Official Series Description


Lab Data Summary

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

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

Competing Series

Soil series competing with TRONSEN 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 TRONSEN 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 TRONSEN 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 .

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 TRONSEN, 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 TRONSEN 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
Tronsen stony silt loam, 25 to 45 percent slopesTrE1390734022gctwa60719691:20000
Tronsen stony silt loam, 8 to 25 percent slopesTrD665734012gcswa60719691:20000
Tronsen stony silt loam, 30 to 60 percent slopes3343376791928nywa60819951:24000
Tronsen stony silt loam, 8 to 30 percent slopes3332736791528ntwa60819951:24000
Broadax-Colockum-Tronsen complex, 5 to 15 percent slopes3911390763182kdwwa63920031:24000
Tronsen-Goldendale-Horseflat complex, 15 to 30 percent slopes1017512761302k6twa63920031:24000
Oreoke-Tronsen complex, 15 to 30 percent slopes970413765872kpkwa63920031:24000
Tronsen-Goodnoe-Horseflat complex, 30 to 65 percent slopes1018282761322k6wwa63920031:24000
Cheviot-Tronsen complex, 15 to 30 percent slopes1042215761392k73wa63920031:24000
Oreoke-Tronsen complex, 30 to 60 percent slopes971105765882kplwa63920031:24000
Tronsen, extremely stony-Pushtay complex, 12 to 35 percent slopes33172060867012x6twa67620141:12000
Tronsen, extremely stony-Pushtay-Camaspatch, dry complex, 12 to 35 percent slopes33071780866632x5lwa67620141:12000
Pushtay-Tronsen, extremely stony-Camaspatch, dry complex, 12 to 35 percent slopes34041390866992x6rwa67620141:12000
Tronsen stony ashy silt loam, 35 to 60 percent slopes, extremely stony336880861752wnvwa67620141:12000
Pushtay-Tronsen, extremely stony-Camaspatch, dry complex, 35 to 60 percent slopes3405830866982x6qwa67620141:12000
Tronsen stony ashy silt loam, 12 to 35 percent slopes, extremely stony335580861772wnxwa67620141:12000
Tronsen, extremely stony-Pushtay-Camaspatch, dry complex, 35 to 60 percent slopes3308550866622x5kwa67620141:12000
Pushtay-Tronsen, extremely stony-Camaspatch, dry complex, 0 to 12 percent slopes3402360867002x6swa67620141:12000
Tronsen, extremely stony-Pushtay-Camaspatch, dry complex, 0 to 12 percent slopes3306330866652x5nwa67620141:12000
Boylston-Tronsen-Camaspatch complex, 30 to 45 percent slopes1831184708522cqkwa68119941:24000
Boylston-Tronsen-Camaspatch complex, 15 to 30 percent slopes182725708512cqjwa68119941:24000
Boylston-Tronsen-Camaspatch complex, 45 to 60 percent slopes184679708532cqlwa68119941:24000
Colockum-Tronsen complex, 3 to 15 percent slopes51253709772cvlwa68119941:24000
Tronsen stony loam, 3 to 15 percent slopes160243708272cprwa68119941:24000
Tronsen stony loam, 15 to 30 percent slopes161208708282cpswa68119941:24000

Map of Series Extent

Approximate geographic distribution of the TRONSEN 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 .