Official Series Description


Lab Data Summary

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

There are insufficient data to create the lab data summary figure.


Water Balance

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

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Click the image to view it full size.

Competing Series

Soil series competing with SWANTON 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 SWANTON 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 SWANTON 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 SWANTON, 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. NH-2012-02-14-25 | Strafford County - March 1973

    Typical pattern of soils and underlying material in the Hollis-Charlton-Buxton-Scantic association (Soil Survey of Strafford County, New Hampshire; March 1973).

  2. NY-2010-09-28-06 | Clinton County - 2006

    Soils in the Muskellunge-Adjidaumo-Swanton general soil map unit are used for growing corn, hay, and pasture. Because of a seasonal high water table, surface and subsurface drainage is commonly used to improve growing conditions for crops (Soil Survey of Clinton County, New York; 2006).

  3. NY-2010-09-28-29 | St. Lawrence County - 2005

    Typical landscape of soils and underlying material in the Hogansburg-Muskellunge-Grenville association (Soil Survey of St. Lawrence County, New York; 2005).

  4. OH-2012-02-16-11 | Ashtabula County - May 1973

    Soil pattern in the Elnora-Colonie-Kingsville soil association (Soil Survey of Ashtabula County, Ohio; May 1973).

  5. OH-2012-02-16-12 | Ashtabula County - May 1973

    Soil pattern in the Conneaut-Swanton-Claverack soil association (Soil Survey of Ashtabula County, Ohio; May 1973).

Map Units

Map units containing SWANTON 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
Swanton fine sandy loam, 0 to 3 percent slopes40A358790778vjvzma60519771:15840
Swanton fine sandy loam, 3 to 8 percent slopes40B108790781vjw2ma60519771:15840
Swanton fine sandy loamSz7325315739blk4me00519691:24000
Swanton fine sandy loam, 0 to 3 percent slopesSzA42512848799kfnme60619661:15840
Swanton fine sandy loam, 0 to 3 percent slopesSwA22572799309d90nh01719681:20000
Swanton fine sandy loam, 3 to 8 percent slopesSwB4372799319d91nh01719681:20000
Swanton very fine sandy loamSz34552902409r0lny01919951:24000
Swanton fine sandy loam, neutral variant, 0 to 3 percent slopesSoa11912677542bmfyny03320181:24000
Swanton fine sandy loam, 0 to 2 percent slopesSoA19242677800bmp3ny04920181:24000
Swanton fine sandy loamSw9842926379thxny05319751:15840
Swanton fine sandy loamSw7242941569w2xny07519731:15840
Swanton fine sandy loamSw294562950239wzwny08919901:24000
Swanton very fine sandy loam48792960679y2kny68919991:24000
Swanton fine sandy loamSw6492868439mh0oh08519761:15840
Swanton fine sandy loamSw57592813159fqpvt00119671:15840
Swanton fine sandy loam, 0 to 3 percent slopesSdA22482792789clzvt01319561:20000
Swanton fine sandy loam, 3 to 8 percent slopesSdB2562792799cm0vt01319561:20000

Map of Series Extent

Approximate geographic distribution of the SWANTON 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 .