Official Series Description


Lab Data Summary

Aggregate lab data for the MARQUIS soil series. This aggregation is based on all pedons with a current taxon name of MARQUIS, 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 MARQUIS 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
10440A14111960IA017001Marquis6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.8199997,-92.4358368
104UMN1805S1974MN1091805Marquis2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties43.8786278,-92.6450119
104UMN1961S1974MN1091961Marquis3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties43.8755989,-92.6211014
104UMN3382S1980MN0993382Marquis3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties43.737999,-92.7806091
10400P0156S1999MN099001Marquis5Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties43.601223,-92.5400009
105UMN1238S1971MN1091238Marquis3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties43.9909325,-92.4561234
n/a00P0157S1999MN109003Marquis5Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Propertiesn/a

Water Balance

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

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

There are insufficient data to create the 3D flats position figure.

Competing Series

Soil series competing with MARQUIS 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 MARQUIS 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 MARQUIS 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 MARQUIS, 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. IA-2010-09-02-05 | Black Hawk County - 2006

    Typical pattern of soils and parent material in the Marquis-Clyde-Floyd association (Soil Survey of Black Hawk County, Iowa; 2006).

  2. IA-2010-09-09-08 | Bremer County - 2009

    Typical pattern of soils and parent material in the Tripoli-Readlyn association (Soil Survey of Bremer County, Iowa; 2009).

Map Units

Map units containing MARQUIS 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
Marquis loam, 2 to 5 percent slopes395B241934133362tgsfia01320011:12000
Marquis loam, 2 to 5 percent slopes395B1240415859982tgsfia01720081:12000
Marquis loam, 2 to 5 percent slopes395B824747762tgsfia02319781:15840
Marquis loam, 2 to 5 percent slopes395B3624793022tgsfia03719891:15840
Marquis loam, 2 to 5 percent slopes395B13824753522tgsfia06519751:15840
Marquis loam, 2 to 5 percent slopes395B64914016232tgsfia19120051:12000
Marquis loam, 0 to 3 percent slope39589225814422tgsdia19520121:12000
Marquis silt loam, 2 to 6 percent slopesM507B291807847992vw41mn03920051:12000
Marquis silt loam, 1 to 3 percent slopesM507A98987847982tgsgmn03920051:12000
Marquis silt loam, 2 to 6 percent slopesM507B2279916707321t2jlmn04920071:12000
Marquis silt loam, 1 to 3 percent slopesM507A117216707311t2jkmn04920071:12000
Marquis silt loam, 1 to 3 percent slopes1409A48684295692tgsgmn13119961:12000
Marquis silt loam, 2 to 6 percent slopes1409B37594295702vw41mn13119961:12000

Map of Series Extent

Approximate geographic distribution of the MARQUIS 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 .