Relationships between soil test phosphorus and county‐level agricultural surplus phosphorus

Author:

Tang Qicheng12ORCID,Duckworth Owen W.3ORCID,Obenour Daniel R.45ORCID,Kulesza Stephanie B.3ORCID,Slaton Nathan A.6ORCID,Whitaker Andrew H.78,Nelson Natalie G.125ORCID

Affiliation:

1. Department of Biological and Agricultural Engineering North Carolina State University Raleigh North Carolina USA

2. Plant Sciences Initiative North Carolina State University Raleigh North Carolina USA

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

4. Department of Civil, Construction, and Environmental Engineering North Carolina State University Raleigh North Carolina USA

5. Center for Geospatial Analytics North Carolina State University Raleigh North Carolina USA

6. Crop, Soil, and Environmental Sciences Department University of Arkansas Division of Agriculture Fayetteville Arkansas USA

7. Department of Plant and Soil Sciences Oklahoma State University Stillwater Oklahoma USA

8. Center for Undergraduate Research and Learning Lab, College of Health and Sciences East Central University Ada Oklahoma USA

Abstract

AbstractNational nutrient inventories provide surplus phosphorus (P) estimates derived from county‐scale mass balance calculations using P inputs from manure and fertilizer sales and P outputs from crop yield data. Although bioavailable P and surplus P are often correlated at the field scale, few studies have investigated the relationship between measured soil P concentrations of large‐scale soil testing programs and inventory‐based surplus P estimates. In this study, we assessed the relationship between national surplus P data from the NuGIS dataset and laboratory‐measured soil test phosphorus (STP) at the county scale for Arkansas, North Carolina, and Oklahoma. For optimal periods of surplus P aggregation, surplus P was positively correlated with STP based on both Pearson (Arkansas: r = 0.65, North Carolina: r = 0.45, Oklahoma: r = 0.52) and Spearman correlation coefficients (Arkansas: ρ = 0.57, North Carolina: ρ = 0.28, and Oklahoma: ρ = 0.66). Based on Pearson correlations, the optimal surplus P aggregation periods were 10, 30, and 4 years for AR, NC, and OK, respectively. On average, STP was more strongly correlated with surplus P than with individual P inventory components (fertilizer, manure, and crop removal), except in North Carolina. In Arkansas and North Carolina, manure P was positively correlated with STP, and fertilizer P was negatively correlated with STP. Altogether, results suggest that surplus P moderately correlates with STP concentrations, but aggregation period and location‐specific factors influence the strength of the relationship.

Funder

National Institute of Food and Agriculture

Publisher

Wiley

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