Official Series Description


Lab Data Summary

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

Click the image to view it full size.



Click the image to view it full size.

Sibling Summary

Siblings are those soil series that occur together in map units, in this case with the MCCLUNG series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot , parsed OSD records and snapshot of SC database .

Click the image to view it full size.

Select annual climate data summaries for the MCCLUNG series and siblings. 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 MCCLUNG 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 .

Click the image to view it full size.

Click the image to view it full size.

Click the image to view it full size.

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 MCCLUNG share the same family level classification in Soil Taxonomy. Source: parsed OSD records and snapshot of the SC database .

Click the image to view it full size.

Select annual climate data summaries for the MCCLUNG 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 MCCLUNG 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.

Click the image to view it full size.

Click the image to view it full size.

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

Soil series sharing subgroup-level classification with MCCLUNG, 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 MCCLUNG 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
Dekalb-Lily-McClung complex, 15 to 35 percent slopes17D6243834340x066va00520031:24000
Lily-McClung-Dekalb complex, 8 to 15 percent slopes34C946834366x071va00520031:24000
McClung-Watahala-Dekalb complex, 15 to 35 percent slopes37D331834369x074va00520031:24000
Dekalb-Watahala-McClung complex, 35 to 55 percent slopes20E121834343x069va00520031:24000
Dekalb-Watahala-McClung complex, 35 to 55 percent slopes16E1856414514811kqczva01720051:24000
McClung-Watahala-Dekalb complex, 15 to 35 percent slopes38D1056414514801kqcyva01720051:24000
Dekalb-Lily-McClung complex, 15 to 35 percent slopes13D725814514301kqbbva01720051:24000
Lily-McClung-Dekalb complex, 8 to 15 percent slopes31C479514514291kqb9va01720051:24000
McClung-Watahala-Dekalb complex, 8 to 15 percent slopes38C252514514791kqcxva01720051:24000
McClung-Lily complex, 3 to 8 percent slopes37B75114514281kqb8va01720051:24000
Dekalb-Watahala-McClung complex, 35 to 55 percent slopes15F540025120392q7vlva09120101:24000
McClung-Watahala-Dekalb complex, 15 to 35 percent slopes35E340325120762q9hsva09120101:24000
Dekalb-Lily-McClung complex, 15 to 35 percent slopes13E280825120362q7vhva09120101:24000
Lily-McClung-Dekalb complex, 8 to 15 percent slopes28C102025120632q7wcva09120101:24000
McClung-Watahala-Dekalb complex, 8 to 15 percent slopes35C52325120772q9htva09120101:24000
Lodi-McClung-Lily complex, 15 to 35 percent slopes35E190625148132qdbsva16320101:24000
McClung-Caneyville-Dekalb complex, 35 to 55 percent slopes, very stony42F72625148222qdbvva16320101:24000
Lodi-McClung-Lily complex, 8 to 15 percent slopes35C61825148122qdbrva16320101:24000
McClung-Lodi complex, 25 to 35 percent slopes, stony55E96425085892q7r2va19520101:24000
McClung-Lodi complex, 15 to 25 percent slopes54D72825085842q7qzva19520101:24000
McClung-Lodi complex, 25 to 35 percent slopes, very rocky56E41425085902q7r5va19520101:24000
Lodi-McClung complex, 8 to 15 percent slopes48C33925085752q7qrva19520101:24000
McClung-Lodi complex, karst, 25 to 55 percent slopes, rocky57F12225085922q7r4va19520101:24000
McClung-Alticrest complex, 35 to 55 percent slopes, very rocky53F11125085832q7r1va19520101:24000
McClung-Lodi complex, karst, 8 to 25 percent slopes, rocky57D7225085912q7r3va19520101:24000
McClung-Alticrest complex, 35 to 55 percent slopes, stony52F6925085822q7r0va19520101:24000

Map of Series Extent

Approximate geographic distribution of the MCCLUNG 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 .