Official Series Description


Lab Data Summary

Aggregate lab data for the OKATON soil series. This aggregation is based on all pedons with a current taxon name of OKATON, 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 OKATON 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
63B78P036278SD053009Okaton8Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties43.3944435,-99.1875
63B83P056083SD085003Okaton7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties43.5291672,-99.390831

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the OKATON 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 OKATON 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 OKATON 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 OKATON 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 mountains figure.

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Competing Series

Soil series competing with OKATON 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 OKATON 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 OKATON 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.

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 OKATON, 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. SD-2012-03-15-39 | Haakon County - 1998

    Typical pattern of soils and parent material in the Nimbro, Samsil-Pierre, and Kirley-Lakoma-Vivian associations (Soil Survey of Haakon County, SD; 1998).

  2. SD-2012-03-15-61 | Jones County - 1999

    Typical pattern of soils and parent material in the Okaton-Lakoma association (Soil Survey of Jones County, SD; 1999).

Map Units

Map units containing OKATON 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
Okaton silty clay, 15 to 40 percent slopesOeF73883550552ynv6sd02319801:20000
Okaton-Lakoma silty clays, 15 to 40 percent slopesObE527753552702tj7ssd05319821:20000
Lakoma-Okaton silty clays, 6 to 15 percent slopesLoD48773552552tj7qsd05319821:20000
Okaton-Mariaville complex, 15 to 50 percent slopesOcF3092355271cxpcsd05319821:20000
Okaton-Lakoma silty clays, 15 to 40 percent slopesObE639953541222tj7ssd05519921:24000
Okaton-Lakoma silty clays, 15 to 40 percent slopesObE755693536572tj7ssd07519911:24000
Okaton-Wendte-Bullcreek complex, 0 to 45 percent slopesOkE21701353658cw0bsd07519911:24000
Okaton silty clay, 6 to 40 percent slopesOaF32873536562yntysd07519911:24000
Lakoma-Okaton silty clays, 6 to 15 percent slopesLbD300513555782tj7qsd08519841:20000
Okaton-Lakoma silty clays, 15 to 40 percent slopesOhE752127389612tj7ssd08519841:20000
Okaton-Lakoma silty clays, 15 to 40 percent slopesObE12413327389622tj7ssd09519711:20000
Lakoma-Okaton silty clays, 6 to 15 percent slopesLdD5538627389552tj7qsd09519711:20000
Okaton silty clay, 6 to 40 percent slopesOkF23593553542yntysd10719831:20000
Lakoma-Okaton silty clays, 6 to 15 percent slopesLkD262333534812tj7qsd11719771:24000
Okaton-Lakoma silty clays, 15 to 40 percent slopesOkE203553534952tj7ssd11719771:24000
Okaton-Wendte-Bullcreek complex, 0 to 45 percent slopesOfE46110159571335tsd11719771:24000
Lakoma-Okaton silty clays, 6 to 15 percent slopesLoD443643544062tj7qsd12319751:20000
Okaton-Lakoma silty clays, 15 to 40 percent slopesOBE216313544192tj7ssd12319751:20000
Boyd-Okaton association, 9 to 25 percent slopesBOD20184354374cwrfsd12319751:20000
Okaton-Rock outcrop complex, 25 to 60 percent slopesOcF10327354420cwsxsd12319751:20000
Okaton association, 25 to 40 percent slopesOAF5882354418cwsvsd12319751:20000
Okaton bouldery silty clay, 15 to 40 percent slopesOeF3831355528cxynsd60319831:20000

Map of Series Extent

Approximate geographic distribution of the OKATON 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 .