Official Series Description


Lab Data Summary

Aggregate lab data for the CORNING soil series. This aggregation is based on all pedons with a current taxon name of CORNING, 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 CORNING 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
17UCD585200858-CA-52-008CORNING3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties40.1374969,-122.2494736
1779P022779CA067002Corning7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties38.3110123,-121.1207428
1740A2923S1945CA021012Corning4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties39.7975006,-122.1663895
1740A2925S1945CA021013Corning4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties39.788887,-122.1750031
1740A2924S1945CA103003Corning4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties39.9936104,-122.2241669
1740A2926S1945CA103014Corning4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties39.836113,-122.1958313

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the CORNING 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 CORNING 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 CORNING 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 CORNING 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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There are insufficient data to create the 3D flats position figure.

Competing Series

Soil series competing with CORNING 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 CORNING 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 CORNING 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 CORNING, 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. CA-2010-08-30-05 | Colusa County - 2006

    Typical pattern of soils on the western edge of the Sacramento Valley and on the Coast Range foothills (Soil Survey of Colusa County, California).

Map Units

Map units containing CORNING 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
Corning clay loam, 1 to 5 percent slopes2308759461605hhbhca01119991:24000
Corning gravelly loam, 2 to 8 percent slopesCwB6256458621hd77ca02119611:20000
Corning-Gullied land complex, 2 to 10 percent slopesCwxB2957458622hd78ca02119611:20000
Corning gravelly loam, 0 to 2 percent slopesCwA2398458620hd76ca02119611:20000
Corning-Newville-Gullied land complex, 3 to 15 percent slopesCyC1371458624hd7bca02119611:20000
Corning-Redding gravelly loams, 1 to 3 percent slopesCzB948458625hd7cca02119611:20000
Corning-Newville gravelly loams, 3 to 15 percent slopesCxC672458623hd79ca02119611:20000
Corning complex, 0 to 8 percent slopes12514990461869hhm0ca06719891:24000
Corning-Redding complex, 8 to 30 percent slopes1262880461870hhm1ca06719891:24000
Corning-Redding complex, 8 to 15 percent slopes1361645462028hhs4ca07719901:24000
Corning-Redding complex, 2 to 8 percent slopes135730462027hhs3ca07719901:24000
Corning gravelly loam, 0 to 12 percent slopes, MLRA 17CvD273754560742xc9gca09519691:24000
Corning gravelly loam, 3 to 30 percent slopes, MLRA 17CvE25894560752xc9hca09519691:24000
Corning gravelly loam, 0 to 12 percent slopes, MLRA 17CtD2222474592212xc9gca11319681:20000
Corning gravelly loam, 3 to 30 percent slopes, MLRA 17CtE210634592222xc9hca11319681:20000
Redding-Corning complex, 0 to 3 percent slopes2093857460516hg6cca61819911:24000
Redding-Corning complex, 3 to 8 percent slopes2103775460517hg6dca61819911:24000
Redding and Corning gravelly loams, 2 to 9 percent slopes17611000460340hg0pca62019751:24000
Redding and Corning gravelly loams, 9 to 15 percent slopes1771105460341hg0qca62019751:24000
Corning gravelly sandy loam, 15 to 30 percent slopesCyD614462556hjb5ca64419591:24000
Corning gravelly sandy loam, 8 to 15 percent slopesCyC357462555hjb4ca64419591:24000
Corning gravelly sandy loam, 3 to 8 percent slopesCyB259462554hjb3ca64419591:24000
Corning-Newville gravelly loams, 3 to 10 percent slopes , erodedCxB235782460723hgf1ca64519611:20000
Corning-Redding gravelly loams, 0 to 5 percent slopesCyB24307460724hgf2ca64519611:20000
Corning gravelly loam, 0 to 3 percent slopes, MLRA 17CwA74494607212xc9bca64519611:20000
Corning gravelly loam, 0 to 6 percent slopes, MLRA 17CwB44904607222xc9dca64519611:20000
Corning gravelly loam, 0 to 8 percent slopesCgB5180462985hjs0ca64819591:20000
Corning gravelly loam, 8 to 30 percent slopesCgD3154462986hjs1ca64819591:20000
Corning gravelly loam, 8 to 30 percent slopes, erodedCgD21708462987hjs2ca64819591:20000
Corning gravelly sandy loam, 8 to 30 percent slopesCkD1686462990hjs5ca64819591:20000
Corning gravelly sandy loam, 0 to 8 percent slopesCkB1392462989hjs4ca64819591:20000
Corning gravelly sandy loam, 8 to 30 percent slopes, erodedCkD2969462991hjs6ca64819591:20000
Corning cobbly loam, 8 to 30 percent slopesCfD138462984hjrzca64819591:20000
Corning gravelly loam, 30 to 45 percent slopes, erodedCgE2124462988hjs3ca64819591:20000
Corning gravelly sandy loam, 30 to 45 percent slopes, erodedCkE288462992hjs7ca64819591:20000
Corning cobbly loam, 3 to 8 percent slopesCfB85462983hjryca64819591:20000
Corning gravelly loam, 1 to 8 percent slopes, dry, MLRA 17CyB2074633782xc9fca65119591:20000
Corning gravelly loam, 0 to 4 percent slopes, dry, MLRA 17CyA1374633772xc9cca65119591:20000

Map of Series Extent

Approximate geographic distribution of the CORNING 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 .