Official Series Description


Lab Data Summary

Aggregate lab data for the PENO soil series. This aggregation is based on all pedons with a current taxon name of PENO, 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 PENO 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 PENO 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 PENO 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 PENO 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 PENO 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 PENO 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 PENO 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 PENO 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.

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

Soil series sharing subgroup-level classification with PENO, 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-2012-03-15-57 | Jerauld County - September 1994

    Pattern of soils and parent material in the Homme-Peno association (Soil Survey of Jerauld County, SD; 1994).

  2. SD-2012-03-15-88 | Potter County - October 1985

    Pattern of soils and parent material in the Highmore association (Soil Survey of Potter County, SD; 1985).

Map Units

Map units containing PENO 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
Raber-Peno loams, 2 to 6 percent slopesRpB8733337042wkpdsd00319791:20000
Raber-Peno loams, 6 to 9 percent slopesRrC197763526742wkp6sd05919591:20000
Peno-Raber loams, hillyZrD15821352708cv0psd05919591:20000
Gettys-Peno complex, steepZrE7186352709cv0qsd05919591:20000
Gettys-Peno complex, steepZmE2732352707cv0nsd05919591:20000
Peno-Raber loams, hillyZmD1211352706cv0msd05919591:20000
Peno-Gettys clay loams, 9 to 15 percent slopesPeD106663533162wkqfsd06519701:20000
Raber-Peno loams, 6 to 9 percent slopesRbC30663533232wkp6sd06519701:20000
Peno-Bullcreek complex, 3 to 15 percent slopesPnD913353317cvnbsd06519701:20000
Raber-Peno loams, 6 to 9 percent slopesRpC101283538442wkp6sd06919921:20000
Eakin-Peno complex, 6 to 9 percent slopesEpC91623537932xhc1sd06919921:20000
Raber-Peno loams, 2 to 6 percent slopesRpB57143538432wkpdsd06919921:20000
Peno-Gettys clay loams, 9 to 15 percent slopesPgD50003538342wkqfsd06919921:20000
Homme-Peno complex, 2 to 6 percent slopesHpB13237356442cyx4sd07319871:20000
Peno-Gettys complex, 6 to 9 percent slopesPgC5588356453cyxhsd07319871:20000
Peno-Gettys clay loams, 9 to 15 percent slopesGpD32963564342wkqfsd07319871:20000
Homme-Peno complex, 6 to 9 percent slopesHpC2551356443cyx5sd07319871:20000
Raber-Peno loams, 2 to 6 percent slopesRpB197033337082wkpdsd07319871:20000
Eakin-Peno complex, 2 to 6 percent slopesEpB294183553242yyhvsd10719831:20000
Raber-Peno loams, 6 to 9 percent slopesRhC49363553672wkp6sd10719831:20000
Highmore-Peno complex, stony, 2 to 6 percent slopesHgB4504355336cxrgsd10719831:20000
Highmore-Peno complex, stony, 6 to 9 percent slopesHgC3638355337cxrhsd10719831:20000
Eakin-Peno complex, 6 to 9 percent slopesEpC355135532530t2jsd10719831:20000
Lowry-Peno complex, 9 to 15 percent slopesLpD1169355349cxrwsd10719831:20000
Lowry-Peno complex, 6 to 9 percent slopesLpC1147355348cxrvsd10719831:20000
Raber-Peno loams, 2 to 6 percent slopesRpB103863531222wkpdsd11919671:20000
Raber-Peno loams, 6 to 9 percent slopesRpC52493531232wkp6sd11919671:20000
Raber-Peno loams, 2 to 6 percent slopesRpB263033336952wkpdsd60319831:20000
Raber-Peno loams, 6 to 9 percent slopesRpC184533336902wkp6sd60319831:20000
Peno-Gettys clay loams, 9 to 15 percent slopesGeE11843555012wkqfsd60319831:20000

Map of Series Extent

Approximate geographic distribution of the PENO 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 .