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High-Throughput Measurement and Classification of Organic P in Environmental Samples
Published on: June 8, 2011
Soil phosphorus variability in pastures: implications for sampling and environmental management strategies
M B Daniels1, P Delaune, P A Moore
1Univ. of Arkansas Coop. Ext. Service, Little Rock 72203, USA. mdaniels@uaex.edu
Journal of Environmental Quality
|January 16, 2002
Summary
Understanding soil phosphorus (P) variability is key for effective nutrient management. This study highlights how sampling methods impact P estimates, crucial for making sound agricultural decisions.
Area of Science:
- Agricultural Science
- Soil Science
- Environmental Science
Background:
- Soil phosphorus (P) management is critical for sustainable agriculture and environmental protection.
- Variability in soil P levels, especially in pastures treated with animal waste, necessitates accurate assessment.
- Existing soil sampling protocols may not sufficiently address uncertainty in P estimates.
Purpose of the Study:
- To establish baseline soil P variability in animal waste-amended pastures.
- To evaluate the adequacy of current sampling recommendations in reducing uncertainty.
- To assess the impact of P estimate uncertainty on management decisions related to a 150 mg kg(-1) threshold.
Main Methods:
- Grid soil sampling across 12 diverse pastures.
- Analysis of soil P using Mehlich 3 extractant and ICP spectrometry.
- Statistical analysis of soil P variance and its relationship with mean P levels.
Main Results:
- Soil P concentrations varied widely, from 7 to 437 mg kg(-1), influenced by manure application history.
- Soil P variance generally increased with higher mean soil P values.
- Uncertainty in P estimates, particularly near the 150 mg kg(-1) threshold, can lead to incorrect management decisions.
Conclusions:
- Accurate soil P assessment is vital for effective nutrient management strategies.
- Current soil sampling recommendations are critical for reliable central tendency measures.
- Adhering to sampling guidelines minimizes uncertainty, ensuring appropriate management decisions, especially near critical P thresholds.

