Soil Data Explorer - IMA

Official Series Description

Lab Data Summary

Aggregate lab data for the IMA soil series. This aggregation is based on all pedons with a current taxon name of IMA, 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 IMA 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
70B	95P0697	95NM019001	IMA	6	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	35.150074,-104.3238525

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the IMA 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 IMA series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot (updated 2024-10-24), parsed OSD records (updated 2024-10-23) and snapshot of SC database (updated 2024-10-23).

Select annual climate data summaries for the IMA 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 2024-10-23).

Geomorphic description summaries for the IMA 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 2024-10-23).

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

Competing Series

Soil series competing with IMA share the same family level classification in Soil Taxonomy. Source: parsed OSD records (updated 2024-10-23) and snapshot of the SC database (updated 2024-10-23).

Select annual climate data summaries for the IMA 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 2024-10-23).

Geomorphic description summaries for the IMA 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 2024-10-23).

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

Soil series sharing subgroup-level classification with IMA, 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 2024-10-23).

Block Diagrams

Click a link below to display the diagram. Note that these diagrams may be from multiple survey areas.

1. TX-2010-11-02-46 | Deaf Smith County - 2007

   Typical pattern of soils in the Redona-Ima-Berwolf general soil map unit (Soil Survey of Deaf Smith County, Texas; 2007).

Map Units

Map units containing IMA 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
Ima-Gallen association, 2 to 7 percent slopes	37	15688	376284	dmk6	nm011	1983	1:48000
Ima-Armesa association, 1 to 10 percent slopes	12	6795	376269	dmjq	nm011	1983	1:48000
Ima fine sandy loam, 0 to 3 percent slopes	107	2996	376257	dmjb	nm011	1983	1:48000
Ima-La Lande fine sandy loams, 2 to 10 percent slopes	25	42346	375857	dm3f	nm019	1988	1:48000
Ima sandy loam, 0 to 2 percent slopes	112	410	375838	dm2t	nm019	1988	1:48000
Ima and Quay soils	IM	26914	376349	dmm9	nm021	1968	1:31680
Ima-Gallen association, 2 to 7 percent slopes	037	633	2454222	2nctg	nm041	2014	1:24000
Canez-Ima association, undulating	CA	32455	375508	dlr5	nm630	1977	1:48000
Blakeney-Ima association, moderately undulating	BQB	7443	375745	dlzt	nm644	1981	1:24000
Ima loamy fine sand, 0 to 3 percent slopes	IaA	3881	375777	dm0v	nm644	1981	1:24000
Ima-Blakeney complex, moderately undulating	IBB	3228	375776	dm0t	nm644	1981	1:24000
Ima fine sandy loam	Im	10370	55966	1w7c	nm666	1974	1:24000
Ima-Gallen association, 2 to 7 percent slopes	37	767	1596539	1qlb8	nm669	2005	1:24000
Ima sandy loam, 1 to 5 percent slopes	IN	79879	376127	dmd4	nm676	1969	1:31680
Ima sandy loam, 1 to 3 percent slopes	Im	2742	376128	dmd5	nm676	1969	1:31680
Ima sandy loam, 3 to 5 percent slopes	Is	2715	376129	dmd6	nm676	1969	1:31680
Ima loamy fine sand, 0 to 3 percent slopes	ImB	10204	362406	d53j	tx003	1970	1:31680
Kinco-Ima complex, 0 to 2 percent slopes	KiB	6352	364663	d7gb	tx105	2002	1:31680
Ima and Lacoca loamy fine sands, 1 to 8 percent slopes	IMC	3216	378079	dpf3	tx117	1999	1:24000
Ima-Hodgins association, gently sloping	IhB	4781	58472	1yv6	tx243	1971	1:31680
Ima fine sandy loam, 0 to 3 percent slopes	Im	19366	59015	1zdq	tx475	1969	1:24000
Kinco-Ima association, gently undulating	KWB	29856	58586	1yyw	tx606	1974	1:31680

Map of Series Extent

Approximate geographic distribution of the IMA 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 2024-10-30).