Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1111/gcb.14855 |
Simultaneous numerical representation of soil microsite production and consumption of carbon dioxide, methane, and nitrous oxide using probability distribution functions | |
Sihi, Debjani1; Davidson, Eric A.1; Savage, Kathleen E.2; Liang, Dong3 | |
2019-11-02 | |
发表期刊 | GLOBAL CHANGE BIOLOGY |
ISSN | 1354-1013 |
EISSN | 1365-2486 |
出版年 | 2019 |
文章类型 | Article;Early Access |
语种 | 英语 |
国家 | USA |
英文摘要 | Production and consumption of nitrous oxide (N2O), methane (CH4), and carbon dioxide (CO2) are affected by complex interactions of temperature, moisture, and substrate supply, which are further complicated by spatial heterogeneity of the soil matrix. This microsite heterogeneity is often invoked to explain non-normal distributions of greenhouse gas (GHG) fluxes, also known as hot spots and hot moments. To advance numerical simulation of these belowground processes, we expanded the Dual Arrhenius and Michaelis-Menten model, to apply it consistently for all three GHGs with respect to the biophysical processes of production, consumption, and diffusion within the soil, including the contrasting effects of oxygen (O-2) as substrate or inhibitor for each process. High-frequency chamber-based measurements of all three GHGs at the Howland Forest (ME, USA) were used to parameterize the model using a multiple constraint approach. The area under a soil chamber is partitioned according to a bivariate log-normal probability distribution function (PDF) of carbon and water content across a range of microsites, which leads to a PDF of heterotrophic respiration and O-2 consumption among microsites. Linking microsite consumption of O-2 with a diffusion model generates a broad range of microsite concentrations of O-2, which then determines the PDF of microsites that produce or consume CH4 and N2O, such that a range of microsites occurs with both positive and negative signs for net CH4 and N2O flux. Results demonstrate that it is numerically feasible for microsites of N2O reduction and CH4 oxidation to co-occur under a single chamber, thus explaining occasional measurement of simultaneous uptake of both gases. Simultaneous simulation of all three GHGs in a parsimonious modeling framework is challenging, but it increases confidence that agreement between simulations and measurements is based on skillful numerical representation of processes across a heterogeneous environment. |
英文关键词 | CH4 CO2 DAMM DAMM-GHG greenhouse gas N2O probability distribution function soil microsite |
领域 | 气候变化 ; 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000493883500001 |
WOS关键词 | HETEROTROPHIC RESPIRATION ; MICROBIAL PROCESSES ; PRACTICAL IDENTIFIABILITY ; TEMPERATURE RESPONSE ; SPATIAL VARIABILITY ; CONCEPTUAL-MODEL ; N2O PRODUCTION ; GAS EMISSIONS ; UPLAND SOILS ; TRACE GASES |
WOS类目 | Biodiversity Conservation ; Ecology ; Environmental Sciences |
WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/188207 |
专题 | 气候变化 资源环境科学 |
作者单位 | 1.Univ Maryland, Appalachian Lab, Ctr Environm Sci, Frostburg, MD USA; 2.Woods Hole Res Ctr, Falmouth, MA USA; 3.Univ Maryland, Chesapeake Biol Lab, Ctr Environm Sci, Solomons, MD USA |
推荐引用方式 GB/T 7714 | Sihi, Debjani,Davidson, Eric A.,Savage, Kathleen E.,et al. Simultaneous numerical representation of soil microsite production and consumption of carbon dioxide, methane, and nitrous oxide using probability distribution functions[J]. GLOBAL CHANGE BIOLOGY,2019. |
APA | Sihi, Debjani,Davidson, Eric A.,Savage, Kathleen E.,&Liang, Dong.(2019).Simultaneous numerical representation of soil microsite production and consumption of carbon dioxide, methane, and nitrous oxide using probability distribution functions.GLOBAL CHANGE BIOLOGY. |
MLA | Sihi, Debjani,et al."Simultaneous numerical representation of soil microsite production and consumption of carbon dioxide, methane, and nitrous oxide using probability distribution functions".GLOBAL CHANGE BIOLOGY (2019). |
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