Official Series Description


Lab Data Summary

Aggregate lab data for the SPICER soil series. This aggregation is based on all pedons with a current taxon name of SPICER, 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 SPICER 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
103UMN2298S1976MN173000(2298)Spicer2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties44.775013,-95.6349411
103UMN2651S1978MN064118 (2651)Spicer3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties45.0057602,-95.1527481

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the SPICER 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 SPICER 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 SPICER 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 SPICER 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 SPICER 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 SPICER 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 SPICER 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 SPICER, 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. IA-2011-06-01-27 | Osceola County - 1988

    Typical pattern of soils and parent material in the Sac-Primghar association (Soil Survey of Osceola County, Iowa; 1988).

Map Units

Map units containing SPICER 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
Spicer silty clay loam, 0 to 2 percent slopes32372403294fjnhia02119731:15840
Spicer silty clay loam, MLRA 107, 0 to 2 percent slopes32104424953192psybia05920111:12000
Spicer silty clay loam, 0 to 2 percent slopes103287318690202t3nnia05920111:12000
Spicer silty clay loam, 0 to 2 percent slopes103236394065152t3nnia08119871:15840
Spicer silty clay loam, 0 to 2 percent slopes103218344083332t3nnia10919801:15840
Spicer silty clay loam, 0 to 2 percent slopes321216409100fqpsia11919731:15840
Spicer silty clay loam, 0 to 2 percent slopes32866410073frq5ia14119771:15840
Spicer silty clay loam, 0 to 2 percent slopes322747410138frs8ia14319851:15840
Spicer silty clay loam, 0 to 2 percent slopes32653411219fsx4ia16719871:15840
Spicer silty clay loam, 0 to 2 percent slopes14024323961422t3nnmn01319751:12000
Spicer silty clay loam, 0 to 2 percent slopes1406553962592t3nnmn01519841:20000
Colvin-Spicer silty clay loams8478855396527f9m6mn02319801:15840
Spicer-Quam silty clay loams18022828396496f9l6mn02319801:15840
Spicer silty clay loam, 0 to 2 percent slopesL196A99615299322t3nnmn03320081:12000
Spicer silty clay loam, 0 to 2 percent slopes140101643970842t3nnmn04319891:20000
Spicer silty clay loam, 0 to 2 percent slopes14022113978122t3nnmn04719771:15840
Spicer silt loam, depressional3912008397859fc05mn04719771:15840
Spicer-Lura complex81325837398520fcphmn06319841:20000
Spicer silty clay loam, 0 to 2 percent slopes14042243986762t3nnmn06719831:20000
Spicer silty clay loam, 0 to 2 percent slopes14025184000292t3nnmn09119851:20000
Spicer silty clay loam, 0 to 2 percent slopes14031044362342t3nnmn09319961:20000
Spicer silty clay loam, 0 to 2 percent slopes140375418594262t3nnmn10120081:12000
Spicer silty clay loam, 0 to 2 percent slopesP31A494630056p4mdmn10520041:12000
Spicer silty clay loam, 0 to 2 percent slopesP31A918432686gj7mmn13320021:12000
Spicer silty clay loam, 0 to 2 percent slopes14056554289202t3nnmn16519871:20000
Spicer silty clay loam, 0 to 2 percent slopes1401768016535662t3nnmn17319791:20000

Map of Series Extent

Approximate geographic distribution of the SPICER 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 .