national commodity crop robotham
TRANSCRIPT
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National Commodity Crop Productivity Index (NCCPI)National Commodity Crop Productivity Index (NCCPI)
Robert DobosUSDA-NRCS National Soil Survey Center
Lincoln, Nebraska
Presented by Michael Robotham
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NCCPI• Addresses problem / information need:
Consistently array soils nationwide on the basis of their inherent productivity for commodity crops
• Uses the soil and site data found in the soil survey database to assess relative soil productivity
• Based on established relationships between commodity crop yield and soil, site, climate, and landscape characteristics found the literature
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Who needs the information• USDA Agencies: Relative value of land across geographic
regions in order to equitably provide funds for programs
• State and local governments: Relative productivity for assessment and taxation
• Risk Management Agency: Relative productivity of soils in order to assess the validity of insurance claims
• Private entities / land owners: Relative productivity of soils to evaluate hybrids and to make land use decisions
• Others: Seems someone new every day
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Source of data
• SSURGO database – USDA-NRCS– Consistent data populated to national standards– Essentially the same data available on Web Soil Survey
• As the precision and accuracy of the data in the database is improved, the precision and accuracy of the model will improve
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Data Used – Physical characteristics
• Root Zone Available Water Holding Capacity
• Bulk Density
• Saturated Hydraulic Conductivity
• Shrink-Swell
• Content of Rock Fragments
• Rooting Zone Depth
• Sand, Silt, and Clay Percentages
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Data Used – Chemical Characteristics
• Cation Exchange Capacity
• pH
• Organic Matter Content
• Sodium Adsorption Ratio
• Gypsum Content
• Electrical Conductivity
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Data Used– Landscape Features
• Slope Gradient and Shape
• Ponding Frequency, Duration, and Timing
• Flooding Frequency, Duration, and Timing
• Water Table Depth, Duration, and Timing
• Erosion
• Surface Stones
• Rock Outcrop
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Data Used – Climate Factors• Mean Annual Precipitation
• Mean Annual Air Temperature
• Mean Annual Frost Free Days
• Major Land Resource Area
• Soil Temperature Regime
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NCCPI Products• Main product is the array of the soils
• A yield can be derived from the index if a given level of management is assumed
• Results can be aggregated over map units and linked to SSURGO spatial data for mapping
• Since the relation of yield to properties is known, we can estimate the impact of a change (better or worse) in the modeled variables
• Useful for climate change, dynamic soil properties, and soil quality
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A Small Case Study
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Organic Matter Changes
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Organic Matter Changes
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In the Works and Future
• A stand alone soybeans module is being tested
• An irrigated version is also being tested
• Continue to refine current models
• Add new commodity crop, biomass, and forage models
• A new crop yield dataset is being developed and tested in cooperation with the Risk Management Agency
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Additional information
• NCCPI v2.0 User Guide http://www.nrcs.usda.gov/wps/PA_NRCSConsumption/download?cid=nrcs142p2_050734&ext=pdf
• Robert “Bob” Dobos, Soil Scientist, National Soil Survey Center, Lincoln, NE– [email protected]– 402-437-4149
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Thank You