Short-term forecasting tools for agricultural nutrient management

Zachary M. Easton, Peter J.A. Kleinman, Anthony R. Buda, Dustin Goering, Nichole Emberston, Seann Reed, Patrick J. Drohan, M. Todd Walter, Pat Guinan, John A. Lory, Andrew R. Sommerlot, Andrew Sharpley

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

The advent of real-time, short-term farm management tools is motivated by the need to protect water quality above and beyond the general guidance offered by existing nutrient management plans. Advances in high-performance computing and hydrologic or climate modeling have enabled rapid dissemination of realtime information that can assist landowners and conservation personnel with short-term management planning. This paper reviews short-term decision support tools for agriculture that are under various stages of development and implementation in the United States: (i) Wisconsin's Runoff Risk Advisory Forecast (RRAF) System, (ii) New York's Hydrologically Sensitive Area Prediction Tool, (iii) Virginia's Saturated Area Forecast Model, (iv) Pennsylvania's Fertilizer Forecaster, (v) Washington's Application Risk Management (ARM) System, and (vi) Missouri's Design Storm Notification System. Although these decision support tools differ in their underlying model structure, the resolution at which they are applied, and the hydroclimates to which they are relevant, all provide forecasts (range 24-120 h) of runoff risk or soil moisture saturation derived from National Weather Service Forecast models. Although this review highlights the need for further development of robust and well-supported short-term nutrient management tools, their potential for adoption and ultimate utility requires an understanding of the appropriate context of application, the strategic and operational needs of managers, access to weather forecasts, scales of application (e.g., regional vs. field level), data requirements, and outreach communication structure.

Original languageEnglish (US)
Pages (from-to)1257-1269
Number of pages13
JournalJournal of Environmental Quality
Volume46
Issue number6
DOIs
StatePublished - Nov 1 2017

Fingerprint

Nutrients
nutrient
Runoff
runoff
weather
Soil moisture
landowner
Fertilizers
Model structures
Risk management
Agriculture
Farms
Water quality
Conservation
climate modeling
Managers
soil moisture
forecast
fertilizer
Personnel

All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Water Science and Technology
  • Waste Management and Disposal
  • Pollution
  • Management, Monitoring, Policy and Law

Cite this

Easton, Z. M., Kleinman, P. J. A., Buda, A. R., Goering, D., Emberston, N., Reed, S., ... Sharpley, A. (2017). Short-term forecasting tools for agricultural nutrient management. Journal of Environmental Quality, 46(6), 1257-1269. https://doi.org/10.2134/jeq2016.09.0377
Easton, Zachary M. ; Kleinman, Peter J.A. ; Buda, Anthony R. ; Goering, Dustin ; Emberston, Nichole ; Reed, Seann ; Drohan, Patrick J. ; Walter, M. Todd ; Guinan, Pat ; Lory, John A. ; Sommerlot, Andrew R. ; Sharpley, Andrew. / Short-term forecasting tools for agricultural nutrient management. In: Journal of Environmental Quality. 2017 ; Vol. 46, No. 6. pp. 1257-1269.
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Easton, ZM, Kleinman, PJA, Buda, AR, Goering, D, Emberston, N, Reed, S, Drohan, PJ, Walter, MT, Guinan, P, Lory, JA, Sommerlot, AR & Sharpley, A 2017, 'Short-term forecasting tools for agricultural nutrient management', Journal of Environmental Quality, vol. 46, no. 6, pp. 1257-1269. https://doi.org/10.2134/jeq2016.09.0377

Short-term forecasting tools for agricultural nutrient management. / Easton, Zachary M.; Kleinman, Peter J.A.; Buda, Anthony R.; Goering, Dustin; Emberston, Nichole; Reed, Seann; Drohan, Patrick J.; Walter, M. Todd; Guinan, Pat; Lory, John A.; Sommerlot, Andrew R.; Sharpley, Andrew.

In: Journal of Environmental Quality, Vol. 46, No. 6, 01.11.2017, p. 1257-1269.

Research output: Contribution to journalArticle

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AU - Reed, Seann

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Easton ZM, Kleinman PJA, Buda AR, Goering D, Emberston N, Reed S et al. Short-term forecasting tools for agricultural nutrient management. Journal of Environmental Quality. 2017 Nov 1;46(6):1257-1269. https://doi.org/10.2134/jeq2016.09.0377