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Related Experiment Videos

Geographic information system based manure application plan.

Badri B Basnet1, Armando A Apan, Steven R Raine

  • 1Faculty of Engineering and Surveying, University of Southern Queensland, Toowoomba, Queensland, 4350, Australia. basnetb@iprimus.com.au

Journal of Environmental Management
|May 9, 2002
PubMed
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A new geographic information system (GIS) plan enables site-specific animal waste application in Queensland, Australia. This system optimizes manure use, limits phosphorus, and minimizes environmental risks for sustainable agriculture.

Area of Science:

  • Agricultural Science
  • Environmental Science
  • Geographic Information Systems (GIS)

Background:

  • Eutrophication and toxic blue-green algae blooms are significant environmental issues in the Murray-Darling Basin.
  • Effective management of animal waste is crucial for agricultural sustainability and water quality protection.

Purpose of the Study:

  • To develop a GIS-based manure application plan for site-specific animal waste management.
  • To identify suitable agricultural fields for manure application using a weighted linear combination (WLC) model.
  • To determine optimal manure application rates based on environmental, social, economic, and agricultural factors.

Main Methods:

  • Utilized a GIS-based weighted linear combination (WLC) model to assess land suitability for manure application.

Related Experiment Videos

  • Calculated maximum manure application rates based on crop phosphorus (P2O5) requirements and manure nutrient content.
  • Considered environmental suitability and socio-environmental risks in prescribing final application rates.
  • Created an applied ammonium nitrogen (NH4-N) map to identify potential nitrogen deficiencies.
  • Main Results:

    • Identified suitable sites for animal waste application within the Westbrook sub-catchment.
    • Established manure application rates limited by crop phosphorus removal to mitigate eutrophication.
    • Provided site-specific manure management recommendations to minimize risks and enhance nutrient use efficiency.
    • Quantified potential ammonium nitrogen addition to soils, aiding farmers in supplemental nitrogen management.

    Conclusions:

    • The GIS-based approach provides a robust framework for sustainable animal waste management in agricultural systems.
    • Site-specific application planning is essential for balancing nutrient utilization with environmental protection.
    • This methodology can help reduce nutrient runoff and improve water quality in vulnerable catchments like the Murray-Darling Basin.