Experimenting

Nitrogen (N), required by all living organisms, can limit crop yield, but too much can cause pollution. Use this simulation model to track nitrogen as it cycles from the atmosphere (or fertilizer) to soil to crops, and out to streams or back to the atmosphere.

Here’s the challenge: Can you manage the agricultural system for crop production without negative impacts for nitrate run-off to streams and greenhouse gas production?

By the Law of Conservation of Mass, the total N mass in the system, summed across all the stocks, is constant. However, because N cycles, the amount within each individual stock can change. We can use this principle to experiment with how to maximize the desirable stocks (Yield, Soil Organic N), and minimize the undesirable stocks (nitrous oxide, ~20% of total denitrification, and N loss to Streams).  The user can design experiments to test hypotheses about the effects of cropping system, management, and climate change on N cycling by manipulating the variables described above. Over the course of multiple model runs, the user can collect data from the model output to evaluate their hypotheses about effects of climate change and management on N cycling in an agricultural setting.

Hypothesis testing about management factors.

Use the model in ‘Lab’ mode, to test hypotheses by comparing output from a baseline run with a run in which you have changed only one parameter, e.g., fertilizer addition or management.

Follow these steps:

  1. Identify the parameters for the baseline run for your experiment (i.e., Cropping System, Fertilizer, Management).  
  2. Identify the parameter you need to change in the second run to be able to test the specific hypothesis.
  3. What output data on stocks do you need to record to make comparisons that will allow you to evaluate the hypothesis?
  4. What other stocks should you look at to determine other, perhaps unintended effects of the change made in the parameter?
  Parameter Settings Final N Stocks (All in kg/ha)
  Cropping system Fertilizer Management Atmosphere Soil Inorganic N Yield Soil Organic N Stream (10-yr total) Buffer Strip
Hypothesis # Run #1: Baseline Run #1: Baseline Run #1: Baseline            

Run #2:

1 of these 3 parameters changed

           

Examples of Hypotheses to test:

Note: In all cases, the singled changed parameter is highlighted in yellow, the response variable in green.

H1: Planting continuous corn with N fertilizer at 270 in spring increases Yield.

Results:

  Parameter Settings Final N Stocks (All in kg/ha)
  Cropping system Fertilizer Management Atmosphere Soil Inorganic N Yield Soil Organic N Stream (10-yr total) Buffer Strip
H1 Contin. Corn None Tilled 8000 31 502 5820 72 0
  Contin. Corn 270 in spring Tilled 8096 232 1519 6611 458 0

H2: Planting perennial Alfalfa increases Soil Organic N stocks.

Results

  Parameter Settings Final N Stocks (All in kg/ha)
  Cropping system Fertilizer Management Atmosphere Soil Inorganic N Yield Soil Organic N Stream (10-yr total) Buffer Strip
H2 Contin. Corn None Tilled 8000 31 502 5820 72 0
  Contin. Corn 270 in spring Tilled 4127 221 1775 7821 138 0

H3: Planting a corn-soybean rotation (N fertilizer = 180 in spring) with management of 'Cover Crop' reduces N stocks in 'N Stream'. What is the significance of this?

  Parameter Settings Final N Stocks (All in kg/ha)
  Cropping system Fertilizer Management Atmosphere Soil Inorganic N Yield Soil Organic N Stream (10-yr total) Buffer Strip
H2 Corn-soy 180 in spring Tilled 8008 298 1255 5329 280 0
  Corn-soy 180 in spring Cover crop 7361 128 1131 5544 210 0