Official Series Description


Lab Data Summary

Aggregate lab data for the STEELE soil series. This aggregation is based on all pedons with a current taxon name of STEELE, 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 STEELE 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
131AM92155011992MO155001Steele4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties36.0553627,-89.9137802
131AM03201022003MO201002Steele4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties36.8960762,-89.6790085
131AM03201112003MO201011Steele4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties37.0787239,-89.7062225

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the STEELE 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 STEELE 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 STEELE 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 STEELE 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.

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Competing Series

Soil series competing with STEELE 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 STEELE series and competing. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data .

There are insufficient data to create the annual climate figure.

Geomorphic description summaries for the STEELE 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 .

There are insufficient data to create the 2D hillslope position figure.

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 STEELE, 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

No block diagrams are available.

Map Units

Map units containing STEELE 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
Sharkey-Steele complex, 0 to 1 percent slopesSm1203905643572v7s8ar09319671:20000
Steele and Tunica soilsSt19500564362ly87ar09319671:20000
Steele silty clay loamSr18660564360ly85ar09319671:20000
Sharkey and Steele soilsSn15990564358ly83ar09319671:20000
Steele loamy sandSo7940564359ly84ar09319671:20000
Steele and Crevasse soilsSs4290564361ly86ar09319671:20000
Sharkey-Steele complex, 0 to 1 percent slopesSm349715642862v7s8ar11119731:20000
Sharkey-Steele complex, 0 to 1 percent slopes, rarely flooded860601264525009882q0hjmo06919771:24000
Sharkey-Steele complex, 0 to 1 percent slopes, occasionally flooded86124339225715732r031mo06919771:24000
Alligator-Steele complex, 0 to 1 percent slopes, occasionally flooded86125186725715702r02kmo06919771:24000
Sharkey-Steele complex, 0 to 1 percent slopes, frequently flooded86123154325715752r039mo06919771:24000
Alligator-Steele complex, 0 to 1 percent slopes, rarely flooded86081311894180z0gjmo06919771:24000
Sharkey-Steele complex, 0 to 1 percent slopes, rarely flooded86060208125009902q0hjmo13319781:24000
Steele fine sand, 0 to 1 percent slopes, rarely flooded8606443425010012q0hmmo13319781:24000
Steele fine sand, 0 to 1 percent slopes, frequently flooded861067125011342q0jqmo13319781:24000
Steele sandy loam, 0 to 1 percent slopes, rarely flooded860655379899710z66xmo15519661:24000
Sharkey-Steele complex, 0 to 1 percent slopes, rarely flooded860601325009892q0hjmo15519661:24000
Steele fine sand, 0 to 1 percent slopes, frequently flooded86106925011332q0jqmo15519661:24000
Steele fine sand, 0 to 1 percent slopes, occasionally flooded8614540325716052r033mo20119781:24000
Sharkey-Steele complex, 0 to 1 percent slopes, rarely flooded860608125009912q0hjmo20119781:24000
Steele fine sand, 0 to 1 percent slopes, frequently flooded861061125011352q0jqmo20119781:24000

Map of Series Extent

Approximate geographic distribution of the STEELE 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 .