A New Coupled Biogeochemical Modeling Approach Provides Accurate Predictions of Methane and Carbon Dioxide Fluxes Across Diverse Tidal Wetlands

Abstract Tidal wetlands provide valuable ecosystem services, including storing large amounts of carbon. However, the net exchanges of carbon dioxide (CO 2 ) and methane (CH 4 ) in tidal wetlands are highly uncertain. While several biogeochemical models can operate in tidal wetlands, they have yet to be parameterized and validated against high‐frequency, ecosystem‐scale CO 2 and CH 4 flux measurements across diverse sites. We paired the Cohort Marsh Equilibrium Model (CMEM) with a version of the PEPRMT model called PEPRMT‐Tidal, which considers the effects of water table height, sulfate, and nitrate availability on CO 2 and CH 4 emissions. Using a model‐data fusion approach, we parameterized the model with three sites and validated it with two independent sites, with representation from the three marine coasts of North America. Gross primary productivity (GPP) and ecosystem respiration (R eco ) modules explained, on average, 73% of the variation in CO 2 exchange with low model error (normalized root mean square error (nRMSE) <1). The CH 4 module also explained the majority of variance in CH 4 emissions in validation sites ( R 2 = 0.54; nRMSE = 1.15). The PEPRMT‐Tidal‐CMEM model coupling is a key advance toward constraining estimates of greenhouse gas emissions across diverse North American tidal wetlands. Further analyses of model error and case studies during changing salinity conditions guide future modeling efforts regarding four main processes: (a) the influence of salinity and nitrate on GPP, (b) the influence of laterally transported dissolved inorganic C on R eco , (c) heterogeneous sulfate availability and methylotrophic methanogenesis impacts on surface CH 4 emissions, and (d) CH 4 responses to non‐periodic changes in salinity.

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Publication Details

Journal
Journal of Geophysical Research Biogeosciences
Published
2024-10-01
DOI
https://doi.org/10.1029/2023jg007943
Citations
4
Primary Topic
Coastal wetland ecosystem dynamics
Type
article
Field-Weighted Citation Impact
1.84

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article

A New Coupled Biogeochemical Modeling Approach Provides Accurate Predictions of Methane and Carbon Dioxide Fluxes Across Diverse Tidal Wetlands

O. Thomas, James R. Holmquist, Inke Forbrich, Eric J. Ward et al.
4 citations
Journal of Geophysical Research Biogeosciences
Coastal wetland ecosystem dynamics
1.84
article

A New Coupled Biogeochemical Modeling Approach Provides Accurate Predictions of Methane and Carbon Dioxide Fluxes Across Diverse Tidal Wetlands

O. Thomas, James R. Holmquist, Inke Forbrich, Eric J. Ward, Ariane Arias‐Ortiz, Spencer C. Russell, Sara Knox, Lisamarie Windham‐Myers, Ellen Stuart‐Haëntjens, Etienne Fluet‐Chouinard, Julie Shahan, Rodrigo Vargas, Patricia Y. Oikawa, Joanna M. Wolfe, Gavin McNicol, Scott D. Bridgham, Debjani Sihi, Brian A. Needelman, Karina V. R. Schäfer, J. Patrick Megonigal, M. Najarro
article en
4 citations

Abstract

Abstract Tidal wetlands provide valuable ecosystem services, including storing large amounts of carbon. However, the net exchanges of carbon dioxide (CO 2 ) and methane (CH 4 ) in tidal wetlands are highly uncertain. While several biogeochemical models can operate in tidal wetlands, they have yet to be parameterized and validated against high‐frequency, ecosystem‐scale CO 2 and CH 4 flux measurements across diverse sites. We paired the Cohort Marsh Equilibrium Model (CMEM) with a version of the PEPRMT model called PEPRMT‐Tidal, which considers the effects of water table height, sulfate, and nitrate availability on CO 2 and CH 4 emissions. Using a model‐data fusion approach, we parameterized the model with three sites and validated it with two independent sites, with representation from the three marine coasts of North America. Gross primary productivity (GPP) and ecosystem respiration (R eco ) modules explained, on average, 73% of the variation in CO 2 exchange with low model error (normalized root mean square error (nRMSE) <1). The CH 4 module also explained the majority of variance in CH 4 emissions in validation sites ( R 2 = 0.54; nRMSE = 1.15). The PEPRMT‐Tidal‐CMEM model coupling is a key advance toward constraining estimates of greenhouse gas emissions across diverse North American tidal wetlands. Further analyses of model error and case studies during changing salinity conditions guide future modeling efforts regarding four main processes: (a) the influence of salinity and nitrate on GPP, (b) the influence of laterally transported dissolved inorganic C on R eco , (c) heterogeneous sulfate availability and methylotrophic methanogenesis impacts on surface CH 4 emissions, and (d) CH 4 responses to non‐periodic changes in salinity.

Journal of Geophysical Research BiogeosciencesVol. 129(10)
Rutgers, The State University of New Jersey (US), Universitat Autònoma de Barcelona (ES), United States Geological Survey (US), Marine Biological Laboratory (US), North Carolina State University (US), University of British Columbia (CA), Pacific Northwest National Laboratory (US), University of Oregon (US), California State University, East Bay (US), University of Illinois Chicago (US), Earth System Science Interdisciplinary Center (US), U.S. Geological Survey, Wetland and Aquatic Research Center, McGill University (CA), Smithsonian Environmental Research Center (US), University of Maryland, College Park (US), University of Delaware (US), University of Toledo (US)
Biological and Environmental Research
Life below water
Openalex Percentile: Top 15%
Coastal wetland ecosystem dynamics
1.84
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