Official Series Description


Lab Data Summary

Aggregate lab data for the SMILEY soil series. This aggregation is based on all pedons with a current taxon name of SMILEY, 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 SMILEY 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
5678P060178MN113002Smiley7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties48.084446,-96.1452789
56UMN2404S1976MN113004 (2404)Smiley2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties48.1287003,-96.0899658
56UMN2405S1976MN113008 (2405)Smiley2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties48.0850983,-96.1114578
5692P0729S1992MN113002Smiley8Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties48.0730553,-96.0441666
57UMN3289S1900MN0073289Smiley1Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties47.8311119,-94.5045395
8878P060478MN029002Smiley6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties47.9486008,-95.3980865
88UMN2509S1977MN0292509Smiley3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties47.9727554,-95.4515381
88UMN2805S1978MN0292805Smiley3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties47.9176903,-95.3656464

Water Balance

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

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.

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Competing Series

Soil series competing with SMILEY 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 SMILEY 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 SMILEY 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.

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Soil series sharing subgroup-level classification with SMILEY, 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. MN-2010-09-08-11 | Marshall County - 2000

    Typical pattern of soils and underlying material in the Smiley-Kratka-Reiner association (Soil Survey of Marshall County, Minnesota; 2000).

Map Units

Map units containing SMILEY 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
Smiley loam7653807397558fbpgmn00519941:20000
Smiley mucky loam, 0 to 1 percent slopesI60A203422798044prphmn00719911:24000
Smiley loam, 0 to 1 percent slopesI59A201352798043prpgmn00719911:24000
Smiley loam7655266397682fbtgmn00719911:24000
Smiley muck6535211397675fbt7mn00719911:24000
Smiley loam7654791430586gg1wmn02919931:20000
Smiley loam, 0 to 1 percent slopesI59A15132798167prpgmn02919931:20000
Smiley loam, 0 to 1 percent slopesI59A785472798934prpgmn08919941:20000
Smiley mucky loam, 0 to 1 percent slopesI60A47592798935prphmn08919941:20000
Smiley loam765420357186czp4mn08919941:20000
Smiley mucky loam, depressional65334357178cznwmn08919941:20000
Smiley loam, 0 to 1 percent slopesI59A788542799205prpgmn11320031:12000
Smiley mucky loam, 0 to 1 percent slopesI60A5442799206prphmn11320031:12000
Smiley loam, 0 to 1 percent slopesI59A22722799677prpgmn11919961:20000
Smiley loam7651490352323ctm8mn11919961:20000
Smiley loam, 0 to 1 percent slopesI59A484922799806prpgmn12520011:12000
Smiley mucky loam, 0 to 1 percent slopesI60A15712799807prphmn12520011:12000

Map of Series Extent

Approximate geographic distribution of the SMILEY 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 .