Soil nitrous oxide (N2O) emissions exhibit high variability in intensively managed cropping systems, which challenges our ability to understand their complex interactions with controlling factors. We leveraged 17-years (2003-2019) of measurements at the Kellogg Biological Station LTER/LTAR site to better understand controls of N2O emissions in four corn–soybean–winter wheat rotations employing Conventional, No-till, Reduced input, and Biologically-based/organic inputs. We used a Random Forest machine learning model to predict daily N2O fluxes, trained separately for each system with 70% of observations, using variables such as crop species, daily air temperature, cumulative 2-day precipitation, water-filled pore space, and soil nitrate and ammonium concentrations. The model explained 29 to 42% of daily N2O flux variability in test data, with greater predictability for the corn phase in each system. The long-term rotations showed different controlling factors and threshold conditions influencing N2O emissions. In the Conventional system, the model identified ammonium (>15 kg N ha-1) and daily temperature (>23 °C) as the most influential variables; in the No-till system, climate variables, precipitation, and temperature were important variables. In low input and organic systems, where red clover (Trifolium repens L.; before corn) and cereal rye (Secale cereale L.; before soybean) cover crops were integrated, nitrate was the predominant variable, followed by precipitation and temperature. In low input and biologically-based systems, red clover residues increased soil nitrogen availability to influence N2O emissions. Long-term data facilitated machine learning for predicting N2O emissions in response to differential controls and threshold responses to management, environmental, and biogeochemical drivers.
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Episodic N 2 O emissions following tillage of a legume–grass cover crop mixture
Abstract. Nitrogen (N) fertilizer inputs to agricultural soils area leading cause of nitrous oxide (N2O) emissions. Legume cover cropsare an alternative N source that can reduce agricultural N2O emissionscompared to fertilizer N. However, our understanding of episodic N2Oflux following cover crop incorporation by tillage is limited and hasfocused on single-species cover crops. Our study explores whether increasingcover crop functional diversity with a legume–grass mixture can reduce pulseemissions of N2O following tillage. In a field experiment, we plantedcrimson clover (Trifolium incarnatum L.), cereal rye (Secale cereal L.), a clover–rye mixture, and a no-covercontrol at two field sites with contrasting soil fertility properties inMichigan. We hypothesized that N2O flux following tillage of the covercrops would be lower in the mixture and rye compared to the clovertreatment because rye litter can decrease N mineralization rates. Wemeasured N2O for approximately 2 weeks following tillage to capturethe first peak in N2O emissions in each site. Across cover croptreatments, the higher-fertility site, CF, had greater cover crop biomass,2-fold-higher aboveground biomass N, and higher cumulative N2Oemissions than the lower-fertility site, KBS (413.4±67.5 vs. 230.8±42.5 g N2O-N ha−1; P=0.004). Therewas a significant treatment effect on daily emissions at both sites. AtCF, N2O fluxes were higher following clover than the control 6 d aftertillage. At KBS, fluxes from the mixture were higher than rye 8 and 11 dafter tillage. When controlling for soil fertility differences betweensites, clover and mixture led to approximately 2-fold-higher N2Oemissions compared to rye and fallow treatments. We found partial supportfor our hypothesis that N2O would be lower following incorporation ofthe mixture than clover. However, treatment patterns differed by site,suggesting that interactions between cover crop functional types andbackground soil fertility influence N2O emissions during cover cropdecomposition.
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- Award ID(s):
- 1832042
- PAR ID:
- 10358205
- Date Published:
- Journal Name:
- Biogeosciences
- Volume:
- 19
- Issue:
- 13
- ISSN:
- 1726-4189
- Page Range / eLocation ID:
- 3169 to 3184
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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