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Spatial variability of nitrous oxide emissions and their soil-related determining factors in an agricultural field.

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Title: Spatial variability of nitrous oxide emissions and their soil-related determining factors in an agricultural field.
Authors: Yanai, Junta Browse this author
Sawamoto, Takuji Browse this author
Oe, Taku Browse this author
Kusa, Kanako Browse this author
Yamakawa, Keisuke Browse this author
Sakamoto, Kazunori Browse this author
Naganawa, Takahiko Browse this author
Inubushi, Kazuyuki Browse this author
Hatano, Ryusuke Browse this author
Kosaki, Takashi Browse this author
Issue Date: 2003
Publisher: The American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America
Journal Title: Journal of Environmental Quality
Volume: 32
Issue: 6
Start Page: 1965
End Page: 1977
PMID: 14674518
Abstract: To evaluate spatial variability of nitrous oxide (N2O) emissions and to elucidate their determining factors on a field-scale basis, N2O fluxes and various soil properties were evaluated in a 100- x 100-m onion (Allium cepa L.) field. Nitrous oxide fluxes were determined by a closed chamber method from the one-hundred 10- x 10-m plots. Physical (e.g., bulk density and water content), chemical (e.g., total N and pH), and biological (e.g., microbial biomass C and N) properties were determined from surface soil samples (0–0.1 m) of each plot. Geostatistical analysis was performed to examine spatial variability of both N2O fluxes and soil properties. Multivariate analysis was also conducted to elucidate relationships between soil properties and observed fluxes. Nitrous oxide fluxes were highly variable (average 331 µg N m-2 h-1, CV 217%) and were log–normally distributed. Log-transformed N2O fluxes had moderate spatial dependence with a range of >75 m. High N2O fluxes were observed at sites with relatively low elevation. Multivariate analysis indicated that an organic matter factor and a pH factor of the principal component analysis were the main soil-related determining factors of log-transformed N2O fluxes. By combining multivariate analysis with geostatistics, a map of predicted N2O fluxes closely matched the spatial pattern of measured fluxes. The regression equation based on the soil properties explained 56% of the spatially structured variation of the log-transformed N2O fluxes. Site-specific management to regulate organic matter content and water status of a soil could be a promising means of reducing N2O emissions from agricultural fields.
Rights: From Journal of Environmental Quality, with permission, J. Environ. Qual. Vol. 32, pp. 1965-1977, 2003
Type: article
URI: http://hdl.handle.net/2115/27981
Appears in Collections:農学院・農学研究院 (Graduate School of Agriculture / Faculty of Agriculture) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 波多野 隆介

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