Uncertainty in phosphorus fluxes and budgets across the US long‐term agroecosystem research network

Author:

Welikhe Pauline12,Williams Mark R.2ORCID,King Kevin3,Bos Janae2,Akland Mark4,Baffaut Claire5ORCID,Beck E. Glynn6ORCID,Bierer Andrew7ORCID,Bosch David D.8ORCID,Brooks Erin S.9ORCID,Buda Anthony R.10,Cavigelli Michel11,Faulkner Joshua12,Feyereisen Gary W.13ORCID,Fortuna Ann‐Marie14ORCID,Gamble Joshua.15ORCID,Hanrahan Brittany R.3ORCID,Hussain Mir Zaman16,Kovar John L.17,Lee Brad4,Leytem April B.7,Liebig Mark A.18ORCID,Line Daniel19,Macrae Merrin L.20ORCID,Moorman Thomas B.17ORCID,Moriasi Daniel14,Mumbi Rose12,Nelson Nathan21ORCID,Ortega‐Pieck Aline9ORCID,Osmond Deanna19,Penn Chad2,Pisani Oliva8ORCID,Reba Michele L.22ORCID,Smith Douglas R.23ORCID,Unrine Jason424,Webb Pearl25,White Kate E.11,Wilson Henry26ORCID,Witthaus Lindsey M.27

Affiliation:

1. Department of Agronomy Purdue University West Lafayette Indiana USA

2. USDA‐ARS, National Soil Erosion Research Laboratory West Lafayette Indiana USA

3. USDA‐ARS, Soil Drainage Research Unit Columbus Ohio USA

4. Department of Plant and Soil Sciences University of Kentucky Lexington Kentucky USA

5. USDA‐ARS, Cropping Systems and Water Quality Research Unit Columbia Missouri USA

6. Kentucky Geological Survey Henderson Kentucky USA

7. USDA‐ARS, Northwest Irrigation and Soils Research Laboratory Kimberly Idaho USA

8. USDA‐ARS, Southeast Watershed Research Laboratory Tifton Georgia USA

9. Department of Soil and Water Resources University of Idaho Moscow Idaho USA

10. USDA‐ARS, Pasture Systems and Watershed Management Research Unit University Park Pennsylvania USA

11. USDA‐ARS, Sustainable Agricultural Systems Laboratory Beltsville Maryland USA

12. Department of Plant and Soil Science University of Vermont Burlington Vermont USA

13. USDA‐ARS, Soil and Water Management Unit St. Paul Minnesota USA

14. USDA‐ARS, Grazinglands Research Laboratory El Reno Oklahoma USA

15. USDA‐ARS, Plant Science Research Unit St. Paul Minnesota USA

16. W.K. Kellogg Biological Station Michigan State University Hickory Corners Michigan USA

17. USDA‐ARS, National Laboratory for Agriculture and the Environment Ames Iowa USA

18. USDA‐ARS, Northern Great Plains Research Laboratory Mandan North Dakota USA

19. Department of Crop and Soil Sciences North Carolina State University Raleigh North Carolina USA

20. Department of Geography and Environmental Management University of Waterloo Waterloo Ontario Canada

21. Department of Agronomy Kansas State University Manhattan Kansas USA

22. USDA‐ARS, Delta Water Management Research Unit Jonesboro Arkansas USA

23. USDA‐ARS, Grassland, Soil and Water Research Laboratory Temple Texas USA

24. Kentucky Water Resources Research Institute Lexington Kentucky USA

25. Department of Crop, Soil, and Environmental Sciences University of Arkansas Fayetteville Arkansas USA

26. Agriculture and Agri‐Food Canada, Science and Technology Branch Brandon Research and Development Centre Brandon Manitoba Canada

27. USDA‐ARS, National Sedimentation Laboratory Oxford Mississippi USA

Abstract

AbstractPhosphorus (P) budgets can be useful tools for understanding nutrient cycling and quantifying the effectiveness of nutrient management planning and policies; however, uncertainties in agricultural nutrient budgets are not often quantitatively assessed. The objective of this study was to evaluate uncertainty in P fluxes (fertilizer/manure application, atmospheric deposition, irrigation, crop removal, surface runoff, and leachate) and the propagation of these uncertainties to annual P budgets. Data from 56 cropping systems in the P‐FLUX database, which spans diverse rotations and landscapes across the United States and Canada, were evaluated. Results showed that across cropping systems, average annual P budget was 22.4 kg P ha−1 (range = −32.7 to 340.6 kg P ha−1), with an average uncertainty of 13.1 kg P ha−1 (range = 1.0–87.1 kg P ha−1). Fertilizer/manure application and crop removal were the largest P fluxes across cropping systems and, as a result, accounted for the largest fraction of uncertainty in annual budgets (61% and 37%, respectively). Remaining fluxes individually accounted for <2% of the budget uncertainty. Uncertainties were large enough that determining whether P was increasing, decreasing, or not changing was inconclusive in 39% of the budgets evaluated. Findings indicate that more careful and/or direct measurements of inputs, outputs, and stocks are needed. Recommendations for minimizing uncertainty in P budgets based on the results of the study were developed. Quantifying, communicating, and constraining uncertainty in budgets among production systems and multiple geographies is critical for engaging stakeholders, developing local and national strategies for P reduction, and informing policy.

Publisher

Wiley

Subject

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

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