Journal
JOURNAL OF ENVIRONMENTAL QUALITY
Volume 49, Issue 5, Pages 1370-1383Publisher
WILEY
DOI: 10.1002/jeq2.20116
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Funding
- 4RR esearch Fund [IPNI-2014-USA-4RN09]
- USEPA [DW-12-92342501-0]
- Ohio FarmBureau, Conservation Innovation, Ohio State University [69-3A75-12-231]
- Heidelberg University [69-3A75-13-216]
- NRCS Mississippi River Basin Initiative
- Nature Conservancy
- Ohio Corn and Wheat Growers Association
- Ohio Soybean Association
- NRCS Cooperative Conservation Partnership Initiative
- NRCS Conservation Effects Assessment Project
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Recent research on tile-drainage has placed emphasis on dissolved reactive phosphorus (DRP) delivery and transport pathways but less emphasis on particulate P (PP), resulting in its exclusion from agricultural water management models. In this study, we quantified the fluxes, mechanisms, and factors driving PP delivery into tiles through statistical analysis of a long-term hydrologic and water quality dataset. The dataset includes 5 yr of surface and tile discharge, total P (TP), DRP, total nitrogen (TN), and dissolved inorganic N concentrations from two edge-of-field study sites with contrasting soil and management practices. Hydrograph recession techniques were coupled with multiple linear regression for understanding hydrologic flow pathways, and empirical mode decomposition (EMD) time-series analysis was used to determine the significance of PP seasonality processes and the effect of management practices. The analysis of hydrologic flow pathways demonstrated that quickflow contributed 66 and 36% of subsurface discharge in the clay and loam sites, respectively. Phosphorus loading analysis showed that macropore flow plays a significant role in PP delivery to subsurface P loading and that PP significantly contributed to TP and DRP delivery; however, greater PP loadings were observed at the clay site despite greater subsurface discharge and soil test P levels at the loam site. Furthermore, PP delivery was significantly affected by environmental conditions and management practices. We highlight the efficacy of hydrograph recession analysis for identifying macropore and diffuse drainage, of P/N ratios to characterize sediment delivery mechanisms in tiles, and of EMD to detect management impacts on TP and DRP at the field scale.
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