Official Series Description


Lab Data Summary

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

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Sibling Summary

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

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

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Geomorphic description summaries for the TEKOA 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 .

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Click the image to view it full size.

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 TEKOA share the same family level classification in Soil Taxonomy. Source: parsed OSD records and snapshot of the SC database .

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Select annual climate data summaries for the TEKOA 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 TEKOA 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 TEKOA, 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

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

  1. WA-2012-05-11-09 | Whitman County - April 1980

    Typical landscape in the Palouse-Thatuna-Tekoa association (Soil Survey of Whitman County, Washington; April 1980).

Map Units

Map units containing TEKOA 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
Tekoa gravelly silt loam, deep, 25 to 55 percent slopesTk6j5625020672981id05720131:24000
McCrosket-Tekoa association, 12 to 60 percent slopes14812799794382v72bid60619761:24000
Tekoa gravelly silt loam, 20 to 35 percent slopes1902068794802npwid60619761:24000
Tekoa gravelly silt loam, 35 to 65 percent slopes1911044794812npxid60619761:24000
Tekoa gravelly silt loam, 5 to 20 percent slopes189921794792npvid60619761:24000
Tekoa silt loam, 5 to 35 percent slopes, extremely stony192423794822npyid60619761:24000
Schumacher-Tekoa complex, 25 to 45 percent slopes6114726629891hnccid60619761:24000
McCrosket-Tekoa association, 12 to 60 percent slopes71249213900502v72bid62020131:24000
Schumacher-Tekoa complex, 25 to 45 percent slopes61130513899581hnccid62020131:24000
Libertybutte-Tekoa complex, 5 to 30 percent slopes6129513899591hncdid62020131:24000
Tekoa gravelly ashy silt loam, 15 to 40 percent slopes6172613899681hncpid62020131:24000
McCrosket-Tekoa association, 12 to 60 percent slopes2v72b158029366382v72bid6701:24000
Tekoa gravelly silt loam, 35 to 65 percent slopes2npx6729366542npxid6701:24000
Tekoa gravelly silt loam, 20 to 35 percent slopes2npw3429366352npwid6701:24000
Tekoa gravelly silt loam, 5 to 20 percent slopes2npv3328510152npvid6701:24000
Tekoa gravelly ashy silt loam, 15 to 40 percent slopes9617102722302332dvr0wa06320121:24000
Libertybutte-Tekoa complex, 5 to 30 percent slopes961288422302302dvqxwa06320121:24000
McCrosket-Tekoa association, 12 to 60 percent slopes971240022302402v72bwa06320121:24000
Schumacher-Tekoa complex, 25 to 40 percent slopes961138822302292dvqwwa06320121:24000
Tekoa silt loam, 3 to 25 percent slopes9827826859929cwwa07519751:20000
Tekoa stony silt loam, 25 to 40 percent slopes1021929684812982wa07519751:20000
Tekoa gravelly silt loam, 25 to 55 percent slopes1001168684792980wa07519751:20000
Tekoa gravelly silt loam, deep, 25 to 55 percent slopes101928684802981wa07519751:20000
Tekoa silt loam, 25 to 40 percent slopes993096860029cxwa07519751:20000
McCrosket-Tekoa association, 12 to 60 percent slopes971210226513872v72bwa07519751:20000
Libertybutte-Tekoa complex, 5 to 30 percent slopes96123726513842dvqxwa07519751:20000
Tekoa gravelly ashy silt loam, 15 to 40 percent slopes9617626513852dvr0wa07519751:20000

Map of Series Extent

Approximate geographic distribution of the TEKOA 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 .