Soil Data Explorer - GRANILE

Official Series Description

Lab Data Summary

Aggregate lab data for the GRANILE soil series. This aggregation is based on all pedons with a current taxon name of GRANILE, 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 GRANILE were used in the calculation. Source: KSSL snapshot (updated 2020-03-13). 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
48A	91P0995	91CO069004	Granile	6	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	40.6177788,-105.4869461

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the GRANILE 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 GRANILE 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 GRANILE 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 GRANILE 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 GRANILE 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 GRANILE 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 GRANILE 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 GRANILE, 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 GRANILE 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
Granile-Peeler complex, 25 to 50 percent slopes	13	13181	498376	jqln	co635	1979	1:24000
Granile-Peeler complex, 25 to 50 percent slopes	541M	904	509876	k3km	co636	2011	1:24000
Granile-Guffey very gravelly sandy loams, 25 to 50 percent slopes	40	12369	498306	jqjd	co637	1986	1:24000
Granile very gravelly sandy loam, 25 to 45 percent slopes	39	3508	498304	jqjb	co637	1986	1:24000
Granile very gravelly sandy loam, 4 to 25 percent slopes	38	1658	498303	jqj9	co637	1986	1:24000
Granile very gravelly coarse sandy loam, 30 to 60 percent slopes	13	40	2407102	k006	co642	2012	1:24000
Granile very gravelly coarse sandy loam, 30 to 60 percent slopes	13	2172	506453	k006	co651	1999	1:24000
Granile gravelly sandy loam, 3 to 35 percent slopes	GrE	4470	498061	jq8h	co658	1968	1:20000
Granile-Tine association	27	334	152071	537j	wy043	1976	1:24000
Agneston-Granile-Rock outcrop association, 5 to 50 percent slopes	86	21	152135	539l	wy043	1976	1:24000
Ansel-Granile gravelly sandy loams, 6 to 45 percent slopes	111	4081	501633	jtzq	wy601	1991	1:24000
Leavitt-Granile complex, 3 to 45 percent slopes	181	2064	501723	jv2m	wy601	1991	1:24000
Leavitt-Granile complex, 3 to 45 percent slopes	193	213	1669709	1t1gl	wy609	2006	1:24000
Ansel-Granile family complex, 10 to 45 percent slopes	16	87026	707841	rrkl	wy632		1:24000
Granile-Taglake families, complex, 25 to 40 percent slopes	31	35979	707866	rrld	wy632		1:24000
Rock outcrop-Taglake family-Granile family complex, 40 to 80 percent slopes	46	31636	708036	rrrw	wy632		1:24000
Ansel-Granile family complex, 0 to 10 percent slopes	15	22998	707840	rrkk	wy632		1:24000
Agneston-Granile-Rock outcrop association, 10 to 50 percent slopes	104	3446	361094	d3r6	wy633	1987	1:24000
Agneston-Granile-Rock outcrop association, 5 to 50 percent slopes	10	144497	158021	59fg	wy650	1982	1:24000
Tellman-Granile-Agneston association, 2 to 20 percent slopes	40	95457	158051	59gf	wy650	1982	1:24000
Granile-Ansel complex, hilly	153	10243	503018	jwfd	wy713	1986	1:24000
Agneston-Granile-Rock outcrop association, 5 to 50 percent slopes	993	9413	1540896	1nqfb	wy719	2013	1:24000
Tellman-Granile-Agneston association, 2 to 20 percent slopes	992	7727	1540895	1nqf9	wy719	2013	1:24000

Map of Series Extent

Approximate geographic distribution of the GRANILE 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).