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  1. Home
  3. Correlations Between Catchment-scale Farm Infrastructure Densities And Stocking Rate To Stream Nutrient Concentrations In Dairy-dominant Catchments.
  1. Home
  3. Correlations Between Catchment-scale Farm Infrastructure Densities And Stocking Rate To Stream Nutrient Concentrations In Dairy-dominant Catchments.

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Correlations between catchment-scale farm infrastructure densities and stocking rate to stream nutrient

Jonah Lee Bas1, Andrew W Western2, Robert Sargent1

  • 1Department of Civil and Environmental Engineering, Monash University, Clayton, Victoria, Australia.

Journal of Environmental Management
|April 24, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

Dairy farm infrastructure and stocking rates significantly impact stream nutrient pollution, including nitrogen and phosphorus. Understanding these farming practices is key to improving water quality.

Keywords:
Catchment characteristicsFarm infrastructureNutrient concentrationPartial least squares regressionStocking rate

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Area of Science:

  • Environmental Science
  • Agricultural Science
  • Water Quality Management

Background:

  • Nutrient pollution from agriculture, particularly nitrogen and phosphorus, drives eutrophication.
  • Catchment characteristics influence nutrient loads, but the role of specific farming practices is less understood.

Purpose of the Study:

  • To investigate the influence of dairy farm infrastructure and stocking rates on stream nutrient concentrations.
  • To determine the relative importance of specific farming practices in nutrient pollution.

Main Methods:

  • Statistical analyses and modeling were used.
  • Examined relationships between nutrient concentrations (ammonium, filterable reactive phosphorus, nitrogen oxides, total phosphorus, total nitrogen) and 26 predictors.
  • Focused on farm infrastructure density and stocking rate in an agriculturally-intensive dairy region.

Main Results:

  • Farm infrastructure (effluent pond density, dairy shed density) and stocking rate were consistent predictors of nutrient concentrations.
  • These factors influenced ammonium (NH4+), filterable reactive phosphorus (FRP), nitrogen oxides (NOx), total phosphorus (TP), and total nitrogen (TN) during wet and dry periods.

Conclusions:

  • Specific farming practices, beyond land use, significantly affect stream nutrient levels.
  • Identifying key infrastructure and stocking rates as drivers necessitates targeted management for water quality improvement.