Official Series Description


Lab Data Summary

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

There are insufficient data to create the 3D flats position figure.

Competing Series

Soil series competing with THIESSEN 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 THIESSEN 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 THIESSEN 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 THIESSEN, 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. WA-2010-11-05-08 | Klickitat County - 2009

    Representative landscape cross section of the Van Nostern-Morrow-Bakeoven general soil map unit (Soil Survey of Klickitat County, Washington; 2009).

  2. WA-2012-05-11-46 | Klickitat County Area - December 2009

    Representative landscape cross-section of general soil map unit 9 (Soil Survey of Klickitat County Area, Washington; December 2009).

Map Units

Map units containing THIESSEN 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
Thiessen very cobbly ashy silt loam, 15 to 30 percent north slopes6077BN102437457njkjor63120181:24000
Laufer-Thiessen complex, 15 to 30 percent south slopes180932282352tzjor63120181:24000
Copperfield-Thiessen complex, 30 to 60 percent north slopes6056CN92437445nj0bor63120181:24000
Copperfield-Thiessen-Rock outcrop complex, 60 to 90 percent north slopes535542847772v6ror67019991:24000
Laufer-Thiessen complex, 15 to 30 percent south slopes1803599845532tzjor67019991:24000
Laufer-Thiessen complex, 30 to 60 percent south slopes1812927845542tzkor67019991:24000
Laufer-Thiessen complex, 2 to 15 percent slopes1791899845522tzhor67019991:24000
Copperfield-Thiessen complex, 30 to 60 percent north slopes521652847762v6qor67019991:24000
Laufer-Thiessen-Rock outcrop complex, 60 to 90 percent south slopes182851845562tzmor67019991:24000
Thiessen very cobbly silt loam, 15 to 30 percent north slopes317244847122v4nor67019991:24000
Laufer-Thiessen-Rock outcrop complex, 40 to 90 percent slopes5117237694532b8fwa60319841:24000
Laufer-Thiessen complex, 30 to 70 percent slopes5011122694522b8dwa60319841:24000
Limekiln-Thiessen variant-Rock outcrop complex, 40 to 90 percent slopes621372694652b8twa60319841:24000
Limekiln-Thiessen variant very stony silt loams, 30 to 70 percent slopes611153694642b8swa60319841:24000
Laufer-Thiessen complex, 30 to 70 percent slopes50335697502bl0wa62319701:20000
Laufer-Thiessen-Rock outcrop complex, 40 to 90 percent slopes519697512bl1wa62319701:20000
Laufer-Thiessen-Rubble land complex, 30 to 75 percent slopes66815622770872l6pwa63720081:24000
Laufer-Thiessen, 30 to 45 percent slopes6677761770862l6nwa63720081:24000
Laufer-Thiessen complex, 15 to 30 percent slopes434961768752kzvwa63720081:24000
Laufer-Thiessen complex, 5 to 15 percent slopes860576772382lckwa63720081:24000
Thiessen very stony silt loam, 15 to 45 percent slopes374712763092kdlwa63920031:24000
Thiessen very stony silt loam, 15 to 45 percent slopes19772024859882pfw5wa67620141:12000

Map of Series Extent

Approximate geographic distribution of the THIESSEN 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 .