Modeling Mulch to understand Agricultural Soil

Modeling Mulch to understand Agricultural Soil
Dec 29, 2021

By Morgan Rehnberg

Ensuring appropriate access to water is a key concern for farmers. Crops can underperform, or even die, in the presence of too little or too much water. But soil's ability to retain water is a complex process that depends on variations in soil composition, surface morphology, and local temperature, humidity, and wind, among other factors.

Wang et al. seek to  this process for a common agricultural scenario:  in the presence of residue mulch, the remains of a killed winter cover crop. Mulch is known to have several stabilizing effects on soil, including insulation from sunlight, reduction in the speed of water flowing over the surface, and minimization of temperature variation.

The authors rely on a finite element method that splits the region in question into a series of discrete layers. At the top is the interface between the mulch and the air. Below that layer is a series of mulch layers, and at the bottom lies the mulch-soil boundary. Various inputs are then propagated through the layers based on their governing equations. Precipitation, for instance, arrives first from the atmosphere and is steadily absorbed as it passes through each layer.

These  are integrated into an existing MAIZSIM model, which provides additional biological processes, such as  and the effects of that growth on the soil. Although MAIZSIM models the growth of corn, other  sharing the same soil code extend these techniques to additional important crops, such as soybeans and potatoes. The authors then augment the extended MAIZSIM model with existing models to simulate  decomposition and the exchange of carbon and nitrogen with the soil.

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