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Statistical Approach

Statistical Approach. try to understand the R simulation needed what kind of distribution will I ask R to use ? Where will I get a reasonable starting point for the magnitude of that variability. Where will I get guesses for realistic variability so I’m not fixing the game. Well. Spring.

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Statistical Approach

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  1. Statistical Approach

  2. try to understand the R simulation needed • what kind of distribution will I ask R to use? • Where will I get a reasonable starting point for the magnitude of that variability. • Where will I get guesses for realistic variability so I’m not fixing the game.

  3. Well Spring Native Pasture S1 E TD Dryland Pasture w/ fence I1 S B S2 CP C H DAM Hayed Anually F MU P DC WT BV BU Fileds I2 WL G CB Planned Fence-line D O Rented CO Tree Rows CS A

  4. Anticipating the End: For Each Parcel: Old Attributes Possible Interventions Use Yield – Cost Decision

  5. Yield

  6. NRCS ARC-GIS Soil

  7. Soil Values for Forage Production

  8. Calculating Rangeland Production 1. Range Science: 1000 lb. Cow with calf consumes - 26 lbs of dry forage per day -760 lbs of dry forage per month 1 Animal Unit Month (AUM) = 760 lbs. of dry forage 2. USDA One AUM = 915 pounds. Given: Annual forage production = 900 pounds per acre. AUM per acre = (900 pounds per acre) x (25 percent grazing efficiency) = (225 poundsavailableforage per acre) / (915 pounds per AUM) = 0.25 AUM per acre.

  9. Soil Values for Spring and Winter Wheat Mean Year Only

  10. Yields Multiply by 915 Multiply by 780 Hay Yield:

  11. R

  12. Vector of soil types for each parcel Forage Yield Equation Wheat Yield Equation Hay Equation AUM Equation Income- cost Equation Stocking Rate Cumulative Parcel Data Compare to Current Use Income- cost Equation Make Decision

  13. Range Simulation: Mean Year Cumulative Parcel Data Yield Stocking Rate Decision

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