Official Series Description


Lab Data Summary

Aggregate lab data for the ROLFE soil series. This aggregation is based on all pedons with a current taxon name of ROLFE, 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 ROLFE 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
10395P0228S1994IA041004Rolfe7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties43.1602745,-94.9641571

Water Balance

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

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Competing Series

Soil series competing with ROLFE 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 ROLFE 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 ROLFE 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 mountains figure.

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

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

Soil series sharing subgroup-level classification with ROLFE, 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

No block diagrams are available.

Map Units

Map units containing ROLFE 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
Rolfe silt loam, 0 to 1 percent slopes2741084032872vvf1ia02119731:15840
Rolfe silt loam, 0 to 1 percent slopes2744024034692vvf1ia02519791:15840
Rolfe silt loam, 0 to 1 percent slopes2741714038212vvf1ia03319781:15840
Rolfe silt loam, 0 to 1 percent slopes2741173993232vvf1ia04120021:12000
Rolfe silt loam, 0 to 1 percent slopes27413918690522vvf1ia05920111:12000
Rolfe silt loam, 0 to 1 percent slopes2749364065412vvf1ia08119871:15840
Rolfe silt loam, 0 to 1 percent slopes27411454475352vvf1ia09119981:12000
Rolfe silt loam, 0 to 1 percent slopes2742074083582vvf1ia10919801:15840
Rolfe silt loam, 0 to 1 percent slopes27423924992332vvf1ia14319851:15840
Rolfe silt loam, 0 to 1 percent slopes2744474102692vvf1ia14719731:15840
Rolfe silt loam, 0 to 1 percent slopes2741084103842vvf1ia15119821:15840
Rolfe silt loam, 0 to 1 percent slopes2744144107862vvf1ia16119751:15840
Rolfe silt loam, 0 to 1 percent slopes274544113062vvf1ia16919811:15840
Rolfe silt loam, 0 to 1 percent slopes2742707979422vvf1ia18720061:12000
Rolfe silt loam, 0 to 1 percent slopes27436023987192vvf1ia19520121:12000
Rolfe silt loam, 0 to 1 percent slopes2199583961542vvf1mn01319751:12000
Cordova-Rolfe complex, 0 to 2 percent slopes9788033962372vvf2mn01319751:12000
Rolfe silt loam, 0 to 1 percent slopesL175A16115299352vvf1mn03320081:12000
Rolfe silt loam, 0 to 1 percent slopes21927434302732vvf1mn07319941:20000
Cordova-Rolfe complex, 0 to 2 percent slopes97834763989812vvf2mn07919861:20000
Mazaska-Rolfe complex1962783398938fd3zmn07919861:20000
Rolfe silt loam, 0 to 1 percent slopes21921618590282vvf1mn08320081:12000
Cordova-Rolfe complex, 0 to 2 percent slopes97842603991912vvf2mn08519931:20000
Cordova-Rolfe complex, 0 to 2 percent slopes97811644364852vvf2mn09319961:20000
Rolfe silt loam, 0 to 1 percent slopes21918118594342vvf1mn10120081:12000
Cordova-Rolfe complex, 0 to 2 percent slopes97869084006292vvf2mn10319901:20000
Cordova-Rolfe complex, 0 to 2 percent slopes97818834361432vvf2mn12919951:20000
Mazaska-Rolfe complex, 0 to 2 percent slopes19621512429598gf10mn13119961:12000
Rolfe silt loam, 0 to 1 percent slopes2193984296062vvf1mn13119961:12000
Cordova-Rolfe complex, 0 to 2 percent slopes97862974315532vvf2mn14319911:20000
Cordova-Rolfe complex, 0 to 2 percent slopesL108A30604554632vvf2mn16120011:12000
Mazaska-Rolfe, depressional, complex, 0 to 2 percent slopesL128A1211455488h8z5mn16120011:12000
Cordova-Rolfe complex, 0 to 2 percent slopes9784064350112vvf2mn17119981:12000

Map of Series Extent

Approximate geographic distribution of the ROLFE 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 .