Official Series Description


Lab Data Summary

Aggregate lab data for the ONTEORA soil series. This aggregation is based on all pedons with a current taxon name of ONTEORA, 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 ONTEORA 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
14093P0625S1993NY025001Onteora7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.3846931,-74.8274689
14011N0147S2010NY003003Onteora6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.01305,-77.7941111

Water Balance

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

There are insufficient data to create the annual climate figure.

Geomorphic description summaries for the ONTEORA 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 ONTEORA, 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-2010-09-28-08 | Delaware County - 2006

    The landscape pattern of upland soils developed in coarse loamy glacial till and ground water flow patterns (arrow shows general flow direction) (Soil Survey of Delaware County, New York; 2006).

  2. NY-2010-09-28-11 | Delaware County - 2006

    Typical pattern of soils and geologic materials in the Willowemoc-Lewbeach-Onteora and the Vly-Halcott-Mongaup general soil map units (Soil Survey of Delaware County, New York; 2006).

  3. NY-2010-09-28-18 | Otsego County - 2006

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

  4. NY-2012-02-15-25 | Greene County - February 1993

    Typical pattern of soils and underlying material in the Lewbeach-Willowemoc-Onteora association (Soil Survey of Greene County, New York; February 1993).

  5. NY-2012-02-15-45 | Sullivan County - July 1989

    Typical landscape pattern of the soils and the underlying material in the Willowemoc-Mongaup-Lewbeach general soil map unit (Soil Survey of Sullivan County, New York; July 1989).

Map Units

Map units containing ONTEORA 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
Onteora channery silt loam, 8 to 15 percent slopes116C32852997252w0cxny00320131:24000
Onteora channery silt loam, 3 to 8 percent slopes116B20692997242w0cwny00320131:24000
Onteora channery silt loam, 0 to 3 percent slopes116A1402997232w0cvny00320131:24000
Onteora channery silt loam, 3 to 8 percent slopesOeB110132905292w0cwny02519991:24000
Onteora channery silt loam, 8 to 15 percent slopesOeC103382905302w0cxny02519991:24000
Onteora and Ontusia soils, 2 to 10 percent slopes, very stonyOfB67372905312w0czny02519991:24000
Onteora channery silt loam, 0 to 3 percent slopesOeA21892905282w0cvny02519991:24000
Onteora silt loam, rolling, very boulderyOpC72932916982w0d3ny03919851:24000
Onteora silt loam, 3 to 15 percent slopes, very stonyOoC38572916972w0d2ny03919851:24000
Onteora silt loam, 3 to 8 percent slopesOnB9282916952w0d1ny03919851:24000
Onteora silt loam, 8 to 15 percent slopesOnC5842916962w0d0ny03919851:24000
Onteora channery silt loam, 3 to 8 percent slopesObB4362942612w0cwny07719931:24000
Onteora channery silt loam, 8 to 15 percent slopesObC932942622w0cxny07719931:24000
Onteora loam, 3 to 8 percent slopesOaB37352950989x29ny10519841:15840
Onteora loam, 0 to 3 percent slopesOaA18432950979x28ny10519841:15840
Onteora loam, 2 to 8 percent slopes, very stonyObB9772951009x2cny10519841:15840
Onteora loam, 8 to 15 percent slopesOaC4972950999x2bny10519841:15840
Onteora channery silt loam, 3 to 8 percent slopesOeB544424333232w0cwpa10519531:24000
Onteora and Ontusia soils, 8 to 25 percent slopes, very stonyOesD475029442272wbnypa10519531:24000
Onteora channery silt loam, 8 to 15 percent slopesOeC427724333222w0cxpa10519531:24000
Onteora and Ontusia soils, 0 to 8 percent slopes, very stonyOesB253029442262wbnxpa10519531:24000
Onteora channery silt loam, 15 to 25 percent slopesOeD45929442252wbnwpa10519531:24000
Onteora channery silt loam, 0 to 3 percent slopesOeA41624333162w0cvpa10519531:24000

Map of Series Extent

Approximate geographic distribution of the ONTEORA 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 .