334-23 Development of N2o Empirical Model Linking Decomposed CO2 and N Inputs for Estimating Annual N2o Emission from Agricultural Soils in Japan.

Poster Number 1629

See more from this Division: SSSA Division: Soils & Environmental Quality
See more from this Session: Soils and Environmental Quality
Tuesday, November 4, 2014
Long Beach Convention Center, Exhibit Hall ABC
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Ayaka W. Kishimoto-Mo1, Yasuhito Shirato2, Noriko Oura3, Tomohito Sano4, Shigeto Sudo5 and Shinichiro Mishima2, (1)National Institute for Agro-Environmental Sciences (NIAES), Tsukuba, Japan
(2)National Institute for Agro-Environmental Sciences, Tsukuba, Japan
(3)National Institute for Agro-Environmental Sciences, Tsukuba, JAPAN
(4)National Institute for Agro-Environmental Science (NIAES), Japan, Tsukuba City, Japan
(5)National Institute for Agro-Environmental Science (NIAES), Japan, Tsukuba, Japan
Mitigation of greenhouse gas (GHG) emissions in agricultural sector could be achieved through improved management practices. Uncertainty about the complex biological and ecological processes involved in GHG emissions and carbon storage in agricultural soils, currently limits our ability to evaluate the persistence of mitigation practices. Particularly, N2O emission from soils is of small magnitude and highly variable in space and time, and is thus very difficult to estimate. In the meanwhile, due to the limitation of activity data (e.g. types and amounts of chemical fertilizer, composts and manures), to estimate N2O emission at a country scale warrant the development of N2O model for easy estimating annual N2O emission under variable managements with satisfied accuracy. In contrast to N2O emission, CO2 from the decomposition of soil organic matter is controlled primarily by soil temperature and moisture. An empirical model using soil C/N ratio and decomposed CO2 to estimate annual or seasonal N2O emission from upland crop fields has been developed (Mu et al., 2009). In this study, to verify this model we further collected peer-reviewed published datasets of N2O and CO2 emission from different N application rates with different soil types and land use categories in Japan and outside Japan. Especial emphasis was given on the performance of model predicting N2O emission from Andisols versus non-Andisols. Furthermore, we combine the Roth-C model to this N2O empirical model to predict annual N2O emission and validate the results using field data from 10 sites (Andisols and non-Andisols) which only measured N2O emission, and found that this approach is available for estimating annual N2O emissions. Using this approach we estimated annual direct N2O emission from agricultural soils in a region area from 1970 to 2020 and compared with IPCC Tier2 method. Our results showed that this approach can be used for the inventories of N2O emission from agricultural soils in Japan.
See more from this Division: SSSA Division: Soils & Environmental Quality
See more from this Session: Soils and Environmental Quality