Official Series Description


Lab Data Summary

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

Click the image to view it full size.

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

Competing Series

Soil series competing with SPARKY 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 SPARKY 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 SPARKY 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 SPARKY, 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 SPARKY 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
Sparky-Jedediah family, complex, 10 to 60 percent slopes, MLRA 13749331636262mnb6id70919761:24000
Sparky-Jedediah family, complex, 10 to 60 percent slopes, MLRA 1374910425584322mnb6id71119831:24000
Zeebar family-Sparky complex, 20 to 50 percent slopes548931732552rg06id71119831:24000
Farlow family-Starley family, extremely stony surface-Sparky complex, 40 to 70 percent slopes96221131732852wxbmid71220081:24000
Sparky-Jedediah family, complex, 10 to 60 percent slopes, MLRA 43B749433131733182x01zid71220081:24000
Sparky-Jedediah family, complex, 10 to 60 percent slopes, MLRA 13749883424326072mnb6id7131:24000
Povey, very stony surface-Sparky-Starley family, very stony surface, complex, 15 to 45 percent slopes1057702329808432x005id7131:24000
Farlow family-Starley family-Sparky complex, 35 to 60 percent slopes, very stony surface390588126198362rfzqid7131:24000
Sparky-Sparky, moist-Sedgway family, complex, 25 to 50 percent slopes1049502229808402x002id7131:24000
Farlow family-Starley family, extremely stony surface-Sparky complex, 40 to 70 percent slopes962402029682382wxbmid7131:24000
Zeebar family-Sparky complex, 20 to 50 percent slopes548400926198742rg06id7131:24000
Sparky-Farlow family, extremely bouldery surface-Mccadden family, rubbly surface, complex, 12 to 35 percent slopes1028355629170662w9rvid7131:24000
Pavohroo-Kingmine family, stony surface-Sparky, stony surface, complex, 15 to 45 percent slopes965333729682342wxbgid7131:24000
Sparky-Jedediah family, complex, 10 to 60 percent slopes, MLRA 43B7494337629809062x01zid7131:24000
Farlow family-Starley family-Sparky complex, 35 to 60 percent slopes, very stony surface3904631733412rfzqid71419971:24000
Zeebar family-Sparky complex, 20 to 50 percent slopes5484231733472rg06id71419971:24000
Zeebar family-Sparky complex, 20 to 50 percent slopes54819431733782rg06id71519941:24000
Sparky-Jedediah family, complex, 10 to 60 percent slopes, MLRA 1374923631634282mnb6id7161:24000
Farlow family-Starley family, extremely stony surface-Sparky complex, 40 to 70 percent slopes962131634812wxbmid7161:24000
Sparky-Ezbin complex, 5 to 45 percent slopes43B755367228093692pxfrid75819981:24000
Sparky-Ezbin complex, 5 to 45 percent slopes43B755263924976962pxfrid76120181:24000

Map of Series Extent

Approximate geographic distribution of the SPARKY 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 .