Official Series Description


Lab Data Summary

Aggregate lab data for the ORPARK soil series. This aggregation is based on all pedons with a current taxon name of ORPARK, 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 ORPARK 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
10140A1182S1976NY029002ORPARK6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.6911087,-78.827774

Water Balance

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

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 ORPARK 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 ORPARK 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 ORPARK 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 ORPARK, 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-2012-02-15-07 | Chautauqua County - August 1994

    Soils and parent material on a bedrock escarpment and on a lake plain that includes the Beach Ridge (Soil Survey of Chautauqua County, New York; August 1994).

Map Units

Map units containing ORPARK 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
Orpark silt loam, 8 to 15 percent slopes76C666299977b24pny00320131:24000
Orpark silt loam, 3 to 8 percent slopes76B472299976b24nny00320131:24000
Orpark silt loam, 0 to 3 percent slopes76A126299975b24mny00320131:24000
Orpark silt loam, 3 to 8 percent slopes76B10702896999qg4ny00920021:24000
Orpark silt loam, 8 to 15 percent slopes76C4022897009qg5ny00920021:24000
Orpark silt loam, 0 to 3 percent slopes76A3952896989qg3ny00920021:24000
Orpark silt loam, 3 to 8 percent slopesOrB46542898609qmbny01319881:15840
Orpark silt loam, 8 to 15 percent slopesOrC28232898619qmcny01319881:15840
Orpark silt loam, 0 to 3 percent slopesOrA21362898599qm9ny01319881:15840
Orpark silt loam, 15 to 25 percent slopesOrD4032898629qmdny01319881:15840
Orpark silt loam, 3 to 8 percent slopesOrB112752908719rnyny02919791:15840
Orpark silt loam, 0 to 3 percent slopesOrA107152908709rnxny02919791:15840
Orpark silt loam, 8 to 15 percent slopesOrC56342908729rnzny02919791:15840
Orpark silt loam, 8 to 15 percent slopes96C77531057242y9wvny05120191:24000
Orpark silt loam, 3 to 8 percent slopes96B40231057232y9wtny05120191:24000
Orpark silt loam, 8 to 15 percent slopes76C195424541682ncrqny06920121:12000
Orpark silt loam, 3 to 8 percent slopes76B111324541692ncrrny06920121:12000
Orpark channery silt loam, 15 to 25 percent slopes76D66125124122q9lsny06920121:12000
Orpark silt loam, 3 to 8 percent slopes76B325032503262ncrrny12319481:12000
Orpark silt loam, 8 to 15 percent slopes76C100032503252ncrqny12319481:12000
Orpark channery silt loam, 15 to 25 percent slopes76D18532503272q9lsny12319481:12000
Orpark silty clay loam, 3 to 8 percent slopesOrB3282893059q1fny60519811:24000
Orpark silty clay loam, 0 to 3 percent slopesOrA1512893049q1dny60519811:24000
Orpark silty clay loam, 8 to 15 percent slopesOrC812893069q1gny60519811:24000

Map of Series Extent

Approximate geographic distribution of the ORPARK 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 .