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NRCS Soils Data National Soil Information System NASIS.

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Presentation on theme: "NRCS Soils Data National Soil Information System NASIS."— Presentation transcript:

1 NRCS Soils Data National Soil Information System NASIS

2 NRCS Soil Data Origins pre-date computers and models  data collection spans decades. Not designed or maintained with modeling in mind. Not perfect; need to have a procedure to handle errors and omissions. Must be adapted to meet model needs

3 NRCS Soil Databases Characterization Data 70+ years Support classification and Soil Taxonomy Support interpretations Point data, measured Horizons NASIS ~20 years, early computer tech Interpret char. data Provides interp. data for broad landuse decisions Mapunit based, not pt. Layers

4 NRCS Soil Databases Both NASIS and Soil Taxonomy are landuse independent. Characterization data may provide clues. Use Soil Taxonomy to fill or fix bad records.

5 NRCS Soil Databases NASIS reports a Representative Value (RV) and a range, hi and lo. Use the value that best reflects the landuse being modeled. The RV works better for empirical models like RUSLE than a process model like EPIC or APEX

6 Layer 1 Layer 2 Layer 3 Ap AB Bt1 Bt2 2Bt3 2Bt4

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9 EFFECT OF NASIS RV CARBON Kenyon Apex Output Unadjusted C Adjusted C Corn Yield (bu)180176 Carbon Trend-400174 Total N (lbs)8228 Total P (lbs)4.32.6 Sediment (tons)1.661.5

10 Evesboro NASIS RV pH Layer (depth) NASIS pH Adjusted pH Layer 1 0.18 m3.65.8 Layer 2 1.02 m4.35.7 Layer 3 1.52 m4.35.0

11 EFFECT OF NASIS RV pH Evesboro Apex Output Unadjusted pH Adjusted pH Corn Yield (bu)15147 Carbon Trend-4177 Total N (lbs)9940 Total P (lbs)6.53.0 Sediment (tons)0.50.04

12 Evesboro NASIS RV Bulk Density Layer (depth) NASIS BD Adjusted BD Layer 1 0.18 m1.39 Layer 2 0.46 m1.43 Layer 3 0.69 m1.801.66

13 EFFECT OF NASIS RV Bulk Density Weikert Apex Output Unadjusted BD Adjusted BD Corn Yield (bu)8186 Carbon Trend91147 Total N (lbs)13597 Total P (lbs)9.88.9 Sediment (tons)2.52.1

14 Updates for modeling Established research grade position for modeling support for Soil Survey. Rapid C project. Collecting soil carbon data at NRI points. Error and omission checking. Begin collection of dynamic soil propeprties and data structure for dissemination.


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