Official Series Description


Lab Data Summary

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

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Pedons used in the lab summary:

MLRALab IDPedon IDTaxonnameCINSSL / NASIS ReportsLink To SoilWeb GMap
43B92P050991MT049010Tolex7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties46.7562904,-111.9775467

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the TOLEX 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 TOLEX 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 TOLEX 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 TOLEX 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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There are insufficient data to create the 3D flats position figure.

Competing Series

Soil series competing with TOLEX 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 TOLEX series and competing. 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 TOLEX 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 .

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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 TOLEX, 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

No block diagrams are available.

Map Units

Map units containing TOLEX 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
Tolex very gravelly sandy loam, 15 to 40 percent slopes1157228498259jqgwco63719861:24000
Wahatoya-Tolex complex, 25 to 55 percent slopes1232565498268jqh5co63719861:24000
Tolex-Larkson complex, warm, 25 to 50 percent slopes116329498260jqgxco63719861:24000
Tolex very channery coarse sandy loam, 45 to 70 percent slopes812G2699155737571smt62219971:24000
Tolex very channery coarse sandy loam, moist, 45 to 70 percent slopes912G1108155766572qmt62219971:24000
Tolex very channery coarse sandy loam, 15 to 45 percent slopes812E827155736571rmt62219971:24000
Tolex very channery coarse sandy loam, moist, 15 to 45 percent slopes912E601155765572pmt62219971:24000
Tolex-Mocmont-Rock outcrop complex, 25 to 60 percent slopes963F392021479434yycmt63019911:24000
Castner-Tolex-Rock outcrop complex, 8 to 60 percent slopes863E320511479254yxsmt63019911:24000
Mocmont-Tolex complex, 25 to 60 percent slopes63F222531478764yw6mt63019911:24000
Mocmont-Tolex complex, cool, 25 to 60 percent slopes84F208211479204yxmmt63019911:24000
Sawbuck-Tolex complex, 15 to 45 percent slopes171E118001477184yq3mt63019911:24000
Tolex-Holter-Castner channery loams, 8 to 45 percent slopes763E115291479054yx4mt63019911:24000
Mocmont-Bignell-Tolex very stony loams, 25 to 60 percent slopes27F99761477694yrrmt63019911:24000
Tolex channery loam, 8 to 35 percent slopes663E59591478814ywcmt63019911:24000
Rock outcrop-Tolex complex, 25 to 80 percent slopes463F59171478234ythmt63019911:24000
Tolex-Mocmont-Rock outcrop complex, cool, 25 to 60 percent slopes25F54231477584yrdmt63019911:24000
Whitecow-Tolex channery loams, 8 to 35 percent slopes385E54161478024ystmt63019911:24000
Tolex-Tolman-Hauz channery loams, 8 to 45 percent slopes563E50411478564yvkmt63019911:24000
Mocmont-Tolex-Hilger very stony loams, 15 to 45 percent slopes384E33441478014yssmt63019911:24000
Mocmont-Tolex complex, moist, 30 to 60 percent slopes684F19661478864ywjmt63019911:24000
Typic Haplustepts-Tolex complex, 25 to 60 percent slopes195F16601477294yqgmt63019911:24000
Rittel-Tolex complex, 15 to 35 percent slopes95E14431479414yy9mt63019911:24000
Mocmont-Tolex complex, 8 to 25 percent slopes63D12941478754yw5mt63019911:24000
Mocmont-Tolex complex, cool, 8 to 25 percent slopes84E8561479194yxlmt63019911:24000
Castner-Tolex-Rock outcrop complex, 8 to 60 percent slopes863E4829110474yxsmt6321:24000
Tolex very channery coarse sandy loam, 15 to 45 percent slopes812E5923775722kt1wmt63720141:24000
Mocmont-Tolex complex, 25 to 60 percent slopes121F9475347582cnpbmt64119941:24000

Map of Series Extent

Approximate geographic distribution of the TOLEX 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 .