Official Series Description


Lab Data Summary

Aggregate lab data for the GNOJEK soil series. This aggregation is based on all pedons with a current taxon name of GNOJEK, 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 GNOJEK 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 GNOJEK 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 GNOJEK 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 GNOJEK 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 GNOJEK 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 flats position figure.

Competing Series

Soil series competing with GNOJEK 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 GNOJEK 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 GNOJEK 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 .

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There are insufficient data to create the 3D flats position figure.

Soil series sharing subgroup-level classification with GNOJEK, 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

No block diagrams are available.

Map Units

Map units containing GNOJEK 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
Whitlash, extremely stony-Gnojek, extremely stony-Rock outcrop complex, 20 to 60 percent slopes924F31185972920f68mt60520071:24000
Gnojek-Duffson complex, 15 to 45 percent slopes12E69371476494ymwmt60919711:24000
Gnojek, dry-Wickes-Gnojek, moist complex, 15 to 45 percent slopes1E22701476394ymkmt60919711:24000
Gnojek-Duffson complex, 4 to 15 percent slopes13D12951476504ymxmt60919711:24000
Gnojek, stony-Gnojek, very stony-Wickes, stony complex, 15 to 45 percent slopes6E8311476444ymqmt60919711:24000
Circleville family-Gnojek, stony complex, 4 to 15 percent slopes7D3031476454ymrmt60919711:24000
Gnojek, stony-Wickes, stony-Rock outcrop complex, 8 to 35 percent slopes2361E14791509145216mt62719981:24000
Gnojek, stony-Wickes, stony-Rock outcrop complex, 35 to 70 percent slopes2360F11211509135215mt62719981:24000
Gnojek, stony-Wickes, stony-Shawmut complex, 8 to 35 percent slopes2360E9101509125214mt62719981:24000
Gnojek, stony-Rock outcrop-Wickes, stony, complex, 25 to 60 percent slopes2361F4701509155217mt62719981:24000
Shawmut-Wickes-Gnojek complex, 2 to 15 percent slopes, bouldery745D36615131852g7mt62719981:24000
Absarook, stony-Cedric, very stony-Pachel complex, 2 to 8 percent slopes90C25223927702l9w4mt6321:24000
Absarook, stony-Gnojek, very stony complex, 2 to 8 percent slopes90C1091713833841hfj9mt63720141:24000
Quincreek, very stony-Gnojek, extremely stony-Pachel, stony complex, 8 to 15 percent slopes90D345813833831hfj8mt63720141:24000
Gnojek, very stony-Veatch, extremely stony-Rock outcrop complex, 25 to 60 percent slopes90F275113833861hfjcmt63720141:24000
Castner-Gnojek, very stony-Quincreek, very stony complex, 15 to 45 percent slopes638E149313896811hn2fmt63720141:24000
Cabba-Bacbuster-Gnojek complex, 2 to 15 percent slopes551D28954156939589kmt6691:24000
Tolbert-Vershal-Gnojek complex, 8 to 35 percent slopes53E5065156821585rmt6691:24000
Shawmut, very stony-Wimper, extremely bouldery-Gnojek, bouldery complex, 4 to 35 percent slopes3511E3585695978rc6xmt6691:24000
Gnojek,very stony-Tolbert,very stony-Shawmut,very stony complex, 35 to 60 percent slopes8603F32201567675840mt6691:24000
Shawmut, stony-Bowery-Gnojek, very stony complex, cool, 15 to 60 percent slopes801F16801017170134fymt6691:24000
Varney, very bouldery-Gnojek, bouldery-Chinook, bouldery complex, 2 to 45 percent slopes3501E1027156692581lmt6691:24000
Whitlash, extremely stony-Gnojek, extremely stony-Rock outcrop complex, 20 to 60 percent slopes924F134114248491jtnwmt67020071:24000
Gnojek-Libeg-Philipsburg complex, 8 to 30 percent slopes, stony106E852320375brcpmt67020071:24000
Udecide-Gnojek, stony complex, 2 to 8 percent slopes177C48214246941jthwmt67020071:24000
Whitlash-Gnojek complex, 20 to 60 percent slopes, very stony942F25614248311jtn9mt67020071:24000

Map of Series Extent

Approximate geographic distribution of the GNOJEK 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 .