Short‐term Forecasting Tools for Agricultural Nutrient Management. Issue 6 (1st November 2017)

• Record Type: Journal Article
• Authors: 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
• Is Part Of: Journal of Environmental Quality. Volume 46:Issue 6(2017)
• Page Start: 1257
• Page End: 1269
• Publication Date: 2017-11-01
• Subjects: Agricultural ecology -- Periodicals; Environmental engineering -- Periodicals; Pollution -- Periodicals; 630
• DOI: 10.2134/jeq2016.09.0377
• Languages: English
• ISSNs: 0047-2425

Abstract

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 real‐time 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. Core Ideas: Advances in weather forecasting, data management, and modeling improve nutrient management. New tools facilitate improved farm decisions in response to real‐time weather. Nutrient management can be performed operationally and strategically with real‐time tools.