle A. Way, Paul F. South, Qianyu Li, David Shaner LeBauer, Berkley J. Walker, Hendrik Poorter, Zhengbing Yan, Mauricio Tejera, J. Aaron Hogan, Stan D. Wullschleger, Aud H. Halbritter, Elizabeth P. Gordon, Loren P. Albert, Jin Wu, Nate G. McDowell, Martin G. De Kauwe, Kenneth J Davidson, Steve Bonnage, Thomas D. Sharkey, Jason R. Hupp, Nicholas G. Smith, Ashehad A. Ali, Tomas F. Domingues, Samuel H. Taylor, Julien Lamour, Mary A. Heskel, Deb Agarwal, Brett T. Wolfe, Álvaro Sanz-Sáez, Anthony P. Walker, Martijn Slot, Joseph R. Stinziano, Marjorie R. Lundgren, Alexandria L. Pivovaroff, Kolby J. Jardine, David T. Hanson, Thomas N. Buckley, Daisy C. Souza, Ülo Niinemets, J. Damerow, Chandra Bellasio, Amanda P. Cavanagh, Robinson I. Negrón-Juárez, Michael Dietze, Florian A. Busch, Jens Kattge, Andrew D. B. Leakey, David S. Ellsworth, Mirindi Eric Dusenge, James A. Bunce, Colin P. Osborne, Balasaheb V. Sonawane, Elizabeth A. Ainsworth, Alistair Rogers, Katherine Meacham-Hensold, Jeffrey M. Warren, Angela C. Burnett, Youngryel Ryu, Christopher M. Gough, Carl J. Bernacchi, Charuleka Varadharajan, David J. P. Moore, Vigdis Vandvik, Trevor F. Keenan, Michael J. Aspinwall, Johannes Kromdijk, Jeremiah Anderson, Kim S. Ely, Paul P. G. Gauthier
Publikováno v:
Ely, K S, Rogers, A, Agarwal, D A, Ainsworth, E A, Albert, L P, Ali, A, Anderson, J, Aspinwall, M J, Bellasio, C, Bernacchi, C, Bonnage, S, Buckley, T N, Bunce, J, Burnett, A C, Busch, F A, Cavanagh, A, Cernusak, L A, Crystal-Ornelas, R, Damerow, J, Davidson, K J, De Kauwe, M G, Dietze, M C, Domingues, T F, Dusenge, M E, Ellsworth, D S, Evans, J R, Gauthier, P P G, Gimenez, B O, Gordon, E P, Gough, C M, Halbritter, A H, Hanson, D T, Heskel, M, Hogan, J A, Hupp, J R, Jardine, K, Kattge, J, Keenan, T, Kromdijk, J, Kumarathunge, D P, Lamour, J, Leakey, A D B, LeBauer, D S, Li, Q, Lundgren, M R, McDowell, N, Meacham-Hensold, K, Medlyn, B E, Moore, D J P & Taylor, S H 2021, ' A reporting format for leaf-level gas exchange data and metadata ', Ecological Informatics, vol. 61, 101232 . https://doi.org/10.1016/j.ecoinf.2021.101232
Ecological Informatics
Ecological informatics 61, 101232 (2021). doi:10.1016/j.ecoinf.2021.101232
Ecological Informatics
Ecological informatics 61, 101232 (2021). doi:10.1016/j.ecoinf.2021.101232
Leaf-level gas exchange data support the mechanistic understanding of plant fluxes of carbon and water. These fluxes inform our understanding of ecosystem function, are an important constraint on parameterization of terrestrial biosphere models, are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50802027ddd7a7d7623a176292ae22f9
https://hdl.handle.net/11250/2990076
https://hdl.handle.net/11250/2990076
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
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