Official Series Description


Lab Data Summary

Aggregate lab data for the MARLEAN soil series. This aggregation is based on all pedons with a current taxon name of MARLEAN, 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 MARLEAN 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
104UMN2534S1977MN037024Marlean3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties44.6513137,-92.7824817
105UMN1356S1971MN0491356Marlean3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties44.4143639,-92.9088898
105UMN1920S1975MN1091920Marlean3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties43.879921,-92.2574234
105UMN1921S1975MN1091921Marlean2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties43.8976402,-92.3360977

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the MARLEAN 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 MARLEAN 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 MARLEAN 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 MARLEAN 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 MARLEAN 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 MARLEAN 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 MARLEAN 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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Click the image to view it full size.

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 MARLEAN, 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-2010-09-09-28 | Winneshiek County - 2007

    Typical pattern of soils and parent material in the Winneshiek-Marlean association (Soil Survey of Winneshiek County, Iowa; 2007).

  2. MN-2012-02-06-04 | Olmsted County - March 1980

    Pattern of soils and underlying material in the Mt. Carroll-Marlean-Arenzville association (Soil Survey of Olmsted County, Minnesota; March 1980).

Map Units

Map units containing MARLEAN 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
Marlean loam, 2 to 9 percent slopes512C1424747892p26xia02319781:15840
Marlean loam, 9 to 18 percent slopes512E124747902p26yia02319781:15840
Marlean loam, 5 to 9 percent slopes, moderately eroded512C2524793212p6y3ia03719891:15840
Marlean loam, 5 to 14 percent slopes, moderately eroded512D2658404289fkplia04319791:15840
Marlean loam, 2 to 5 percent slopes512B203404288fkpkia04319791:15840
Marlean sandy loam, 5 to 14 percent slopes512D331405458flx9ia06119831:15840
Marlean loam, 5 to 14 percent slopes512D658405796fm86ia06519751:15840
Marlean loam, 2 to 5 percent slopes512B453405795fm85ia06519751:15840
Marlean loam, 9 to 18 percent slopes512E511404924flc2ia06919771:15840
Marlean loam, 18 to 40 percent slopes512G296404925flc3ia06919771:15840
Marlean loam, 2 to 9 percent slopes512C269404923flc1ia06919771:15840
Marlean loam, 9 to 14 percent slopes, moderately eroded512D25097450991h493ia19120051:12000
Marlean loam, 5 to 9 percent slopes, moderately eroded512C24129437368gp3nia19120051:12000
Marlean loam, 14 to 18 percent slopes, moderately eroded512E22914450993h495ia19120051:12000
Marlean loam, 5 to 9 percent slopes512C2592437367gp3mia19120051:12000
Marlean loam, 2 to 5 percent slopes512B1338437366gp3lia19120051:12000
Marlean loam, 12 to 18 percent slopes251D776396812f9xdmn03719801:15840
Marlean loam, 18 to 25 percent slopes251E412396813f9xfmn03719801:15840
Marlean silty clay loam, 25 to 40 percent slopes251F4891400733ffzwmn10919771:15840
Marlean silty clay loam, 40 to 80 percent slopes251G2252400734ffzxmn10919771:15840

Map of Series Extent

Approximate geographic distribution of the MARLEAN 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 .