Official Series Description


Lab Data Summary

Aggregate lab data for the WATSEKA soil series. This aggregation is based on all pedons with a current taxon name of WATSEKA, 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 WATSEKA 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
110NW86091986IN111009Watseka2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties40.947825,-87.3525917
111CJR80061980IN073006Watseka2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties40.822925,-87.2168194
115C85IL1250511985IL125051Watseka3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties40.2851111,-89.8983833
9873IL0910031973IL091003Watseka2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties41.1228319,-87.5258296
9876IL0750041976IL075004Watseka1Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties40.9942803,-87.5796591
98JR79091979IN073009Watseka3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties41.2179,-87.0639333

Water Balance

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

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

Soil series sharing subgroup-level classification with WATSEKA, 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. IL-2011-08-03-08 | Cass County - 1989

    Typical pattern of soils and parent material in the Plainfield-Sparta general soil map unit (Soil Survey of Cass County, Illinois; 1989).

  2. IL-2011-08-04-24 | Henry County - 1984

    Pattern of soils in the Dickinson-Sparta association (Soil Survey of Henry County, Illinois; 1984).

  3. IL-2011-08-04-60 | Mason County - 1995

    Typical pattern of soils and parent material in the Sparta-Plainfield-Ade association (Soil Survey of Mason County, Illinois; 1995).

  4. IN-2012-01-19-35 | Lake County - July 1972

    Oakville-Tawas, Plainfield-Watseka, Maumee-Bono-Warners, and Alida-Del Rey-Whitaker soil associations. The Oakville-Tawas association is on the left (Soil Survey of Lake County, Indiana; 1972).

  5. WI-2012-03-23-30 | Pepin County - March 1964

    Cross section showing the geology and the associated soils in Pepin County (Soil Survey of Pepin County, WI; 1964).

Map Units

Map units containing WATSEKA 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
Watseka loamy fine sand, 1 to 3 percent slopes141481403203fjkkia01919781:15840
Watseka loamy fine sand, 0 to 2 percent slopes141807407945fphjia10319791:15840
Watseka loamy fine sand, 0 to 2 percent slopes1411161408720fq9jia11519841:15840
Watseka loamy fine sand, 0 to 2 percent slopes141870409922frk9ia13919861:15840
Watseka loamy fine sand, 0 to 2 percent slopes141214410259frx5ia14719731:15840
Watseka loamy sand, 0 to 2 percent slopes141285410376fs0yia15119821:15840
Watseka loamy fine sand, 0 to 2 percent slopes49A11342627858tfyil01720031:12000
Watseka loamy fine sand, 0 to 2 percent slopes, rarely flooded7049A41614452001khvcil01720031:12000
Watseka loamy fine sand, 0 to 2 percent slopes49A5435210870328s8pil03120081:12000
Orthents, loamy-Urban land-Watseka complex, 0 to 2 percent slopes2049A367225181682qhrvil03120081:12000
Watseka loamy fine sand, 0 to 2 percent slopes49A2710114395417dcril06320051:12000
Watseka loamy fine sand, 0 to 2 percent slopes49A104824463186kbil07320011:12000
Watseka loamy fine sand, 0 to 2 percent slopes49A144501755835wpzil07519801:15840
Watseka loamy fine sand, 0 to 2 percent slopes49A9451812455w8f7il09120031:12000
Watseka loamy sand, 0 to 2 percent slopes49A32081778015z0jil12519891:15840
Watseka loamy fine sand, 0 to 2 percent slopes49A9716721611t40pil13719841:15840
Watseka loamy fine sand, 0 to 2 percent slopes, rarely flooded7049A17625420952qrd1il17119841:12000
Watseka loamy fine sand, 0 to 2 percent slopes49A11925420552qrbkil17119841:12000
Watseka loamy fine sand, 0 to 2 percent slopes49A370793018vm67il19520031:12000
Watseka loamy fine sand, 0 to 2 percent slopes49A51532623878t13il19720021:12000
Watseka-Maumee loamy sandsWm380371613975dycin07319851:15840
Watseka loamy fine sandWe13631613965dybin07319851:15840
Watseka loamy fine sandWk648127250894klin08919671:15840
Wateseka loamy sand, moderately deep variantWl83527250994kmin08919671:15840
Watseka loamy sand, 0 to 1 percent slopesWeA29851638035hfzin11119901:15840
Watseka loamy sandWk145221626365g7bin14919801:15840
Watseka loamy fine sandWa4451618775ffvin18119791:20000
Watseka loamy sand, 0 to 4 percent slopes28B2208186460680vmi12319901:15840
Watseka loamy sandWt1409753601t95qwi02519721:15840
Watseka variant loamy sand, 0 to 3 percent slopesWtA2928423843g71cwi05519761:15840
Watseka loamy fine sandWb982426400g9pvwi10519701:20000
Watseka loamy sandWt746423233g6dpwi11119771:15840

Map of Series Extent

Approximate geographic distribution of the WATSEKA 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 .