Official Series Description


Lab Data Summary

Aggregate lab data for the BENEVOLA soil series. This aggregation is based on all pedons with a current taxon name of BENEVOLA, 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 BENEVOLA 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
14898P0348S1998MD021132Benevola6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties39.3911095,-77.2522202

Water Balance

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

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.

Competing Series

Soil series competing with BENEVOLA 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 BENEVOLA 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 BENEVOLA 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 BENEVOLA, 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. MD-2010-09-07-06 | Frederick County - 2002

    Relationship of soils, topography, and underlying material in the Linganore-Hyattstown-Conestoga general soil map unit (Soil Survey of Frederick County, Maryland; 2002).

  2. MD-2010-09-10-07 | Howard County - 2008

    Relationship of soils, topography, and underlying material in the Benevola-Wiltshire general soil map unit (Soil Survey of Howard County, Maryland; 2008).

  3. MD-2012-02-03-21 | Frederick County - 2002

    Relationship of soils, topography, and underlying material in the Linganore-Hyattstown-Conestoga general soil map unit (Soil Survey of Frederick County, Maryland; 2002).

Map Units

Map units containing BENEVOLA 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
Benevola silt loam, 3 to 8 percent slopesBgB110724036512lp64md00520101:12000
Benevola silt loam, 0 to 3 percent slopesBgA32824036502lp63md00520101:12000
Benevola silt loam, 8 to 15 percent slopesBgC16124036522lp65md00520101:12000
Benevola silt loam, 3 to 8 percent slopesBcB152024939512pqs0md01320101:12000
Benevola silt loam, 8 to 15 percent slopesBcC31824939522pqs1md01320101:12000
Benevola silt loam, 0 to 3 percent slopesBcA12724939502pqrzmd01320101:12000
Benevola-Urban land complex, 0 to 8 percent slopesBdB8624939532pqs2md01320101:12000
Benevola-Urban land complex, 8 to 15 percent slopesBdC2224939542pqs3md01320101:12000
Benevola silty clay loam, 0 to 8 percent slopesBdB509561456lv7hmd02120011:12000
Benevola silty clay loam, 8 to 15 percent slopesBdC160534910kym5md02120011:12000
Benevola silt loam, 3 to 8 percent slopesBeB536792300vlg2md02720041:12000
Benevola silt loam, 0 to 3 percent slopesBeA144792299vlg1md02720041:12000
Benevola silt loam, 8 to 15 percent slopesBeC116792801vlz7md02720041:12000

Map of Series Extent

Approximate geographic distribution of the BENEVOLA 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 .