Official Series Description


Lab Data Summary

Aggregate lab data for the EXUM soil series. This aggregation is based on all pedons with a current taxon name of EXUM, 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 EXUM 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 EXUM 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 EXUM 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 EXUM 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 EXUM 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.

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Click the image to view it full size.

Competing Series

Soil series competing with EXUM 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 EXUM 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 EXUM 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 EXUM, 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-2012-02-03-09 | Charles County - July 1974

    Cross section of association 1 showing topography, important soils, and underlying material (Soil Survey of Charles County, Maryland; July 1974).

  2. MD-2012-02-03-10 | Charles County - July 1974

    Cross section of association 2 showing topography, important soils, and underlying material (Soil Survey of Charles County, Maryland; July 1974).

Map Units

Map units containing EXUM 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
Exum very fine sandy loam, 0 to 2 percent slopesExA165801114263qydnc01519841:24000
Exum very fine sandy loam, 2 to 5 percent slopesExB47751114273qyfnc01519841:24000
Exum very fine sandy loam, 0 to 3 percent slopesExA100531154843w59nc01719831:24000
Exum very fine sandy loam, 0 to 2 percent slopesExA24081156423wbdnc04719861:24000
Exum silt loam, 0 to 2 percent slopesExA23111157463wfrnc04919841:24000
Exum loam, 0 to 2 percent slopesExA5246811089w705nc05119811:24000
Exum very fine sandy loam, 0 to 2 percent slopesExA80981015486132pmnc06519761:20000
Exum silt loam, 0 to 2 percent slopesExA16271159353wmvnc07319901:24000
Exum very fine sandy loam, 0 to 2 percent slopesExA34091127993scpnc07919781:24000
Exum silt loam, 0 to 2 percent slopesExA82761130373smcnc08319951:24000
Exum very fine sandy loam, 0 to 2 percent slopesExA33361130993spcnc08519841:24000
Exum very fine sandy loam, 0 to 2 percent slopesExA7351131623srdnc09119811:24000
Exum very fine sandy loam, 0 to 2 percent slopesExA14411159653wntnc10319791:24000
Exum loam, 0 to 2 percent slopesExA7621140393tnpnc13119881:24000
Exum loam, 0 to 2 percent slopesEmA116271161643ww7nc14119861:24000
Exum-Urban land complex, 0 to 2 percent slopesEuA7651161653ww8nc14119861:24000
Exum fine sandy loam, 0 to 1 percent slopesExA322871143233tyvnc14719691:15840
Exum fine sandy loam, 1 to 6 percent slopesExB46121143243tywnc14719691:15840
Exum very fine sandy loam, 0 to 1 percent slopesExA57871147643vf2nc15519721:20000
Exum silt loam, 0 to 2 percent slopesExA49871150463vq5nc16319821:24000
Exum very fine sandy loamEx40291162353wyjnc19119681:20000
Exum very fine sandy loam, 0 to 2 percent slopesExA43611164273x4qnc19519801:24000
Exum silt loam, 0 to 2 percent slopes14A206705275rnwtva17519961:24000
Exum silt loam, 0 to 3 percent slopes16A72912251343h1va18119971:24000

Map of Series Extent

Approximate geographic distribution of the EXUM 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 .