TY - JOUR
T1 - Distinct driving mechanisms of non-growing season N2O emissions call for spatial-specific mitigation strategies in the US Midwest
AU - Yang, Yufeng
AU - Liu, Licheng
AU - Zhou, Wang
AU - Guan, Kaiyu
AU - Tang, Jinyun
AU - Kim, Taegon
AU - Grant, Robert F.
AU - Peng, Bin
AU - Zhu, Peng
AU - Li, Ziyi
AU - Griffis, Timothy J.
AU - Jin, Zhenong
N1 - Funding Information:
We thank Dr. Emerson D. Nafziger, Dr. Rodney T Venterea, and Dr. Tony J Vyn for providing data used for the model validations in this study. This research was funded in part by the National Science Foundation SitS program (award no. 2034385 ) and the Advanced Research Projects Agency–Energy (ARPA-E), US Department of Energy, under award number DE-AR0001382 .
Publisher Copyright:
© 2022
PY - 2022/9/15
Y1 - 2022/9/15
N2 - Agricultural N2O emission is a growing concern for climate change. Recent field evidence suggests that non-growing seasons (NGS) may contribute one-third to half of the annual N2O emissions, but implications on management adaptations remain unclear. Here we used an advanced process-based model, ecosys, to investigate the magnitude and drivers of NGS N2O emissions from the US Midwest. Results showed that simulated NGS N2O emissions accounted for 6–60% of the annual fluxes under continuous corn systems, peaking in counties with NGS precipitation (PNGS) around 300 mm. Divergent patterns of spatial-temporal correlations between NGS N2O emissions and environmental variables were shown in the southeast (PNGS > 300 mm) and the northwest (PNGS < 300 mm) of the study area by simulations. Causal analysis indicates that more intensive freezing caused by decreased air temperature (Ta) is the dominant driver that leads to NGS N2O emissions increasing within the southeast of the study area, while increased PNGS and increased Ta cooperatively result in soil moisture decreasing at soil thaws that enhances NGS N2O production within the northwest of the study area. Scenario simulations suggest that annual N2O emissions in the US Midwest are likely to reduce under climate change primarily due to the reduction of NGS N2O emissions. Our estimates on monetized social benefits inform the necessity to implement spatial-specific mitigation strategies, i.e. determining fertilizer timing and use of nitrification inhibitors (NI). Spring fertilizer application is more beneficial than fall fertilizer application for most counties, however, the latter can bring extra benefits to some counties in the west of the study area. Introducing NI with either spring or fall applications can greatly increase social benefits by reducing N2O emissions and N leaching. This study addresses possibly effective adaptations by providing seasonal- and spatial-explicit mitigation potentials.
AB - Agricultural N2O emission is a growing concern for climate change. Recent field evidence suggests that non-growing seasons (NGS) may contribute one-third to half of the annual N2O emissions, but implications on management adaptations remain unclear. Here we used an advanced process-based model, ecosys, to investigate the magnitude and drivers of NGS N2O emissions from the US Midwest. Results showed that simulated NGS N2O emissions accounted for 6–60% of the annual fluxes under continuous corn systems, peaking in counties with NGS precipitation (PNGS) around 300 mm. Divergent patterns of spatial-temporal correlations between NGS N2O emissions and environmental variables were shown in the southeast (PNGS > 300 mm) and the northwest (PNGS < 300 mm) of the study area by simulations. Causal analysis indicates that more intensive freezing caused by decreased air temperature (Ta) is the dominant driver that leads to NGS N2O emissions increasing within the southeast of the study area, while increased PNGS and increased Ta cooperatively result in soil moisture decreasing at soil thaws that enhances NGS N2O production within the northwest of the study area. Scenario simulations suggest that annual N2O emissions in the US Midwest are likely to reduce under climate change primarily due to the reduction of NGS N2O emissions. Our estimates on monetized social benefits inform the necessity to implement spatial-specific mitigation strategies, i.e. determining fertilizer timing and use of nitrification inhibitors (NI). Spring fertilizer application is more beneficial than fall fertilizer application for most counties, however, the latter can bring extra benefits to some counties in the west of the study area. Introducing NI with either spring or fall applications can greatly increase social benefits by reducing N2O emissions and N leaching. This study addresses possibly effective adaptations by providing seasonal- and spatial-explicit mitigation potentials.
KW - Agricultural modeling
KW - Causal inference
KW - Climatic drivers
KW - Freeze-thaw cycles
KW - Greenhouse gas emissions
KW - Non-growing season NO
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U2 - 10.1016/j.agrformet.2022.109108
DO - 10.1016/j.agrformet.2022.109108
M3 - Article
AN - SCOPUS:85136273527
SN - 0168-1923
VL - 324
JO - Agricultural and Forest Meteorology
JF - Agricultural and Forest Meteorology
M1 - 109108
ER -