Official Series Description


Lab Data Summary

Aggregate lab data for the WOLFPEN soil series. This aggregation is based on all pedons with a current taxon name of WOLFPEN, 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 WOLFPEN 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
133B82P049882TX423004Wolfpen7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties32.413887,-95.2805557
87BS82TX223001S82TX223001Wolfpen5Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties33.125679,-95.3837433

Water Balance

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

Competing Series

Soil series competing with WOLFPEN 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 WOLFPEN 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 WOLFPEN 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.

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.

Soil series sharing subgroup-level classification with WOLFPEN, 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. TX-2012-03-21-07 | Harrison County - October 1994

    Pattern of soils and parent material in the Lilbert-Warnock-Wolfpen general soil map unit (Soil Survey of Harrison County, TX; 1994).

  2. TX-2012-03-21-29 | Leon County - July 1989

    Pattern of soils and underlying material in the Wolfpen-Pickton-Cuthbert general soil map unit (Soil Survey of Leon County, TX; 1989).

  3. TX-2012-03-21-76 | Smith County - July 1993

    Typical pattern of soils and parent material in the Wolfpen-Pickton general soil map unit (Soil Survey of Smith County, TX; 1993).

Map Units

Map units containing WOLFPEN 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
Wolfpen loamy sand, 1 to 3 percent slopesWp41853569336m3fpla02719861:20000
Wolfpen loamy fine sand, 5 to 15 percent slopesWoE20162375431dlnptx16119861:24000
Wolfpen loamy fine sand, 1 to 5 percent slopesWoB155503754302tcnytx16119861:24000
Wolfpen loamy fine sand, 2 to 5 percent slopesWoC86735764692tcnztx20319891:24000
Wolfpen loamy fine sand, 8 to 15 percent slopesWoE7454576470mbvttx20319891:24000
Wolfpen loamy fine sand, 2 to 5 percent slopes43469973676352tcnztx21319781:20000
Wolfpen loamy fine sand, 5 to 12 percent slopes4410666367636dbk7tx21319781:20000
Wolfpen loamy fine sand, 1 to 8 percent slopesWoC48972369243dd72tx28919851:24000
Wolfpen loamy fine sand, 1 to 5 percent slopesWoC490675758342tcnytx42319871:24000
Wolfpen loamy fine sand, 8 to 15 percent slopesWoE16450575835mb6btx42319871:24000
Wolfpen-Urban land complex, 1 to 6 percent slopesWuC3598575836mb6ctx42319871:24000
Wolfpen-Urban land complex, 8 to 15 percent slopesWuE944575837mb6dtx42319871:24000
Wolfpen loamy fine sand, 1 to 5 percent slopesWoC600783730762tcnytx46719941:24000
Wolfpen loamy fine sand, 5 to 15 percent slopesWoE2823373077dj6rtx46719941:24000
Wolfpen loamy fine sand, 2 to 5 percent slopesWoC109395760742tcnztx49919931:24000
Wolfpen loamy fine sand, 5 to 15 percent slopesWoD2891576075mbg2tx49919931:24000
Wolfpen loamy fine sand, 2 to 5 percent slopesWdC141085761312tcnztx60319841:24000
Wolfpen-Urban land complex, 2 to 5 percent slopesWeC1537576132mbhxtx60319841:24000
Wolfpen loamy fine sand, 2 to 5 percent slopesWoC367333744052tcnztx61019731:20000

Map of Series Extent

Approximate geographic distribution of the WOLFPEN 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 .