Official Series Description


Lab Data Summary

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

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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 KLUG, 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 KLUG 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
Bradshaw-Klug, very stony surface-Howcan, stony surface, complex, 5 to 55 percent slopes127AT1192832390082ztdnid7031:24000
Klug-Zeebar complex, 20 to 50 percent slopes108-CL260131736102sc1id7031:24000
Lag-Klug association, 50 to 70 percent slopes112-CL106932390162sc6id7031:24000
Klug gravelly loam, low precipitation, 5 to 20 percent slopes104-CL41132390152sbxid7031:24000
Ketchum, very stony surface-Klug, very stony surface-Como, families, complex, 25 to 70 percent slopes127CD332043330mr7id7201:24000
Klug-Gaciba-Dacont complex, 20 to 70 percent slopes105-CL332044930mrgid7201:24000
Lag-Klug association, 50 to 70 percent slopes112-CL33204542sc6id7201:24000
Klug-Povey complex, 30 to 60 percent slopes10622687829862sbzid75219991:24000
Povey-Klug, cool complex, 25 to 60 percent slopes17718460830642sfhid75219991:24000
Klug-Gaciba-Dacont complex, 20 to 70 percent slopes10512095829852sbyid75219991:24000
Lag-Klug association, 50 to 70 percent slopes1129086829932sc6id75219991:24000
Klug, low precipitation-Povey complex, 25 to 60 percent slopes1077137829872sc0id75219991:24000
Klug-Zeebar complex, 20 to 50 percent slopes1085467829882sc1id75219991:24000
Bradshaw-Klug, very stony surface-Howcan, stony surface, complex, 5 to 55 percent slopes127AT425932390562ztdnid75219991:24000
Klug gravelly loam, low precipitation, 5 to 20 percent slopes104744829842sbxid75219991:24000
Ketchum, very stony surface-Klug, very stony surface-Como, families, complex, 25 to 70 percent slopes127CD399331244030mr7id75219991:24000
Povey-Klug, cool complex, 25 to 60 percent slopes1771061202363325xrhid75819981:24000
Klug-Parvis complex, 20 to 60 percent slopes511693790662n8jid76319981:24000

Map of Series Extent

Approximate geographic distribution of the KLUG 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 .