Official Series Description


Lab Data Summary

Aggregate lab data for the MILAN soil series. This aggregation is based on all pedons with a current taxon name of MILAN, 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 MILAN 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
7986P004386KS173001Milan7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties37.5441666,-97.7208328
80A74KS19101374KS191013Milan2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties37.2628174,-97.6039963
80A81P017880OK017002Milan7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties35.5402794,-98.0480576

Water Balance

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

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

Soil series sharing subgroup-level classification with MILAN, 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. OK-2010-09-29-13 | Noble County - 2005

    Typical pattern of soils and underlying material in the Milan-Norge-Bethany general soil map unit (Soil Survey of Noble County, Oklahoma; 2005).

Map Units

Map units containing MILAN 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
Milan fine sandy loam, 1 to 6 percent slopes63663030138294730x0rks03519771:24000
Milan loam, 1 to 3 percent slopes6369174138294831c3zks03519771:24000
Milan loam, 3 to 6 percent slopes637014138294931c40ks03519771:24000
Milan loam, 3 to 6 percent slopes63705779144401931c40ks17319761:24000
Milan loam, 1 to 3 percent slopes63693962144401831c3zks17319761:24000
Milan clay loam, 3 to 6 percent slopes, eroded63642516144401730x0tks17319761:24000
Milan loam, 1 to 3 percent slopes636950591144465731c3zks19119741:24000
Milan loam, 3 to 6 percent slopes637010165144465831c40ks19119741:24000
Milan loam, 3 to 6 percent slopes, eroded6371772514446591kh8xks19119741:24000
Milan loam, 0 to 1 percent slopes6368400814446561kh8tks19119741:24000
Milan loam, 1 to 3 percent slopesMilB157622542nwt0ok00319711:24000
Milan loam, 1 to 3 percent slopesNoB18388383349dvx3ok07119651:24000
Milan loam, 3 to 5 percent slopesNoC13944383350dvx4ok07119651:24000
Milan loam, 3 to 5 percent slopes, erodedNoC28679383351dvx5ok07119651:24000
Milan loam, 5 to 8 percent slopes, erodedNoD21861383353dvx7ok07119651:24000
Milan loam, 5 to 8 percent slopesNoD1845383352dvx6ok07119651:24000
Milan loam, 0 to 1 percent slopesNoA1781383348dvx2ok07119651:24000
Milan-Wisby complex, 3 to 5 percent slopesNxC1193383354dvx8ok07119651:24000
Milan fine sandy loam, 1 to 3 percent slopesNoB34533383402dvytok07319601:24000
Milan fine sand loam, 0 to 1 percent slopesNoA11251383401dvysok07319601:24000
Milan-Pawhuska complex, 1 to 3 percent slopesNsB4487383403dvyvok07319601:24000
Milan-Pawhuska complex, 3 to 5 percent slopes, erodedNsC3683383404dvywok07319601:24000
Milan loam, 1 to 3 percent slopesMilB8018384083dwnsok10319941:24000
Milan-Pawhuska-Norge complex, 3 to 5 percent slopes, erodedMPNC24802384081dwnqok10319941:24000
Milan loam, 3 to 5 percent slopesMilC4112384084dwntok10319941:24000
Milan loam, 1 to 3 percent slopesMilB163214231711jrxrok11720071:24000
Milan loam, 3 to 5 percent slopesMilC121216773211t9d4ok11720071:24000
Milan-Pawhuska-Norge complex, 3 to 5 percent slopes, erodedMPNC21201910057223krok11720071:24000
Milan loam, 1 to 3 percent slopesMilB3451385216dxvbok15119951:24000

Map of Series Extent

Approximate geographic distribution of the MILAN 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 .