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Uncertainty in United States coastal wetland greenhouse gas inventorying

Bibliographic Data

ID15548606
AuthorsJames R Holmquist (0000-0003-2546-6766, Smithsonian Environmental Research Center), Lisamarie Windham‐Myers (0000-0003-0281-9581, United States Geological Survey, corresponding author), Blanca Bernal (0000-0002-4879-8387, Winrock International (United States)), Kristin B Byrd (0000-0002-5725-7486, United States Geological Survey, corresponding author), Steve Crooks (Silvestrum Climate Associates, corresponding author), Marc Eagle (0000-0001-5072-2755, United States Geological Survey, corresponding author), Nate Herold (NOAA Office for Coastal Management, corresponding author), Sara Knox (0000-0002-8238-6765, corresponding author), Sara H Knox (0000-0003-2255-5835, Stanford University, corresponding author), Kevin D Kroeger (0000-0002-4272-2349, United States Geological Survey, corresponding author), John W McCombs (NOAA Office for Coastal Management), John McCombs, J Patrick Megonigal (0000-0002-2018-7883, Smithsonian Environmental Research Center), Meng Lü (0000-0002-6850-581X, Yunnan University), James T Morris (0000-0002-0511-642X, Baruch College, corresponding author), Ariana E Sutton‐Grier (0000-0002-1242-7728, The Nature Conservancy, corresponding author), Tiffany G Troxler (0000-0001-7100-7742, Florida International University, corresponding author), Donald E Weller (0000-0002-7629-5437, Smithsonian Environmental Research Center)
Year2018
Volume13
Issue11
Pages115005-115005
Publication date2018-09-14
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/aae157
OpenAlexW2890606301
LanguageEN
Citations received4
References cited60

Coastal wetlands store carbon dioxide (CO2) and emit CO2 and methane (CH4) making them an important part of greenhouse gas (GHG) inventorying. In the contiguous United States (CONUS), a coastal wetland inventory was recently calculated by combining maps of wetland type and change with soil, biomass, and CH4 flux data from a literature review. We assess uncertainty in this developing carbon monitoring system to quantify confidence in the inventory process itself and to prioritize future research. We provide a value-added analysis by defining types and scales of uncertainty for assumptions, burial and emissions datasets, and wetland maps, simulating 10 000 iterations of a simplified version of the inventory, and performing a sensitivity analysis. Coastal wetlands were likely a source of net-CO2-equivalent (CO2e) emissions from 2006–2011. Although stable estuarine wetlands were likely a CO2e sink, this effect was counteracted by catastrophic soil losses in the Gulf Coast, and CH4 emissions from tidal freshwater wetlands. The direction and magnitude of total CONUS CO2e flux were most sensitive to uncertainty in emissions and burial data, and assumptions about how to calculate the inventory. Critical data uncertainties included CH4 emissions for stable freshwater wetlands and carbon burial rates for all coastal wetlands. Critical assumptions included the average depth of soil affected by erosion events, the method used to convert CH4 fluxes to CO2e, and the fraction of carbon lost to the atmosphere following an erosion event. The inventory was relatively insensitive to mapping uncertainties. Future versions could be improved by collecting additional data, especially the depth affected by loss events, and by better mapping salinity and inundation gradients relevant to key GHG fluxes. Social Media Abstract: US coastal wetlands were a recent and uncertain source of greenhouse gasses because of CH4 and erosion

Biomass (ecology · Carbon cycle · Carbon dioxide · Carbon sequestration · Carbon sink · Climate change · Ecosystem · Flux (metallurgy · Geography · Greenhouse gas · Hydrology (agriculture · Sink (geography · Wetland · Coastal wetland ecosystem dynamics · Environmental Science · Fire effects on ecosystems · Peatlands and Wetlands Ecology · Ecology · Geology · Oceanography

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Citations per year0.67
Citation span2020 - 2022 (3)
Highly citedNo

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