Articles | Volume 18, issue 12
https://doi.org/10.5194/hess-18-5239-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-18-5239-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Assessing winter cover crop nutrient uptake efficiency using a water quality simulation model
I.-Y. Yeo
Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA
School of Engineering, The University of Newcastle, Callaghan NSW 2308, Australia
S. Lee
Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA
A. M. Sadeghi
US Department of Agriculture – Agricultural Research Service, Hydrology and Remote Sensing Laboratory,Beltsville, MD 20705, USA
P. C. Beeson
Formerly at: US Department of Agriculture – Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705, USA
W. D. Hively
U.S. Geological Survey, Eastern Geographic Science Center, Reston, VA 20192, USA
G. W. McCarty
US Department of Agriculture – Agricultural Research Service, Hydrology and Remote Sensing Laboratory,Beltsville, MD 20705, USA
M. W. Lang
Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA
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- Dynamic quantitative trait loci (QTL) for plant height predict biomass yield in hybrid rye (Secale cereale L.) T. Miedaner et al. 10.1016/j.biombioe.2018.04.001
- Investigating water use over the C hoptank R iver W atershed using a multisatellite data fusion approach L. Sun et al. 10.1002/2017WR020700
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- Improving the catchment scale wetland modeling using remotely sensed data S. Lee et al. 10.1016/j.envsoft.2017.11.001
- Modeling sediment diagenesis processes on riverbed to better quantify aquatic carbon fluxes and stocks in a small watershed of the Mid-Atlantic region J. Qi et al. 10.1186/s13021-020-00148-1
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Short summary
This study demonstrates the effectiveness of winter cover crops for reducing nitrate loads using the Soil and Water Assessment Tool (SWAT). It illustrates the following: (1) nitrate removal efficiency varies greatly by species, timing, and extent of winter cover crop implementation; and (2) nitrate exports vary based on edaphic and agronomic characteristics of the croplands upon which crops are planted.
This study demonstrates the effectiveness of winter cover crops for reducing nitrate loads using...