Official Series Description


Lab Data Summary

Aggregate lab data for the KALMIA soil series. This aggregation is based on all pedons with a current taxon name of KALMIA, 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 KALMIA were used in the calculation. Source: KSSL snapshot . Methods used to assemble the KSSL snapshot used by SoilWeb / SDE

Click the image to view it full size.

Pedons used in the lab summary:

MLRALab IDPedon IDTaxonnameCINSSL / NASIS ReportsLink To SoilWeb GMap
133AS57_0361975-FL113-S57_036Kalmia3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties30.8745937,-87.285408

Water Balance

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

Click the image to view it full size.



Click the image to view it full size.

Sibling Summary

Siblings are those soil series that occur together in map units, in this case with the KALMIA series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot , parsed OSD records and snapshot of SC database .

Click the image to view it full size.

Select annual climate data summaries for the KALMIA series and siblings. 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 KALMIA 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 .

Click the image to view it full size.

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.

Competing Series

Soil series competing with KALMIA share the same family level classification in Soil Taxonomy. Source: parsed OSD records and snapshot of the SC database .

Click the image to view it full size.

Select annual climate data summaries for the KALMIA 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 KALMIA 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 KALMIA, 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-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).

  2. 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).

  3. SC-2012-03-14-09 | Calhoun County - 1963

    Major soils in the Izagor-Myatt soil association and their relationship to the landscape (Soil Survey of Calhoun County, SC; 1963).

  4. 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).

Map Units

Map units containing KALMIA 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
Kalmia fine sandy loam, 2 to 5 percent slopesKaB1143328155c0gnal00319611:20000
Kalmia fine sandy loam, 0 to 2 percent slopesKaA999328154c0gmal00319611:20000
Kalmia fine sandy loam167300328654c0zral03119761:20000
Kalmia loamy fine sand, 0 to 2 percent slopes, rarely floodedKaA2211328767c13dal03919851:20000
Kalmia fine sandy loam, levelKaA2961328987c1bhal04519581:20000
Kalmia fine sandy loam, very gently slopingKaB509328988c1bjal04519581:20000
Kalmia loamy fine sand, thick surfaceKb222328989c1bkal04519581:20000
Kalmia loamy sandKb3223329272c1mpal05119481:20000
Kalmia sandy loamKa2365329271c1mnal05119481:20000
Kalmia fine sandy loamKa4921329341c1pxal05319691:20000
Bigbee-Kalmia-Eunola associationBK12580329617c1ztal06119731:20000
Kalmia loamy sand, 0 to 3 percent slopesKaA7326329630c207al06119731:20000
Myatt-Kalmia complex, mound phase (amy, kalmia)MK18336565161lz30ar01119591:20000
Stough-Kalmia complex, 0 to 2 percent slopesSK127295652042ykh3ar01119591:20000
Kalmia fine sandy loam, nearly level low terrace phaseKaB1982565155lz2tar01119591:20000
Kalmia fine sandy loam, gently sloping low terrace phaseKaC1181565156lz2var01119591:20000
Kalmia loamy fine sand, 2 to 5 percent slopes191430823766wn63fl11319781:24000
Kalmia loamy fine sand, 0 to 3 percent slopesKaA4981154943w5mnc01719831:24000
Kalmia loamy sand, 0 to 2 percent slopesKaA1284811111w70wnc05119811:24000
Kalmia loamy sand, 0 to 2 percent slopesKaA838186597120mpmnc06119551:24000
Kalmia loamy sand, 0 to 3 percent slopesKaA29451128063scxnc07919781:24000
Kalmia loamy sand, 0 to 2 percent slopesKaA440811284w76gnc09319811:24000
Kalmia loamy sand, 0 to 3 percent slopesKaA9881159713wp0nc10319791:24000
Kalmia loamy sand, 0 to 2 percent slopesKa48801160023wq0nc10719731:20000
Kalmia loamy sand, 2 to 6 percent slopesKb33971160033wq1nc10719731:20000
Kalmia sandy loam, 0 to 2 percent slopes, rarely floodedKaA103024503992n7v4nc12519871:24000
Kalmia loamy fine sand, 0 to 2 percent slopesKaA7721161723wwhnc14119861:24000
Kalmia loamy sand, 0 to 2 percent slopesKaA22671147703vf8nc15519721:20000
Kalmia loamy sand, 0 to 3 percent slopesKaA31301150553vqgnc16319821:24000
Kalmia loamy sand, 0 to 2 percent slopesKaA27114124331jdrcnc16520061:12000
Kalmia loamy sand, 0 to 2 percent slopesKaA30291162393wynnc19119681:20000
Kalmia loamy sand, 2 to 6 percent slopesKaB5911162403wypnc19119681:20000
Kalmia loamy sandKa18001299604c78sc04119691:20000
Kalmia loamy sand, wet substratum, 0 to 2 percent slopes, rarely floodedKaA57016065751qxs0sc06120051:24000
Kalmia-Johns complex, 0 to 2 percent slopes, rarely floodedKaA54124859232pft2sc08519691:20000
Kalmia sandy loam, 0 to 4 percent slopes12B17161189433zrwva07319781:15840
Kalmia fine sandy loam, 0 to 2 percent slopesKaA204119239402fva08719731:15840
Kalmia fine sandy loam, 2 to 10 percent slopesKaC136119240402gva08719731:15840
Kalmia fine sandy loam, wet substratum, 0 to 2 percent slopes10A170012084041r2va80019791:15840
Kalmia fine sandy loam, wet substratum, 2 to 6 percent slopes10B140012084141r3va80019791:15840

Map of Series Extent

Approximate geographic distribution of the KALMIA 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 .