Abstract Tidal wetlands provide valuable ecosystem services, including storing large amounts of carbon. However, the net exchanges of carbon dioxide (CO2) and methane (CH4) 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 CO2and CH4flux 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 CO2and CH4emissions. 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 (Reco) modules explained, on average, 73% of the variation in CO2exchange with low model error (normalized root mean square error (nRMSE) <1). The CH4module also explained the majority of variance in CH4emissions in validation sites (R2 = 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 Reco, (c) heterogeneous sulfate availability and methylotrophic methanogenesis impacts on surface CH4emissions, and (d) CH4responses to non‐periodic changes in salinity.
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Vegetation and hydrology stratification as proxies to estimate methane emission from tidal marshes
Abstract Direct measurement of methane emissions is cost-prohibitive for greenhouse gas offset projects, necessitating the development of alternative accounting methods such as proxies. Salinity is a useful proxy for tidal marsh CH4emissions when comparing across a wide range of salinity regimes but does not adequately explain variation in brackish and freshwater regimes, where variation in emissions is large. We sought to improve upon the salinity proxy in a marsh complex on Deal Island Peninsula, Maryland, USA by comparing emissions from four strata differing in hydrology and plant community composition. Mean CH4chamber-collected emissions measured as mg CH4m−2 h−1ranked asS. alterniflora(1.2 ± 0.3) ≫ High-elevationJ. roemerianus(0.4 ± 0.06) > Low-elevationJ. roemerianus(0.3 ± 0.07) = S. patens(0.1 ± 0.01). Sulfate depletion generally reflected the same pattern with significantly greater depletion in theS. alterniflorastratum (61 ± 4%) than in theS. patensstratum (1 ± 9%) with theJ. roemerianusstrata falling in between. We attribute the high CH4emissions in theS. alterniflorastratum to sulfate depletion likely driven by limited connectivity to tidal waters. Low CH4emissions in theS. patensstratum are attributed to lower water levels, higher levels of ferric iron, and shallow rooting depth. Moderate CH4emissions from theJ. roemerianusstrata were likely due to plant traits that favor CH4oxidation over CH4production. Hydrology and plant community composition have significant potential as proxies to estimate CH4emissions at the site scale.
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- Award ID(s):
- 2051343
- PAR ID:
- 10361190
- Publisher / Repository:
- Springer Science + Business Media
- Date Published:
- Journal Name:
- Biogeochemistry
- Volume:
- 157
- Issue:
- 2
- ISSN:
- 0168-2563
- Page Range / eLocation ID:
- p. 227-243
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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