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Related Concept Videos

The Phosphorus Cycle01:21

The Phosphorus Cycle

Unlike carbon, water, and nitrogen, phosphorus is not present in the atmosphere as a gas. Instead, most phosphorus in the ecosystem exists as compounds, such as phosphate ions (PO43-), found in soil, water, sediment and rocks. Phosphorus is often a limiting nutrient (i.e., in short supply). Consequently, phosphorus is added to most agricultural fertilizers, which can cause environmental problems related to runoff in aquatic ecosystems.

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Measuring Phosphorus Release in Laboratory Microcosms for Water Quality Assessment
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Published on: July 22, 2019

Simulating soil phosphorus dynamics for a phosphorus loss quantification tool.

Peter A Vadas1, Brad C Joern, Philip A Moore

  • 1US Dairy Forage Research Center, Madison, WI, USA. peter.vadas@ars.usda.gov

Journal of Environmental Quality
|November 7, 2012
PubMed
Summary
This summary is machine-generated.

The Annual P Loss Estimator (APLE) model accurately simulates soil phosphorus (P) dynamics over time. This tool helps assess agricultural management impacts on soil P, crucial for preventing freshwater pollution.

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Area of Science:

  • Environmental Science
  • Soil Science
  • Agricultural Science

Background:

  • Agricultural phosphorus (P) runoff is a significant contributor to freshwater pollution.
  • Understanding soil P dynamics is essential for managing P loss from agricultural lands.
  • Predictive models are vital tools for assessing the long-term effects of management practices on soil P.

Purpose of the Study:

  • To describe and validate the soil phosphorus dynamics simulated by the Annual P Loss Estimator (APLE) model.
  • To assess the model's ability to predict soil P changes under various agricultural management scenarios over a 10-year period.

Main Methods:

  • The Annual P Loss Estimator (APLE) model was developed as a user-friendly spreadsheet tool.
  • APLE simulates two soil layers, each with multiple inorganic and organic phosphorus pools.
  • Model validation utilized soil P data from 25 diverse published studies, encompassing various soil types, P inputs, and management practices.

Main Results:

  • APLE reliably simulated soil P dynamics across a broad spectrum of soil properties, P application rates, and management strategies.
  • The model accurately predicted scenarios of increasing soil P due to excessive inputs, decreasing soil P from greater outputs, and P stratification in no-till and pasture soils.
  • Validation confirmed the model's robustness in simulating soil P changes under conditions of varying P inputs and outputs.

Conclusions:

  • The validated APLE model demonstrates significant potential for assessing major management scenarios impacting soil P loss.
  • APLE provides a reliable tool for predicting soil P dynamics and informing strategies to mitigate agricultural P runoff and erosion.
  • The model's accuracy supports its application in research and practice aimed at improving water quality and soil health.