Official Series Description


Lab Data Summary

Aggregate lab data for the MIRANDA soil series. This aggregation is based on all pedons with a current taxon name of MIRANDA, 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 MIRANDA 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
53A40A008258ND013004Miranda7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties48.6880226135254,-102.291961669922
53A40A008358ND101001Miranda7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties48.6483001708984,-102.190567016602
53B81ND04317281ND043172Miranda4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties46.6427778,-99.9594444
53B40A2358S1951SD115002Miranda7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties45.1083336,-98.6583328
53B40A2359S1951SD115005Miranda6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties45.1055565,-98.6938858
55A97P0370S1996ND005002Miranda8Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties48.3055267,-99.5362473
55B76ND0350311976ND035031Miranda2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties47.9838889,-97.7941667

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the MIRANDA 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 MIRANDA 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 MIRANDA 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 MIRANDA 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 MIRANDA 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 MIRANDA 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 MIRANDA 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 MIRANDA, 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. ND-2010-09-27-05 | Burke County - 2003

    Typical pattern of soils and underlying material in the Noonan-Niobell association (Soil Survey of Burke County, North Dakota; 2003).

  2. ND-2012-02-07-23 | Dickey County - May 1993

    Typical pattern of soils and parent material in the Cavour-Barnes association (Soil Survey of Dickey County, North Dakota; May 1993).

  3. ND-2012-02-07-27 | Divide County - 2002

    Typical pattern of soils and underlying material in the Williams-Niobell-Noonan association (Soil Survey of Divide County, North Dakota; 2002).

  4. ND-2012-02-07-28 | Divide County - 2002

    Typical pattern of soils and underlying material in the Noonan-Niobell association (Soil Survey of Divide County, North Dakota; 2002).

  5. ND-2012-02-07-39 | Foster County - July 1995

    Typical pattern of soils and parent material in the Cathay-Heimdal-Larson association (Soil Survey of Foster County, North Dakota; July 1995).

  6. ND-2012-02-08-65 | Wells County - June 1970

    Parent material and position of soils in association 7 (Soil Survey of Wells County, North Dakota; June 1970).

  7. SD-2012-03-14-11 | Brown County - April 1993

    Typical pattern of soils and parent material in the Niobell-Noonan-Williams association (Soil Survey of Brown County, SD; 1993).

  8. SD-2012-03-15-34 | Faulk County - January 1984

    Pattern of soils and parent material in the Max-Niobell-Noonan association (Soil Survey of Faulk County, SD; 1984).

Map Units

Map units containing MIRANDA 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
Miranda-Noonan loams, 0 to 3 percent slopes218134340341122cfyynd01319911:24000
Miranda-Noonan loams, 0 to 3 percent slopesC557A10025640642q2khnd01319911:24000
Miranda-Noonan loams, 3 to 6 percent slopesC557B925956232q2kgnd01319911:24000
Miranda-Zahl loams, 3 to 25 percent slopesC559E225956292q4xbnd01319911:24000
Miranda-Noonan loams, 3 to 6 percent slopesC557B112524946602q2kgnd01519671:20000
Miranda-Noonan loams, 0 to 3 percent slopesC557A46825670492q2khnd01519671:20000
Miranda-Noonan loams, 0 to 3 percent slopes21819878341321cg5cnd02319921:24000
Miranda-Noonan loams, 0 to 3 percent slopesC557A150525642522q2khnd02319921:24000
Miranda-Zahl loams, 3 to 25 percent slopes1309984341284cg45nd02319921:24000
Miranda-Zahl loams, 3 to 25 percent slopesC559E14825642752q4xbnd02319921:24000
Miranda-Noonan loams, 3 to 6 percent slopesC557B7925958032q2kgnd02919791:20000
Miranda-Noonan loams, 3 to 6 percent slopesC557B356624946612q2kgnd04319851:20000
Miranda-Noonan loams, 0 to 3 percent slopesC557A315525954772q2khnd04319851:20000
Noonan-Miranda loams, 0 to 6 percent slopesC556B20925664592q58snd04519661:20000
Noonan-Miranda loams, 0 to 6 percent slopesC556B93125666992q58snd05519741:20000
Noonan-Miranda loams, 6 to 15 percent slopesE3515D23426624822qkx7nd05519741:20000
Noonan-Miranda loams, 0 to 6 percent slopesE3515B19126624812qkx6nd05519741:20000
Miranda-Zahl loams, 3 to 25 percent slopesC559E1325671522q4xbnd05519741:20000
Miranda-Zahl loams, 3 to 25 percent slopesC559E264025667612q4xbnd06119881:24000
Miranda-Noonan loams, 3 to 6 percent slopesC557B100424946622q2kgnd06119881:24000
Miranda-Noonan loams, 0 to 3 percent slopesC557A29225955562q2khnd06119881:24000
Noonan-Miranda loams, 0 to 6 percent slopesE3515B426625292qkx6nd06119881:24000
Miranda-Noonan loams, 0 to 3 percent slopesC557A266925667882q2khnd08319901:20000
Noonan-Miranda loams, 0 to 6 percent slopesC556B65625668622q58snd09319901:24000
Miranda loam, 0 to 2 percent slopesC534A32725668612q4wznd09319901:24000
Miranda-Zahl loams, 3 to 25 percent slopesC559E149125669242q4xbnd10119671:20000
Noonan-Miranda complexNm276352532ctv0nd10119671:20000
Noonan-Miranda loams, 0 to 6 percent slopesC556B15825669262q58snd10119671:20000
Miranda-Noonan loams, 0 to 3 percent slopesC557A98725957052q2khnd10319661:12000
Miranda-Noonan loams, 3 to 6 percent slopesC557B125957042q2kgnd10319661:12000
Noonan-Miranda loams, 0 to 6 percent slopesC556B2856827655762q58ssd01319871:20000
Portal-Parshall-Miranda complex, 0 to 2 percent slopesC544A301127655952rrqvsd01319871:20000
Miranda-Heil complex, 0 to 3 percent slopesC558A299127655962rrqxsd01319871:20000
Portal-Parshall-Miranda complex, 2 to 6 percent slopesC544B5827656062rsqwsd01319871:20000
Noonan-Miranda loams, 0 to 6 percent slopesC556B19427978972q58ssd02119781:20000
Noonan-Miranda loams, 0 to 6 percent slopesC556B1178727985722q58ssd04519731:20000
Portal-Parshall-Miranda complex, 2 to 6 percent slopesC544B4427986132rsqwsd04519731:20000
Noonan-Miranda loams, 0 to 6 percent slopesC556B729327986422q58ssd04919811:20000
Noonan-Miranda loams, 0 to 6 percent slopesC556B2090927987342q58ssd08919801:20000
Miranda-Heil complex, 0 to 3 percent slopesC558A464327987662rrqxsd08919801:20000
Portal-Parshall-Miranda complex, 2 to 6 percent slopesC544B427727987792rsqwsd08919801:20000
Portal-Parshall-Miranda complex, 0 to 2 percent slopesC544A9027987642rrqvsd08919801:20000
Miranda loam, 0 to 2 percent slopesC534A1127987332q4wzsd08919801:20000
Miranda loam, 0 to 2 percent slopesC534A17027994632q4wzsd10719831:20000
Noonan-Miranda loams, 0 to 6 percent slopesC556B105427995012q58ssd11519971:24000
Miranda-Heil complex, 0 to 3 percent slopesC558A53827995162rrqxsd11519971:24000
Noonan-Miranda loams, 0 to 6 percent slopesC556B106528001052q58ssd12919751:20000
Miranda loam, 0 to 2 percent slopesC534A36628001042q4wzsd12919751:20000

Map of Series Extent

Approximate geographic distribution of the MIRANDA 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 .