Official Series Description


Lab Data Summary

Aggregate lab data for the TORHUNTA soil series. This aggregation is based on all pedons with a current taxon name of TORHUNTA, 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 TORHUNTA 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
133AS32_0141974-FL063-S32_014Torhunta3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties30.9977703,-85.1498337

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the TORHUNTA 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 TORHUNTA 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 TORHUNTA 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 TORHUNTA 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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Click the image to view it full size.

Competing Series

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

There are insufficient data to create the annual climate figure.

Geomorphic description summaries for the TORHUNTA 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 .

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.

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

Soil series sharing subgroup-level classification with TORHUNTA, 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. NC-2012-02-07-02 | Carteret County - September 1987

    Very poorly drained soils high in organic matter are on narrow flood plains. Well drained soils low in organic matter are near drainageways (Soil Survey of Carteret County, North Carolina; September 1987).

  2. NC-2012-02-07-09 | Craven County - March 1989

    On uplands of the Talbot and Wicomico surfaces, soil texture is influenced by the sediment in which the soils formed. Natural drainage and organic matter content are related to position on the landscape (Soil Survey of Craven County, North Carolina; March 1989).

  3. NC-2012-02-07-26 | Jones County - November 1981

    The distinctive pattern of the Rains-Goldsboro-Lynchburg, Pantego-Tohunta, and Croatan general soil map units. Croatan muck is slightly higher in elevation than the surrounding mineral soils (Soil Survey of Jones County, North Carolina; November 1981).

Map Units

Map units containing TORHUNTA 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
Torhunta-Lynn Haven-Croatan complex, frequently flooded4723965322736bttvfl07720041:24000
Torhunta sandy loamTr85981116133r4fnc01319861:24000
Lynn Haven and Torhunta soilsLy477801155003w5tnc01719831:24000
Torhunta mucky sandy loamTr195741155163w6bnc01719831:24000
Torhunta mucky fine sandy loamTo487401155593w7qnc01919831:24000
Torhunta mucky fine sandy loamTo143961156243w9tnc03119841:24000
Torhunta fine sandy loamTo261321156683wc7nc04719861:24000
Torhunta fine sandy loamTo115641157853wh0nc04919841:24000
Torhunta-Urban land complexTc3251157833wgync04919841:24000
Torhunta and Lynn Haven soilsTR24518811149w723nc05119811:24000
Torhunta mucky fine sandy loam, 0 to 1 percent slopesToA23345186601720mr3nc06119551:24000
Torhunta and Lynn Haven soilsTR1950811305w774nc09319811:24000
Torhunta fine sandy loamTo168271159893wplnc10319791:24000
Torhunta loamTo99521160243wqqnc10719731:20000
Torhunta loamy fine sandTo29141160603wrwnc12919741:15840
Torhunta fine sandy loamTo262381161023wt7nc13319841:24000
Torhunta mucky fine sandy loamTo231411161933wx5nc14119861:24000
Torhunta loamTo30121147923vfznc15519721:20000
Torhunta fine sandy loamTr68771150753vr3nc16319821:24000
Torhunta loamTo103971162663wzjnc19119681:20000
Torhunta-Osier association73181031323034fnvsc02919801:20000
Torhunta loam25675012086541rwva80019791:15840

Map of Series Extent

Approximate geographic distribution of the TORHUNTA 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 .