Official Series Description


Lab Data Summary

Aggregate lab data for the VINT soil series. This aggregation is based on all pedons with a current taxon name of VINT, 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 VINT 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
3181P038681AZ027007Vint8Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties34.1041679,-114.3147202
4067C0064S1967AZ013014Vint4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties33.2486115,-111.6805573

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the VINT 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 VINT 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 VINT 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 VINT 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 VINT 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 VINT 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 VINT 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 hills figure.

There are insufficient data to create the 3D mountains figure.

Click the image to view it full size.

Click the image to view it full size.

Soil series sharing subgroup-level classification with VINT, 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. AZ-2012-05-09-01 | Colorado River Indian Reservation - November 1986

    Soil landscape profile (Soil Survey of Colorado River Indian Reservation, Arizona—California; November 1986).

Map Units

Map units containing VINT 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
Vint loamy fine sand1254110529881s49az64519821:24000
Vint loamy fine sand325716532811sfraz64919781:24000
Vint fine sandy loamVh5141534131sl0az65119721:20000
Vint loamy fine sandVg4107534121skzaz65119721:20000
Vint loamVk996534141sl1az65119721:20000
Vint-Carrizo complexVr686534161sl3az65119721:20000
Vint clay loamVn396534151sl2az65119721:20000
Lagunita-Vint complex433207534631smmaz65319851:24000
Vint very fine sandy loam631747534851snbaz65319851:24000
Vint loamy fine sandVf5603535291spraz65519691:20000
Vint sandy loam305951547961v0maz65619831:20000
Vint sandy loam, strongly saline, 0 to 3 percent slopes313025547971v0naz65619831:20000
Vint loamy sand30A1309923938100fgaz65619831:20000
Vint clay loam30B448923940100fjaz65619831:20000
Gadsden, Glenbar, and Vint soils, saline-sodic, 0 to 2 percent slopes1528154542671tgkaz65819911:24000
Indio-Vint complex, saline-sodic, 0 to 3 percent slopes1911464542751tgtaz65819911:24000
Vint-Yahana complex, saline-sodic, 0 to 10 percent slopes352890543111thzaz65819911:24000
Vint loamy fine sand, 0 to 2 percent slopes1031706007820j0az66120091:24000
Indio-Vint complex, 0 to 2 percent slopes11934415622mxlgca68319761:24000
Vint loamy very fine sand, wet1423241434415832mxlvca68319761:24000
Vint and Indio very fine sandy loams undifferentiated group, 0 to 2 percent slopes, Wet14415895344164531hlsca68319761:24000
Vint fine sandy loam1431245034415972mytbca68319761:24000
Vint fine sandy loam1433034415982mytbca8031:24000
Indio-Vint complex, 0 to 2 percent slopes1191534415632mxlgca8031:24000
Vint and Indio very fine sandy loams undifferentiated group, 0 to 2 percent slopes, Wet14412344164631hlsca8031:24000
Vint and Indio very fine sandy loams undifferentiated group, 0 to 2 percent slopes, Wet1447677344164731hlsca8041:24000
Indio-Vint complex, 0 to 2 percent slopes119730134415642mxlgca8041:24000
Vint loamy very fine sand, wet14215434415842mxlvca8041:24000
Vint fine sandy loam1435634415992mytbca8041:24000

Map of Series Extent

Approximate geographic distribution of the VINT 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 .