Soil Data Explorer - UINTA

Official Series Description

Lab Data Summary

Aggregate lab data for the UINTA soil series. This aggregation is based on all pedons with a current taxon name of UINTA, 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 UINTA were used in the calculation. Source: KSSL snapshot (updated 2020-03-13). 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 UINTA 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 UINTA series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot (updated 2024-02-21), parsed OSD records (updated 2023-10-02) and snapshot of SC database (updated 2023-10-02).

Select annual climate data summaries for the UINTA 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 UINTA 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).

Competing Series

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

Select annual climate data summaries for the UINTA 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 UINTA 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 terrace figure.

There are insufficient data to create the 3D flats position figure.

Soil series sharing subgroup-level classification with UINTA, 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

No block diagrams are available.

Map Units

Map units containing UINTA 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
Uinta-Lakehelen fine sandy loams, 4 to 25 percent slopes	83	4924	496524	jnnx	co627	1980	1:24000
Leadville-Uinta families association, 10 to 40 percent slopes	109	1016	496582	jnqs	co627	1980	1:24000
Leadville, rubbly-Uinta families association, 10 to 40 percent slopes	810G	3655	500983	jt9r	co634		1:24000
Horsethief-Uinta families, complex, 15 to 40 percent slopes, very stony	15	14300	509301	k2z2	co647		1:24000
Uinta family fine sandy loam, 3 to 20 percent slopes	23	3905	509312	k2zf	co647		1:24000
Uinta-Leroux family complex, 1 to 20 percent slopes	53	3863	509353	k30r	co647		1:24000
Uinta-Pineguest families, complex, 15 to 40 percent slopes, landslides, very bouldery	49	3197	509348	k30l	co647		1:24000
Uinta sandy loam, 15 to 50 percent slopes	87	12048	497916	jq3t	co649	1977	1:24000
Uinta sandy loam, 2 to 15 percent slopes	86	3183	497915	jq3s	co649	1977	1:24000
Uinta and tolvar soils, 10 to 50 percent slopes	UtF	14584	498232	jqg0	co662	1968	1:24000
Uinta loam, 15 to 60 percent slopes	68	10498	58331	1ypn	co669	1982	1:24000
Uinta loam, 5 to 15 percent slopes	67	906	58330	1ypm	co669	1982	1:24000
Uinta-Paddy complex, 15 to 45 percent slopes	490E	1037	155527	56v0	mt622	1997	1:24000
Adel-Uinta loams, 8 to 35 percent slopes	714E	592	155676	56zt	mt622	1997	1:24000
Uinta-Paddy complex, cool, 15 to 45 percent slopes	390E	501	155451	56rk	mt622	1997	1:24000
Sessions-Uinta complex, 2 to 30 percent slopes	168	16121	508216	k1v2	ut613	1999	1:24000
Skutum-Uinta association, 15 to 30 percent slopes	172	13122	508212	k1ty	ut613	1999	1:24000
Skutum-Uinta association, 30 to 60 percent slopes	173	7062	508217	k1v3	ut613	1999	1:24000
Uinta-Duchesne complex, 8 to 30 percent slopes	177	5677	508144	k1rr	ut613	1999	1:24000
Uinta-Toze families complex	125	18702	503700	jx4d	ut616	1983	1:24000
Uinta family-Podo association	124	6379	503699	jx4c	ut616	1983	1:24000
Uinta-Horsethief-Lucky Star families complex, 15 to 50 percent slopes	711A		3312900	30gxg	ut645		1:24000
Bundo, moist-Scout-Uinta, families complex, 30 to 70 percent slopes	107	10625	3243264	2zscd	ut645		1:24000
Uinta, dry-Contide, dry-Croydon families complex, 5 to 25 percent slopes	107B	3260	3243266	2zscx	ut645		1:24000
Sessions, moist-Uinta, extremely stony complex, 2 to 30 percent slopes	S168	3157	3322035	30nkq	ut647		1:24000
Uinta-Meekscabin-Stringam complex, 2 to 10 percent slopes	209	43082	1652167	1sg6q	wy041		1:24000
Uinta-Meekscabin-Stringam complex, 15 to 35 percent slopes	210	16876	1652168	1sg6r	wy041		1:24000

Map of Series Extent

Approximate geographic distribution of the UINTA 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).