Integrating Tide‐Driven Wetland Soil Redox and Biogeochemical Interactions Into a Land Surface Model
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- Oak Ridge National Laboratory Environmental Sciences Division and Climate Change Science Institute Oak Ridge TN USA
- Oak Ridge National Laboratory Environmental Sciences Division and Climate Change Science Institute Oak Ridge TN USA, School of Earth and Climate Sciences University of Maine Orono ME USA
- Oak Ridge National Laboratory Environmental Sciences Division and Climate Change Science Institute Oak Ridge TN USA, Now at Upper Midwest Water Science Center U.S. Geological Survey Madison WI USA
- Earth and Environmental Sciences Division Lawrence Berkeley National Laboratory Berkeley CA USA
- Environmental Subsurface Science Group Pacific Northwest National Laboratory Richland WA USA
- Department of Environmental Sciences University of Toledo Toledo OH USA, The Ecosystems Center Marine Biological Laboratory Woods Hole MA USA
- The Ecosystems Center Marine Biological Laboratory Woods Hole MA USA
Abstract Redox processes, aqueous and solid‐phase chemistry, and pH dynamics are key drivers of subsurface biogeochemical cycling and methanogenesis in terrestrial and wetland ecosystems but are typically not included in terrestrial carbon cycle models. These omissions may introduce errors when simulating systems where redox interactions and pH fluctuations are important, such as wetlands where saturation of soils can produce anoxic conditions and coastal systems where sulfate inputs from seawater can influence biogeochemistry. Integrating cycling of redox‐sensitive elements could therefore allow models to better represent key elements of carbon cycling and greenhouse gas production. We describe a model framework that couples the Energy Exascale Earth System Model (E3SM) Land Model (ELM) with PFLOTRAN biogeochemistry, allowing geochemical processes and redox interactions to be integrated with land surface model simulations. We implemented a reaction network including aerobic decomposition, fermentation, sulfate reduction, sulfide oxidation, methanogenesis, and methanotrophy as well as pH dynamics along with iron oxide and iron sulfide mineral precipitation and dissolution. We simulated biogeochemical cycling in tidal wetlands subject to either saltwater or freshwater inputs driven by tidal hydrological dynamics. In simulations with saltwater tidal inputs, sulfate reduction led to accumulation of sulfide, higher dissolved inorganic carbon concentrations, lower dissolved organic carbon concentrations, and lower methane emissions than simulations with freshwater tidal inputs. Model simulations compared well with measured porewater concentrations and surface gas emissions from coastal wetlands in the Northeastern United States. These results demonstrate how simulating geochemical reaction networks can improve land surface model simulations of subsurface biogeochemistry and carbon cycling.
- Research Organization:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Compute and Data Environment for Science (CADES); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE; USDOE Office of Science (SC), Biological and Environmental Research (BER); USDOE Office of Science (SC), Biological and Environmental Research (BER). Earth And Environmental Systems Science (EESS)
- Grant/Contract Number:
- AC02-05CH11231; AC05-00OR22725; AC05-76RL01830; SC0022108; SC0024270
- OSTI ID:
- 2339904
- Report Number(s):
- PNNL-SA-195999; e2023MS004002
- Journal Information:
- Journal of Advances in Modeling Earth Systems, Journal Name: Journal of Advances in Modeling Earth Systems Journal Issue: 4 Vol. 16; ISSN 1942-2466
- Publisher:
- American Geophysical Union (AGU)Copyright Statement
- Country of Publication:
- United States
- Language:
- English
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