Official Series Description


Lab Data Summary

Aggregate lab data for the OCCUM soil series. This aggregation is based on all pedons with a current taxon name of OCCUM, 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 OCCUM 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
144A40A047055NH017002Occum4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties43.2125015,-70.9416656
144A40A047158NH013001Occum6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties43.228611,-71.5533371
144A40A047858NH013002Occum6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties43.2283325,-71.5383301
144A00P1229S2000CT013005Occum6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties41.815567,-72.3152313

Water Balance

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

Click the image to view it full size.

There are insufficient data to create the 3D hills figure.

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.

Soil series sharing subgroup-level classification with OCCUM, 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-2012-02-14-08 | Grafton County Area - 1999

    Typical pattern of soils and underlying material in the Windsor-Hitchcock-Quonset unit (Soil Survey of Grafton County Area, New Hampshire; 1999).

  2. NY-2012-02-15-16 | Columbia County - June 1989

    Typical pattern of soils and underlying material in the Stockbridge-Georgia general soil map unit (Soil Survey of Columbia County, New York; June 1989).

Map Units

Map units containing OCCUM 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
Occum fine sandy loam101392333956369ljmct60120031:12000
Occum fine sandy loam10182633960099ljmct60220031:12000
Occum fine sandy loam, 0 to 3 percent slopes, occasionally flooded99A9702788409c4vma01120121:12000
Occum very fine sandy loam, 0 to 3 percent slopes, occasionally flooded99A4287963562zvfkma01719911:24000
Occum fine sandy loam40115852796729d0pnh00519851:20000
Occum fine sandy loam, occasionally flooded4013462811239fjhnh00919861:24000
Occum fine sandy loam, frequently flooded12822810379ffqnh00919861:24000
Occum fine sandy loam, high bottomOm23152809919fd7nh60119801:20000
Occum fine sandy loamOc4982809909fd6nh60119801:20000
Occum very fine sandy loam, 0 to 3 percent slopes, frequently flooded1A5752801029dgknh60920071:24000
Occum very fine sandy loam, 0 to 3 percent slopes, occasionally flooded401A5052801989dknnh60920071:24000
Occum loamOm41052902689r1hny02119851:15840
Occum fine sandy loam, 0 to 3 percent slopesOmA67417144211vjzxny03120071:24000
Occum variant-Barbour variant complex, 0 to 3 percent slopesObA13182931889v2pny08319801:15840
Occum fine sandy loam, 0 to 3 percent slopes29A16232814369fvlvt00319921:20000

Map of Series Extent

Approximate geographic distribution of the OCCUM 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 .