Arid
DOI10.5194/gmd-11-2009-2018
Soil Methanotrophy Model (MeMo v1.0): a process-based model to quantify global uptake of atmospheric methane by soil
Murguia-Flores, Fabiola1; Arndt, Sandra1,4; Ganesan, Anita L.1; Murray-Tortarolo, Guillermo2; Hornibrook, Edward R. C.3,5
通讯作者Murguia-Flores, Fabiola
来源期刊GEOSCIENTIFIC MODEL DEVELOPMENT
ISSN1991-959X
EISSN1991-9603
出版年2018
卷号11期号:6页码:2009-2032
英文摘要

Soil bacteria known as methanotrophs are the sole biological sink for atmospheric methane (CH4), a potent greenhouse gas that is responsible for similar to 20% of the human-driven increase in radiative forcing since pre-industrial times. Soil methanotrophy is controlled by a plethora of factors, including temperature, soil texture, moisture and nitrogen content, resulting in spatially and temporally heterogeneous rates of soil methanotrophy. As a consequence, the exact magnitude of the global soil sink, as well as its temporal and spatial variability, remains poorly constrained. We developed a process-based model (Methanotrophy Model; MeMo v1.0) to simulate and quantify the uptake of atmospheric CH4 by soils at the global scale. MeMo builds on previous models by Ridgwell et al. (1999) and Curry (2007) by introducing several advances, including (1) a general analytical solution of the one-dimensional diffusion-reaction equation in porous media, (2) a refined representation of nitrogen inhibition on soil methanotrophy, (3) updated factors governing the influence of soil moisture and temperature on CH4 oxidation rates and (4) the ability to evaluate the impact of autochthonous soil CH4 sources on uptake of atmospheric CH4. We show that the improved structural and parametric representation of key drivers of soil methanotrophy in MeMo results in a better fit to observational data. A global simulation of soil methanotrophy for the period 1990-2009 using MeMo yielded an average annual sink of 33.5 +/- 0.6 TgCH(4) yr(-1). Warm and semi-arid regions (tropical deciduous forest and open shrubland) had the highest CH4 uptake rates of 602 and 518 mg CH4 m(-2) yr(-1), respectively. In these regions, favourable annual soil moisture content (similar to 20% saturation) and low seasonal temperature variations (variations < similar to 6 degrees C) provided optimal conditions for soil methanotrophy and soil-atmosphere gas exchange. In contrast to previous model analyses, but in agreement with recent observational data, MeMo predicted low fluxes in wet tropical regions because of refinements in formulation of the influence of excess soil moisture on methanotrophy. Tundra and mixed forest had the lowest simulated CH4 uptake rates of 176 and 182 mg CH4 m(-2) yr(-1), respectively, due to their marked seasonality driven by temperature. Global soil uptake of atmospheric CH4 was decreased by 4% by the effect of nitrogen inputs to the system; however, the direct addition of fertilizers attenuated the flux by 72% in regions with high agricultural intensity (i.e. China, India and Europe) and by 4-10% in agriculture areas receiving low rates of N input (e.g. South America). Globally, nitrogen inputs reduced soil uptake of atmospheric CH4 by 1.38 Tg yr(-1), which is 25 times smaller than reported previously. In addition to improved characterization of the contemporary soil sink for atmospheric CH4, MeMo provides an opportunity to quantify more accurately the relative importance of soil methanotrophy in the global CH4 cycle in the past and its capacity to contribute to reduction of atmospheric CH4 levels under future global change scenarios.


类型Article
语种英语
国家England ; Mexico ; Belgium ; Canada
收录类别SCI-E
WOS记录号WOS:000434035200001
WOS关键词COLORADO SHORTGRASS STEPPE ; CH4 OXIDATION ; FOREST SOILS ; SULFUR DEPOSITION ; MOISTURE-CONTENT ; NITROGEN ; CONSUMPTION ; TEMPERATURE ; FLUXES ; WATER
WOS类目Geosciences, Multidisciplinary
WOS研究方向Geology
来源机构Universidad Nacional Autónoma de México
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/209718
作者单位1.Univ Bristol, Sch Geog Sci, Bristol BS8 1SS, Avon, England;
2.Univ Nacl Autonoma Mexico, CONACyT, Inst Invest Ecosistemas & Sustentabilidad, Morelia, Michoacan, Mexico;
3.Univ Bristol, Sch Earth Sci, Bristol BS8 1RJ, Avon, England;
4.Univ Libre Bruxelles, Dept Geosci Environm & Soc, Brussels, Belgium;
5.Univ British Columbia, Earth Environm & Geog Sci, Okanagan Campus, Kelowna, BC V1V 1V7, Canada
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Murguia-Flores, Fabiola,Arndt, Sandra,Ganesan, Anita L.,et al. Soil Methanotrophy Model (MeMo v1.0): a process-based model to quantify global uptake of atmospheric methane by soil[J]. Universidad Nacional Autónoma de México,2018,11(6):2009-2032.
APA Murguia-Flores, Fabiola,Arndt, Sandra,Ganesan, Anita L.,Murray-Tortarolo, Guillermo,&Hornibrook, Edward R. C..(2018).Soil Methanotrophy Model (MeMo v1.0): a process-based model to quantify global uptake of atmospheric methane by soil.GEOSCIENTIFIC MODEL DEVELOPMENT,11(6),2009-2032.
MLA Murguia-Flores, Fabiola,et al."Soil Methanotrophy Model (MeMo v1.0): a process-based model to quantify global uptake of atmospheric methane by soil".GEOSCIENTIFIC MODEL DEVELOPMENT 11.6(2018):2009-2032.
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