Official Series Description


Lab Data Summary

Aggregate lab data for the FRIPP soil series. This aggregation is based on all pedons with a current taxon name of FRIPP, 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 FRIPP 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
153BS16_0191975-FL031-S16_019Fripp3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties30.4808006,-81.4147034
153BS45_0011984-FL089-S45_001Fripp3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties30.5696163,-81.4454651
153B00P0857S2000NC055001Fripp6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties35.9903908,-75.6655807
153BVPI0420V1992-VA810-420Frippn/aPrimary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties36.9081612,-76.0280914
153BVPI0421V1992-VA810-421Fripp3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties36.8940887,-75.9932022
155S55_0271978-FL109-S55_027Fripp3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties29.8075199,-81.2649155
n/aVPI0419V1992-VA810-419Frippn/aPrimary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Propertiesn/a

Water Balance

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

Click the image to view it full size.

Click the image to view it full size.

Soil series sharing subgroup-level classification with FRIPP, 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. FL-2011-05-31-08 | City of Jacksonville, Duval County - 1978

    Typical pattern of soils and parent material in an area of the Fripp-Corolla-Mandarin, Cornelia-Mandarin-Leon, and Tisonia-Maurepas general soil map units. The soils of these map units support native vegetation (Soil Survey of City of Jacksonville, Duval County, Florida; 1978).

  2. FL-2011-05-31-12 | Nassau County - 1991

    Typical pattern of soils and parent material in an area of the Kureb-Fripp-Newhan and Mandarin-Echaw map units (Soil Survey of Nassau County, Florida; 1991).

Map Units

Map units containing FRIPP 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
Fripp-Newhan complex, 5 to 30 percent slopes, rarely flooded, gulfFnE7529950352x5qjal09720181:24000
Fripp-Corolla complex, 2 to 30 percent slopes482502320836brvkfl00519821:20000
Fripp-Corolla, rarely flooded, complex, gently undulating to hilly23910738835sstdfl03119961:24000
Fripp fine sand, rolling58501329394gbcfl08919891:15840
Fripp-Satellite complex31280013920301hqj6fl10919811:20000
Fripp-Duckston complex, 0 to 20 percent slopesFdD713512540846hfga61619771:20000
Fripp-Duckston complex, 1 to 20 percent slopesFrD125512580546x7ga64419801:20000
Fripp fine sand, 2 to 30 percent slopesFr12281155943w8vnc03119841:24000
Fripp fine sand, 2 to 30 percent slopesFrD63861109793qgznc05519871:24000
Fripp-Baratari complexFb78371324224fspsc01319751:20000
Fripp-Leon complex, 0 to 6 percent slopes9B5851323044fnwsc02919801:20000
Fripp-Baratari complexFb791325514fxvsc05319751:20000
Crevasse-Dawhoo complex, rollingCvC95371382744mwgsc69019671:24000
Fripp sand, 2 to 30 percent slopes16E79012089141sqva81019821:15840

Map of Series Extent

Approximate geographic distribution of the FRIPP 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 .