Official Series Description


Lab Data Summary

Aggregate lab data for the DENNY soil series. This aggregation is based on all pedons with a current taxon name of DENNY, and applied along 1-cm thick depth slices. Solid lines are the slice-wise median, bounded on either side by the interval defined by the slice-wise 5th and 95th percentiles. The median is the value that splits the data in half. Five percent of the data are less than the 5th percentile, and five percent of the data are greater than the 95th percentile. Values along the right hand side y-axis describe the proportion of pedon data that contribute to aggregate values at this depth. For example, a value of "90%" at 25cm means that 90% of the pedons correlated to DENNY were used in the calculation. Source: KSSL snapshot . Methods used to assemble the KSSL snapshot used by SoilWeb / SDE

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Pedons used in the lab summary:

MLRALab IDPedon IDTaxonnameCINSSL / NASIS ReportsLink To SoilWeb GMap
108B67IL0170011967IL017001Denny3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties39.9198147,-90.240444
108B67IL0170021967IL017002Denny4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties39.9202039,-90.2397517
108B88P00801987IL109064Denny7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties40.5587356,-90.6871476

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the DENNY soil series. Monthly precipitation (PPT) and potential evapotranspiration (PET) have been estimated from the 50th percentile of gridded values (PRISM 1981-2010) overlapping with the extent of SSURGO map units containing each series as a major component. Monthly PET values were estimated using the method of Thornthwaite (1948). These (and other) climatic parameters are calculated with each SSURGO refresh and provided by the fetchOSD function of the soilDB package. Representative water storage values (“AWC” in the figures) were derived from SSURGO by taking the 50th percentile of profile-total water storage (sum[awc_r * horizon thickness]) for each soil series. Note that this representation of “water storage” is based on the average ability of most plants to extract soil water between 15 bar (“permanent wilting point”) and 1/3 bar (“field capacity”) matric potential. Soil moisture state can be roughly interpreted as “dry” when storage is depleted, “moist” when storage is between 0mm and AWC, and “wet” when there is a surplus. Clearly there are a lot of assumptions baked into this kind of monthly water balance. This is still a work in progress.

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Sibling Summary

Siblings are those soil series that occur together in map units, in this case with the DENNY series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot , parsed OSD records and snapshot of SC database .

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Select annual climate data summaries for the DENNY series and siblings. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data .

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Geomorphic description summaries for the DENNY series and siblings. Series are sorted according to hierarchical clustering of proportions and relative hydrologic position within an idealized landform (e.g. top to bottom). Most soil series (SSURGO components) are associated with a hillslope position and one or more landform-specific positions: hills, mountain slopes, terraces, and/or flats. Proportions can be interpreted as an aggregate representation of geomorphic membership. The values printed to the left (number of component records) and right (Shannon entropy) of stacked bars can be used to judge the reliability of trends. Small Shannon entropy values suggest relatively consistent geomorphic association, while larger values suggest lack thereof. Source: SSURGO component records .

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There are insufficient data to create the 3D hills figure.

There are insufficient data to create the 3D mountains figure.

There are insufficient data to create the 3D terrace figure.

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Competing Series

Soil series competing with DENNY share the same family level classification in Soil Taxonomy. Source: parsed OSD records and snapshot of the SC database .

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Select annual climate data summaries for the DENNY series and competing. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data .

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Geomorphic description summaries for the DENNY series and competing. Series are sorted according to hierarchical clustering of proportions and relative hydrologic position within an idealized landform (e.g. top to bottom). Proportions can be interpreted as an aggregate representation of geomorphic membership. Most soil series (SSURGO components) are associated with a hillslope position and one or more landform-specific positions: hills, mountain slopes, terraces, and/or flats. The values printed to the left (number of component records) and right (Shannon entropy) of stacked bars can be used to judge the reliability of trends. Shannon entropy values close to 0 represent soil series with relatively consistent geomorphic association, while values close to 1 suggest lack thereof. Source: SSURGO component records .

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Click the image to view it full size.

There are insufficient data to create the 3D mountains figure.

Click the image to view it full size.

Click the image to view it full size.

Soil series sharing subgroup-level classification with DENNY, arranged according to family differentiae. Hovering over a series name will print full classification and a small sketch from the OSD. Source: snapshot of SC database .

Block Diagrams

Click a link below to display the diagram. Note that these diagrams may be from multiple survey areas.

  1. IL-2010-09-01-52 | McDonough County - 1997

    Typical pattern of soils and parent material in the Sable-Ipava association (Soil Survey of McDonough County, Illinois; 1997).

  2. IL-2010-09-01-72 | Stark County - 1996

    Typical pattern of soils and parent material in the Tama-Muscatine association (Soil Survey of Stark County, Illinois; 1996).

  3. IL-2010-09-01-76 | Stark County - 1996

    Typical pattern of soils and parent material in the Ipava-Sable association (Soil Survey of Stark County, Illinois; 1996).

  4. IL-2010-09-24-02 | Christian County -

    Typical pattern of soils and underlying material in the Ipava-Virden-Tama association (Soil Survey of Christian County, Illinois).

  5. IL-2011-06-01-01 | Brown County - 1988

    Typical pattern of soils and parent material in the Ipava-Virden association (Soil Survey of Brown County, Illinois; 1988).

  6. IL-2011-08-03-09 | Christian County - 1994

    Typical pattern of soils and parent material in the Ipava-Sable-Tama association (Soil Survey of Christian County, Illinois; 1994).

  7. IL-2011-08-03-11 | Christian County - 1994

    Typical pattern of soil and parent material in the Ipava-Virden-Tama association (Soil Survey of Christian County, Illinois; 1994).

  8. IL-2011-08-04-40 | Knox County - 1986

    Typical pattern of soils in the Ipava-Sable association (Soil Survey of Knox County, Illinois; 1986).

  9. IL-2011-08-04-41 | Knox County - 1986

    Typical pattern of soils and parent material in the Tama-Ipava association (Soil Survey of Knox County, Illinois; 1986).

  10. IL-2011-08-04-49 | Lee County - 1985

    Pattern of soils and underlying material in the Tama-Muscatine-Sable association (Soil Survey of Lee County, Illinois; 1985).

  11. IL-2011-08-04-58 | Macon County - 1990

    Typical landscape pattern of soils and parent materials in the Sable-Ipava association (Soil Survey of Macon County, Illinois; 1990).

  12. IL-2011-08-04-69 | Mercer County - 1991

    Typical pattern of soils and parent material in the Muscatine-Tama association (Soil Survey of Mercer County, Illinois; 1991).

  13. IL-2011-08-04-79 | Peoria County - 1992

    Typical pattern of soils and parent material in the Sable-Ipava association (Soil Survey of Peoria County, Illinois; 1992).

Map Units

Map units containing DENNY as a major component. Limited to 250 records.

Map Unit Name Symbol Map Unit Area (ac) Map Unit Key National Map Unit Symbol Soil Survey Area Publication Date Map Scale
Denny silt loam, 0 to 2 percent slopes45A3631729832rmnpil00919841:12000
Denny silt loam, 0 to 2 percent slopes45A26462617652rmnpil02119991:12000
Denny silt loam, 0 to 2 percent slopes45A24715298202rmnpil03920051:12000
Denny silt loam, 0 to 2 percent slopes45A6606156272rmnpil05719971:12000
Denny silt loam, 0 to 2 percent slopes45A3452117672rmnpil06119681:15840
Denny silt loam, 0 to 2 percent slopes45A4132446302rmnpil07320011:12000
Denny silt loam, 0 to 2 percent slopes45A1957283792rmnpil08320021:12000
Denny silt loam, 0 to 2 percent slopes45A7506808672rmnpil09520021:12000
Denny silt loam, 0 to 2 percent slopes45A3709215432rmnpil10320041:12000
Denny silt loam, 0 to 2 percent slopes45A115215957532rmnpil10720061:12000
Denny silt loam, 0 to 2 percent slopes45A9656340762rmnpil10920021:12000
Denny silt loam, 0 to 2 percent slopes45A130019139222rmnpil11520071:12000
Denny silt loam, 0 to 2 percent slopes45A10314045202rmnpil12920051:12000
Denny silt loam, 0 to 2 percent slopes45A2632449472rmnpil13120001:12000
Denny silt loam, 0 to 2 percent slopes45A21916721592rmnpil13719841:15840
Denny silt loam, 0 to 2 percent slopes45A2732089392rmnpil14319861:15840
Denny silt loam, 0 to 2 percent slopes45A2881986782rmnpil16120021:12000
Denny silt loam, 0 to 2 percent slopes45A16701992872rmnpil16719991:12000
Denny silt loam, 0 to 2 percent slopes45A2725420542rmnpil17119841:12000
Denny silt loam, 0 to 2 percent slopes45A1231791062rmnpil17519921:15840
Denny silt loam, 0 to 2 percent slopes45A3091794132rmnpil17919911:15840
Denny silt loam, 0 to 2 percent slopes45A3272449102rmnpil18720021:12000

Map of Series Extent

Approximate geographic distribution of the DENNY soil series. To learn more about how this distribution was mapped, or to compare this soil series extent to others, use the Series Extent Explorer (SEE) application. Source: generalization of SSURGO geometry .