Official Series Description


Lab Data Summary

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

Click the image to view it full size.

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 WITZEL, 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

No block diagrams are available.

Map Units

Map units containing WITZEL 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
Witzel-Skalan families complex, 30 to 70 percent slopes494722465317hm67ca77219811:24000
Witzel-Ritner complex, 30 to 60 percent slopes1761403852852vr4or00320041:24000
Witzel-Ritner complex, 12 to 30 percent slopes175814852862vr5or00320041:24000
Witzel-Ritner complex, 3 to 12 percent slopes174222852872vr6or00320041:24000
Witzel-Rock outcrop complex, 30 to 75 percent slopes84F2852469533hrl7or03319791:20000
Witzel very stony silt loam, 12 to 50 percent slopes76E8146243722z3or05319771:20000
Witzel very stony silt loam, 3 to 12 percent slopes76C5336243622z2or05319771:20000
Witzel-Ritner complex, 12 to 30 percent slopes2746D514045791j4l0or05319771:20000
Witzel-Ritner complex, 12 to 20 percent slopes, stony2784D327111531j8dbor05319771:20000
Witzel-Ritner complex, 3 to 12 percent slopes2735C214045781j4kzor05319771:20000
Witzel-Dixonville complex, 20 to 30 percent south slopes2792E63827114041qflsor07119671:24000
Witzel-Dixonville complex, 12 to 20 percent south slopes2792D61527112841qflqor07119671:24000
Witzel-Dixonville complex, 30 to 60 percent south slopes2792F41027114241qflzor07119671:24000
Witzel-Dixonville complex, 2 to 12 percent slopes2793C39427113851qfkvor07119671:24000
Witzel-Ritner complex, 20 to 30 percent slopes, stony2784E37827113871j8dcor07119671:24000
Witzel-Ritner complex, 12 to 20 percent slopes, stony2784D37327113031j8dbor07119671:24000
Witzel-Ritner complex, 2 to 12 percent slopes, stony2784C31127114051j8d9or07119671:24000
Witzel-Ritner complex, 30 to 60 percent slopes, stony2784F20227114121j8ddor07119671:24000
Witzel very stony silt loam, 3 to 40 percent slopes89D147861745227sor61019821:20000
Witzel-Rock outcrop complex, 50 to 75 percent slopes90F62361749227xor61019821:20000
Witzel very cobbly loam, 30 to 75 percent slopes138G6472626252355or63719811:20000
Witzel very cobbly loam, 3 to 30 percent slopes138E5341626242354or63719811:20000
Rock outcrop-Witzel complex, 10 to 70 percent slopes116G168762587233yor63719811:20000
Witzel-Ritner complex, 12 to 30 percent slopes2746D1914215461jq7bor63719811:20000
Witzel-Ritner complex, 30 to 60 percent slopes2746E714215471jq7cor63719811:20000
Witzel very cobbly loam, 3 to 30 percent slopes104E56006425224vnor63919831:20000
Witzel very cobbly loam, 30 to 70 percent slopes104G26206425324vpor63919831:20000
Witzel variant very cobbly silt loam, 0 to 12 percent slopes105C15456425424vqor63919831:20000
Witzel very stony silt loam, 3 to 40 percent slopesWtE18436417224s2or64319661:20000

Map of Series Extent

Approximate geographic distribution of the WITZEL 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 .