Official Series Description


Lab Data Summary

Aggregate lab data for the WANBLEE soil series. This aggregation is based on all pedons with a current taxon name of WANBLEE, 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 WANBLEE 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
6440A2492S1958SD095003WANBLEE7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties43.4622231,-101.1280594
6440A2495S1958SD095007WANBLEE7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties43.4399986,-101.0986099
6640A2511S1971SD121002Wanblee7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties43.3172226,-100.6311111

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the WANBLEE 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 WANBLEE 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 WANBLEE 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 WANBLEE 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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There are insufficient data to create the 3D flats position figure.

Competing Series

Soil series competing with WANBLEE 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 WANBLEE 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 WANBLEE 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 WANBLEE, 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-2012-03-15-42 | Haakon County - 1998

    Typical pattern of soils and parent material in the Ottumwa-Kirley and Ottumwa-Razor-Midway associations (Soil Survey of Haakon County, SD; 1998).

  2. SD-2012-03-15-93 | Shannon County - April 1971

    Representative pattern of soils in association 4 (Soil Survey of Shannon County, SD; 1971).

  3. SD-2012-03-15-97 | Todd County - April 1974

    Typical pattern of soils in association 2 (Soil Survey of Todd County, SD; 1974).

Map Units

Map units containing WANBLEE 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
Wortman-Wanblee silt loams, 0 to 2 percent slopesWw579354169cwjtsd05519921:24000
Wanblee-Wortman association, 0 to 5 percent slopesWbB8451353454cvsrsd09519711:20000
Wortman-Wanblee silt loams, 0 to 6 percent slopesWw70793534572tvtgsd09519711:20000
Wanblee-Whitelake complexWa5582353453cvsqsd09519711:20000
Wanblee-Wortman silt loams, 0 to 6 percent slopesWbA5894353051cvcrsd12119671:31680
Wanblee-Wortman silt loamsWa616354457cwv3sd12319751:20000
Wanblee-Wortman silt loams, 0 to 4 percent slopesWbB160872580985cykvsd60620111:24000
Wanblee silt loam, 0 to 4 percent slopesWaA29942580984cyktsd60620111:24000
Wortman-Wanblee silt loams, 0 to 6 percent slopesU820B60325829342tvtgsd60620111:24000
Wortman-Wanblee complex, 0 to 6 percent slopesWw273542925490cv6qsd61019651:20000
Wanblee very fine sandy loam, 0 to 6 percent slopesWa15372925501cv6nsd61019651:20000
Norrest-Wanblee complex, 2 to 9 percent slopesNrC67422582645cy3csd61120111:24000
Norrest-Wanblee complex, 2 to 9 percent slopesU530C145025828732kqrcsd61120111:24000
Wortman-Wanblee silt loams, 0 to 6 percent slopesU820B162123753992tvtgsd61220111:20000
Norrest-Wanblee complex, 2 to 9 percent slopesU530C59823753552kqrcsd61220111:20000
Wortman-Wanblee silt loams, 0 to 6 percent slopesWw2098925827452tvtgsd61320111:24000

Map of Series Extent

Approximate geographic distribution of the WANBLEE 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 .