Official Series Description


Lab Data Summary

Aggregate lab data for the LIMINGA soil series. This aggregation is based on all pedons with a current taxon name of LIMINGA, 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 LIMINGA 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
9202N0708S2001MI131006Liminga6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties46.7683296,-88.9486771
94A40A1974S1966MI133002Liminga4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties44.1402833,-85.4851583

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the LIMINGA 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 LIMINGA 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 LIMINGA 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 LIMINGA 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 LIMINGA 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 LIMINGA 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 LIMINGA 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.

Click the image to view it full size.

Click the image to view it full size.

Soil series sharing subgroup-level classification with LIMINGA, 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. MI-2012-02-06-18 | Houghton County Area - October 1991

    Diagrammatic cross section of Houghton County showing the topography, elevation, general soil texture, landforms, and dominant soils and their drainage class (Soil Survey of Houghton County Area, Michigan; October 1991).

  2. MI-2012-02-06-20 | Houghton County Area - October 1991

    Typical pattern of soils and parent material in the Trimountain-Paavola-Net association (Soil Survey of Houghton County Area, Michigan; October 1991).

  3. MI-2012-02-06-22 | Houghton County Area - October 1991

    Typical pattern of soils and parent material in the Kalkaska-Liminga-Waiska association (Soil Survey of Houghton County Area, Michigan; October 1991).

Map Units

Map units containing LIMINGA 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
Liminga fine sand, 0 to 6 percent slopes95B46414553061kvccmi00320071:24000
Rousseau fine sand, dark subsoil, 0 to 6 percent slopes15B7651415117fxywmi03319891:15840
Rousseau, dark subsoil-Alcona complex, 0 to 6 percent slopes84B5188415172fy0nmi03319891:15840
Rousseau fine sand, dark subsoil, 6 to 15 percent slopes15D3282415118fxyxmi03319891:15840
Rousseau, dark subsoil-Urban land complex, 0 to 4 percent slopes138B2420415094fxy4mi03319891:15840
Rousseau fine sand, dark subsoil, 15 to 35 percent slopes15E1225415119fxyymi03319891:15840
Rousseau fine sand, dark subsoil, 35 to 60 percent slopes15F1145415120fxyzmi03319891:15840
Rousseau, dark subsoil-Alcona complex, 6 to 15 percent slopes84D1065415173fy0pmi03319891:15840
Rousseau, dark subsoil-Alcona complex, 25 to 50 percent slopes84F584415174fy0qmi03319891:15840
Munising-Alcona-Liminga complex, dissected, 15 to 70 percent slopes130F11302416065fyygmi06119891:20000
Liminga fine sand, 1 to 8 percent slopes96B10450416178fz23mi06119891:20000
Munising-Liminga-Alcona complex, 1 to 8 percent slopes147B3849416088fyz6mi06119891:20000
Liminga fine sand, 8 to 15 percent slopes96D3764416179fz24mi06119891:20000
Munising-Alcona-Liminga complex, dissected, 8 to 35 percent slopes130D1839416064fyyfmi06119891:20000
Munising-Alcona-Liminga complex, dissected, 1 to 12 percent slopes130B1630416063fyydmi06119891:20000
Liminga fine sand, 15 to 35 percent slopes96E1382416180fz25mi06119891:20000
Liminga fine sand, 35 to 70 percent slopes96F1217416181fz26mi06119891:20000
Liminga-Alcona complex, 0 to 8 percent slopes133B979416070fyymmi06119891:20000
Montreal-Paavola complex, 8 to 15 percent slopes89D924416171fz1wmi06119891:20000
Liminga-Alcona complex, 15 to 35 percent slopes133E376416072fyypmi06119891:20000
Liminga-Alcona complex, 8 to 15 percent slopes133D351416071fyynmi06119891:20000
Wainola-Ingalls-Liminga complex, terrace, 1 to 55 percent slopes8152F19624847932pdmmmi06119891:20000
Liminga fine sand, 1 to 6 percent slopes8151A4225660361t6t4mi06119891:20000
Liminga loamy fine sand, 18 to 35 percent slopes8242D2724855962pfgjmi06119891:20000
Liminga-Alcona complex, 0 to 6 percent slopes84B2876631276p5wrmi09520041:24000
Liminga-Alcona complex, 6 to 15 percent slopes84D2175631278p5wtmi09520041:24000
Liminga-Alcona complex, 15 to 35 percent slopes84E1217627509p1z7mi09520041:24000
Liminga fine sand, 15 to 35 percent slopes15E776627450p1xbmi09520041:24000
Liminga fine sand, 6 to 15 percent slopes15D444627451p1xcmi09520041:24000
Liminga fine sand, 0 to 6 percent slopes15B247627449p1x9mi09520041:24000
Liminga fine sand, 35 to 60 percent slopes15F232627452p1xdmi09520041:24000
Liminga fine sand, 1 to 6 percent slopes95B1173395308f8bwmi10319991:24000
Liminga fine sand, 6 to 18 percent slopes95D686395309f8bxmi10319991:24000
Liminga fine sand, 1 to 8 percent slopes57B394314564551kwkfmi13120071:24000
Liminga fine sand, 8 to 15 percent slopes57D138614564561kwkgmi13120071:24000
Liminga fine sand, 1 to 6 percent slopes8151B71016748411t6t4mi13120071:24000
Liminga fine sand, 35 to 70 percent slopes57F66314564581kwkjmi13120071:24000
Liminga fine sand, 6 to 35 percent slopes8117D65816748301t6ssmi13120071:24000
Liminga loamy fine sand, 18 to 35 percent slopes8242D9916748741t6v6mi13120071:24000
Wainola-Ingalls-Liminga complex, terrace, 1 to 55 percent slopes8152F1216748421t6t5mi13120071:24000
Liminga fine sand, 15 to 35 percent slopes34E50414569341kx1wmi15320071:24000
Liminga fine sand, 0 to 6 percent slopes34B31814569331kx1vmi15320071:24000

Map of Series Extent

Approximate geographic distribution of the LIMINGA 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 .