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March 13 - 15, 2022

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5/21/2018  |   9:00 AM - 9:15 AM   |  HYDROLOGIC AND VEGETATION MANAGEMENT INFLUENCE OXYGEN DYNAMICS AND NITROGEN PROCESSING IN SHALLOW, LOW GRADIENT, EXPERIMENTAL STREAMS   |  330 B

HYDROLOGIC AND VEGETATION MANAGEMENT INFLUENCE OXYGEN DYNAMICS AND NITROGEN PROCESSING IN SHALLOW, LOW GRADIENT, EXPERIMENTAL STREAMS

Excess nitrogen (N) runoff from agricultural areas remains a major challenge to reducing the environmental footprint of high intensity agriculture; producers require simple and innovative approaches to reduce runoff while maintaining high productivity. Agricultural ditches and stream management can potentially increase both on-farm and landscape-scale mitigation of excess N runoff. To date, studies evaluating management practices in Lower Mississippi River Basin ditches have relied on small scale mesocosms and core based methods. Yet it is unclear how these studies inform larger scale observations that incorporate diel patterns in light and temperature which can influence primary production, oxygen (O2) dynamics, and related N processing. To examine larger spatial and temporal scales, we explored how hydrologic and vegetation management practices interact to influence diel N and O2 dynamics by manipulating hydrologic residence time and the presence of rice cutgrass (Leersia oryzoides) in six experimental streams. We measured plant nutrient uptake, denitrification fluxes, and metabolism using in situ dissolved solute and gas sampling techniques over three 24 hour diel experimental runs. Results indicate that ditches with vegetation promote N retention and have more pronounced O2 dynamics which can alter expected N removal pathways.

  • Nitrogen
  • Oxygen
  • Metabolism

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Presenters/Authors

Rachel Nifong (), Agricultural Research Service, USDA, rachel.nifong@ars.usda.gov;


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Jason M. Taylor (), USDA, Agricultural Research Service, National Sedimentation Lab, jason.taylor@ars.usda.gov;


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Lindsey Yasarer (), Agricultural Research Service, US Department of Agriculture, lindsey.yasarer@ars.usda.gov;


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