Cynthia Nevison, Lei Hu, Stephen M. Ogle, Alisa Keyser, Xin Lan, Kathryn McKain
{"title":"Midwestern N2O Emissions Linked at Regional Scales to Remotely Sensed Soil Moisture in a North American Inversion","authors":"Cynthia Nevison, Lei Hu, Stephen M. Ogle, Alisa Keyser, Xin Lan, Kathryn McKain","doi":"10.1029/2024GB008418","DOIUrl":null,"url":null,"abstract":"<p>The interactions between soil moisture (SM), agricultural practices, and microbially driven N<sub>2</sub>O emissions have been described in detail at the field scale. The relationships among those variables are investigated here at larger scales using Soil Moisture Active-Passive remote sensing data and a regional atmospheric inversion. In the atmospheric N<sub>2</sub>O data set used in the inversion, 13 large pulse events were observed during the crop growing season from 2015 to 2021 in the U.S. Midwest, mainly in Iowa. These events were linked to rapid changes in SM, either increasing from dry to wet conditions, or vice versa, within a week preceding the N<sub>2</sub>O pulse. However, no significant correlations were found between SM or soil temperature and posterior N<sub>2</sub>O fluxes from the inversion integrated over Iowa across the peak emission months of May–June. Analysis over the full growing season suggested compensating emissions, for example, higher than normal N<sub>2</sub>O fluxes in July following a dry June. These results suggest a relatively consistent ∼4% yield of N<sub>2</sub>O from anthropogenic N inputs to croplands in Iowa regardless of short-term variability in soil conditions. Net growing season N<sub>2</sub>O emissions in the DayCent biogeochemistry model were also not correlated to SM or temperature, although the model tended to underestimate interannual variability relative to the inversion. An expanded atmospheric observation network, together with an extended SM time series, would allow a better understanding of the relationship between variability in SM and N<sub>2</sub>O emissions at regional scales.</p>","PeriodicalId":12729,"journal":{"name":"Global Biogeochemical Cycles","volume":"39 5","pages":""},"PeriodicalIF":5.4000,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Biogeochemical Cycles","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1029/2024GB008418","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
The interactions between soil moisture (SM), agricultural practices, and microbially driven N2O emissions have been described in detail at the field scale. The relationships among those variables are investigated here at larger scales using Soil Moisture Active-Passive remote sensing data and a regional atmospheric inversion. In the atmospheric N2O data set used in the inversion, 13 large pulse events were observed during the crop growing season from 2015 to 2021 in the U.S. Midwest, mainly in Iowa. These events were linked to rapid changes in SM, either increasing from dry to wet conditions, or vice versa, within a week preceding the N2O pulse. However, no significant correlations were found between SM or soil temperature and posterior N2O fluxes from the inversion integrated over Iowa across the peak emission months of May–June. Analysis over the full growing season suggested compensating emissions, for example, higher than normal N2O fluxes in July following a dry June. These results suggest a relatively consistent ∼4% yield of N2O from anthropogenic N inputs to croplands in Iowa regardless of short-term variability in soil conditions. Net growing season N2O emissions in the DayCent biogeochemistry model were also not correlated to SM or temperature, although the model tended to underestimate interannual variability relative to the inversion. An expanded atmospheric observation network, together with an extended SM time series, would allow a better understanding of the relationship between variability in SM and N2O emissions at regional scales.
期刊介绍:
Global Biogeochemical Cycles (GBC) features research on regional to global biogeochemical interactions, as well as more local studies that demonstrate fundamental implications for biogeochemical processing at regional or global scales. Published papers draw on a wide array of methods and knowledge and extend in time from the deep geologic past to recent historical and potential future interactions. This broad scope includes studies that elucidate human activities as interactive components of biogeochemical cycles and physical Earth Systems including climate. Authors are required to make their work accessible to a broad interdisciplinary range of scientists.