Science and Products
Creating a Model to Predict Future Carbon Levels in Tidally-driven Marshes
Tidal marshes are important ecosystems in the San Francisco-Bay Delta. They remove carbon from the atmosphere, they build up soils that buffer our communities from sea level rise, they provide critical habitat and food resources for a diversity of species, and they reduce excessive nutrients which have a negative impact on water quality. As a result of land-use change and urbanization, the San...
Increased salinity decreases annual gross primary productivity at a Northern California brackish tidal marsh
Tidal marshes sequester 11.4–87.0 Tg C yr−1 globally, but climate change impacts can threaten the carbon capture potential of these ecosystems. Tidal marshes occur across a wide range of salinity, with brackish marshes (0.5–18 ppt (parts per thousand)) dominating global tidal marsh extents. A diverse mix of freshwater- and saltwater-tolerant plant and microbial communities has led researchers to p
Authors
Sarah Russell, Lisamarie Windham-Myers, Ellen J Goodrich-Stuart, Brian A. Bergamaschi, Frank Anderson, Patty Oikawa, Sara Knox
Combining eddy covariance and chamber methods to better constrain CO2 and CH4 fluxes across a heterogeneous restored tidal wetland
Tidal wetlands play an important role in global carbon cycling by storing carbon in sediment at millennial time scales, transporting dissolved carbon into coastal waters, and contributing significantly to global CH4 budgets. However, these ecosystems' greenhouse gas monitoring and predictions are challenging due to spatial heterogeneity and tidal flooding. We utilized eddy covariance and chamber m
Authors
Julie Shahan, Housen Chu, Lisamarie Windham-Myers, Maiyah Matsumura, Joseph Carlin, Elke Eichelmann, Ellen J Goodrich-Stuart, Brian A. Bergamaschi, Kyle Kensuke Nakatsuka, Cove Sturtevant, Patty Oikawa
Carbon flux, storage, and wildlife co-benefits in a restoring estuary
Tidal marsh restorations may result in transitional mudflat habitats depending on hydrological and geomorphological conditions. Compared to tidal marsh, mudflats are thought to have limited value for carbon sequestration, carbon storage, and foraging benefits for salmon. We evaluated greenhouse gas exchange, sediment carbon storage, and invertebrate production at restoration and reference tidal ma
Authors
Isa Woo, Melanie J. Davis, Susan E. W. De La Cruz, Lisamarie Windham-Myers, Judith Z. Drexler, Kristin B. Byrd, Ellen Stuart-Haëntjens, Frank E Anderson, Brian A. Bergamaschi, Glynnis Nakai, Christopher S. Ellings, Sayre Hodgson
The potential of satellite remote sensing time series to uncover wetland phenology under unique challenges of tidal setting
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 vegetation biomass and productivity within tidal wetlands due to limitations of cloud cover, satellite temporal frequency and attenu-ation of plant sign
Authors
Gwendolyn Joelle Miller, Iryna Dronova, Patricia Oikawa, Sara Helen Knox, Lisamarie Windham-Myers, Julie Shahan, Ellen Stuart-Haëntjens
FLUXNET-CH4: A global, multi-ecosystem database and analysis of methane seasonality from freshwater wetlands
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 (EC) measurements of CH4 flux are ideal for constraining ecosystem-scale CH4 emissions due to quasi-continuous and high-temporal-resolution CH4 flux mea
Authors
Kyle B. Delwiche, Sarah Knox, Avni Malhotra, Etienne Fluet-Chouinard, Gavin McNicol, Sarah Feron, Zutao Ouyang, Dario Papale, Carlo Trotta, Eleonora Canfora, You-Wei Cheah, Danielle Christianson, Ma. 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, Weinan Chen, Jiquan Chen, Housen Chu, Higo J Dalmagro, Sigrid Dengel, Ankur R. Desai, Matteo Detto, Han Dolman, Elke Eichelmann, Eugenie S. Euskirchen, Daniela Famulari, 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 Krauss, Derrick Y.F. Lai, Annalea Lohila, Ivan Mammarella, Luca B Marchesini, Giovanni Manca, Jaclyn H Matthes, Trofim Maximov, 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 RK Runkle, Youngryel Ryu, Torsten Sachs, Ayaka Sakabe, Camilo Rey Sanchez, Edward A. Schuur, Karina VR 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 Ward, Christian Wille, Georg Wohlfahrt, Guan Xhuan Wong, Zhen Zhang, Donatella Zona, Lisamarie Windham-Myers, Benjamin Poulter, Robert B. Jackson
Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands
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. To date, there is no widely established gap-filling standard for wetland methane fluxes, with regards both to the best model algorithms and predictors
Authors
Jeremy Irvin, Sharon Zhou, Gavin McNicol, Fred Lu, Vincent Liu, Etienne Fluet-Chouinard, Zutao Ouyang, Sara Helen Knox, Antje Lucas-Moffat, Carlo Trotta, Dario Papale, Domenico Vitale, Ivan Mammarella, Pavel Alekseychik, Mika Aurela, Anand Avati, Dennis Baldocchi, Sheel Bansal, Gil Bohrer, David I. Campbell, Jiquan Chen, Housen Chu, Higo J. Dalmagro, Kyle B. Delwiche, Ankur R. Desai, Eugenie S. Euskirchen, Sarah Feron, Mathias Goeckede, Martin Heimann, Manuel Helbig, Carole Helfter, Kyle S. Hemes, Takashi Hirano, Hiroki Iwata, Gerald Jurasinski, Aram A.M. Kalhori, Andrew Kondrich, Derrick Y. F. Lai, Annalea Lohila, Avni Malholtra, Lutz Merbold, Bhaskar Mitra, Andrew Ng, Mats B. Nilsson, Asko Noormets, Matthias Peichl, A. Camilo Rey-Sanchez, Andrew D. Richardson, Benjamin R. K. Runkle, Karina V. R. Schäfer, Oliver Sonnentag, Ellen Stuart-Haëntjens, Cove Sturtevant, Masahito Ueyama, Alex C. Valach, Rodrigo Vargas, George L. Vourlitis, Eric Ward, Guan Xhuan Wong, Donatella Zona, Ma. Carmelita R. Alberto, David P. Billesbach, Gerardo Celis, Han Dolman, Thomas Friborg, Kathrin Fuchs, Sebastien Gogo, Mangaliso J. Gondwe, Jordan P. Goodrich, Pia Gottschalk, Lukas Hörtnagl, Adrien Jacotot, Franziska Koebsch, Kuno Kasak, Regine Maier, Timothy H. Morin, Eiko Nemitz, Walter C. Oechel, Patricia Y. Oikawa, Keisuke Ono, Torsten Sachs, Ayaka Sakabe, Edward A. Schuur, Robert Shortt, Ryan C. Sullivan, Daphne J. Szutu, Eeva-Stiina Tuittila, Andrej Varlagin, Joseph G. Verfaillie, Christian Wille, Lisamarie Windham-Myers, Benjamin Poulter, Robert B. Jackson
A reporting format for leaf-level gas exchange data and metadata
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 necessary to understand the response of plants to global environmental change, and are integral to efforts to improve crop production. Collection of t
Authors
Kim S. Ely, Alistair Rogers, Deborah A. Agarwal, Elizabeth A. Ainsworth, Loren Albert, Ashehad Ali, Jeremiah Anderson, Michael J. Aspinwall, Chandra Bellasio, Carl Bernacchi, Steve Bonnage, Thomas N. Buckley, James Bunce, Angela C. Burnett, Florian A. Busch, Amanda Cavanagh, Lucas A. Cernusak, Robert Crystal-Ornelas, Joan Damerow, Kenneth J. Davidson, Martin G. De Kauwe, Michael C. Dietze, Tomas F. Domingues, Mirindi Eric Dusenge, David S. Ellsworth, John R. Evans, Paul P.G. Gauthier, Bruno O. Gimenez, Elizabeth P. Gordon, Christopher M. Gough, Aud H. Halbritter, David T. Hanson, Mary A. Heskel, J. Aaron Hogan, Jason R. Hupp, Kolby Jardine, Jens Kattge, Trevor F. Keenan, Johannes Kromdijk, Dushan P. Kumarathunge, Julien Lamour, Andrew D.B. Leakey, David S. LeBauer, Qianyu Li, Marjorie R. Lundgren, Nate McDowell, Katherine Meacham-Hensold, Belinda E. Medlyn, David J.P. Moore, Robinson Negrón-Juárez, Ülo Niinemets, Colin P. Osborne, Alexandria L. Pivovaroff, Hendrik Poorter, Sasha C. Reed, Youngryel Ryu, Alvaro Sanz-Saez, Stephanie C. Schmiege, Shawn P. Serbin, Thomas D. Sharkey, Martijn Slot, Nicholas G. Smith, Balasaheb V. Sonawane, Paul F. South, Daisy S. Souza, Joseph Ronald Stinziano, Ellen Stuart-Haëntjens, Samuel H. Taylor, Mauricio D. Tejera, Johan Uddling, Vigdis Vandvik, Charuleka Varadharajan, Anthony P. Walker, Berkley J. Walker, Jeffrey M. Warren, Danielle A. Way, Brett T. Wolfe, Jin Wu, Stan D. Wullschleger, Chonggang Xu, Zhengbing Yan, Dedi Yang
Science and Products
- Science
Creating a Model to Predict Future Carbon Levels in Tidally-driven Marshes
Tidal marshes are important ecosystems in the San Francisco-Bay Delta. They remove carbon from the atmosphere, they build up soils that buffer our communities from sea level rise, they provide critical habitat and food resources for a diversity of species, and they reduce excessive nutrients which have a negative impact on water quality. As a result of land-use change and urbanization, the San... - Publications
Increased salinity decreases annual gross primary productivity at a Northern California brackish tidal marsh
Tidal marshes sequester 11.4–87.0 Tg C yr−1 globally, but climate change impacts can threaten the carbon capture potential of these ecosystems. Tidal marshes occur across a wide range of salinity, with brackish marshes (0.5–18 ppt (parts per thousand)) dominating global tidal marsh extents. A diverse mix of freshwater- and saltwater-tolerant plant and microbial communities has led researchers to pAuthorsSarah Russell, Lisamarie Windham-Myers, Ellen J Goodrich-Stuart, Brian A. Bergamaschi, Frank Anderson, Patty Oikawa, Sara KnoxCombining eddy covariance and chamber methods to better constrain CO2 and CH4 fluxes across a heterogeneous restored tidal wetland
Tidal wetlands play an important role in global carbon cycling by storing carbon in sediment at millennial time scales, transporting dissolved carbon into coastal waters, and contributing significantly to global CH4 budgets. However, these ecosystems' greenhouse gas monitoring and predictions are challenging due to spatial heterogeneity and tidal flooding. We utilized eddy covariance and chamber mAuthorsJulie Shahan, Housen Chu, Lisamarie Windham-Myers, Maiyah Matsumura, Joseph Carlin, Elke Eichelmann, Ellen J Goodrich-Stuart, Brian A. Bergamaschi, Kyle Kensuke Nakatsuka, Cove Sturtevant, Patty OikawaCarbon flux, storage, and wildlife co-benefits in a restoring estuary
Tidal marsh restorations may result in transitional mudflat habitats depending on hydrological and geomorphological conditions. Compared to tidal marsh, mudflats are thought to have limited value for carbon sequestration, carbon storage, and foraging benefits for salmon. We evaluated greenhouse gas exchange, sediment carbon storage, and invertebrate production at restoration and reference tidal maAuthorsIsa Woo, Melanie J. Davis, Susan E. W. De La Cruz, Lisamarie Windham-Myers, Judith Z. Drexler, Kristin B. Byrd, Ellen Stuart-Haëntjens, Frank E Anderson, Brian A. Bergamaschi, Glynnis Nakai, Christopher S. Ellings, Sayre HodgsonThe potential of satellite remote sensing time series to uncover wetland phenology under unique challenges of tidal setting
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 vegetation biomass and productivity within tidal wetlands due to limitations of cloud cover, satellite temporal frequency and attenu-ation of plant signAuthorsGwendolyn Joelle Miller, Iryna Dronova, Patricia Oikawa, Sara Helen Knox, Lisamarie Windham-Myers, Julie Shahan, Ellen Stuart-HaëntjensFLUXNET-CH4: A global, multi-ecosystem database and analysis of methane seasonality from freshwater wetlands
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 (EC) measurements of CH4 flux are ideal for constraining ecosystem-scale CH4 emissions due to quasi-continuous and high-temporal-resolution CH4 flux meaAuthorsKyle B. Delwiche, Sarah Knox, Avni Malhotra, Etienne Fluet-Chouinard, Gavin McNicol, Sarah Feron, Zutao Ouyang, Dario Papale, Carlo Trotta, Eleonora Canfora, You-Wei Cheah, Danielle Christianson, Ma. 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, Weinan Chen, Jiquan Chen, Housen Chu, Higo J Dalmagro, Sigrid Dengel, Ankur R. Desai, Matteo Detto, Han Dolman, Elke Eichelmann, Eugenie S. Euskirchen, Daniela Famulari, 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 Krauss, Derrick Y.F. Lai, Annalea Lohila, Ivan Mammarella, Luca B Marchesini, Giovanni Manca, Jaclyn H Matthes, Trofim Maximov, 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 RK Runkle, Youngryel Ryu, Torsten Sachs, Ayaka Sakabe, Camilo Rey Sanchez, Edward A. Schuur, Karina VR 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 Ward, Christian Wille, Georg Wohlfahrt, Guan Xhuan Wong, Zhen Zhang, Donatella Zona, Lisamarie Windham-Myers, Benjamin Poulter, Robert B. JacksonGap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands
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. To date, there is no widely established gap-filling standard for wetland methane fluxes, with regards both to the best model algorithms and predictorsAuthorsJeremy Irvin, Sharon Zhou, Gavin McNicol, Fred Lu, Vincent Liu, Etienne Fluet-Chouinard, Zutao Ouyang, Sara Helen Knox, Antje Lucas-Moffat, Carlo Trotta, Dario Papale, Domenico Vitale, Ivan Mammarella, Pavel Alekseychik, Mika Aurela, Anand Avati, Dennis Baldocchi, Sheel Bansal, Gil Bohrer, David I. Campbell, Jiquan Chen, Housen Chu, Higo J. Dalmagro, Kyle B. Delwiche, Ankur R. Desai, Eugenie S. Euskirchen, Sarah Feron, Mathias Goeckede, Martin Heimann, Manuel Helbig, Carole Helfter, Kyle S. Hemes, Takashi Hirano, Hiroki Iwata, Gerald Jurasinski, Aram A.M. Kalhori, Andrew Kondrich, Derrick Y. F. Lai, Annalea Lohila, Avni Malholtra, Lutz Merbold, Bhaskar Mitra, Andrew Ng, Mats B. Nilsson, Asko Noormets, Matthias Peichl, A. Camilo Rey-Sanchez, Andrew D. Richardson, Benjamin R. K. Runkle, Karina V. R. Schäfer, Oliver Sonnentag, Ellen Stuart-Haëntjens, Cove Sturtevant, Masahito Ueyama, Alex C. Valach, Rodrigo Vargas, George L. Vourlitis, Eric Ward, Guan Xhuan Wong, Donatella Zona, Ma. Carmelita R. Alberto, David P. Billesbach, Gerardo Celis, Han Dolman, Thomas Friborg, Kathrin Fuchs, Sebastien Gogo, Mangaliso J. Gondwe, Jordan P. Goodrich, Pia Gottschalk, Lukas Hörtnagl, Adrien Jacotot, Franziska Koebsch, Kuno Kasak, Regine Maier, Timothy H. Morin, Eiko Nemitz, Walter C. Oechel, Patricia Y. Oikawa, Keisuke Ono, Torsten Sachs, Ayaka Sakabe, Edward A. Schuur, Robert Shortt, Ryan C. Sullivan, Daphne J. Szutu, Eeva-Stiina Tuittila, Andrej Varlagin, Joseph G. Verfaillie, Christian Wille, Lisamarie Windham-Myers, Benjamin Poulter, Robert B. JacksonA reporting format for leaf-level gas exchange data and metadata
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 necessary to understand the response of plants to global environmental change, and are integral to efforts to improve crop production. Collection of tAuthorsKim S. Ely, Alistair Rogers, Deborah A. Agarwal, Elizabeth A. Ainsworth, Loren Albert, Ashehad Ali, Jeremiah Anderson, Michael J. Aspinwall, Chandra Bellasio, Carl Bernacchi, Steve Bonnage, Thomas N. Buckley, James Bunce, Angela C. Burnett, Florian A. Busch, Amanda Cavanagh, Lucas A. Cernusak, Robert Crystal-Ornelas, Joan Damerow, Kenneth J. Davidson, Martin G. De Kauwe, Michael C. Dietze, Tomas F. Domingues, Mirindi Eric Dusenge, David S. Ellsworth, John R. Evans, Paul P.G. Gauthier, Bruno O. Gimenez, Elizabeth P. Gordon, Christopher M. Gough, Aud H. Halbritter, David T. Hanson, Mary A. Heskel, J. Aaron Hogan, Jason R. Hupp, Kolby Jardine, Jens Kattge, Trevor F. Keenan, Johannes Kromdijk, Dushan P. Kumarathunge, Julien Lamour, Andrew D.B. Leakey, David S. LeBauer, Qianyu Li, Marjorie R. Lundgren, Nate McDowell, Katherine Meacham-Hensold, Belinda E. Medlyn, David J.P. Moore, Robinson Negrón-Juárez, Ülo Niinemets, Colin P. Osborne, Alexandria L. Pivovaroff, Hendrik Poorter, Sasha C. Reed, Youngryel Ryu, Alvaro Sanz-Saez, Stephanie C. Schmiege, Shawn P. Serbin, Thomas D. Sharkey, Martijn Slot, Nicholas G. Smith, Balasaheb V. Sonawane, Paul F. South, Daisy S. Souza, Joseph Ronald Stinziano, Ellen Stuart-Haëntjens, Samuel H. Taylor, Mauricio D. Tejera, Johan Uddling, Vigdis Vandvik, Charuleka Varadharajan, Anthony P. Walker, Berkley J. Walker, Jeffrey M. Warren, Danielle A. Way, Brett T. Wolfe, Jin Wu, Stan D. Wullschleger, Chonggang Xu, Zhengbing Yan, Dedi Yang