Official Series Description


Lab Data Summary

Aggregate lab data for the SHARONDALE soil series. This aggregation is based on all pedons with a current taxon name of SHARONDALE, 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 SHARONDALE 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
12582P057982KY195013Sharondale3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties37.4711113,-82.4116669
12583KY-195-01083KY-195-010Sharondalen/aPrimary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties37.4367332,-82.4120712
12583P064283KY195 Sharondale-OSDSharondale7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties37.4708333,-82.4113889
n/a77KY-131-00277KY-131-002Sharondale4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Propertiesn/a

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the SHARONDALE 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 SHARONDALE 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 SHARONDALE 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 SHARONDALE 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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Competing Series

Soil series competing with SHARONDALE 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 SHARONDALE 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 SHARONDALE 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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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.

There are insufficient data to create the 3D flats position figure.

Soil series sharing subgroup-level classification with SHARONDALE, 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. KY-2012-01-26-26 | Bell and Harlan Counties - December 1992

    Typical pattern of soils in the Kimper-Shelocta-Varilla general soil map unit, showing the relationship of the soils to parent material and topography (Soil Survey of Bell and Harlan Counties, Kentucky; December 1992).

  2. KY-2012-02-01-37 | Pike County - June 1990

    Along the Levisa and Russell Forks of the Big Sandy River, the soils in the valleys are in the Nelse-Shelbiana-Udorthents general soil map unit and those on the mountains are in the Marrowbone-Fedscreek-Kimper-Dekalb map unit (Soil Survey of Pike County, Kentucky; June 1990).

  3. KY-2012-02-01-38 | Pike County - June 1990

    Along the major tributaries in Pike County, the soils on the mountains are in the Marrowbone-Fedscreek-Kimper-Dekalb general soil map unit and those in the valleys are in the Yeager-Grigsby-Potomac-Hayter map unit (Soil Survey of Pike County, Kentucky; June 1990).

  4. KY-2012-02-01-39 | Pike County - June 1990

    Along Elkhorn Creek and Pine Mountain, the upper faulted mountains are in the Kimper-Sharondale-Berks-Shelocta general soil map unit, the lower mountains are in the Marrowbone-Fedscreek-Kimper-Dekalb map unit, and the valley is in the Yeager-Grigsby-Potomac-Hayter map unit (Soil Survey of Pike County, Kentucky; June 1990).

Map Units

Map units containing SHARONDALE 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
Kimper-Sharondale-Muskingum complex, 30 to 80 percent slopes, very stonyKsF49640550038lgc5ky19519861:24000
Kimper-Sharondale-Muskingum complex, 35 to 80 percent slopes, extremely stonyKmF4993550037lgc4ky19519861:24000
Kimper-Renox-Sharondale complex, very rocky, 35 to 75 percent slopesKrF4725552125ljjhky63819891:24000
Berks-Highsplint-Sharondale complex, 35 to 80 percent slopes, very stonyBhG194224799102p7k3wv62120101:12000
Berks-Highsplint-Sharondale complex, 35 to 80 percent slopes, very stonyBhG20429725130892qdntwv70520091:24000

Map of Series Extent

Approximate geographic distribution of the SHARONDALE 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 .