Official Series Description


Lab Data Summary

Aggregate lab data for the PIVOT soil series. This aggregation is based on all pedons with a current taxon name of PIVOT, 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 PIVOT 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
6581P011680NE149013Pivot7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.6544456,-99.5205536
6640A2158S1976NE089002Pivot7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.4499893,-98.5712204

Water Balance

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

Soil series competing with PIVOT 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 PIVOT 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 PIVOT 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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There are insufficient data to create the 3D flats position figure.

Soil series sharing subgroup-level classification with PIVOT, 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. NE-2012-02-13-31 | Holt County - March 1983

    Typical pattern of soils in the Dunday-Pivot-Dunn association and their relationship to topography and parent material (Soil Survey of Holt County, Nebraska; March 1983).

  2. NE-2012-02-13-81 | Rock County - May 1985

    Typical pattern of soils and parent material in the Pivot-Valentine association (Soil Survey of Rock County, Nebraska; May 1985).

Map Units

Map units containing PIVOT 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
Brunswick-Pivot complex, 11 to 30 percent slopes66653422185402dgktne00319751:20000
Valentine-Pivot complex, 0 to 9 percent slopes486840911000393c32ne01719871:20000
Pivot loamy sand, 0 to 3 percent slopes472130691000202wgf5ne01719871:20000
Oneill and Pivot loams, 0 to 2 percent slopes311016122281962dsm9ne01919671:20000
Pivot loamy fine sand, 0 to 3 percent slopes47202491004243chhne03119951:24000
Oneill and Pivot loams, 0 to 2 percent slopes31101096217001641v250ne07920031:12000
Boelus, Oneill, and Pivot complex, 0 to 3 percent slopes6645189617001021v230ne07920031:12000
Pivot loamy sand, 0 to 3 percent slopes4721489461001512wgf5ne08919811:20000
Brunswick-Pivot complex, 11 to 30 percent slopes6665159971000873c4mne08919811:20000
Pivot loamy sand, 3 to 9 percent slopes4722100671001523c6qne08919811:20000
Pivot-Valentine complex, 0 to 9 percent slopes4723922196252dhptne08919811:20000
Oneill and Pivot loams, 0 to 2 percent slopes3110132722282512dsp2ne12119781:20000
Pivot loamy sand, 0 to 3 percent slopes4721187261002522wgf5ne14919821:20000
Pivot-Valentine complex, 0 to 9 percent slopes472388941002533c9zne14919821:20000
Valentine-Pivot complex, 0 to 9 percent slopes48684422198412dhxsne14919821:20000
Pivot loamy sand, 0 to 3 percent slopes472190426056812qgprne17119631:24000

Map of Series Extent

Approximate geographic distribution of the PIVOT 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 .