Official Series Description


Lab Data Summary

Aggregate lab data for the CROSIER soil series. This aggregation is based on all pedons with a current taxon name of CROSIER, 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 CROSIER 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
111ABO69031969IN011003Crosier3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties40.1049528,-86.2910083
111AHE69011969IN063001Crosier2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties39.7687861,-86.3786389
111BWB77131977IN169013Crosier3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties40.8991278,-85.8056806
111BWB80011980IN169001Crosier1Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties41.0137861,-85.8225694
111CSA70051970IN141005Crosier2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties41.592975,-86.1553028
111CSA70061970IN141006Crosier2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties41.5712667,-86.0997
111CNO71011971IN113001Crosier2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties41.4395139,-85.3966222
111CKO74011974IN085001Crosier3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties41.3764639,-85.9092472
111CWH75081975IN181008Crosier3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties40.7432028,-86.6906667
111CWH76171976IN181017Crosier2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties40.7918917,-86.7250972
111C92P0452S1992IN039001Crosier6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties41.4361115,-85.9163895
111C93P0696S1993IN039008Crosier7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties41.4824982,-85.9963913
98SR77101977IN149010Crosier3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties41.2445944,-86.4678889
98FU78071978IN049007Crosier3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties41.098675,-86.1441278
9807N0259S2006MI155001Crosier1Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.8463333,-84.1794444
99FT-0141961OH051014Crosier2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties41.5392833,-84.1608944

Water Balance

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

Competing Series

Soil series competing with CROSIER 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 CROSIER 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 CROSIER 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.

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Soil series sharing subgroup-level classification with CROSIER, 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. IN-2010-09-02-01 | Pulaski County - 2003

    Typical pattern of soils and underlying material in the Williamstown-Metea-Riddles association (Soil Survey of Pulaski County, Indiana; 2003).

  2. IN-2010-09-24-03 | Elkhart County -

    Typical pattern of soils and underlying material in the Riddles-Oshtemo association (Soil Survey of Elkhart County, Indiana).

  3. IN-2010-09-24-04 | Elkhart County -

    Typical pattern of soils and underlying material in the Crosier-Brookston-Williamstown association (Soil Survey of Elkhart County, Indiana).

  4. IN-2010-09-24-05 | Elkhart County -

    Typical pattern of soils and underlying material in the Adrian-Houghton-Edwards association (Soil Survey of Elkhart County, Indiana).

  5. IN-2010-09-27-09 | St. Joseph County -

    Typical pattern of soils and underlying material in the Riddles-Crosier-Oshtemo association (Soil Survey of St. Joseph County, Indiana).

  6. IN-2010-09-27-10 | St. Joseph County -

    Typical pattern of soils and underlying material in the Crosier-Brookston-Williamstown association (Soil Survey of St. Joseph County, Indiana).

  7. IN-2012-01-20-13 | Wabash County - February 1983

    Pattern of soils and underlying material in the Miami-Riddles map unit (Soil Survey of Wabash County, Indiana; 1983).

  8. IN-2012-01-20-17 | Wabash County - February 1983

    Pattern of soils and underlying material in the Crosby-Brookston-Crosier map unit (Soil Survey of Wabash County, Indiana; 1983).

Map Units

Map units containing CROSIER 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
Crosier-Whitaker, till substratum, complex, 1 to 3 percent slopesCyB21991651595jvqin01519871:15840
Miami-Crosier complex, 2 to 6 percent slopes, erodedMkB211741651965jwxin01519871:15840
Crosier loam, 0 to 3 percent slopesCpA208451624225g0fin01719791:15840
Crosier loam, 0 to 1 percent slopesCvdA328751653515k1xin03919971:12000
Crosier loam, 1 to 4 percent slopesCvdB251871653525k1yin03919971:12000
Williamstown-Crosier complex, 1 to 5 percent slopesWobB68901655285k7min03919971:12000
Urban land-Crosier complex, 0 to 3 percent slopesUeaA12711655035k6tin03919971:12000
Selfridge-Crosier complex, 0 to 1 percent slopesSdzA8791654685k5pin03919971:12000
Crosier loam, 0 to 2 percent slopesCrA315461625655g51in04919841:15840
Crosier loam, 0 to 1 percent slopesCrA216011608605dd1in08519851:20000
Crosier loam, 1 to 4 percent slopesCrB155151608615dd2in08519851:20000
Crosier loam, 0 to 1 percent slopesCvdA2873917025451v4mtin09919781:15840
Selfridge-Crosier complex, 0 to 1 percent slopesSdzA612624530352nbl5in09919781:15840
Urban land-Crosier complex, 0 to 3 percent slopesUeaA31024855082pfcpin09919781:15840
Crosier loam, 1 to 4 percent slopesCvdB21717025461v4mvin09919781:15840
Williamstown-Crosier loams, 1 to 5 percent slopesWobB2624873402ph8sin09919781:15840
Crosier loam, 0 to 2 percent slopesCr51851619565fjdin10319771:20000
Crosier loam, 0 to 2 percent slopesCrA657327252594l4in11319741:15840
Crosier fine sandy loam, 0 to 1 percent slopesCuyA614418492866ffin13120011:12000
Williamstown-Crosier fine sandy loams, 1 to 5 percent slopesWoeB46818499266hhin13120011:12000
Crosier loam, 0 to 1 percent slopesCvdA274232003126qfpin14120011:12000
Crosier loam, 1 to 4 percent slopesCvdB22502003116qfnin14120011:12000
Williamstown-Crosier loams, 1 to 5 percent slopesWobB13542003286qg6in14120011:12000
Selfridge-Crosier complex, 0 to 1 percent slopesSdzA798612329nk5kin14120011:12000
Urban land-Crosier complex, 0 to 3 percent slopesUeaA59625292nznqin14120011:12000
Urban land-Williamstown-Crosier complex, 1 to 5 percent slopesUnqB8625309nzp8in14120011:12000
Crosier fine sandy loam, 0 to 3 percent slopesCrA6211626115g6jin14919801:15840
Crosier loam, 0 to 3 percent slopesCrA38961601955cplin15119791:20000
Crosier loam, 0 to 3 percent slopesCsA42591611645dpvin16919801:15840
Crosier silt loam, 0 to 2 percent slopesCsA32881618455fdtin18119791:20000
Crosier sandy loam, 0 to 3 percent slopesCsA4321617745fbjin18319851:15840
Crosier silt loam, 0 to 4 percent slopes16B1768518615567q0mi02119791:15840
Crosier loam, 1 to 4 percent slopes46B16941887136bcjmi02519931:15840
Urban land-Crosier complex, 0 to 2 percent slopesUrbacA11366190543221yrkmi04919671:20000
Urban land-Crosier-Williamstown complex, 2 to 6 percent slopesUrbalB4624190541821yr3mi04919671:20000

Map of Series Extent

Approximate geographic distribution of the CROSIER 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 .