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Yan et al. 2005
Yan, X., Ohara, T. and Akimoto, H. (2005). Statistical modeling of global soil NOx emissions. Global Biogeochemical Cycles 19: doi: 10.1029/2004GB002276. issn: 0886-6236.

On the basis of field measurements of NOx emissions from soils, we developed a statistical model to describe the influences of soil organic carbon (SOC) content, soil pH, land-cover type, climate, and nitrogen input on NOx emission. While also considering the effects of soil temperature, soil moisture change-induced pulse emission, and vegetation fire, we simulated NOx emissions from global soils at resolutions of 0.5¿ and 6 hours. Canopy reduction was included in both data processing and flux simulation. NOx emissions were positively correlated with SOC content and negatively correlated with soil pH. Soils in dry or temperate regions had higher NOx emission potentials than soils in cold or tropical regions. Needleleaf forest and agricultural soils had high NOx emissions. The annual NOx emission from global soils was calculated to be 7.43 Tg N, decreasing to 4.97 Tg N after canopy reduction. Global averages of nitrogen fertilizer--induced emission ratios were 1.16% above soil and 0.70% above canopy. Soil moisture change--induced pulse emission contributed about 4% to global annual NOx emission, and the effect of vegetation fire on soil NOx emission was negligible.

BACKGROUND DATA FILES

Abstract

Keywords
Biogeosciences, Data sets, Biogeosciences, Nitrogen cycling, Biogeosciences, Trace gases, Global Change, Land/atmosphere interactions (1218, 1843, 3322), Global Change, Biogeochemical cycles, processes, and modeling (0412, 0414, 0793, 4805, 4912), historical emissions, land use change, nitrogen input, nitrogen oxides, soils, statistical model
Journal
Global Biogeochemical Cycles
http://www.agu.org/journals/gb/
Publisher
American Geophysical Union
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