Official Series Description


Lab Data Summary

Aggregate lab data for the WIST soil series. This aggregation is based on all pedons with a current taxon name of WIST, 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 WIST 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
149A00P01051999MD003009Wist7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties39.0325012,-76.6666641
149A94P019993NJ005003Wist7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties40.0944443,-74.6127777

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the WIST 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 WIST 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 WIST 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 WIST 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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There are insufficient data to create the 3D mountains figure.

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Competing Series

Soil series competing with WIST 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 WIST series and competing. 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 WIST 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 .

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Soil series sharing subgroup-level classification with WIST, 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-2010-09-10-03 | Cecil County -

    Matapeake-Mattapex-Butlertown-Collington association (Soil Survey of Cecil County, Maryland).

Map Units

Map units containing WIST 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
Collington, Wist, and Westphalia soils, 15 to 25 percent slopesCSE4491609566ng9fmd00320031:12000
Collington-Wist complex, 5 to 10 percent slopesCoC38511377384mb5md00320031:12000
Collington-Wist complex, 2 to 5 percent slopesCoB36931377374mb4md00320031:12000
Collington, Wist, and Westphalia soils, 25 to 40 percent slopesCSF3678609567ng9gmd00320031:12000
Collington-Wist-Urban land complex, 0 to 5 percent slopesCpB1862609569ng9jmd00320031:12000
Collington-Wist-Urban land complex, 5 to 15 percent slopesCpD1473609570ng9kmd00320031:12000
Collington, Wist, and Westphalia soils, 40 to 80 percent slopesCSG530609568ng9hmd00320031:12000
Collington-Wist complex, 0 to 2 percent slopesCoA2091377064m94md00320031:12000
Collington-Wist complex, 5 to 10 percent slopesCoC33624406962mxr4md01520091:12000
Collington-Wist complex, 2 to 5 percent slopesCoB14724406952mxr3md01520091:12000
Collington-Wist complex, 2 to 5 percent slopesCnB527124748742p29nmd03320091:12000
Collington-Wist-Urban land complex, 0 to 5 percent slopesCoB477724748792p29tmd03320091:12000
Collington-Wist complex, 5 to 10 percent slopesCnC466224748752p29pmd03320091:12000
Collington-Wist-Urban land complex, 5 to 15 percent slopesCoD393724748802p29vmd03320091:12000
Collington-Wist complex, 15 to 25 percent slopesCnE314024748772p29rmd03320091:12000
Collington-Wist complex, 10 to 15 percent slopesCnD233124748762p29qmd03320091:12000
Urban land-Collington-Wist complex, 0 to 5 percent slopesUrdB214924748822p29xmd03320091:12000
Collington-Wist complex, 0 to 2 percent slopesCnA210124748732p29mmd03320091:12000
Collington-Wist complex, 25 to 40 percent slopesCnF92124748782p29smd03320091:12000
Collington-Wist-Urban land complex, 15 to 25 percent slopesCoE47224748812p29wmd03320091:12000

Map of Series Extent

Approximate geographic distribution of the WIST 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 .