U.S. flagAn official website of the United States government
                    Here's how you know **Official websites use .gov**
                            
                            A **.gov** website belongs to an official government organization in the United States.
 **Secure .gov websites use HTTPS**
                            
                            A **lock** (                            
                              A locked padlock                                                      
                            
                            ) or **https://** means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.


Menu Agricultural Research Service
						
                    U.S. DEPARTMENT OF AGRICULTURE
 Hydrology and Remote Sensing Laboratory: Beltsville, MD
 close



    Research

                    Research Projects
                                    Publications
                                    Collaborations
                                    News
                                    Software
                People

                    Staff Listing
                                    CareersSearch small
                    Search
            
            ARS Home
                                About ARS
                                Contact Us




ARS Home Northeast Area Beltsville, Maryland (BARC) Beltsville Agricultural Research Center Hydrology and Remote Sensing Laboratory Research Publications at this Location





- ARS National Programs
- Search for a scientific manuscript
- Search for a research project
- ARS Software
- Programs and Projects
- Collaborations
- Subjects of Investigation
- Publications
- People
- Research Sites
- Pesticide Volatilization
- Watershed Modeling
- Climate Change
- Soil Moisture
- Drought and ET
- HRSL Brochure

Title:   Author  item
                                            LEE, S - University Of Marylanditem
                                            YEO, IN-YOUNG - Collaboratoritem
                                            Beeson, Peteritem
                                            Sadeghi, Aliitem
                                            HIVELY, W - Us Geological Survey (USGS)item
                                            McCarty, Gregory
  Submitted to: BARC Poster Day
                                    Publication Type: Abstract Only
                                    Publication Acceptance Date: 4/18/2013
                                    Publication  Date: 4/18/2013
                                    Citation: Lee, S., Yeo, I., Beeson, P.C., Sadeghi, A.M., Hively, W.D., McCarty, G.W. 2013. Assessing winter cover crop nutrient uptake efficiency using water quality simulation model [abstract]. Abs. 27. BARC Poster Day.Interpretive Summary:
                                Technical Abstract: Winter cover crops are an important conservation practice with potential to improve water quality by reducing excess nitrogen (N), remaining during the winter/early spring in soil, from leaching, runoff, and sediment loss into surface waters after harvest of summer crops. Throughout the Chesapeake Bay watershed, cover crop use has been greatly emphasized and currently, federal and state cost-share programs are available for farmers to compensate for the costs of planting winter cover crops.  However, the impacts of cover crop N uptake efficiencies at the landscape scale are little known, and more work is needed to evaluate how they affect the water budget and nutrient cycling at that scale.  The objective of this study was to assess the effectiveness of the cover crop program at landscape scale, using a well-known USDA-ARS watershed simulation model, Soil and Water Assessment Tool (or SWAT).  The study is being undertaken in German Branch (GB), a sub-basin within the larger Choptank River Watershed.   The SWAT model will be carefully calibrated and validated using field observations from 1992-1995. A number of scenarios were developed to obtain the baseline information for nutrient losses under current condition, and to investigate how water budget, N uptake, and N leaching was affected by different planting dates, species, and amount of cover crop coverage.  In addition, we conducted a geospatial analysis to identify critical areas for high N loading within the GB sub-basin.  This provides important information for decision making to prioritize best management practices.


Return to top


Connect with ARS Sign up


ARS Home
                            USDA.gov
                            Plain Writing
                            Policies & Links
                            Civil Rights Statements
                            FOIA
                            Accessibility Statement
                            Privacy Policy
                            Non-Discrimination Statement
                            Quality of Information
                            USA.gov
                            WhiteHouse.gov