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Volume 38, Issue 4
Surface Water Quality

Estimating Phosphorus Loss in Runoff from Manure and Fertilizer for a Phosphorus Loss Quantification Tool

P. A. Vadas

Corresponding Author

E-mail address: peter.vadas@ars.usda.gov

USDA‐ARS, U.S. Dairy Forage Research Center, 1925 Linden Dr. West, Madison, WI, 53706

Corresponding author (E-mail address: peter.vadas@ars.usda.gov).Search for more papers by this author
L. W. Good

151 Soils Building, 1525 Observatory Dr., Univ. of Wisconsin, Madison, WI, 53706

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P. A. Moore

USDA‐ARS, Room 108 POSC, Univ. of Arkansas, Fayetteville, AR, 72701

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N. Widman

USDA‐NRCS, Room 6158‐S, P.O. Box 2890, Washington, DC, 20013‐2890

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First published: 01 July 2009
Citations: 22

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Abstract

Nonpoint‐source pollution of fresh waters by P is a concern because it contributes to accelerated eutrophication. Given the state of the science concerning agricultural P transport, a simple tool to quantify annual, field‐scale P loss is a realistic goal. We developed new methods to predict annual dissolved P loss in runoff from surface‐applied manures and fertilizers and validated the methods with data from 21 published field studies. We incorporated these manure and fertilizer P runoff loss methods into an annual, field‐scale P loss quantification tool that estimates dissolved and particulate P loss in runoff from soil, manure, fertilizer, and eroded sediment. We validated the P loss tool using independent data from 28 studies that monitored P loss in runoff from a variety of agricultural land uses for at least 1 yr. Results demonstrated (i) that our new methods to estimate P loss from surface manure and fertilizer are an improvement over methods used in existing Indexes, and (ii) that it was possible to reliably quantify annual dissolved, sediment, and total P loss in runoff using relatively simple methods and readily available inputs. Thus, a P loss quantification tool that does not require greater degrees of complexity or input data than existing P Indexes could accurately predict P loss across a variety of management and fertilization practices, soil types, climates, and geographic locations. However, estimates of runoff and erosion are still needed that are accurate to a level appropriate for the intended use of the quantification tool.

Number of times cited according to CrossRef: 22

  • Managing Animal Manure to Minimize Phosphorus Losses from Land to Water, Animal Manure, undefined, (201-228), (2020).
  • Modeling of phosphorus loss from field to watershed: A review, Journal of Environmental Quality, 10.1002/jeq2.20109, 49, 5, (1203-1224), (2020).
  • Modeling the Impacts of Manure on Phosphorus Loss in Surface Runoff and Subsurface Drainage, Journal of Environmental Quality, 10.2134/jeq2018.06.0240, 48, 1, (39-46), (2019).
  • A Global Perspective on Integrated Strategies to Manage Soil Phosphorus Status for Eutrophication Control without Limiting Land Productivity, Journal of Environmental Quality, 10.2134/jeq2019.03.0131, 48, 5, (1234-1246), (2019).
  • Development of PLEAD: A Database Containing Event‐based Runoff Phosphorus Loadings from Agricultural Fields, Journal of Environmental Quality, 10.2134/jeq2018.09.0337, 48, 2, (510-517), (2019).
  • Estimating Legacy Soil Phosphorus Impacts on Phosphorus Loss in the Chesapeake Bay Watershed, Journal of Environmental Quality, 10.2134/jeq2017.12.0481, 47, 3, (480-486), (2018).
  • Water‐Extractable Phosphorus in Animal Manure and Manure Compost: Quantities, Characteristics, and Temporal Changes, Journal of Environmental Quality, 10.2134/jeq2017.12.0467, 47, 3, (471-479), (2018).
  • Comparison of Two Methods for Calculating the P Sorption Capacity Parameter in Soils, Soil Science Society of America Journal, 10.2136/sssaj2017.09.0317, 82, 2, (493-501), (2018).
  • The Promise, Practice, and State of Planning Tools to Assess Site Vulnerability to Runoff Phosphorus Loss, Journal of Environmental Quality, 10.2134/jeq2017.10.0395, 46, 6, (1243-1249), (2017).
  • Evaluation of Phosphorus Site Assessment Tools: Lessons from the USA, Journal of Environmental Quality, 10.2134/jeq2016.11.0427, 46, 6, (1250-1256), (2017).
  • Use of Annual Phosphorus Loss Estimator (APLE) Model to Evaluate a Phosphorus Index, Journal of Environmental Quality, 10.2134/jeq2016.05.0203, 46, 6, (1380-1387), (2017).
  • Revised Method and Outcomes for Estimating Soil Phosphorus Losses from Agricultural Land in the Chesapeake Bay Watershed Model, Journal of Environmental Quality, 10.2134/jeq2016.05.0201, 46, 6, (1388-1394), (2017).
  • Southern Phosphorus Indices, Water Quality Data, and Modeling (APEX, APLE, and TBET) Results: A Comparison, Journal of Environmental Quality, 10.2134/jeq2016.05.0200, 46, 6, (1296-1305), (2017).
  • Comparing an Annual and a Daily Time‐Step Model for Predicting Field‐Scale Phosphorus Loss, Journal of Environmental Quality, 10.2134/jeq2016.04.0159, 46, 6, (1314-1322), (2017).
  • Applicability of Models to Predict Phosphorus Losses in Drained Fields: A Review, Journal of Environmental Quality, 10.2134/jeq2014.05.0220, 44, 2, (614-628), (2015).
  • Sensitivity and Uncertainty Analysis for the Annual Phosphorus Loss Estimator Model, Journal of Environmental Quality, 10.2134/jeq2012.0418, 42, 4, (1109-1118), (2013).
  • Comparing Phosphorus Indices from Twelve Southern U.S. States against Monitored Phosphorus Loads from Six Prior Southern Studies, Journal of Environmental Quality, 10.2134/jeq2012.0013, 41, 6, (1741-1749), (2012).
  • Phosphorus Indices: Why We Need to Take Stock of How We Are Doing, Journal of Environmental Quality, 10.2134/jeq2012.0040, 41, 6, (1711-1719), (2012).
  • Simulating Soil Phosphorus Dynamics for a Phosphorus Loss Quantification Tool, Journal of Environmental Quality, 10.2134/jeq2012.0003, 41, 6, (1750-1757), (2012).
  • Using a Phosphorus Loss Model to Evaluate and Improve Phosphorus Indices, Journal of Environmental Quality, 10.2134/jeq2011.0457, 41, 6, (1758-1766), (2012).
  • Testing the Wisconsin Phosphorus Index with Year‐Round, Field‐Scale Runoff Monitoring, Journal of Environmental Quality, 10.2134/jeq2012.0001, 41, 6, (1730-1740), (2012).
  • Effect of Varying the Phosphorus Content of Dairy Cow Diets on Losses of Phosphorus in Overland Flow Following Surface Applications of Manure, Journal of Environmental Quality, 10.2134/jeq2010.0205, 39, 6, (2138-2146), (2010).