Soil Data Explorer - ELECTRA

Official Series Description

Lab Data Summary

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

Pedons used in the lab summary:

MLRA	Lab ID	Pedon ID	Taxonname	CI	NSSL / NASIS Reports	Link To SoilWeb GMap
138	S12_009	1979-FL023-S12_009	Electra	3	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	30.0121746,-82.5751114
155	S64_010	1974-FL127-S64_010	Electra	3	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	29.2040062,-81.1042709
155	S56_015	1975-FL111-S56_015	Electra	3	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	27.3199444,-80.3182297
155	S25_009	1979-FL049-S25_009	Electra	3	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	27.5783672,-81.7843094
155	S36_024	1981-FL071-S36_024	Electra	3	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	26.7073231,-81.5790024
155	S31_007	1982-FL061-S31_007	Electra	3	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	27.7708778,-80.5083542

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the ELECTRA 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 ELECTRA 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 ELECTRA 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 ELECTRA 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 3D mountains figure.

Competing Series

Soil series competing with ELECTRA 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 ELECTRA 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 ELECTRA 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.

Soil series sharing subgroup-level classification with ELECTRA, 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

No block diagrams are available.

Map Units

Map units containing ELECTRA 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
Electra fine sand, 0 to 5 percent slopes	88	61	1473373	30c6f	fl009	1990	1:24000
Electra fine sand, 0 to 2 percent slopes	76	304	3102846	2x9dq	fl015	1982	1:20000
Electra fine sand-Urban land complex, 0 to 2 percent slopes	108	300	3045840	2x9dr	fl015	1982	1:20000
Electra variant fine sand, occasionally flooded	23	1320	797443	vrsz	fl023	1981	1:24000
Electra variant fine sand, 0 to 5 percent slopes	22	770	797442	vrsy	fl023	1981	1:24000
Electra fine sand, 0 to 2 percent slopes	26	460	1384404	2x9dq	fl049	1981	1:20000
Electra variant fine sand, 0 to 5 percent slopes	19	1250	322081	bt4q	fl053	1976	1:20000
Electra fine sand, 0 to 5 percent slopes	48	710	756768	30c6f	fl061	1984	1:20000
Electra fine sand, 0 to 2 percent slopes	76	606	3102848	2x9dq	fl071	1982	1:20000
Electra fine sand-Urban land complex, 0 to 2 percent slopes	108	235	3102847	2x9dr	fl071	1982	1:20000
Electra Variant fine sand, 0 to 5 percent slopes	18	2650	323186	bv9c	fl101	1980	1:20000
Electra fine sand, 0 to 2 percent slopes	38	742	1425028	2x9dq	fl105	1987	1:20000
Electra fine sand, 0 to 2 percent slopes	12	2800	323375	2x9dq	fl107	1985	1:15840
Electra fine sand, 0 to 5 percent slopes	12	1062	1421169	30c6f	fl111	1990	1:24000
Electra fine sand, bouldery subsurface	45	825	323653	bvsf	fl119	1985	1:24000
Electra fine sand, 0 to 5 percent slopes	22	2760	1544123	30c6f	fl127	1977	1:20000
Electra sand, 0 to 5 percent slopes	26	4717	1712909	1vhf4	fl608	1979	1:15840

Map of Series Extent

Approximate geographic distribution of the ELECTRA 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).