Official Series Description


Lab Data Summary

Aggregate lab data for the SCIO soil series. This aggregation is based on all pedons with a current taxon name of SCIO, 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 SCIO 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
14004N0373S03NY003013Scio6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.1624985,-77.9730225
144A91P0796S1991MA023009Scio6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties41.8356577,-70.9433741

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the SCIO 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 SCIO 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 SCIO 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 SCIO 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 SCIO 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 SCIO series and competing. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data .

Click the image to view it full size.

Geomorphic description summaries for the SCIO 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 .

There are insufficient data to create the 2D hillslope position figure.

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 SCIO, 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. ME-2012-02-03-16 | York County - June 1982

    Typical pattern of soils and underlying material in the Scantic-Raynham-Buxton association (Soil Survey of York County, Maine; June 1982).

  2. ME-2012-02-03-18 | York County - June 1982

    Typical pattern of soils and underlying material in the Rumney-Podunk-Ondawa association (Soil Survey of York County, Maine; June 1982).

  3. NH-2012-02-14-26 | Sullivan County - December 1983

    Typical pattern of soils and underlying material in the Windsor-Unadilla Variant-Agawam unit (Soil Survey of Sullivan County, New Hampshire; December 1983).

  4. NY-2010-09-28-14 | Otsego County - 2006

    Relationships between landscape and parent material for selected soils in Otsego County (Soil Survey of Otsego County, New York; 2006).

  5. NY-2010-09-28-23 | Otsego County - 2006

    The relationship between the soils and underlying material in the Otego-Chenango-Scio general soil map unit and the Mardin-Lordstown-Bath general soil map unit (Soil Survey of Otsego County, New York; 2006).

  6. NY-2010-09-28-24 | Otsego County - 2006

    The relationship between the soils and underlying material in the Wayland-Canadaigua-Raynham general soil map unit and the Otego-Chenango-Scio general soil map unit (Soil Survey of Otsego County, New York; 2006).

  7. NY-2010-09-28-25 | Saratoga County - 2004

    Typical relationship of soils and underlying material in the Windsor-Deerfield-Scio general soil map unit. Many areas of this unit are farmed and are easily eroded after cultivation (Soil Survey of Saratoga County, New York; 2004).

  8. NY-2012-02-15-31 | Nassau County - February 1987

    Typical relationship of soils and underlying deposits in the Montauk-Enfield general soil map unit (Soil Survey of Nassau County, New York; February 1987).

  9. NY-2012-02-15-32 | Nassau County - February 1987

    Typical relationship of soils and underlying deposits in the Riverhead-Enfield-Urban land general soil map unit (Soil Survey of Nassau County, New York; February 1987).

  10. NY-2012-02-16-05 | Wyoming County - April 1974

    Typical pattern of soils in association 11 (Soil Survey of Wyoming County, New York; April 1974).

Map Units

Map units containing SCIO 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
Scio silt loam, 3 to 8 percent slopes223B14822788759c5zma01120121:12000
Scio silt loam, 0 to 3 percent slopes223A9412788749c5yma01120121:12000
Scio silt loam, 8 to 15 percent slopes223C3822790229cbqma01120121:12000
Scio-Urban land complex, 0 to 8 percent slopes621B15622769269953ma01719911:24000
Scio very fine sandy loam, 0 to 3 percent slopes223A11272767729904ma01719911:24000
Scio very fine sandy loam, 3 to 8 percent slopes223B9602767749906ma01719911:24000
Scio very fine sandy loam, 0 to 3 percent slopes223A1643319847bqtnma02320101:12000
Scio very fine sandy loam, 3 to 8 percent slopes223B1582309431bcznma02320101:12000
Scio - Urban land complex, 0 to 8 percent slopes621B30309430bczmma02320101:12000
Scio silt loam, 0 to 3 percent slopes223A7912770499992ma60219761:20000
Scio silt loam, 3 to 8 percent slopes223B4062770509993ma60219761:20000
Scio very fine sandy loam, 2 to 5 percent slopes223B920791800vkxyma61619851:25000
Scio very fine sandy loam, 3 to 8 percent slopesSkB140512844999k1dme01119741:20000
Scio very fine sandy loam, 8 to 15 percent slopes, erodedSkC219192845009k1fme01119741:20000
Scio silt loam, 3 to 8 percent slopesSeB63712846609k6lme03119781:20000
Scio silt loam, 8 to 15 percent slopesSeC35472846619k6mme03119781:20000
Scio silt loam, 15 to 25 percent slopesSeD6832846629k6nme03119781:20000
Scio very fine sandy loam, 3 to 8 percent slopes531B3662796899d17nh00519851:20000
Scio very fine sandy loam, 0 to 3 percent slopes531A2192796889d16nh00519851:20000
Scio very fine sandy loam, 0 to 5 percent slopes531B7442793489cp7nh01519861:24000
Scio silt loam, 0 to 3 percent slopesSdA3602798309d5snh01919811:20000
Scio silt loam, 3 to 8 percent slopesSdB3482798319d5tnh01919811:20000
Scio silt loam, 0 to 3 percent slopesScoA159612280nk3znj03720021:24000
Scio silt loam, 0 to 3 percent slopesScoA107740987sw1tnj04120071:12000
Scio silt loam, 3 to 8 percent slopesScB32462887869phpny00119851:15840
Scio silt loam, 0 to 3 percent slopesScA18582887859phnny00119851:15840
Scio silt loam, 0 to 3 percent slopes28A250185997520fg6ny00320131:24000
Scio silt loam, till substratum, 3 to 8 percent slopesScB6224215842m8vmny00520141:12000
Scio silt loam, till substratum, 0 to 3 percent slopesScA4824215832m8vlny00520141:12000
Scio-Tonawanda silt loams, till substratum, 0 to 3 percent slopesSTA4124830962pbvwny00520141:12000
Scio silt loamSc5532892079py8ny00719661:15840
Scio silt loam, 0 to 3 percent slopes28A15002895749qb3ny00920021:24000
Scio silt loam, 0 to 3 percent slopesSoA20022898789qmxny01319881:15840
Scio silt loam, 3 to 8 percent slopesSoB6762898799qmyny01319881:15840
Scio silt loam, 0 to 3 percent slopesScA17012900369qt0ny01719821:15840
Scio silt loam, 3 to 8 percent slopesScB5902900379qt1ny01719821:15840
Scio silt loam, 0 to 3 percent slopesScA15962902829r1yny02119851:15840
Scio silt loam, 3 to 8 percent slopesScB11932902839r1zny02119851:15840
Scio silt loam, 0 to 4 percent slopes28A84027230952rwcjny02320141:12000
Scio silt loamSc5902907129rhtny02719921:24000
Scio silt loamSd7952909039rpzny02919791:15840
Scio silt loam, 3 to 8 percent slopes152B16072914629s90ny03520071:24000
Scio-Urban land complex, 0 to 3 percent slopes112A504319310bq8bny03520071:24000
Scio silt loam, 0 to 3 percent slopes152A4722914619s8zny03520071:24000
Scio silt loam, 2 to 8 percent slopesSmB1129301798b41fny03720041:24000
Scio silt loam, 3 to 8 percent slopesScB792928889ts0ny05719731:24000
Scio silt loam, 0 to 3 percent slopesScA102928879trzny05719731:24000
Scio silt loam, till substratum, 0 to 3 percent slopesSdA8822929329ttfny05919831:24000
Scio silt loamSc2862929319ttdny05919831:24000
Scio silt loam, till substratum, 3 to 8 percent slopesSdB1262929339ttgny05919831:24000
Scio silt loam, 3 to 8 percent slopes47B6652934419vbvny06519931:24000
Scio silt loam, 0 to 3 percent slopes47A5622934409vbtny06519931:24000
Scio silt loam, 3 to 8 percent slopesScB13352939749vx1ny07119761:15840
Scio silt loam, 0 to 3 percent slopesScA5202939739vx0ny07119761:15840
Scio silt loam, 2 to 6 percent slopesScB19492942869w73ny07719931:24000
Scio silt loam, 0 to 2 percent slopesScA18572942859w72ny07719931:24000
Scio fine sandy loam, 1 to 6 percent slopesSbB5952942849w71ny07719931:24000
Scio very fine sandy loam, 3 to 8 percent slopesScB11282932029v34ny08319801:15840
Scio very fine sandy loam, 0 to 3 percent slopesScA4252932019v33ny08319801:15840
Scio silt loam, 3 to 8 percent slopesSeB34542944269wcmny09119931:24000
Scio silt loam, 0 to 3 percent slopesSeA34152944259wclny09119931:24000
Scio silt loam, 3 to 8 percent slopesScB501309653bd6tny09319731:15840
Scio silt loam, 0 to 3 percent slopesScA218309652bd6sny09319731:15840
Scio silt loam, 0 to 3 percent slopesScA3042945449whfny09519651:15840
Scio silt loamSc19412948529wtcny10119721:15840
Scio silt loam, sandy substratum, 0 to 2 percent slopesSdA9932952759x80ny10319701:20000
Scio silt loam, till substratum, 2 to 6 percent slopesScB3212952749x7zny10319701:20000
Scio silt loam, sandy substratum, 2 to 6 percent slopesSdB2822952769x81ny10319701:20000
Scio silt loam, 2 to 6 percent slopesSaB9602951229x32ny10519841:15840
Scio silt loamSc11562955389xjhny11119741:15840
Scio silt loam, 0 to 3 percent slopesScA16402954239xdsny12119691:20000
Scio silt loam, 3 to 8 percent slopesScB7412954249xdtny12119691:20000
Scio silt loamSd8482893289q25ny60519811:24000
Scio silt loam, 3 to 8 percent slopesScB39112961919y6kpa03919731:20000
Scio silt loam, 0 to 3 percent slopesScA20032961909y6jpa03919731:20000
Scio silt loam, 0 to 3 percent slopesScA104526331282rg9bpa04920121:12000
Scio silt loam, 3 to 8 percent slopesScB93226331292rg9cpa04920121:12000
Scio silt loam, 8 to 15 percent slopesScC23426331302rhrkpa04920121:12000
Scio silt loam, 0 to 3 percent slopesScA104824505622n80dpa10519531:24000
Scio silt loamSc1566539261l34jpa60919791:20000
Scio silt loam, 0 to 3 percent slopesScA9332862899lx4ri60019771:12000
Scio very stony silt loam, 0 to 8 percent slopesSdB6262862909lx5ri60019771:12000

Map of Series Extent

Approximate geographic distribution of the SCIO 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 .