B038-0013
United States Methane Budget from Tidal Wetlands: Developing an Open-source Database of Methane Measurements and Process-based Models
United States Methane Budget from Tidal Wetlands: Developing an Open-source Database of Methane Measurements and Process-based Models
Wednesday, 9 December 2020
Poster
Abstract:
Tidal wetlands are biogeochemical reactors where carbon is transformed at the interface of land, ocean, and atmosphere. In this context, methane (CH4) emissions are complex and have a wide range in magnitude, which result in budgets from these ecosystems being poorly constrained. The Coastal Carbon Research Coordination Network (CCRCN) Methane Working Group is focused on establishing an open-source database and a synthesis of CH4 measurements from tidal wetlands across the continental United States to improve our process based understanding of CH4 fluxes. This includes eddy covariance and chamber-based flux measurements along with ancillary environmental covariates such as salinity, water table, inundation time, vegetation cover, soil carbon and porewater electron acceptors. Over 76 sites are being included in the database covering tidal wetlands of the Gulf of Mexico, Atlantic and Pacific coasts ranging from 0.2 ppt to 34 ppt salinity, with annual CH4 budgets from -5 to 160 g CH4-C m-2 yr-1. We are using this database to establish quantitative relationships for scaling‐up and to train and test a set of process-based models that are being modified from the Marsh Equilibrium Model (MEM), the Peatland Ecosystem Respiration and Methane Transport (PEPRMT) model and the Dual Arrhenius and Michaelis-Menten Greenhouse Gas (DAMM-GHG) model. Preliminary results developed and tested in a brackish tidal marsh in the San Francisco Bay-Delta region show modelling ability to capture interannual variability in CH4 budgets (cumulative 4-yr observed: 3.37g CH4-C and cumulative 4-yr modeled: 3.04g CH4-C 4yrs-1). After parameterization and validation using the database, we plan to use our models to provide a CH4 budget for tidal wetlands across the United States and to identify main sources of error in CH4 budgets and the data streams that are needed to improve predictions. Our work so far highlights the importance of salinity and water table height, which are variables not often reported within open databases such as the Ameriflux Network but that are critical to improving CH4 budgets. We acknowledge the CCRCN data contributors for the data provided.