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dc.contributor.authorHolmquist, James R.  Concept link
dc.contributor.authorWindham-Myers, Lisamarie  Concept link
dc.contributor.authorBernal, Blanca  Concept link
dc.contributor.authorByrd, Kristin B.  Concept link
dc.contributor.authorCrooks, Stephen  Concept link
dc.contributor.authorGonneea, Meagan E.  Concept link
dc.contributor.authorHerold, Nate  Concept link
dc.contributor.authorKnox, Sara H.  Concept link
dc.contributor.authorKroeger, Kevin D.  Concept link
dc.contributor.authorMcCombs, John  Concept link
dc.contributor.authorMegonigal, J. Patrick  Concept link
dc.contributor.authorLu, Meng  Concept link
dc.contributor.authorMorris, James T.  Concept link
dc.contributor.authorSutton-Grier, Ariana E.  Concept link
dc.contributor.authorTroxler, Tiffany G.  Concept link
dc.date.accessioned2018-11-29T17:52:24Z
dc.date.available2018-11-29T17:52:24Z
dc.date.issued2018-11-12
dc.identifier.citationEnvironmental Research Letters 13 (2018): 115005en_US
dc.identifier.urihttps://hdl.handle.net/1912/10740.1
dc.description© The Author(s), 2018. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Environmental Research Letters 13 (2018): 115005, doi:10.1088/1748-9326/aae157.en_US
dc.description.abstractCoastal 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.en_US
dc.description.sponsorshipFinancial support was provided primarily by NASA Carbon Monitoring Systems (NNH14AY67I) and the USGS Land Carbon Program, with additional support from The Smithsonian Institution, The Coastal Carbon Research Coordination Network (DEB-1655622), and NOAA Grant: NA16NMF4630103.en_US
dc.language.isoen_USen_US
dc.publisherIOP Scienceen_US
dc.relation.hasparthttps://doi.org/10.3334/ORNLDAAC/1650
dc.relation.urihttps://doi.org/10.1088/1748-9326/aae157
dc.rightsAttribution 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/
dc.subjectCoastal wetlanden_US
dc.subjectCarbon cycleen_US
dc.subjectTidal wetlanden_US
dc.subjectSaltmarshen_US
dc.subjectMangroveen_US
dc.subjectTidal freshwater foresten_US
dc.subjectGreenhouse gas inventoryen_US
dc.titleUncertainty in United States coastal wetland greenhouse gas inventoryingen_US
dc.typeArticleen_US
dc.identifier.doi10.1088/1748-9326/aae157


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