Soil Data Explorer - SEARING

Official Series Description

Lab Data Summary

Aggregate lab data for the SEARING soil series. This aggregation is based on all pedons with a current taxon name of SEARING, 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 SEARING were used in the calculation. Source: KSSL snapshot (updated 2020-03-13). 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 SEARING 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 SEARING series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot (updated 2024-02-21), parsed OSD records (updated 2023-10-02) and snapshot of SC database (updated 2023-10-02).

Select annual climate data summaries for the SEARING 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 2023-10-09).

Geomorphic description summaries for the SEARING 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 2023-10-04).

Competing Series

Soil series competing with SEARING share the same family level classification in Soil Taxonomy. Source: parsed OSD records (updated 2023-10-02) and snapshot of the SC database (updated 2023-10-02).

Select annual climate data summaries for the SEARING 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 2023-10-09).

There are insufficient data to create the annual climate figure.

Geomorphic description summaries for the SEARING 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 2023-10-04).

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.

Soil series sharing subgroup-level classification with SEARING, 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 2023-10-02).

Block Diagrams

No block diagrams are available.

Map Units

Map units containing SEARING 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
Searing loam, 3 to 7 percent slopes	Sc	4037	345658	clp8	mt109	1956	1:31680
Searing loam, hilly	SH	14192	346136	cm5p	mt607	1970	1:24000
Searing-Ringling complex, rolling	SI	13841	346137	cm5q	mt607	1970	1:24000
Searing loam, undulating	Sg	1451	346156	cm6b	mt607	1970	1:24000
Searing-Ringling loams, 3 to 6 percent slopes	E3043B	45	1715191	1vzvc	nd007	1998	1:24000
Searing-Ringling loams, 3 to 6 percent slopes	E3043B	1577	2563606	1vzvc	nd011	1969	1:20000
Searing-Ringling loams, 6 to 9 percent slopes	E3043C	680	2563607	2q38v	nd011	1969	1:20000
Searing loam, 6 to 9 percent slopes	SeC	9	992899	12b60	nd011	1969	1:20000
Searing loam, 0 to 6 percent slopes	SeB	8	992898	12b5z	nd011	1969	1:20000
Searing-Ringling loams, 6 to 9 percent slopes	E3043C	597	2707217	2q38v	nd025	1981	1:20000
Searing-Ringling loams, 3 to 6 percent slopes	E3043B	394	2707216	1vzvc	nd025	1981	1:20000
Brandenburg-Searing-Dogtooth complex, 6 to 15 percent slopes	E3013D	8738	2715086	cdtr	nd053	2003	1:24000
Searing-Ringling loams, 3 to 6 percent slopes	E3043B	317	2715090	1vzvc	nd053	2003	1:24000
Searing-Ringling loams, 3 to 6 percent slopes	E3043B	1062	2699314	1vzvc	nd057	1976	1:20000
Searing-Ringling loams, 6 to 9 percent slopes	E3043C	426	2699315	2q38v	nd057	1976	1:20000
Searing loam, 0 to 3 percent slopes	E3041A	42	2699313	2qz91	nd057	1976	1:20000
Searing-Ringling loams, 3 to 6 percent slopes	E3043B	501	2759693	1vzvc	nd059	1998	1:20000
Searing loam, 0 to 3 percent slopes	E3041A	196	2699209	2qz91	nd059	1998	1:20000
Searing-Ringling complex, 3 to 6 percent slopes, very stony	E3045B	1304	2715846	2q38w	nd087	1974	1:20000
Searing-Ringling loams, 3 to 6 percent slopes	E3043B	909	2715845	1vzvc	nd087	1974	1:20000
Searing-Ringling complex, low precipitation, 3 to 6 percent slopes, very stony	L3045B	323	2715930	2qxlc	nd087	1974	1:20000
Searing loam, low precipitation, 3 to 6 percent slopes	L3039B	154	2715929	2qxlb	nd087	1974	1:20000
Searing-Ringling loams, 6 to 9 percent slopes	E3043C	2	2758520	2q38v	nd087	1974	1:20000
Searing-Ringling loams, 3 to 6 percent slopes	E3043B	285	1713547	1vzvc	nd089	1965	1:20000
Brandenburg-Searing complex, 3 to 70 percent slopes	E3001F	1080	2662579	2q38q	nd105	1993	1:24000
Searing-Ringling association, 2 to 75 percent slopes	252	2731	361000	d3n5	wy633	1987	1:24000

Map of Series Extent

Approximate geographic distribution of the SEARING 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 2023-10-04).