Official Series Description


Lab Data Summary

Aggregate lab data for the ROBBS soil series. This aggregation is based on all pedons with a current taxon name of ROBBS, 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 ROBBS were used in the calculation. Source: KSSL snapshot . Methods used to assemble the KSSL snapshot used by SoilWeb / SDE

There are insufficient data to create the lab data summary figure.


Water Balance

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

There are insufficient data to create the 3D terrace figure.

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

Competing Series

Soil series competing with ROBBS 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 ROBBS series and competing. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data .

Click the image to view it full size.

Geomorphic description summaries for the ROBBS 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 .

Click the image to view it full size.

Click the image to view it full size.

There are insufficient data to create the 3D mountains figure.

Click the image to view it full size.

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

Soil series sharing subgroup-level classification with ROBBS, 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-2011-08-04-37 | Johnson County - 2009

    Relationship of soils in general soil area X (to the left of the bottomland), of two soils of area Z (in the bottomland), and of Wartrace in area U (to the right of the bottomland) to slope, loess depth, and kind and topography of bedrock. Numbers on the landscape represent the following soils: 355 ─ Robbs silt loam, 301 ─ Grantsburg silt loam, 340 ─ Zanesville silt loam, 339-425 ─ Wellston silt loam-Muskingum stony silt loam complex, 9 ─ Rocky sandstone land, 382 ─ Belknap silt loam, 72 ─ Sharon silt loam, and 215 ─ Wartrace silt loam (Soil Survey of Johnson County, Illinois; 2009).

  2. KY-2012-01-26-39 | Breckinridge and Meade Counties - 2001

    Typical relationship of soils to topography and the underlying material in the Sadler-Zanesville general soil map unit (Soil Survey of Breckinridge and Meade Counties, Kentucky; 2001).

  3. KY-2012-01-26-40 | Breckinridge and Meade Counties - 2001

    Typical relationship of soils to topography and the underlying material in the Rosine-Gilpin-Zanesville general soil map unit (Soil Survey of Breckinridge and Meade Counties, Kentucky; 2001).

Map Units

Map units containing ROBBS 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
Robbs silt loam, 1 to 4 percent slopes335B12331754595wkzil04719671:15840
Robbs silt loam, 4 to 7 percent slopes, eroded335C23351754605wl0il04719671:15840
Robbs silt loam, 1 to 4 percent slopes335B114713907ryw8il06920031:12000
Robbs silt loam, 1 to 4 percent slopes335B401114565317g4kil08720051:12000
Robbs silt loam, 1 to 4 percent slopes335B470608051ndqkil15120031:12000
Robbs silt loam, 1 to 4 percent slopes335B11914781161lm35il19920071:12000
Robbs silt loam, 0 to 2 percent slopesuRobA51225838912pz0lky03320051:12000
Robbs silt loam, 0 to 2 percent slopesuRobA49425838382pz0lky05519851:20000
Robbs silt loam, 0 to 2 percent slopesuRobA187725838732pz0lky10119641:15840
Robbs silt loam, 0 to 2 percent slopesuRobA871125838882pz0lky10719741:12000
Robbs silt loam, 0 to 2 percent slopesuRobA61125838572pz0lky18319831:20000
Robbs silt loam, 0 to 2 percent slopesuRobA332525838512pz0lky60719921:20000
Robbs silt loam, 0 to 2 percent slopesuRobA695025838592pz0lky61519711:20000
Robbs-Urban land complex, 0 to 2 percent slopesuRulA17530987382wv5rky61519711:20000
Robbs silt loam, 0 to 2 percent slopesuRobA443825838692pz0lky63119761:20000
Robbs silt loam, 0 to 2 percent slopesuRobA388425838452pz0lky63519781:20000

Map of Series Extent

Approximate geographic distribution of the ROBBS 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 .