Official Series Description


Lab Data Summary

Aggregate lab data for the LENOIR soil series. This aggregation is based on all pedons with a current taxon name of LENOIR, 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 LENOIR 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
133AS89AL-131-389AL131003-pgmLenoir3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties31.8336111,-87.4047222

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the LENOIR 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 LENOIR 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 LENOIR 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 LENOIR 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 LENOIR 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 LENOIR 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 LENOIR 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 LENOIR, 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. AL-2010-02-25-02 | Wilcox County - March 1999

    Generalized patterns of soils, geomorphology, and landscape relationships in the Urbo-Mooreville-Una, Annemaine-Izagora-Lenoir, Luverne-Halso, Arundel-Cantuche, and Bama-Malbis-Luverne general soil map units along the Alabama River in the central part of Wilcox County (Soil Survey of Wilcox County, Alabama; 1999).

  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-2012-02-07-25 | Jones County - November 1981

    The relationship of soils and landscape to seasonal high water table in Jones County (Soil Survey of Jones County, North Carolina; November 1981).

  4. NC-2012-02-07-32 | Northampton County - August 1994

    Typical relationship of soils and landscape in the Craven-Bethera-Lenoir, Wickham-Altavista, and Wehadkee-Congaree general soil map units (Soil Survey of Northampton County, North Carolina; August 1994).

  5. NC-2012-02-07-36 | Pamlico County - August 1987

    The soils on the uplands of the Talbot Surface formed in loamy or clayey sediment or in muck (Soil Survey of Pamlico County, North Carolina; August 1987).

  6. SC-2012-03-14-26 | Marlboro County - November 1965

    Major soils in association 3 and their general location on the landscape (Soil Survey of Marlboro County, SC; 1965).

Map Units

Map units containing LENOIR 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
Lenoir silt loam, 0 to 2 percent slopes, rarely floodedLfA6850328599c0xzal02319981:24000
Lenoir silt loam, 0 to 2 percent slopes, occasionally floodedLeA36806001052svp1al02520041:24000
Chewacla-Lenoir-Riverview associationCn17595329320c1p7al05319691:20000
Lenoir fine sandy loamLe2730329343c1pzal05319691:20000
Riverview-Lenoir complexRe1574329359c1qhal05319691:20000
Leaf-Lenoir complexLe4810329631c208al06119731:20000
Lenoir silt loam, 0 to 2 percent slopes, occasionally floodedLnA1316225149282svp1al08520111:24000
Chrysler-Lenoir complex, gently undulating, occasionally floodedChB9890330569c2zjal09119971:24000
Chrysler-Lenoir complex, 0 to 3 percent slopes, rarely floodedClB132129950462x5qnal09720181:24000
Lenoir loam, 0 to 2 percent slopes, frequently floodedLaA6740330842c38bal09919841:20000
Lenoir silt loam, 0 to 2 percent slopes, occasionally floodedLnA49326420982rjs6al12920131:24000
Lenoir silt loam, 0 to 2 percent slopes, occasionally floodedLbA115903316582svp1al13119971:24000
Lenoir silt loamLn8207332269c4rcms03919671:20000
Lenoir silt loam, 0 to 1 percent slopes45875332580c52dms05919971:24000
Lenoir loamLe329371115813r3dnc01319861:24000
Lenoir fine sandy loamLn212501114433qyync01519841:24000
Lenoir silt loamLe215991157573wg3nc04919841:24000
Lenoir loamLd1740811121w716nc05119811:24000
Lenoir loam, 0 to 2 percent slopesLeA59551159383wmync07319901:24000
Lenoir loamLn193801131663srjnc09119811:24000
Lenoir loamLe96321159743wp3nc10319791:24000
Lenoir loamLn13931160083wq6nc10719731:20000
Lenoir loamLe73831111323qmxnc11719851:24000
Lenoir silt loam, 0 to 2 percent slopesLe221711140473tnync13119881:24000
Lenoir loamLe14181160843wsnnc13319841:24000
Lenoir silt loamLe15851161343wv8nc13719841:24000
Lenoir loam, 0 to 1 percent slopesLoA189521143303tz2nc14719691:15840
Lenoir-Keyport silt loams, 0 to 5 percent slopesLenB7281351714jncnj02119691:24000
Lenoir loam, flooded, 0 to 4 percent slopes67B9651189283zrdva04119741:15840
Lenoir silt loam, 0 to 4 percent slopes30B7171188903zq5va04119741:15840
Lenoir loam436301191213zymva08519761:15840
Lenoir silt loamLe4182119252402vva08719731:15840
Lenoir silt loamLe20511975140lyva13319601:20000
Lenoir silt loam9240512062141j0va19319801:20000

Map of Series Extent

Approximate geographic distribution of the LENOIR 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 .