Official Series Description


Lab Data Summary

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

There are insufficient data to create the lab data summary figure.


Water Balance

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

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 PINCONNING 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 PINCONNING 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 PINCONNING 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 PINCONNING, 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-2010-09-28-31 | Akwesasne Territory: St. Regis Mohawk Reservation - 2005

    One of three major rivers flows through Akwesasne. The Raquetter River sliced through glacial till ridges (consisting of Grenville, Hogansburg, and Malone soils) and deposited fine-grained sands at varying depths over silt, clay, or loamy till. The silt and clay sediments of Adjidaumo and Muskellunge soils are remnants of proglacial lake and marine environments (Soil Survey of Akwesasne Territory; St. Regis Mohawk Reservation; 2005).

Map Units

Map units containing PINCONNING 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
Pinconning loamy sandPs31021892386bxgmi01119641:20000
Pinconning mucky loamy sand6615671906086dbnmi03119881:15840
Pinconning mucky loamy sand687647415166fy0gmi03319891:15840
Rockcut-Pinconning complex, 0 to 3 percent slopes156A1025415114fxysmi03319891:15840
Pinconning-Allendale loamy fine sands, 0 to 2 percent slopesPnA427918689068gqmi04919671:20000
Pinconning loamy sandPs28871898446ck0mi05119661:15840
Allendale-Pinconning-Pickford associationAP3461897426cfqmi05119661:15840
Richter, Tonkey, and Pinconning loams, 0 to 2 percent slopesRrA8441895566c7qmi05519631:15840
Richter, Tonkey, and Pinconning loams, 2 to 6 percent slopesRrB4351895576c7rmi05519631:15840
Richter, Tonkey, and Pinconning loams, 0 to 2 percent slopes, overwashRpA601895556c7pmi05519631:15840
Richter, Tonkey, and Pinconning loams, 6 to 12 percent slopesRrC551895586c7smi05519631:15840
Pinconning loamy sandPn3651921376fxzmi08719661:15840
Pinconning loamy sandPn951901886cx3mi13319661:15840
Pinconning and Breckenridge sandy loamsPr20391927226gjvmi13919671:15840
Pinconning loamy sandPn12641927216gjtmi13919671:15840
Pinconning mucky sand7564871909436dpgmi14119891:15840
Pinconning-Allendale loamy fine sands, 0 to 2 percent slopes122A15423994002ljs0mi14519911:15840
Pinconning mucky fine sandPn627187449691rmi14719691:20000
Pinconning mucky loamy fine sandPg13362902149qzrny01919951:24000
Pinconning mucky loamy fine sand1491322960929y3cny68919991:24000
Pinconning loamy fine sandPn651422262g5dcwi02919751:15840
Pinconning loamy sand, 0 to 2 percent slopesPn1619422435g5kywi07519871:20000

Map of Series Extent

Approximate geographic distribution of the PINCONNING 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 .