Official Series Description


Lab Data Summary

Aggregate lab data for the MOSHER soil series. This aggregation is based on all pedons with a current taxon name of MOSHER, 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 MOSHER were used in the calculation. Source: KSSL snapshot . 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 MOSHER 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 MOSHER 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 MOSHER 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 MOSHER 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 MOSHER 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 MOSHER series and competing. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data .

Click the image to view it full size.

Geomorphic description summaries for the MOSHER 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 hills figure.

There are insufficient data to create the 3D mountains 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 MOSHER, 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. SD-2012-03-14-01 | Bennett County - May 1971

    Typical association of Valentine, Mosher, Minatare, Loup, Keith, Rosebud, Oglala, and Canyon soils in the southern part of Bennett County (Soil Survey of Bennett County, SD; 1971).

  2. SD-2012-03-15-39 | Haakon County - 1998

    Typical pattern of soils and parent material in the Nimbro, Samsil-Pierre, and Kirley-Lakoma-Vivian associations (Soil Survey of Haakon County, SD; 1998).

  3. SD-2012-03-15-40 | Haakon County - 1998

    Typical pattern of soils and parent material in the Ree association (Soil Survey of Haakon County, SD; 1998).

  4. SD-2012-03-15-60 | Jones County - 1999

    Typical pattern of soils and parent material in the Promise-Kirley and Promise associations (Soil Survey of Jones County, SD; 1999).

Map Units

Map units containing MOSHER 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
Mosher loam7229049455735d7co07519741:24000
Mosher clay7317699455835d8co07519741:24000
Mosher-Minatare complex, 0 to 6 percent slopesMm172603527552wf2ysd00720041:20000
Mosher silt loam, 0 to 3 percent slopesMo65043552682zk44sd05319821:20000
Mosher-Jerauld silt loam, 0 to 3% slopesMs32983552692zzvysd05319821:20000
Kirley-Mosher complex, 0 to 2 percent slopesKhA6356354098cwgjsd05519921:24000
Kirley-Mosher complex, 2 to 6 percent slopesKhB5732354099cwgksd05519921:24000
Mosher silt loam, 0 to 3 percent slopesMo17853541152zk44sd05519921:24000
Promise-Mosher complex, 0 to 2 percent slopesPsA2392353320cvnfsd06519701:20000
Ree-Mosher complex, 0 to 2 percent slopesRmA1587353327cvnnsd06519701:20000
Mosher silt loam, 0 to 2 percent slopesMoA1440353305cvmysd06519701:20000
Kirley-Mosher complex, 0 to 6 percent slopesKmB6140353637cvznsd07519911:24000
Mosher silt loam, 0 to 3 percent slopesMo52723536522zk44sd07519911:24000
Mosher-Capa silt loamsMp1415353653cw05sd07519911:24000
Opal-Mosher complex, 3 to 6 percent slopesOmB3660353418319vtsd09519711:20000
Promise-Mosher complex, 0 to 2 percent slopesPmA2870353429cvrysd09519711:20000
Mosher Soils, 0 to 3 percent slopesMr26693534022zk45sd09519711:20000
Mosher silt loam, 0 to 3 percent slopesMo69083530212zk44sd12119671:31680
Mosher-Minatare silt loams, 0 to 4 percent slopesMmA4524353022cvbtsd12119671:31680
Mosher silt loam, 0 to 3 percent slopesMo61383544152zk44sd12319751:20000
Mosher-Jerauld silt loam, 0 to 3% slopesMs34733544162zzvysd12319751:20000
Onita-Mosher silt loamsOo2948354422cwszsd12319751:20000
Mosher-Minatare complex, 0 to 6 percent slopesMm135129255342wf2ysd61019651:20000
Mosher-Minatare complex, 0 to 6 percent slopesMm1059925827212wf2ysd61320111:24000

Map of Series Extent

Approximate geographic distribution of the MOSHER 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 .