Official Series Description


Lab Data Summary

Aggregate lab data for the SEAWILLOW soil series. This aggregation is based on all pedons with a current taxon name of SEAWILLOW, 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 SEAWILLOW 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 SEAWILLOW 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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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 SEAWILLOW series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot , parsed OSD records and snapshot of SC database .

There are insufficient data to create the sibling sketch figure.

Select annual climate data summaries for the SEAWILLOW series and siblings. 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 SEAWILLOW 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 .

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.

Competing Series

Soil series competing with SEAWILLOW 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 SEAWILLOW 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 SEAWILLOW 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 SEAWILLOW, 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-2010-11-03-23 | Hamilton County - 2007

    Pattern of soils and underlying material in the Minwells-Bastsil and Bosque-Frio-Venus general soil map units (Soil Survey of Hamilton County, Texas; 2007).

  2. TX-2010-11-03-51 | Lampasas County - 1991

    Typical pattern of soils and underlying material in the Sunev-Rumley-Oakalla general soil map unit (Soil Survey of Lampasas County, Texas; 1991).

  3. TX-2010-11-04-09 | Milam County - 2004

    Typical pattern of soils and underlying material in the Branyon-Burleson general soil map unit (Soil Survey of Milam County, Texas; 2004).

  4. TX-2012-03-20-24 | Comal and Hays Counties - June 1984

    Pattern of soils in the Lewisville-Gruene-Krum and Branyon-Krum general soil map units (Soil Survey of Comal and Hays Counties, TX; 1984).

  5. TX-2012-03-20-27 | Coryell County - May 1985

    Typical pattern of soils in the Nuff-Cho map unit and the Doss-Real-Krum map unit (Soil Survey of Coryell County, TX; 1985).

Map Units

Map units containing SEAWILLOW 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
Seawillow clay loam, 3 to 5 percentSeC739608759nfgdtx02719721:24000
Seawillow clay loam, 3 to 8 percent slopes, erodedSeD22736363531d68ttx05519721:20000
Seawillow clay loam, 1 to 3 percent slopesSeB379363530d68stx05519721:20000
Seawillow clay loam, 3 to 5 percentSeC3992391169f41ctx09919831:24000
Seawillow clay loam, 3 to 8 percent slopesSeC1698376681dmz0tx19319941:24000
Seawillow clay loam, 1 to 5 percent slopesSeC1197368207dc4ntx25119811:20000
Seawillow clay loam, 5 to 12 percent slopesSeE234368208dc4ptx25119811:20000
Seawillow clay loam, 3 to 5 percent slopesSeC3630368882dcvftx28119901:24000
Seawillow loam, 2 to 8 percent slopesSmC3176370693dfqvtx33119881:24000
Seawillow clay loam, 1 to 3 percent slopesSeB1582393484f6g1tx60419811:20000
Seawillow clay loam, 3 to 8 percent slopesSeD1445393485f6g2tx60419811:20000
Seawillow loam, 3 to 5 percent slopesSeC1176374357dkk1tx60919751:20000
Seawillow loam, 5 to 8 percent slopesSeD941374358dkk2tx60919751:20000

Map of Series Extent

Approximate geographic distribution of the SEAWILLOW 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 .