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DOI | 10.1029/2019MS001867 |
A Microbial Functional Group-Based CH4 Model Integrated Into a Terrestrial Ecosystem Model: Model Structure, Site-Level Evaluation, and Sensitivity Analysis | |
Song C.; Luan J.; Xu X.; Ma M.; Aurela M.; Lohila A.; Mammarella I.; Alekseychik P.; Tuittila E.-S.; Gong W.; Chen X.; Meng X.; Yuan W. | |
发表日期 | 2020 |
ISSN | 19422466 |
卷号 | 12期号:4 |
英文摘要 | Wetlands are one of the most important terrestrial ecosystems for land-atmosphere CH4 exchange. A new process-based, biophysical model to quantify CH4 emissions from natural wetlands was developed and integrated into a terrestrial ecosystem model (Integrated Biosphere Simulator). The new model represents a multisubstance system (CH4, O2, CO2, and H2) and describes CH4 production, oxidation, and three transport processes (diffusion, plant-mediated transport, and ebullition). The new model uses several critical microbial mechanisms to represent the interaction of anaerobic fermenters and homoacetogens, hydrogenotrophic, and acetoclastic methanogens, and methanotrophs in CH4 production and oxidation. We applied the model to 24 different wetlands globally to compare the simulated CH4 emissions to observations and conducted a sensitivity analysis. The results indicated that (1) for most sites, the model was able to capture the magnitude and variation of observed CH4 emissions under varying environmental conditions; (2) the parameters that regulate dissolved organic carbon and acetate production, and acetoclastic methanogenesis had the significant impact on simulated CH4 emissions; (3) the representation of the process components of CH4 cycling showed that CH4 oxidation was about half or more of CH4 production, and plant-mediated transport was the dominant pathway at most sites; and (4) the seasonality of simulated CH4 emissions can be controlled by soil temperature, water table position, or combinations thereof. ©2020. The Authors. |
语种 | 英语 |
scopus关键词 | Ecosystems; Groundwater; Organic carbon; Oxidation; Wetlands; Acetoclastic methanogens; Biophysical model; Dissolved organic carbon; Environmental conditions; Integrated biosphere simulators; Process component; Terrestrial ecosystems; Transport process; Sensitivity analysis; ecosystem modeling; functional group; land-atmosphere interaction; methane; methanogenesis; microbial activity; sensitivity analysis; terrestrial ecosystem; wetland |
来源期刊 | Journal of Advances in Modeling Earth Systems
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/156728 |
作者单位 | State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China; University of Chinese Academy of Sciences, Beijing, China; International Center for Bamboo and Rattan, Beijing, China; Department of Biology, San Diego State University, San Diego, CA, United States; Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, China; Southern Laboratory of Ocean Science and Engineering, Zhuhai, China; Finnish Meteorological Institute, Helsinki, Finland; Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland; School of Forest Sciences, University of Eastern Finland, Joensuu, Finland; Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing, China; Key Laboratory of Land Surface Process and Climate Change in ... |
推荐引用方式 GB/T 7714 | Song C.,Luan J.,Xu X.,et al. A Microbial Functional Group-Based CH4 Model Integrated Into a Terrestrial Ecosystem Model: Model Structure, Site-Level Evaluation, and Sensitivity Analysis[J],2020,12(4). |
APA | Song C..,Luan J..,Xu X..,Ma M..,Aurela M..,...&Yuan W..(2020).A Microbial Functional Group-Based CH4 Model Integrated Into a Terrestrial Ecosystem Model: Model Structure, Site-Level Evaluation, and Sensitivity Analysis.Journal of Advances in Modeling Earth Systems,12(4). |
MLA | Song C.,et al."A Microbial Functional Group-Based CH4 Model Integrated Into a Terrestrial Ecosystem Model: Model Structure, Site-Level Evaluation, and Sensitivity Analysis".Journal of Advances in Modeling Earth Systems 12.4(2020). |
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