Official Series Description


Lab Data Summary

Aggregate lab data for the DEGREY soil series. This aggregation is based on all pedons with a current taxon name of DEGREY, 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 DEGREY 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
53C12N7824S2011SD065003DeGrey8Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties44.3830389,-100.1306028

Water Balance

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

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Soil series sharing subgroup-level classification with DEGREY, 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-2012-03-15-23 | Douglas County - June 1981

    Pattern of soils and underlying material in the Highmore-Walke association (Soil Survey of Douglas County, SD; 1981).

  2. SD-2012-03-15-88 | Potter County - October 1985

    Pattern of soils and parent material in the Highmore association (Soil Survey of Potter County, SD; 1985).

Map Units

Map units containing DEGREY 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
DeGrey-Onita silt loams, 0 to 2 percent slopesDeA9077354839cx7fsd00319791:20000
Eakin-DeGrey silt loams, 0 to 2 percent slopesEdA57973548462wkq7sd00319791:20000
DeGrey-Jerauld silt loamsDaA2769354838cx7dsd00319791:20000
Eakin-DeGrey silt loams, 0 to 4 percent slopesEdA224973550192xhd5sd02319801:20000
DeGrey-Walke silt loams, 0 to 2 percent slopesDb200363550132wkq6sd02319801:20000
DeGrey-Jerauld silt loamsDa4924355012cxf0sd02319801:20000
DeGrey-Walke silt loams, 0 to 2 percent slopesDbA76633548872wkq6sd04319791:20000
Eakin-DeGrey silt loams, 0 to 2 percent slopesEcA20303525942wkq7sd05919591:20000
Eakin-DeGrey silt loams, 2 to 6 percent slopesEcB19693525952yyhpsd05919591:20000
Highmore-DeGrey silt loams, 0 to 2 percent slopesHgA289163532852wkp7sd06519701:20000
DeGrey-Walke silt loams, 0 to 2 percent slopesDeA112003532732wkq6sd06519701:20000
Highmore-DeGrey silt loams, 2 to 6 percent slopesHgB64353532862wkp8sd06519701:20000
Highmore-DeGrey silt loams, 0 to 2 percent slopesHdA214783538052wkp7sd06919921:20000
DeGrey-Walke silt loams, 0 to 2 percent slopesDf129513537902wkq6sd06919921:20000
Highmore-DeGrey silt loams, 2 to 6 percent slopesHdB69823538062wkp8sd06919921:20000
DeGrey silt loamDe6625355319cxqxsd10719831:20000
Highmore-DeGrey silt loams, 0 to 2 percent slopesHdA50733553342wkp7sd10719831:20000
Agar-DeGrey silt loams, 0 to 2 percent slopesAdA4021353061cvd2sd11919671:20000
Highmore-DeGrey silt loams, 0 to 2 percent slopesHdA29213530822wkp7sd11919671:20000
Onita-DeGrey silt loams, 0 to 2 percent slopesOrA2842353107cvfksd11919671:20000
Eakin-DeGrey silt loams, 0 to 2 percent slopesEaA757073554972wkq7sd60319831:20000
DeGrey-Eakin-Jerauld silt loams, 0 to 2 percent slopesDaA66883554932yyhqsd60319831:20000

Map of Series Extent

Approximate geographic distribution of the DEGREY 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 .