Official Series Description


Lab Data Summary

Aggregate lab data for the LEAF soil series. This aggregation is based on all pedons with a current taxon name of LEAF, 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 LEAF 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
152A40A4797S1955MS059007LEAF4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties30.4677277,-88.5069809
152A40A4798S1955MS059008LEAF4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties30.4896717,-88.5244827

Water Balance

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

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

Soil series sharing subgroup-level classification with LEAF, 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-2012-04-24-12 | Greene County - June 1971

    Cross section of association 3 showing topography, important soils, and underlying material (Soil Survey of Greene County, Alabama; June 1971).

  2. FL-2012-04-25-01 | Gadsden County - January 1961

    Main geologic formations and other topographic features in a segment of Gadsden County, and the positions of soils in some soil series (Soil Survey of Gadsden County, Florida; January 1961).

  3. 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).

  4. 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).

  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-2012-03-14-06 | Bamberg County - January 1966

    Soil series and land types in soil associations 6 and 7 and their relation to the landscape and underlying material (Soil Survey of Bamberg County, SC; 1966).

  7. SC-2012-03-14-22 | Lee County - March 1963

    Major soils in association 4 and their position on the Lynches River terrace. Wehadkee silt loam, which is in soil association 7, lies between the terrace and the river (Soil Survey of Lee County, SC; 1963).

  8. SC-2012-03-14-25 | Marlboro County - November 1965

    Major soils in association 2 and their general location on the landscape (Soil Survey of Marlboro County, SC; 1965).

Map Units

Map units containing LEAF 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
Flint, Wahee, and Leaf silt loams, 0 to 5 percent slopesFwB4999328138c0g3al00319611:20000
Leaf silt loamLm775328163c0gxal00319611:20000
Leaf very fine sandy loamLc1298328995c1bral04519581:20000
Mantachie, Leaf, and Iuka soilsMk7780329470c1v2al05719631:15840
Leaf-Lenoir complexLe4810329631c208al06119731:20000
Leaf silt loamLe21700329670c21jal06320131:
Leaf-Angie associationLF15739329668c21gal06320131:
Angie-Leaf associationAS4370329644c20pal06320131:
Leaf silt loam13413330614c30zal09319761:20000
Leaf fine sandy loamLb2033330929c3c4al10119581:20000
Leaf silt loamLe802565158lz2xar01119591:20000
Leaf silt loamLe3122565463lzdrar04319721:24000
Leaf silt loamLf523566062m012ar10319691:20000
Leaf silt loamLe3737566596m0l9ar14319661:20000
Leaf complex, moundedLf1482566597m0lbar14319661:20000
Leaf fine sandy loamLea1810324972bx4zga28319621:20000
Leaf and Chastain soilsLid2435325208bxdlga60819651:20000
Chastain and Leaf soilsCls8110325884by3dga64019651:15840
Leaf silt loam, occasionally floodedLe197317252901vx9jla07319691:24000
Leaf fine sandy loamLf3067332008c4gyms02319631:15840
Leaf silt loam, 0 to 1 percent slopes, frequently floodedLeA583026422012rryzms04120121:24000
Leaf silt loam (adaton)La742333181c5psms09519631:15840
Leaf silt loam, 0 to 1 percent slopes, frequently floodedLfA477124034402lnzbms15320081:24000
Leaf silt loamLa435261115803r3cnc01319861:24000
Leaf loamLf653151114423qyxnc01519841:24000
Leaf silt loamLa416041157553wg1nc04919841:24000
Leaf loamLF460531131653srhnc09119811:24000
Leaf silt loam, 0 to 2 percent slopesLe72611135363t4gnc10119861:24000
Leaf silt loamLa151581159733wp2nc10319791:24000
Leaf loamLe37931160063wq4nc10719731:20000
Leaf silt loamLa80331161333wv7nc13719841:24000
Leaf silt loamLe177831143283tz0nc14719691:15840
Leaf loamLe27061162463wywnc19119681:20000
Leaf silt loam817661203784185va15919801:20000
Leaf silt loam8651112062041hzva19319801:20000

Map of Series Extent

Approximate geographic distribution of the LEAF 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 .