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Assessing Winter Cover Crop Nutrient Uptake Efficiency Using a Water Quality Simulation Model : Volume 18, Issue 12 (16/12/2014)

By Yeo, I.-y.

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Book Id: WPLBN0004011314
Format Type: PDF Article :
File Size: Pages 15
Reproduction Date: 2015

Title: Assessing Winter Cover Crop Nutrient Uptake Efficiency Using a Water Quality Simulation Model : Volume 18, Issue 12 (16/12/2014)  
Author: Yeo, I.-y.
Volume: Vol. 18, Issue 12
Language: English
Subject: Science, Hydrology, Earth
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2014
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Mccarty, G. W., Beeson, P. C., Sadeghi, A. M., Hively, W. D., Lee, S., Yeo, I., & Lang, M. W. (2014). Assessing Winter Cover Crop Nutrient Uptake Efficiency Using a Water Quality Simulation Model : Volume 18, Issue 12 (16/12/2014). Retrieved from http://www.ebooklibrary.org/


Description
Description: Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA. Winter cover crops are an effective conservation management practice with potential to improve water quality. Throughout the Chesapeake Bay watershed (CBW), which is located in the mid-Atlantic US, winter cover crop use has been emphasized, and federal and state cost-share programs are available to farmers to subsidize the cost of cover crop establishment. The objective of this study was to assess the long-term effect of planting winter cover crops to improve water quality at the watershed scale (~ 50 km2) and to identify critical source areas of high nitrate export. A physically based watershed simulation model, Soil and Water Assessment Tool (SWAT), was calibrated and validated using water quality monitoring data to simulate hydrological processes and agricultural nutrient cycling over the period of 1990–2000. To accurately simulate winter cover crop biomass in relation to growing conditions, a new approach was developed to further calibrate plant growth parameters that control the leaf area development curve using multitemporal satellite-based measurements of species-specific winter cover crop performance. Multiple SWAT scenarios were developed to obtain baseline information on nitrate loading without winter cover crops and to investigate how nitrate loading could change under different winter cover crop planting scenarios, including different species, planting dates, and implementation areas. The simulation results indicate that winter cover crops have a negligible impact on the water budget but significantly reduce nitrate leaching to groundwater and delivery to the waterways. Without winter cover crops, annual nitrate loading from agricultural lands was approximately 14 kg ha−1, but decreased to 4.6–10.1 kg ha−1 with cover crops resulting in a reduction rate of 27–67% at the watershed scale. Rye was the most effective species, with a potential to reduce nitrate leaching by up to 93% with early planting at the field scale. Early planting of cover crops (~ 30 days of additional growing days) was crucial, as it lowered nitrate export by an additional ~ 2 kg ha−1 when compared to late planting scenarios. The effectiveness of cover cropping increased with increasing extent of cover crop implementation. Agricultural fields with well-drained soils and those that were more frequently used to grow corn had a higher potential for nitrate leaching and export to the waterways. This study supports the effective implementation of cover crop programs, in part by helping to target critical pollution source areas for cover crop implementation.

Summary
Assessing winter cover crop nutrient uptake efficiency using a water quality simulation model

Excerpt
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