Soil Data Explorer - TONKAWA

Official Series Description

Lab Data Summary

Aggregate lab data for the TONKAWA soil series. This aggregation is based on all pedons with a current taxon name of TONKAWA, 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 TONKAWA were used in the calculation. Source: KSSL snapshot (updated 2020-03-13). 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
133B	11N0036	S2010TX3471001	Tonkawa	6	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	31.8309898,-94.6077499
133B	S89TX401002	S89TX401002	Tonkawa	4	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	31.8476772,-94.6034622

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the TONKAWA 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 TONKAWA 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 TONKAWA 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 TONKAWA 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.

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

Competing Series

Soil series competing with TONKAWA 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 TONKAWA 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 TONKAWA 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 TONKAWA, 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. TX-2012-03-21-76 | Smith County - July 1993

   Typical pattern of soils and parent material in the Wolfpen-Pickton general soil map unit (Soil Survey of Smith County, TX; 1993).

Map Units

Map units containing TONKAWA 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
Tonkawa fine sand, 1 to 8 percent slopes	ToD	3225	575116	2s630	tx001	1970	1:20000
Tonkawa fine sand, 1 to 8 percent slopes	ToC	2527	375421	dlnc	tx161	1986	1:24000
Tonkawa fine sand, 8 to 15 percent slopes	ToE	278	375422	2s632	tx161	1986	1:24000
Tonkawa fine sand, 1 to 6 percent slopes	36	13441	367627	2s631	tx213	1978	1:20000
Tonkawa fine sand, 5 to 12 percent slopes	37	3891	367628	dbjz	tx213	1978	1:20000
Tonkawa-Urban land complex, 1 to 5 percent slopes	38	578	367629	dbk0	tx213	1978	1:20000
Tonkawa fine sand, 1 to 8 percent slopes	ToC	748	575555	2s630	tx225	1994	1:24000
Tonkawa fine sand, 1 to 8 percent slopes	ToC	5556	369239	2s630	tx289	1985	1:24000
Tonkawa fine sand, 1 to 8 percent slopes	59	7636	575671	2s630	tx347	1976	1:24000
Tonkawa fine sand, 8 to 20 percent slopes	60	2390	575673	mb13	tx347	1976	1:24000
Tonkawa fine sand, 1 to 8 percent slopes	La	1323	575696	2s630	tx365	1971	1:20000
Tonkawa fine sand, 1 to 8 percent slopes	ToC	3689	578249	2s630	tx401	1993	1:24000
Tonkawa fine sand, 8 to 15 percent slopes	ToE	1306	578250	mdq7	tx401	1993	1:24000
Tonkawa fine sand, 15 to 35 percent slopes	ToG	809	578251	mdq8	tx401	1993	1:24000
Tonkawa fine sand, 1 to 6 percent slopes	ToC	3678	575829	2s631	tx423	1987	1:24000
Tonkawa fine sand, 8 to 15 percent slopes	ToE	617	575830	2s632	tx423	1987	1:24000
Tonkawa-Urban land complex, 1 to 6 percent slopes	TuC	358	575831	mb66	tx423	1987	1:24000
Tonkawa fine sand, 1 to 3 percent slopes	ToB	1885	373071	dj6k	tx467	1994	1:24000
Tonkawa fine sand, 0 to 8 percent slopes	TsB	781	1894781	21lnz	tx619	2007	1:24000
Tonkawa fine sand, 8 to 15 percent slopes	TsD	509	1894780	21lny	tx619	2007	1:24000

Map of Series Extent

Approximate geographic distribution of the TONKAWA 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).