Item talk:Q314197
From geokb
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"name": "Environmental controls, emergent scaling, and predictions of greenhouse gas (GHG) fluxes in coastal salt marshes",
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"value": "10.1029/2018JG004556",
"url": "https://doi.org/10.1029/2018JG004556"
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"journal": {
"@type": "Periodical",
"name": "Journal of Geophysical Research G: Biogeosciences",
"volumeNumber": "123",
"issueNumber": "7"
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"datePublished": "2018",
"dateModified": "2018-11-14",
"abstract": "Coastal salt marshes play an important role in mitigating global warming by removing atmospheric carbon at a high rate. We investigated the environmental controls and emergent scaling of major greenhouse gas (GHG) fluxes such as carbon dioxide (CO2) and methane (CH4) in coastal salt marshes by conducting data analytics and empirical modeling. The underlying hypothesis is that the salt marsh GHG fluxes follow emergent scaling relationships with their environmental drivers, leading to parsimonious predictive models. CO2\u00a0and CH4\u00a0fluxes, photosynthetically active radiation (PAR), air and soil temperatures, well water level, soil moisture, and porewater pH and salinity were measured during May\u2013October 2013 from four marshes in Waquoit Bay and adjacent estuaries, MA, USA. The salt marshes exhibited high CO2\u00a0uptake and low CH4\u00a0emission, which did not significantly vary with the nitrogen loading gradient (5\u2013126\u00a0kg\u2009\u00b7\u2009ha\u22121\u2009\u00b7\u2009year\u22121) among the salt marshes. Soil temperature was the strongest driver of both fluxes, representing 2 and 4\u20135 times higher influence than PAR and salinity, respectively. Well water level, soil moisture, and pH did not have a predictive control on the GHG fluxes, although both fluxes were significantly higher during high tides than low tides. The results were leveraged to develop emergent power law\u2010based parsimonious scaling models to accurately predict the salt marsh GHG fluxes from PAR, soil temperature, and salinity (Nash\u2010Sutcliffe Efficiency\u00a0=\u00a00.80\u20130.91). The scaling models are available as a user\u2010friendly Excel spreadsheet named Coastal Wetland GHG Model to explore scenarios of GHG fluxes in tidal marshes under a changing climate and environment.",
"description": "23 p.",
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"name": "AGU"
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"author": [
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"name": "Mora, Jordan",
"givenName": "Jordan",
"familyName": "Mora",
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"name": "Waquoit Bay National Estuarine Research Reserve, Waquoit, Mass"
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{
"@type": "Person",
"name": "Morkeski, Kate",
"givenName": "Kate",
"familyName": "Morkeski",
"affiliation": [
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"@type": "Organization",
"name": "Marine Chemistry and Geochemistry, Woods Hole Oceanographic Institution, 266 Woods Hole Road, Woods Hole, MA 02543, USA"
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"name": "Abdul-Aziz, Omar I.",
"givenName": "Omar I.",
"familyName": "Abdul-Aziz"
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"name": "Ishitaq, Khandker S.",
"givenName": "Khandker S.",
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"name": "Ecological and Water Resources Engineering Laboratory (EWREL), Department of Civil and Environmental Engineering, West Virginia University, 395 Evansdale Drive, PO Box 6103, Morgantown, WV 26506,"
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"name": "Tang, Jianwu",
"givenName": "Jianwu",
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"name": "The Ecosystems Center, Marine Biological Laboratory. Woods Hole, MA 02543."
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"name": "Moseman-Valtierra, Serena",
"givenName": "Serena",
"familyName": "Moseman-Valtierra",
"affiliation": [
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"name": "University of Rhode Island, Kingston, RI"
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"@type": "Person",
"name": "Kroeger, Kevin D. kkroeger@usgs.gov",
"givenName": "Kevin D.",
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"name": "Coastal and Marine Hazards and Resources Program",
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"name": "Gonneea Eagle, Meagan mgonneea@usgs.gov",
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"name": "Woods Hole Coastal and Marine Science Center",
"url": "https://www.usgs.gov/centers/woods-hole-coastal-and-marine-science-center"
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