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Quantification of Metal Leaching in Immobilized Metal Affinity Chromatography

Quantification of Metal Leaching in Immobilized Metal Affinity Chromatography

Published on: January 17, 2020

Lateral spread affects nitrogen leaching from urine patches.

Rogerio Cichota¹, Iris Vogeler², Val Snow¹

¹AgResearch, Lincoln Research Centre, Christchurch, New Zealand.

The Science of the Total Environment

|May 2, 2018

Summary

Nitrogen (N) leaching from animal urine patches is a key issue in dairy farming. Accounting for the lateral spread of N beyond the wetted patch significantly reduces simulated N leaching by enhancing pasture uptake.

Keywords:

APSIM Dispersion-diffusion HYDRUS Pastoral systems Pasture yield Sensitivity analysis

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Area of Science:

Environmental science
Soil science
Agricultural science

Background:

Nitrate leaching from animal urine is a major environmental concern for sustainable dairy farming.
Understanding nitrogen (N) dynamics within and beyond urine patches is crucial for mitigating N losses.

Purpose of the Study:

To model the lateral spread of urinary N beyond the wetted patch.
To investigate the impact of this lateral N spread on plant growth and N leaching.
To assess the importance of the 'edge effect' in N leaching simulations.

Main Methods:

Utilized a combination of HYDRUS and APSIM process-based models.
Implemented a dispersion-diffusion function within the APSIM model.
Validated simulations against field experimental data from a spring experiment on well-drained soil.

Main Results:

Simulations incorporating lateral N spread reduced area-averaged N leaching by 8-37% compared to models without it, due to increased pasture uptake at the patch edges.
Pasture growth was not highly sensitive to the dispersion factor, but N leaching was very sensitive.
The model accurately described experimental data when lateral N spread was considered.

Conclusions:

Accounting for the lateral spread of urinary N (the 'edge effect') is important for accurately predicting N leaching.
The significance of the edge effect may vary depending on the simulation's objectives.
Further research is needed to refine model accuracy, but the findings highlight the necessity of considering N redistribution beyond the immediate urine patch.