Soil Data Explorer - VINT

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 (updated 2020-03-18). Methods used to assemble the KSSL snapshot used by SoilWeb / SDE

Pedons used in the lab summary:

MLRA	Lab ID	Pedon ID	Taxonname	CI	NSSL / NASIS Reports	Link To SoilWeb GMap
31	81P0386	81AZ027007	Vint	8	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	34.1041679,-114.3147202
40	67C0064	S1967AZ013014	Vint	4	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	33.2486115,-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.

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 (updated 2024-02-21), parsed OSD records (updated 2023-10-06) and snapshot of SC database (updated 2023-10-02).

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 (updated 2023-10-09).

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 (updated 2023-10-04).

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

Competing Series

Soil series competing with VINT share the same family level classification in Soil Taxonomy. Source: parsed OSD records (updated 2023-10-06) and snapshot of the SC database (updated 2023-10-02).

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 (updated 2023-10-09).

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 (updated 2023-10-04).

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

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

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 (updated 2023-10-02).

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 sand	125	4110	52988	1s49	az645	1982	1:24000
Vint loamy fine sand	32	5716	53281	1sfr	az649	1978	1:24000
Vint fine sandy loam	Vh	5141	53413	1sl0	az651	1972	1:20000
Vint loamy fine sand	Vg	4107	53412	1skz	az651	1972	1:20000
Vint loam	Vk	996	53414	1sl1	az651	1972	1:20000
Vint-Carrizo complex	Vr	686	53416	1sl3	az651	1972	1:20000
Vint clay loam	Vn	396	53415	1sl2	az651	1972	1:20000
Lagunita-Vint complex	43	3207	53463	1smm	az653	1985	1:24000
Vint very fine sandy loam	63	1747	53485	1snb	az653	1985	1:24000
Vint loamy fine sand	Vf	5603	53529	1spr	az655	1969	1:20000
Vint sandy loam	30	5951	54796	1v0m	az656	1983	1:20000
Vint sandy loam, strongly saline, 0 to 3 percent slopes	31	3025	54797	1v0n	az656	1983	1:20000
Vint loamy sand	30A	1309	923938	100fg	az656	1983	1:20000
Vint clay loam	30B	448	923940	100fj	az656	1983	1:20000
Gadsden, Glenbar, and Vint soils, saline-sodic, 0 to 2 percent slopes	15	28154	54267	1tgk	az658	1991	1:24000
Indio-Vint complex, saline-sodic, 0 to 3 percent slopes	19	11464	54275	1tgt	az658	1991	1:24000
Vint-Yahana complex, saline-sodic, 0 to 10 percent slopes	35	2890	54311	1thz	az658	1991	1:24000
Vint loamy fine sand, 0 to 2 percent slopes	103	170	60078	20j0	az661	2009	1:24000
Vint loamy very fine sand, wet	142	31545	455531	h90k	ca683	1976	1:24000
Indio-Vint complex	119	29643	455508	h8zt	ca683	1976	1:24000
Vint and Indio very fine sandy loams, wet	144	15462	455533	h90m	ca683	1976	1:24000
Vint fine sandy loam	143	13066	455532	h90l	ca683	1976	1:24000

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 (updated 2023-10-04).