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Measuring Phosphorus Release in Laboratory Microcosms for Water Quality Assessment
Published on: July 22, 2019
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Relationships between soil test phosphorus and county-level agricultural surplus phosphorus
Qicheng Tang1,2, Owen W Duckworth3, Daniel R Obenour4,5
1Department of Biological and Agricultural Engineering, North Carolina State University, Raleigh, North Carolina, USA.
Journal of Environmental Quality
|September 10, 2024
Summary
National nutrient inventories estimate surplus phosphorus (P). This study found surplus P moderately correlates with soil test phosphorus (STP) concentrations, with optimal aggregation periods varying by location.
Area of Science:
- Agricultural Science
- Environmental Science
- Soil Science
Background:
- National nutrient inventories estimate surplus phosphorus (P) using county-scale mass balance.
- Few studies link these inventory-based surplus P estimates to measured soil test phosphorus (STP) concentrations from large-scale soil testing programs.
Purpose of the Study:
- To assess the relationship between national surplus P data and laboratory-measured STP at the county scale.
- To determine optimal aggregation periods for surplus P data to correlate with STP.
- To compare the correlation of surplus P with individual P inventory components (fertilizer, manure, crop removal).
Main Methods:
- Utilized the NuGIS dataset for national surplus P data.
- Analyzed laboratory-measured STP data at the county scale for Arkansas, North Carolina, and Oklahoma.
- Employed Pearson and Spearman correlation coefficients to assess relationships between surplus P and STP.
Main Results:
- Surplus P was positively correlated with STP across all studied states (Arkansas, North Carolina, Oklahoma).
- Optimal surplus P aggregation periods varied by state (10 years for AR, 30 for NC, 4 for OK).
- STP generally correlated better with surplus P than with individual P inputs/outputs, except in North Carolina.
Conclusions:
- Surplus P moderately correlates with measured soil test phosphorus (STP) concentrations.
- The strength of the surplus P-STP relationship is influenced by the data aggregation period and location-specific factors.
- Findings highlight the utility of surplus P estimates but emphasize the need for careful consideration of temporal and spatial scales.
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