Soil Data Explorer - SCOOTENEY

Official Series Description

Lab Data Summary

Aggregate lab data for the SCOOTENEY soil series. This aggregation is based on all pedons with a current taxon name of SCOOTENEY, 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 SCOOTENEY were used in the calculation. Source: KSSL snapshot (updated 2020-03-18). 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 SCOOTENEY 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.

Sibling Summary

Siblings are those soil series that occur together in map units, in this case with the SCOOTENEY series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot (updated 2024-10-24), parsed OSD records (updated 2024-10-23) and snapshot of SC database (updated 2024-10-23).

Select annual climate data summaries for the SCOOTENEY series and siblings. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data (updated 2024-10-23).

Geomorphic description summaries for the SCOOTENEY 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 (updated 2024-10-23).

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.

Competing Series

Soil series competing with SCOOTENEY share the same family level classification in Soil Taxonomy. Source: parsed OSD records (updated 2024-10-23) and snapshot of the SC database (updated 2024-10-23).

Select annual climate data summaries for the SCOOTENEY series and competing. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data (updated 2024-10-23).

Geomorphic description summaries for the SCOOTENEY 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 (updated 2024-10-23).

There are insufficient data to create the 3D mountains figure.

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

Soil series sharing subgroup-level classification with SCOOTENEY, 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 (updated 2024-10-23).

Block Diagrams

Click a link below to display the diagram. Note that these diagrams may be from multiple survey areas.

1. WA-2012-05-11-15 | Benton County Area - July 1971

   Cross section of Benton County, showing the relationship of elevation, precipitation, and major soil series (Soil Survey of Benton County Area, Washington; April 1980).

Map Units

Map units containing SCOOTENEY 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
Scooteney loam, 0 to 2 percent slopes	SmA	7043	68256	290t	wa001	1965	1:20000
Scooteney stony loam, 0 to 15 percent slopes	SoD	6329	68261	290z	wa001	1965	1:20000
Scooteney loam, 2 to 5 percent slopes	SmB	2917	68257	290v	wa001	1965	1:20000
Scooteney loam, 10 to 15 percent slopes	SmD	1127	68259	290x	wa001	1965	1:20000
Scooteney cobbly loam, 0 to 5 percent slopes	SnB	803	68260	290y	wa001	1965	1:20000
Scooteney loam, 5 to 10 percent slopes	SmC	641	68258	290w	wa001	1965	1:20000
Scooteney silt loam, gravelly subsoil, 0 to 2 percent slopes	SdA	6663	69581	2bdk	wa605	1965	1:20000
Scooteney silt loam, gravelly subsoil, 2 to 5 percent slopes	SdB	4023	69582	2bdl	wa605	1965	1:20000
Scooteney silt loam, 0 to 5 percent slopes	ScAB	2348	69578	2bdg	wa605	1965	1:20000
Scootney silt loam, 2 to 5 percent slopes	ScB	1941	69579	2bdh	wa605	1965	1:20000
Scooteney silt loam, gravelly subsoil, 5 to 15 percent slopes	SdD	1420	69583	2bdm	wa605	1965	1:20000
Scooteney silt loam, 0 to 2 percent slopes	ScA	1322	69577	2bdf	wa605	1965	1:20000
Scooteney stony silt loam, 0 to 30 percent slopes	SeE	585	69584	2bdn	wa605	1965	1:20000
Scooteney silt loam, 5 to 8 percent slopes	ScC	340	69580	2bdj	wa605	1965	1:20000
Scooteney gravelly silt loam, 2 to 5 percent slopes	SgB	293	69585	2bdp	wa605	1965	1:20000
Scooteney silt loam, 2 to 5 percent slopes	125	10	76614	2kqf	wa639	2003	1:24000
Scooteney cobbly silt loam, 0 to 5 percent slopes	127	1	76613	2kqd	wa639	2003	1:24000
Scooteney silt loam, 0 to 2 percent slopes	124	1553	68908	29pv	wa677	1979	1:24000
Scooteney cobbly silt loam, 0 to 5 percent slopes	127	1177	68911	29py	wa677	1979	1:24000
Scooteney silt loam, 2 to 5 percent slopes	125	1142	68909	29pw	wa677	1979	1:24000
Scooteney silt loam, 5 to 15 percent slopes	126	232	68910	29px	wa677	1979	1:24000

Map of Series Extent

Approximate geographic distribution of the SCOOTENEY 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 (updated 2024-10-30).