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 . 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
70B95P069795NM019001IMA6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties35.150074,-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.

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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 , parsed OSD records and snapshot of SC database .

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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 .

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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 .

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

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Competing Series

Soil series competing with IMA 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 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 .

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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 .

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

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Click the image to view it full size.

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 .

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 slopes3715688376284dmk6nm01119831:48000
Ima-Armesa association, 1 to 10 percent slopes126795376269dmjqnm01119831:48000
Ima fine sandy loam, 0 to 3 percent slopes1072996376257dmjbnm01119831:48000
Ima-La Lande fine sandy loams, 2 to 10 percent slopes2542346375857dm3fnm01919881:48000
Ima sandy loam, 0 to 2 percent slopes112410375838dm2tnm01919881:48000
Ima and Quay soilsIM26914376349dmm9nm02119681:31680
Ima-Gallen association, 2 to 7 percent slopes03763324542222nctgnm04120141:24000
Canez-Ima association, undulatingCA32455375508dlr5nm63019771:48000
Blakeney-Ima association, moderately undulatingBQB7443375745dlztnm64419811:24000
Ima loamy fine sand, 0 to 3 percent slopesIaA3881375777dm0vnm64419811:24000
Ima-Blakeney complex, moderately undulatingIBB3228375776dm0tnm64419811:24000
Ima fine sandy loamIm10370559661w7cnm66619741:24000
Ima-Gallen association, 2 to 7 percent slopes3776715965391qlb8nm66920051:24000
Ima sandy loam, 1 to 5 percent slopesIN79879376127dmd4nm67619691:31680
Ima sandy loam, 1 to 3 percent slopesIm2742376128dmd5nm67619691:31680
Ima sandy loam, 3 to 5 percent slopesIs2715376129dmd6nm67619691:31680
Ima loamy fine sand, 0 to 3 percent slopesImB10204362406d53jtx00319701:31680
Kinco-Ima complex, 0 to 2 percent slopesKiB6352364663d7gbtx10520021:31680
Ima and Lacoca loamy fine sands, 1 to 8 percent slopesIMC3216378079dpf3tx11719991:24000
Ima-Hodgins association, gently slopingIhB4781584721yv6tx24319711:31680
Ima fine sandy loam, 0 to 3 percent slopesIm19366590151zdqtx47519691:24000
Kinco-Ima association, gently undulatingKWB29856585861yywtx60619741:31680

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 .