B064
Model Data Integration to Advance Understanding of Wetland Biogeochemical Cycles
Session ID#: 251213
Session Description:
Despite covering ~6% of the Earth's surface, wetlands play a critical role in global biogeochemical cycles. They store approximately one-third of global soil organic carbon, and act as sinks and sources of carbon dioxide (CO2) through photosynthesis and respiration. Anaerobic conditions in wetlands favor methanogenesis and make wetlands the largest and most uncertain natural source of methane (CH4) emissions. Further, wetlands contribute ~30% of global natural nitrous oxide (N2O) emissions. Given their significant influence in climate regulation, water quality, and ecosystem health, it is crucial to better understand wetland biogeochemical processes. This section invites submissions on modeling and fieldwork-based studies to improve understanding of wetland carbon, nitrogen, phosphorus, and sulfur cycles, and their interactions with atmospheric, hydrological, and sediment dynamics. Topics of interest include, but are not limited to: eddy covariance, chamber, and isotopic analyses; process-based biogeochemical modeling; machine learning; atmospheric inversions; inventory models; and causal inference approaches.
Index Terms:
0426 Biosphere/atmosphere interactions [BIOGEOSCIENCES]
0428 Carbon cycling [BIOGEOSCIENCES]
0466 Modeling [BIOGEOSCIENCES]
0497 Wetlands [BIOGEOSCIENCES]
Primary Convener: Kunxiaojia Yuan, Lawrence Berkeley National Laboratory, Climate & Ecosystem Sciences Division, Berkeley, CA, United States
Conveners: Qing Zhu, Lawrence Berkeley National Laboratory, Climate & Ecosystem Sciences Division, Berkeley, CA, United States, William J Riley, Lawrence Berkeley National Laboratory, Climate and Ecosystem Sciences Division, Berkeley, United States and Euan G Nisbet, Royal Holloway, University of London, Department of Earth Sciences, Egham, United Kingdom
Water table depths impact simulated Methane (CH4) Transport Pathways for a Rice Crop grown on Degraded Fen Peat Soil: results from Peatland-VU model (1851213)
Amey Tilak1, Merit van den Berg2, Ko Rootlieb-van Huissteden3, Tanya Lippmann3, Avni Malhotra4, Matthew John Saunders5, Chloé Wüst-Galley6 and Kenneth A Byrne7, (1)University of Limerick, Biological Sciences, Limerick, Ireland, (2)Postdoctoral Researcher, Amsterdam, Netherlands, (3)Vrije Universiteit, Amsterdam, Netherlands, (4)Pacific Northwest National Laboratory, Richland, WA, United States, (5)Trinity College Dublin, School of Natural Sciences, Discipline of Botany, Dublin, Ireland, (6)Agroscope, Zurich, Switzerland, (7)University of Limerick, Department of Biological Sciences & Bernal Institute, Faculty of Science and Engineering, Limerick, Ireland
Scalable Annual Carbon Flux Estimates in Restored Wetlands Using Data–Model Fusion (Invited) (1875820)
Kyle B Delwiche, University of California Berkeley, Berkeley, CA, United States, Patty Y Oikawa, California State University, East Bay, Hayward, United States, Sara Knox, McGill University, Montreal, QC, Canada and Dennis D Baldocchi, University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, CA, United States
Trees and Knees: Understanding Dynamics of Methane Flux Pathways in a South Louisiana Swamp (1927328)
Robert Bordelon1, Jorge Villa2, Diana Taj1, Eric J Ward3, Sergio Merino4, Kelly Wrighton5 and Gil Bohrer6, (1)University of Louisiana at Lafayette, School of Geosciences, Lafayette, LA, United States, (2)University of Louisiana at Lafayette, School of Geosciences, Lafayette, United States, (3)NASA GSFC / UMD ESSIC, Biospheric Sciences, College Park, United States, (4)U.S. Geological Survey, Wetland and Aquatic Research Center, Lafayette, United States, (5)Colorado State University, Department of Soil and Crop Sciences, Fort Collins, United States, (6)The Ohio State University, Department of Civil, Environmental and Geodetic Engineering, Columbus, United States
Measuring Regional Scale Methane Emission Fluxes From Wetlands (Invited) (1941203)
James L France1, Rebecca Fisher2, David Lowry2, Stephanie Batten2, Mark Lunt3, Jacob Shaw4, Grant Allen5, Sarah Hancock6 and Stephane Bauguitte7, (1)Environmental Defense Fund & Royal Holloway University, London, United Kingdom, (2)Royal Holloway, University of London, Department of Earth Sciences, Egham, United Kingdom, (3)Environmental Defense Fund, Perth, Western Australia, Australia, (4)National Physical Laboratory, London, United Kingdom, (5)University of Manchester, Manchester, M13, United Kingdom, (6)Harvard University, School of Engineering and Applied Sciences, Cambridge, United States, (7)FAAM Airborne Laboratory, Cranfield, United Kingdom
Methane emissions in northern peatlands: Integration of process-based model and multi-site observations (1945416)
Wenzhuo Duan1, Mousong Wu1, Matthias Peichl2, Hongxing He3, Nigel Roulet4, Sara Knox5 and Per-Erik Jansson6, (1)Nanjing University, Nanjing, China, (2)SLU Swedish University of Agricultural Sciences Umeå, Department of Forest Ecology and Management, Umeå, Sweden, (3)McGill University, Department of Geography, Montreal, Canada, (4)McGill University, Department of Geography, Montreal, QC, Canada, (5)McGill University, Montreal, QC, Canada, (6)KTH Royal Institute of Technology, Stockholm, Sweden
Predictive Hybrid Modeling of Wetland Nutrient Cycling Through Sentinel 1 and 2 Spatio-Temporal Machine Learning Analysis (1956539)
Eric Ariel L Salas1, Kellsie Schrack2, Sakthi Kumaran1 and Robert Bennett2, (1)Central State University, Agricultural Research Development Program (ARDP), Wilberforce, OH, United States, (2)Central State University, Agricultural Research Development Program (ARDP), Wilberforce, United States
Nutrient removal and greenhouse gas tradeoffs in a restored wetland in a highly agricultural midwestern watershed (1994125)
Silvia E Newell, University of Michigan Ann Arbor, Ann Arbor, United States, Seth Jarrett, University of Michigan Ann Arbor, SEAS, Ann Arbor, United States, Nicholas Ray, Cornell University, Ecology & Evolutionary Biology, Ithaca, United States, Stephen Jacquemin, Wright State University Lake Campus, Celina, United States, Haley Hoehn, Wright State University Lake Campus, CElina, United States, Morgan Jutte, Wright State University Lake Campu, Celina, United States and Seth Jarrett
A Processed-based Modeling Approach for Simulating Microbial Activity in a Temperate Freshwater Wetland (1994304)
Erin Hassett1, Chelsea Monty-Bromer2, John Senko3, Bukola Adesanmi2, Lauren Kinsman-Costello4, Zelalem A Mekonnen5, Ashley Brereton6,7, Gil Bohrer8, Justine E.C. Missik8 and Timothy Hector Morin9, (1)SUNY College of Environmental Science and Forestry, Syracuse, NY, United States, (2)Cleveland State University, Cleveland, United States, (3)University of Akron, Akron, United States, (4)Kent State University, Department of Biological Sciences, Kent, United States, (5)Lawrence Berkeley National Laboratory, Climate & Ecosystem Sciences Division, Berkeley, CA, United States, (6)University of California Santa Cruz, Institute of Marine Sciences, Santa Cruz, United States, (7)Lawrence Berkeley National Laboratory, Berkeley, United States, (8)The Ohio State University, Department of Civil, Environmental and Geodetic Engineering, Columbus, United States, (9)Syracuse University, College of Environmental Science and Forestry, Syracuse, United States
Assimilating Multi-site Eddy-Covariance Data to Calibrate the CH₄ Wetland Emission Module in a Terrestrial Ecosystem Model (1999399)
Jalisha Theanutti Kallingal1, Marko Scholze2, Paul A Miller2, Johan Lindstrom3, Janne Rinne4, Mika Aurela5, Patrik Vestin2 and Per Weslien6, (1)Lund University, department of physical geography and ecosystem science, Lund, Sweden, (2)Lund University, Department of Physical Geography and Ecosystem Science, Lund, Sweden, (3)Lund University, Lund, Sweden, (4)University of Helsinki, Helsinki, Finland, (5)Finnish Meteorological Institute, Helsinki, Finland, (6)University of Gothenburg, Department of Earth Sciences, Gothenburg, Sweden
