globalchange  > 气候减缓与适应
DOI: 10.1029/2018JG004556
Scopus记录号: 2-s2.0-85051053196
论文题名:
Environmental Controls, Emergent Scaling, and Predictions of Greenhouse Gas (GHG) Fluxes in Coastal Salt Marshes
作者: Abdul-Aziz O.I.; Ishtiaq K.S.; Tang J.; Moseman-Valtierra S.; Kroeger K.D.; Gonneea M.E.; Mora J.; Morkeski K.
刊名: Journal of Geophysical Research: Biogeosciences
ISSN: 21698953
出版年: 2018
卷: 123, 期:7
起始页码: 2234
结束页码: 2256
语种: 英语
英文关键词: coastal salt marshes ; emergent scaling ; environmental controls ; GHG fluxes ; modeling and predictions
英文摘要: 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 and CH4 fluxes, photosynthetically active radiation (PAR), air and soil temperatures, well water level, soil moisture, and porewater pH and salinity were measured during May–October 2013 from four marshes in Waquoit Bay and adjacent estuaries, MA, USA. The salt marshes exhibited high CO2 uptake and low CH4 emission, which did not significantly vary with the nitrogen loading gradient (5–126 kg · ha−1 · year−1) among the salt marshes. Soil temperature was the strongest driver of both fluxes, representing 2 and 4–5 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-based parsimonious scaling models to accurately predict the salt marsh GHG fluxes from PAR, soil temperature, and salinity (Nash-Sutcliffe Efficiency = 0.80–0.91). The scaling models are available as a user-friendly Excel spreadsheet named Coastal Wetland GHG Model to explore scenarios of GHG fluxes in tidal marshes under a changing climate and environment. ©2018. American Geophysical Union. All Rights Reserved.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/113582
Appears in Collections:气候减缓与适应

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作者单位: Ecological and Water Resources Engineering Laboratory (EWREL), Department of Civil and Environmental Engineering, West Virginia University, Morgantown, WV, United States; The Ecosystems Center, Marine Biological Laboratory, Woods Hole, MA, United States; Department of Biological Sciences, University of Rhode Island, Kingston, RI, United States; Woods Hole Coastal and Marine Science Center, U.S. Geological Survey, Woods Hole, MA, United States; Waquoit Bay National Estuarine Research Reserve, Waquoit, MA, United States; Department of Marine Chemistry and Geochemistry, Woods Hole Oceanographic Institution, Woods Hole, MA, United States

Recommended Citation:
Abdul-Aziz O.I.,Ishtiaq K.S.,Tang J.,et al. Environmental Controls, Emergent Scaling, and Predictions of Greenhouse Gas (GHG) Fluxes in Coastal Salt Marshes[J]. Journal of Geophysical Research: Biogeosciences,2018-01-01,123(7)
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