2024-12-03 イリノイ大学アーバナ・シャンペーン校
<関連情報>
- https://aces.illinois.edu/news/streams-near-farms-emit-high-levels-greenhouse-gas-studies-find
- https://pubs.acs.org/doi/full/10.1021/acs.est.4c01285
- https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2024GL109623
水文連結性が河川のN2O発生源と動態を制御す Hydrologic Connectivity Regulates Riverine N2O Sources and Dynamics
Minpeng Hu,Zhongjie Yu,Timothy J. Griffis,Wendy H. Yang,Joachim Mohn,Dylan B. Millet,John M. Baker,Dongqi Wang,
Environmental Science & Technology Published May 23, 2024
DOI:https://doi.org/10.1021/acs.est.4c01285
Abstract
Indirect nitrous oxide (N2O) emissions from streams and rivers are a poorly constrained term in the global N2O budget. Current models of riverine N2O emissions place a strong focus on denitrification in groundwater and riverine environments as a dominant source of riverine N2O, but do not explicitly consider direct N2O input from terrestrial ecosystems. Here, we combine N2O isotope measurements and spatial stream network modeling to show that terrestrial–aquatic interactions, driven by changing hydrologic connectivity, control the sources and dynamics of riverine N2O in a mesoscale river network within the U.S. Corn Belt. We find that N2O produced from nitrification constituted a substantial fraction (i.e., >30%) of riverine N2O across the entire river network. The delivery of soil-produced N2O to streams was identified as a key mechanism for the high nitrification contribution and potentially accounted for more than 40% of the total riverine emission. This revealed large terrestrial N2O input implies an important climate–N2O feedback mechanism that may enhance riverine N2O emissions under a wetter and warmer climate. Inadequate representation of hydrologic connectivity in observations and modeling of riverine N2O emissions may result in significant underestimations.
米国コーンベルトからの亜酸化窒素排出に関する同位体制約 Isotopic Constraints on Nitrous Oxide Emissions From the US Corn Belt
T. J. Griffis, Z. Yu, J. M. Baker, D. B. Millet
Geophysical Research Letters Published: 06 November 2024
DOI:https://doi.org/10.1029/2024GL109623
Abstract
Agriculture is the dominant source of anthropogenic nitrous oxide (N2O) –a greenhouse gas and a stratospheric ozone depleting substance. The US Corn Belt is a large global N2O source, but there remain large uncertainties regarding its source attribution and biogeochemical pathways. Here, we interpret high frequency stable N2O isotope observations from a very tall tower to improve our understanding of regional source attribution. We detected significant seasonal variability in δ15Nbulk (6.47–7.33‰) and the isotope site preference (δ15NSP = δ15Nα–δ15Nβ, 18.22–25.19‰) indicating a predominance of denitrification during the growing period but of nitrification during the snowmelt period. Isotope mixing models and atmospheric inversions both indicate that indirect emissions contribute substantially (>35%) to total N2O emissions. Despite the relatively large uncertainties, the upper bound of bottom-up indirect emission estimates are at the lower bound of the isotopic constraint, implying significant discrepancies that require further investigation.
Key Points
- Seasonality of N2O isotope fingerprint driven by snowmelt and fertilizer input
- Snowmelt and growing season emissions dominated by nitrification versus denitrification pathways
- Isotope fingerprints were used to constrain direct and indirect N2O emissions
Plain Language Summary
Increasing use of synthetic nitrogen fertilizers for agricultural production is causing higher atmospheric nitrous oxide (N2O) concentrations. Nitrous oxide is a long-lived greenhouse gas and degrades the protective stratospheric ozone layer. Using tall tower N2O isotope observations from within the US Corn Belt, we examine how different processes (denitrification vs. nitrification) and sources (corn fields vs. wetlands, rivers, and streams) contribute to variations in atmospheric N2O. The findings indicate that a substantial amount of nitrogen leakage from agricultural crops contributes to N2O emissions via indirect sources such as drainage networks. These findings can help inform mitigation strategies targeting nitrogen use and leakage pathways from agricultural systems.