Evaluating alternative ebullition models for predicting peatland methane emission and its pathways via data-model fusion
文献类型：期刊论文
| 作者 | Ma, Shuang1,13,14; Jiang, Lifen14; Wilson, Rachel M.2; Chanton, Jeff P.2; Bridgham, Scott3; Niu, Shuli4; Iversen, Colleen M.5,6; Malhotra, Avni5,6,12; Jiang, Jiang7; Lu, Xingjie8 |
| 刊名 | BIOGEOSCIENCES
 |
| 出版日期 | 2022-04-27 |
| 卷号 | 19期号:8页码:2245-2262 |
| ISSN号 | 1726-4170 |
| DOI | 10.5194/bg-19-2245-2022 |
| 通讯作者 | Luo, Yiqi(yiqi.luo@nau.edu) |
| 英文摘要 | Understanding the dynamics of peatland methane (CH4) emissions and quantifying sources of uncertainty in estimating peatland CH4 emissions are critical for mitigating climate change. The relative contributions of CH4 emission pathways through ebullition, plant-mediated transport, and diffusion, together with their different transport rates and vulnerability to oxidation, determine the quantity of CH4 to be oxidized before leaving the soil. Notwithstanding their importance, the relative contributions of the emission pathways are highly uncertain. In particular, the ebullition process is more uncertain and can lead to large uncertainties in modeled CH4 emissions. To improve model simulations of CH4 emission and its pathways, we evaluated two model structures: (1) the ebullition bubble growth volume threshold approach (EBG) and (2) the modified ebullition concentration threshold approach (ECT) using CH4 flux and concentration data collected in a peatland in northern Minnesota, USA. When model parameters were constrained using observed CH(4 )fluxes, the CH4 emissions simulated by the EBG approach (RMSE = 0.53) had a better agreement with observations than the ECT approach (RMSE = 0.61). Further, the EBG approach simulated a smaller contribution from ebullition but more frequent ebullition events than the ECT approach. The EBG approach yielded greatly improved simulations of pore water CH4 concentrations, especially in the deep soil layers, compared to the ECT approach. When constraining the EBG model with both CH4 flux and concentration data in model-data fusion, uncertainty of the modeled CH4 concentration profiles was reduced by 78 % to 86 % in comparison to constraints based on CH4 flux data alone. The improved model capability was attributed to the well-constrained parameters regulating the CH4 production and emission pathways. Our results suggest that the EBG modeling approach better characterizes CH4 emission and underlying mechanisms. Moreover, to achieve the best model results both CH4 flux and concentration data are required to constrain model parameterization. |
| WOS关键词 | NATURAL WETLANDS ; ELEVATED CO2 ; MINNESOTA PEATLAND ; VASCULAR PLANTS ; CARBON-CYCLE ; CH4 EMISSION ; OXIDATION ; FLUXES ; DYNAMICS ; PROJECT |
| 资助项目 | Oak Ridge National Laboratory[4000158404] ; U.S. Department of Energy[DE-AC05-00OR22725] ; Biological and Environmental Research program in the U.S. Department of Energy's Office of Science |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology |
| 语种 | 英语 |
| 出版者 | COPERNICUS GESELLSCHAFT MBH |
| WOS记录号 | WOS:000787845700001 |
| 资助机构 | Oak Ridge National Laboratory ; U.S. Department of Energy ; Biological and Environmental Research program in the U.S. Department of Energy's Office of Science |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/175345]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Luo, Yiqi |
| 作者单位 | 1.CALTECH, Jet Prop Lab, Pasadena, CA USA 2.Florida State Univ, Earth Ocean & Atmospher Sci, Tallahassee, FL USA 3.Univ Oregon, Inst Ecol & Evolut, Eugene, OR USA 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China 5.Oak Ridge Natl Lab, Div Environm Sci, POB 2008, Oak Ridge, TN 37831 USA 6.Oak Ridge Natl Lab, Climate Change Sci Inst, Oak Ridge, TN USA 7.Nanjing Forestry Univ, Dept Soil & Water Conservat, Nanjing, Jiangsu, Peoples R China 8.Sun Yat Sen Univ, Sch Atmospher Sci, Guangzhou, Guangdong, Peoples R China 9.CSIRO, Oceans & Atmosphere, Aspendale, Vic, Australia 10.Chapman Univ, Schmid Coll Sci & Technol, Orange, CA USA |
| 推荐引用方式 GB/T 7714 | Ma, Shuang,Jiang, Lifen,Wilson, Rachel M.,et al. Evaluating alternative ebullition models for predicting peatland methane emission and its pathways via data-model fusion[J]. BIOGEOSCIENCES,2022,19(8):2245-2262. |
| APA | Ma, Shuang.,Jiang, Lifen.,Wilson, Rachel M..,Chanton, Jeff P..,Bridgham, Scott.,...&Luo, Yiqi.(2022).Evaluating alternative ebullition models for predicting peatland methane emission and its pathways via data-model fusion.BIOGEOSCIENCES,19(8),2245-2262. |
| MLA | Ma, Shuang,et al."Evaluating alternative ebullition models for predicting peatland methane emission and its pathways via data-model fusion".BIOGEOSCIENCES 19.8(2022):2245-2262. |
入库方式： OAI收割
来源：地理科学与资源研究所
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