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S-map parameters for APSIM.

Iris Vogeler1,2, Linda Lilburne3, Trevor Webb3

  • 1The New Zealand Institute for Plant & Food Research Limited, Lincoln, New Zealand.

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Summary
This summary is machine-generated.

This study details using New Zealand's S-map soil data with the Agricultural Production Systems sIMulator (APSIM) model. It analyzes how soil properties and organic matter impact crop growth and nitrogen leaching.

Keywords:
Digital spatial soil informationProcess-based modellingSensitivity analysis

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Area of Science:

  • Agricultural Science
  • Environmental Modeling
  • Soil Science

Background:

  • Agroecosystem models are crucial for assessing environmental impacts and informing policy.
  • Accurate soil data is essential for these models, but site-specific data is often lacking.
  • Digital soil databases like New Zealand's S-map offer a valuable alternative for soil property inputs.

Purpose of the Study:

  • To establish a protocol for integrating S-map soil data into the Agricultural Production Systems sIMulator (APSIM) framework.
  • To investigate the sensitivity of APSIM outputs to variations in soil physical descriptions and soil organic matter (SOM) pools.

Main Methods:

  • Developed a protocol to translate S-map soil property data into APSIM input parameters.
  • Conducted a sensitivity analysis by altering soil layer descriptions and the configuration of SOM pools within APSIM.
  • Evaluated the impact of these changes on key model outputs such as plant growth and nitrogen (N) leaching.

Main Results:

  • Successfully demonstrated a method for utilizing S-map data within the APSIM modeling framework.
  • The sensitivity analysis revealed significant effects of soil layering and SOM pool characteristics on model predictions.
  • Key outputs, including simulated plant growth and nitrogen leaching, were shown to be responsive to soil input variations.

Conclusions:

  • S-map provides a viable and valuable data source for parameterizing agroecosystem models like APSIM in New Zealand.
  • Understanding the influence of soil physical properties and SOM dynamics is critical for accurate agroecosystem modeling.
  • This protocol enhances the utility of digital soil maps for improving the reliability of environmental impact assessments.