Lisamarie Windham-Myers is a research ecologist in the Earth Systems Process Division of the Water Mission Area.
Broadly-trained in ecosystem ecology, her research focuses on the relative influences of wetland and estuarine characteristics on carbon, nutrient, and trace-metal biogeochemistry. Her approaches span landscape-to-molecular scales as necessary to understand how alterations of wetland structure influences wetland function. Lisa’s research sites represent a wide range of salinity and management conditions, from rice agriculture to coastal and restored wetlands. Since 2000, she has authored or coauthored over 100 peer reviewed papers on wetland biogeochemistry, and co-produced functional maps of wetland elevation and soil characteristics. From local to national to global assessments, Lisa represents USGS capabilities and interests across the aquatic continuum to improve management of wetlands under climate and landuse-change scenarios.
EDUCATION
- Ph.D. 1999, Rutgers University, Ecology, Evolution and Natural Resources
- M.S. 1995, Rutgers University, Geography
- B.A. 1991, University of California Los Angeles, Environmental Engineering
PROFESSIONAL EXPERIENCE
- Research Ecologist, U.S. Geological Survey Water Mission Area (National Research Program) 2004-
- Visiting Scholar , Stanford University (2003-2004)
- Assistant Professor, Dept Earth and Environmental Sciences, Lehigh University (2000-2004)
- NSF Post-doctoral Fellow, Dept Biological Sciences, 1998-2000
- NOAA NERR Fellow/NASA Global Change Research Fellow, 1995-1998
- Geographic Information System Coordinator, Natural Heritage Program, New Jersey Department of Environmental Protection, 1992-1999
- Hyperspectral Remote Sensing Scientist, NASA/Ames Research Center, Moffett Field, CA 1989-1992
RESEARCH INTERESTS
- Environmental Chemistry
- Watershed science
- Carbon and nutrient biogeochemistry
- Mercury biogeochemistry
- Environmental restoration
RECENT SYNERGISTIC ACTIVITIES
- North American Carbon Program, CoChair 2021 Open Science Meeting
- NASA Carbon Monitoring System Principal Investigator, Co-Investigator and Science Team (2014-)
- Powell Center Wetland Methane FLUXNET Synthesis (2018-)
- NSF-Coastal Carbon Research Coordination Network (2018-)
Science and Products
Wetland Carbon Working Group: Improving Methodologies and Estimates of Carbon and Greenhouse Gas Flux in Wetlands
USGS Blue Carbon Projects
Creating a Model to Predict Future Carbon Levels in Tidally-driven Marshes
Global Science and Data Network for Coastal Blue Carbon (SBC)
NASA-USGS National Blue Carbon Monitoring System
Assessing the Benefits and Vulnerability of Current and Future Potential Ecosystem Services of the Nisqually River Delta and other Puget Sound Estuaries
Wetland fluxnet synthesis for methane: understanding and predicting methane fluxes at daily to interannual timescales
Integration of National Soil and Wetland Datasets: A Toolkit for Reproducible Calculation and Quality Assessment of Imputed Wetland Soil Properties
High resolution and discrete temporal and spatial water-quality measurements in support of modeling mercury and methylmercury concentrations in surface waters of the Sacramento-San Joaquin River Delta
Harmonizing wetland soil organic carbon datasets to improve spatial representation of 2011 soil carbon stocks in the conterminous United States
Projected future habitat, elevation change, and carbon accumulation of coastal wetlands in the Nisqually River Delta, Washington
Shallow Sediment Geochemistry in a Mercury-Contaminated Multi-Habitat Floodplain: Cache Creek Settling Basin, Yolo County, California (version 2.0, August 2021)
Tidal marsh biomass field plot and remote sensing datasets for six regions in the conterminous United States (ver. 2.0, June 2020)
Geochemistry of shallow sediment including mercury, methylmercury and other constituents in the Cache Creek Settling Basin, Yolo County, California, 2010-16
Tidal marsh biomass field plot and remote sensing datasets for six regions in the conterminous United States
Forecasting tidal marsh elevation and habitat change through fusion of Earth observations and a process model
Above- and belowground biomass carbon stock and net primary productivity maps for tidal herbaceous marshes of the United States
Modeled production, oxidation, and transport processes of wetland methane emissions in temperate, boreal, and Arctic regions
Combining eddy covariance and chamber methods to better constrain CO2 and CH4 fluxes across a heterogeneous restored tidal wetland
A process-model perspective on recent changes in the carbon cycle of North America
Can coastal habitats rise to the challenge? Resilience of estuarine habitats, carbon accumulation, and economic value to sea-level rise in a Puget Sound estuary
Greenhouse gas balances in coastal ecosystems: Current challenges in “blue carbon” estimation and significance to national greenhouse gas inventories
Improved wetland soil organic carbon stocks of the conterminous U.S. through data harmonization
A conterminous USA-scale map of relative tidal marsh elevation
Carbon flux, storage, and wildlife co-benefits in a restoring estuary
FLUXNET-CH4: A global, multi-ecosystem database and analysis of methane seasonality from freshwater wetlands
Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands
Substantial hysteresis in emergent temperature sensitivity of global wetland CH4 emissions
Science and Products
- Science
Wetland Carbon Working Group: Improving Methodologies and Estimates of Carbon and Greenhouse Gas Flux in Wetlands
WARC researchers are working to quantify the impacts of future climate and land use/land cover change on greenhouse gas emissions and reductions.USGS Blue Carbon Projects
Together with partner organizations, the USGS is involved in data collection, analysis, and synthesis to improve estimates of coastal wetland carbon fluxes. This research will help improve science and data availability across a wide range of topics.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...Global Science and Data Network for Coastal Blue Carbon (SBC)
The Global Science and Data Network for Coastal Blue Carbon (SBC) brings together scientists from a wide range of disciplines. Our goal is to increase the accuracy of and confidence in local, regional, and global estimates of carbon cycle processes, fluxes, and storage as well as greenhouse gas emissions from coastal ecosystems, and to allow global access to quality controlled coastal ecosystem...NASA-USGS National Blue Carbon Monitoring System
The NASA-USGS National Blue Carbon Monitoring System project will evaluate the relative uncertainty of iterative modeling approaches to estimate coastal wetland (marsh and mangrove) C stocks and fluxes based on changes in wetland distributions, using nationally available datasets (Landsat) and as well as finer scale satellite and field derived data in six sentinel sites.Assessing the Benefits and Vulnerability of Current and Future Potential Ecosystem Services of the Nisqually River Delta and other Puget Sound Estuaries
The Nisqually River Delta represents the largest wetland restoration in the Pacific Northwest. The restoration resulted in a 50% increase in potential salt marsh habitat. The Delta supports threatened salmon fisheries, large populations of migratory birds, and provides unique opportunities for recreation. The Delta also provides multiple ecosystem services, which are the benefits that wildlife orWetland fluxnet synthesis for methane: understanding and predicting methane fluxes at daily to interannual timescales
Wetlands provide many important ecosystem services, including wildlife habitat, water purification, flood protection, and carbon metabolism. Our ability to manage these services and predict the long-term health of wetlands is strongly linked to their carbon fluxes, of which methane (CH4) is a key component. Natural wetlands emit approximately 30% of global CH4 emissions, as their waterlogged soilsIntegration of National Soil and Wetland Datasets: A Toolkit for Reproducible Calculation and Quality Assessment of Imputed Wetland Soil Properties
Wetland soils are vital to the Nation because of their role in sustaining water resources, supporting critical ecosystems, and sequestering significant concentrations of biologically-produced carbon. The United States has the world’s most detailed continent-scale digital datasets for soils and wetlands, yet scientists and land managers have long struggled with the challenge of integrating these d - Data
High resolution and discrete temporal and spatial water-quality measurements in support of modeling mercury and methylmercury concentrations in surface waters of the Sacramento-San Joaquin River Delta
The Sacramento / San Joaquin River Delta (SSJRD) is contaminated with legacy mercury (Hg) from historical mining and mineral processing activities throughout the watershed, as well as from contemporary atmospheric and industrial inputs. The current project was designed for the purpose of developing high-resolution spatial and temporal models for estimating concentrations of mercury species in surfHarmonizing wetland soil organic carbon datasets to improve spatial representation of 2011 soil carbon stocks in the conterminous United States
These datasets represent a revised national scale estimate of wetland soil carbon stock assessments by improving representation of soil organic carbon densities. This assessment is based on a three-step approach to harmonize survey and point-based data for predicting soil organic carbon density from percent organic carbon alone (or percent organic matter, with conversion), when reliable dry bulk dProjected future habitat, elevation change, and carbon accumulation of coastal wetlands in the Nisqually River Delta, Washington
This dataset consists of raster geotiff outputs from modeling habitat change, marsh vertical accretion, and carbon accumulation in the Nisqually River Delta, Washington, USA. These rasters represent projections of future habitat type, change in surface elevation above Mean Sea Level, and total sediment carbon accumulation since 2011 in coastal wetland habitats. Projections were generated in 20-yeaShallow Sediment Geochemistry in a Mercury-Contaminated Multi-Habitat Floodplain: Cache Creek Settling Basin, Yolo County, California (version 2.0, August 2021)
The Cache Creek Settling Basin (CCSB) is a 13.3 km2 leveed basin located at the terminal drainage of the Cache Creek watershed, immediately NE of the town of Woodland (Yolo County), California and approximately 18 km NW of Sacramento, California. The basin was constructed by the U.S. Army Corps of Engineers (completed in 1937 and modified in 1993) for the purpose of trapping suspended sediment traTidal marsh biomass field plot and remote sensing datasets for six regions in the conterminous United States (ver. 2.0, June 2020)
Remote sensing based maps of tidal marshes, both of their extents and carbon stocks, have the potential to play a key role in conducting greenhouse gas inventories and implementing climate mitigation policies. Our objective was to generate a single remote sensing model of tidal marsh aboveground biomass and carbon that represents nationally diverse tidal marshes within the conterminous United StatGeochemistry of shallow sediment including mercury, methylmercury and other constituents in the Cache Creek Settling Basin, Yolo County, California, 2010-16
The Cache Creek Settling Basin (CCSB) is a 13.3 km2 leveed basin located at the terminal drainage of the Cache Creek watershed, immediately NE of the town of Woodland (Yolo County), California and approximately 18 km NW of Sacramento, California. The basin was constructed by the U.S. Army Corps of Engineers (completed in 1937 and modified in 1993) for the purpose of trapping suspended sediment traTidal marsh biomass field plot and remote sensing datasets for six regions in the conterminous United States
Remote sensing based maps of tidal marshes, both of their extents and carbon stocks, have the potential to play a key role in conducting greenhouse gas inventories and implementing climate mitigation policies. Our objective was to generate a single remote sensing model of tidal marsh aboveground biomass and carbon that represents nationally diverse tidal marshes within the conterminous United StatForecasting tidal marsh elevation and habitat change through fusion of Earth observations and a process model
Regional models of tidal marsh elevation response to sea-level rise are needed to support coastal climate change adaptation decisions, including those related to land use planning, habitat management and infrastructure design. The Marsh Equilibrium Model (MEM) is a one-dimensional mechanistic elevation model that incorporates feedbacks of organic and inorganic inputs within the tidal frame to proj - Multimedia
- Publications
Filter Total Items: 47
Above- and belowground biomass carbon stock and net primary productivity maps for tidal herbaceous marshes of the United States
Accurate assessments of greenhouse gas emissions and carbon sequestration in natural ecosystems are necessary to develop climate mitigation strategies. Regional and national-level assessments of carbon sequestration require high-resolution data to be available for large areas, increasing the need for remote sensing products that quantify carbon stocks and fluxes. The Intergovernmental Panel on CliAuthorsVictoria Woltz, Camille Stagg, Kristin B. Byrd, Lisamarie Windham-Myers, Andre S. Rovai, Zhiliang ZhuModeled production, oxidation, and transport processes of wetland methane emissions in temperate, boreal, and Arctic regions
Wetlands are the largest natural source of methane (CH4) to the atmosphere. The eddy covariance method provides robust measurements of net ecosystem exchange of CH4, but interpreting its spatiotemporal variations is challenging due to the co-occurrence of CH4 production, oxidation, and transport dynamics. Here, we estimate these three processes using a data-model fusion approach across 25 wetlandsAuthorsMasahito Ueyama, Sarah Knox, Kyle B. Delwiche, Sheel Bansal, William J. Riley, Denis Baldocchi, Takashi Hirano, Gavin McNicol, Karina Schafer, Lisamarie Windham-Myers, Benjamin Poulter, Robert B. Jackson, Kuang-Yu Chang, Jiquan Chen, Housen Chu, Ankur R. Desai, Sebastien Gogo, Hiroki Iwata, Minseok Kang, Ivan Mammarella, Matthias Peichl, Oliver Sonnentag, Eeva-Stiina Tuittila, Youngryel Ryu, Eugenie S. Euskirchen, Mathias Goeckede, Adrien Jacotot, Mats B. Nilsson, Torsten SachsCombining 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 OikawaA process-model perspective on recent changes in the carbon cycle of North America
Continental North America has been found to be a carbon (C) sink over recent decades by multiple studies employing a variety of estimation approaches. However, several key questions and uncertainties remain with these assessments. Here we used results from an ensemble of 19 state-of-the-art dynamic global vegetation models from the TRENDYv9 project to improve these estimates and study the driversAuthorsGuillermo Murray-Tortarolo, Benjamin Poulter, Rodrigo Vargas, Daniel B. Hayes, Anna M. Michalak, Christopher J. Williams, Lisamarie Windham-Myers, Jonathan Wang, Kimberly Wickland, David Butman, Hanqin Tian, Stephen Sitch, Pierre Friedlingstein, Michael O'Sullivan, Peter Briggs, Vivek Arora, Danielle Lombardozzi, Atul Jain, Wenping Yuan, Roland Seferian, Julia Nabel, Andrea Wiltshire, Almuth Arneth, Sebastian Lienerte, Sonke Zaehle, Vladislov Bastrikov, Daniel Goll, Nicholas Vuichard, Anthony P. Walker, Etushi Kato, Yue Xu, Zhen Zhang, Abishek Chaterjee, Werner A. KurzCan coastal habitats rise to the challenge? Resilience of estuarine habitats, carbon accumulation, and economic value to sea-level rise in a Puget Sound estuary
Sea-level rise (SLR) and obstructions to sediment delivery pose challenges to the persistence of estuarine habitats and the ecosystem services they provide. Restoration actions and sediment management strategies may help mitigate such challenges by encouraging the vertical accretion of sediment in and horizontal migration of tidal forests and marshes. We used a process-based soil accretion model (AuthorsMonica Mei Jeen Moritsch, Kristin B. Byrd, Melanie J. Davis, Anthony J. Good, Judith Z. Drexler, James T. Morris, Isa Woo, Lisamarie Windham-Myers, Eric E. Grossman, Glynnis Nakai, Katrina L. Poppe, John M. RybczykGreenhouse gas balances in coastal ecosystems: Current challenges in “blue carbon” estimation and significance to national greenhouse gas inventories
Coastal wetlands are defined herein as inundated, vegetated ecosystems with hydrology, and biogeochemistry influenced by sea levels, at timescales of tides to millennia. Coastal wetlands are necessary components of global greenhouse gas estimation and scenario modeling, both for continental and oceanic mass balances. The carbon pools and fluxes on coastal lands, especially those influenced by tidaAuthorsLisamarie Windham-Myers, James R. Holmquist, Kevin D. Kroeger, Tiffany G. TroxlerImproved wetland soil organic carbon stocks of the conterminous U.S. through data harmonization
Wetland soil stocks are important global repositories of carbon (C) but are difficult to quantify and model due to varying sampling protocols, and geomorphic/spatio-temporal discontinuity. Merging scales of soil-survey spatial extents with wetland-specific point-based data offers an explicit, empirical and updatable improvement for regional and continental scale soil C stock assessments. Agency-coAuthorsBergit Rose Uhran, Lisamarie Windham-Myers, Norman B. Bliss, Amanda M. Nahlik, Eric T. Sundquist, Camille L. StaggA conterminous USA-scale map of relative tidal marsh elevation
Tidal wetlands provide myriad ecosystem services across local to global scales. With their uncertain vulnerability or resilience to rising sea levels, there is a need for mapping flooding drivers and vulnerability proxies for these ecosystems at a national scale. However, tidal wetlands in the conterminous USA are diverse with differing elevation gradients, and tidal amplitudes, making broad geogrAuthorsJames R. Holmquist, Lisamarie Windham-MyersCarbon 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 HodgsonFLUXNET-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. JacksonSubstantial hysteresis in emergent temperature sensitivity of global wetland CH4 emissions
Wetland methane (CH4) emissions (FCH4) are important in global carbon budgets and climate change assessments. Currently, FCH4 projections rely on prescribed static temperature sensitivity that varies among biogeochemical models. Meta-analyses have proposed a consistent FCH4 temperature dependence across spatial scales for use in models; however, site-level studies demonstrate that FCH4 are often cAuthorsKuang-Yu Chang, William J. Riley, Sara H. Knox, Robert B. Jackson, Gavin McNicol, Benjamin Poulter, Mika Aurela, Dennis Baldocchi, Sheel Bansal, Gil Bohrer, David I. Campbell, Alessandro Cescatti, Housen Chu, Kyle B. Delwiche, Ankur R. Desai, Eugenie S. Euskirchen, Matthias Goeckede, Thomas Friborg, Kyle S. Hemes, Takashi Hirano, Hiroki Iwata, Manuel Helbig, Trevor F. Keenan, Minseok Kang, Ken Krauss, Annalea Lohila, Bhaskar Mitra, Ivan Mammarella, Akira Miyata, Mats B. Nilsson, Walter C. Oechel, Akso Noormets, Matthias Peichl, Michele L. Reba, Janne Rinne, Dario Papale, Benjamin R. K. Runkle, Youngryel Ryu, Torsten Sachs, Karina VR Schäfer, Hans Peter Schmid, Narasinha Shurpali, Oliver Sonnentag, Angela C.I. Tang, Margaret S. Torn, Eeva-Stiina Tuittila, Carlo Trotta, Masahito Ueyama, Rodrigo Vargas, Timo Vesala, Lisamarie Windham-Myers, Zhen Zhang, Donatella Zona - News