Abstract
Soil nitrous oxide (N2O) emissions are an important driver of climate change and are a major mechanism of labile nitrogen (N) loss from terrestrial ecosystems. Evidence increasingly suggests that locations on the landscape that experience biogeochemical fluxes disproportionate to the surrounding matrix (hot spots) and time periods that show disproportionately high fluxes relative to the background (hot moments) strongly influence landscape-scale soil N2O emissions. However, substantial uncertainties remain regarding how to measure and model where and when these extreme soil N2O fluxes occur. High-frequency datasets of soil N2O fluxes are newly possible due to advancements in field-ready instrumentation that uses cavity ring-down spectroscopy (CRDS). Here, we outline the opportunities and challenges that are provided by the deployment of this field-based instrumentation and the collection of high-frequency soil N2O flux datasets. While there are substantial challenges associated with automated CRDS systems, there are also opportunities to utilize these near-continuous data to constrain our understanding of dynamics of the terrestrial N cycle across space and time. Finally, we propose future research directions exploring the influence of hot moments of N2O emissions on the N cycle, particularly considering the gaps surrounding how global change forces are likely to alter N dynamics in the future.
| Original language | English |
|---|---|
| Article number | 674348 |
| Journal | Frontiers in Forests and Global Change |
| Volume | 5 |
| DOIs | |
| State | Published - May 24 2022 |
Funding
DS acknowledges support from U.S. Department of Energy (DOE) Environmental System Science Program (DE-SC0022314), NSF Macrosystem Biology and NEON-Enabled Science Program (DEB-2106137), University Research Council and Halle Institute for Global Research and the Halle Foundation Collaborative Research Grant at Emory University. This work was supported by an NSF grant to WS (DEB-1457805), as well as the NSF sponsored Luquillo CZO (EAR-1331841 and EAR-0722476) and LTER (DEB-0620910). Additional support was provided by the DOE grant TES-DE-FOA-0000749 and the USDA National Institute of Food and Agriculture, McIntire Stennis project CA-B-ECO-7673-MS to WS. We are grateful for funding from Betsy Taylor, The Jena and Michael King Foundation, The Band Foundation, The V. K. Rasmussen Foundation, The Trisons Foundation, Oak Creek Foundation, The Rathmann Family Foundation, a grant from the California Strategic Growth Council to WS, a UC Lab Fees Grant to WS, and funding from the UCOP Sustainability Program, California Department of Water Resources, Grant/Award No. 4600011240; California Sea Grant, Grant/Award No. R/SF-89; Delta Stewardship Council, Grant/Award No. 5298. TA was supported by the California Sea Grant Delta Science Fellowship. This material was based upon work supported by the Delta Stewardship Council Delta Science Program under Grant No. 5298 and California Sea Grant College Program Project R/SF-89. This work was also supported through an Early Career Award to MM through the U.S. DOE Biological and Environmental Research Program.
Keywords
- high-frequency data
- hot spots and hot moments
- nitrogen cycling
- novel methods
- soil greenhouse gas
- soil nitrous oxide emissions