Official Series Description


Lab Data Summary

Aggregate lab data for the WITT soil series. This aggregation is based on all pedons with a current taxon name of WITT, 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 WITT 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
70C02N060102NM049004Witt8Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties35.1884722,-106.0673056
70C92P033191NM057003WITT8Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties34.8113899,-106.1222229

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the WITT 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 WITT 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 WITT 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 WITT 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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Competing Series

Soil series competing with WITT 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 WITT 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 WITT 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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There are insufficient data to create the 3D mountains figure.

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Soil series sharing subgroup-level classification with WITT, 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 WITT 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
Witt loam, 3 to 8 percent slopes7641514583401ypyco66919821:24000
Witt loam, 1 to 3 percent slopes7512388583391ypxco66919821:24000
Witt loam, 3 to 12 percent slopes, eroded774482583411ypzco66919821:24000
Monticello-Witt loams, 3 to 6 percent slopes628043502091jvghco67519861:24000
Monticello-Witt loams, 1 to 3 percent slopes617935502089jvgfco67519861:24000
Witt loam, dry, 1 to 12 percent slopes1073524501966jvbgco67519861:24000
Monticello-Witt loams, 6 to 12 percent slopes63755502092jvgjco67519861:24000
Silver and Witt soils, 5 to 9 percent slopesSwC42210556961vynnm60019731:24000
Silver and Witt soils, 2 to 5 percent slopesSwB11936556951vymnm60019731:24000
Stroupe-Witt association, moderately steep8723542375651dlwsnm63219811:63360
Witt-Penistaja association, gently sloping9621521375661dlx3nm63219811:63360
Pajara-Witt association, moderately sloping525320375613dlvknm63219811:63360
Witt-Harvey association, 1 to 7 percent slopes5318540564421wqqnm65619871:24000
Ildefonso-Witt association, 1 to 8 percent slopes3410220564031wpgnm65619871:24000
Witt loam, 1 to 8 percent slopes2179158563571wmznm65619871:24000
Witt loam, 1 to 6 percent slopesWp10415314739991lgtcnm67419651:24000
Witt clay loam, 1 to 6 percent slopes, erodedWr4840914740001lgtdnm67419651:24000
Witt loam, 0 to 1 percent slopesWn2318414739971lgt9nm67419651:24000
Witt-Harvey-Pinon loams, 1 to 9 percent slopesWt2253614740021lgtgnm67419651:24000
Witt clay loam, 0 to 1 percent slopes, erodedWo1021214739981lgtbnm67419651:24000
Kim-Pinon-Witt loamsKw679214739291lgr3nm67419651:24000
Witt-Harvey loams, 0 to 3 percent slopesWs450814740011lgtfnm67419651:24000
Hyer-Witt complex, 1 to 3 percent slopes60063724622183nwffnm68720081:24000

Map of Series Extent

Approximate geographic distribution of the WITT 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 .