Official Series Description


Lab Data Summary

Aggregate lab data for the ONTUSIA soil series. This aggregation is based on all pedons with a current taxon name of ONTUSIA, 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 ONTUSIA were used in the calculation. Source: KSSL snapshot . Methods used to assemble the KSSL snapshot used by SoilWeb / SDE

Click the image to view it full size.

Pedons used in the lab summary:

MLRALab IDPedon IDTaxonnameCINSSL / NASIS ReportsLink To SoilWeb GMap
10192P0047S1991NY077010Ontusia6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.7738876,-74.7211075
14087P019686NY025001Ontusia4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.2677765,-75.2852783
14087P019786NY025002Ontusia4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.2688904,-75.2880554

Water Balance

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

Click the image to view it full size.



Click the image to view it full size.

Sibling Summary

Siblings are those soil series that occur together in map units, in this case with the ONTUSIA series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot , parsed OSD records and snapshot of SC database .

Click the image to view it full size.

Select annual climate data summaries for the ONTUSIA series and siblings. 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 ONTUSIA 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 .

Click the image to view it full size.

Click the image to view it full size.

Click the image to view it full size.

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 ONTUSIA share the same family level classification in Soil Taxonomy. Source: parsed OSD records and snapshot of the SC database .

Click the image to view it full size.

Select annual climate data summaries for the ONTUSIA 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 ONTUSIA 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 .

Click the image to view it full size.

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 ONTUSIA, 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. NY-2010-09-28-15 | Otsego County - 2006

    Ground water flow pattern and typical landscape pattern of upland soils that formed in glacial till. The arrow shows the general direction of flow (Soil Survey of Otsego County, New York; 2006).

  2. NY-2010-09-28-17 | Otsego County - 2006

    Typical pattern of soils and underlying material in the Mongaup-Willdin-Lewbath general soil map unit (Soil Survey of Otsego County, New York; 2006).

Map Units

Map units containing ONTUSIA 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
Ontusia channery silt loam, 8 to 15 percent slopes126C290532997572wblkny00320131:24000
Ontusia channery silt loam, 3 to 8 percent slopes126B221292997562wbljny00320131:24000
Ontusia channery silt loam, 0 to 3 percent slopes126A50692997552wblgny00320131:24000
Ontusia channery silt loam, 15 to 25 percent slopes126D18293182052wbllny00320131:24000
Ontusia channery silt loam, 8 to 15 percent slopes, very stony118C12613181632wblnny00320131:24000
Ontusia channery silt loam, 3 to 8 percent slopes, very stony118B2263181622wblmny00320131:24000
Ontusia channery silt loam, 2 to 8 percent slopes126B1552027230852wblhny02320141:12000
Ontusia channery silt loam, 8 to 15 percent slopes126C1448527230862wblkny02320141:12000
Ontusia channery silt loam, 15 to 25 percent slopes126D106627608402wbllny02320141:12000
Onteora and Ontusia soils, 2 to 10 percent slopes, very stonyOfB67372905312w0czny02519991:24000
Ontusia channery silt loam, 3 to 8 percent slopesOnB26572905332wbljny02519991:24000
Ontusia channery silt loam, 8 to 15 percent slopesOnC9932905342wblkny02519991:24000
Ontusia channery silt loam, 0 to 3 percent slopesOnA9372905322wblgny02519991:24000
Ontusia channery silt loam, 3 to 8 percent slopes168B925231057562wbljny05120191:24000
Ontusia channery silt loam, 8 to 15 percent slopes168C516531057572wblkny05120191:24000
Lewbath-Ontusia complex, 3 to 15 percent slopes151C164731057432y9xjny05120191:24000
Willdin-Ontusia complex, 8 to 15 percent slopes263C95431057792ywkyny05120191:24000
Ontusia channery silt loam, 0 to 3 percent slopes168A91631057552wblgny05120191:24000
Willdin-Ontusia complex, 3 to 8 percent slopes263B79831057782ywkxny05120191:24000
Ontusia channery silt loam, 15 to 25 percent slopes168D65531057582wbllny05120191:24000
Willdin-Ontusia complex, 15 to 25 percent slopes263D22431057802ywkzny05120191:24000
Ontusia channery silt loam, 3 to 8 percent slopes168B191924824682wbljny06920121:12000
Ontusia channery silt loam, 8 to 15 percent slopes168C158024824672wblkny06920121:12000
Ontusia channery silt loam, 0 to 3 percent slopes168A34424824692wblgny06920121:12000
Ontusia channery silt loam, 15 to 25 percent slopes168D11224824662wbllny06920121:12000
Ontusia channery silt loam, 2 to 8 percent slopesOeB85872942632wblhny07719931:24000
Ontusia channery silt loam, 8 to 15 percent slopesOeC22852942642wblkny07719931:24000
Ontusia channery silt loam, 3 to 8 percent slopes168B386132503882wbljny12319481:12000
Ontusia channery silt loam, 8 to 15 percent slopes168C148032503892wblkny12319481:12000
Ontusia channery silt loam, 0 to 3 percent slopes168A26432503872wblgny12319481:12000
Ontusia channery silt loam, 15 to 25 percent slopes168D16732503902wbllny12319481:12000
Onteora and Ontusia soils, 8 to 25 percent slopes, very stonyOesD475029442272wbnypa10519531:24000
Ontusia channery silt loam, 8 to 15 percent slopesOhC275324333272wblkpa10519531:24000
Onteora and Ontusia soils, 0 to 8 percent slopes, very stonyOesB253029442262wbnxpa10519531:24000
Ontusia channery silt loam, 3 to 8 percent slopesOhB221724333282wbljpa10519531:24000
Ontusia channery silt loam, 15 to 25 percent slopesOhD71624333262wbllpa10519531:24000
Ontusia channery silt loam, 0 to 3 percent slopesOhA8524333292wblgpa10519531:24000

Map of Series Extent

Approximate geographic distribution of the ONTUSIA 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 .