Official Series Description


Lab Data Summary

Aggregate lab data for the SORTER soil series. This aggregation is based on all pedons with a current taxon name of SORTER, 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 SORTER 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
152B40A443764TX339007Sorter6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties30.2555561,-95.2316666
152B40A443864TX339008Sorter5Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties30.167223,-95.2638855
152BS00TX457002S00TX457002Sorter5Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties30.5333056,-94.4733611
152BS95TX199008S95TX199008Sorter5Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties30.4194444,-94.5036111

Water Balance

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

There are insufficient data to create the 3D terrace figure.

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Competing Series

Soil series competing with SORTER 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 SORTER series and competing. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data .

There are insufficient data to create the annual climate figure.

Geomorphic description summaries for the SORTER 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 SORTER, 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. TX-2010-11-03-25 | Hardin County - 2006

    Pattern of soils and underlying material in the Dallardsville-Sorter-Plank general soil map unit (Soil Survey of Hardin County, Texas; 2006).

  2. TX-2010-11-03-26 | Hardin County - 2006

    Pattern of soils and underlying material in the Kirbyville-Waller-Otanya general soil map unit (Soil Survey of Hardin County, Texas; 2006).

Map Units

Map units containing SORTER 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
Sorter-Dallardsville complex, 0 to 1 percent slopesSomA975563797062s0y8tx19919981:24000
Sorter silt loam, 0 to 1 percent slopesSolA6882760772f761tx19919981:24000
Sorter silt loam, 0 to 1 percent slopesSolA87912760806f761tx20119731:20000
Sorter-Urban land complex, 0 to 1 percent slopesSouA655427608252s0x2tx20119731:20000
Sorter-Tarkington complex, 0 1 percent slopesSosA265627608172s0wptx20119731:20000
Sorter-Tarkington complex, 0 1 percent slopesSosA2932728882972s0wptx29119861:24000
Sorter silt loam, 0 to 1 percent slopesSolA18312888284f761tx29119861:24000
Sorter-Urban land complex, 0 to 1 percent slopesSouA95428883052s0x2tx29119861:24000
Sorter-Dallardsville complex, 0 to 1 percent slopesSomA6193692892s0y8tx29119861:24000
Sorter-Tarkington complex, 0 1 percent slopesSosA3266128883582s0wptx33919671:20000
Sorter-Urban land complex, 0 to 1 percent slopesSouA1446528883662s0x2tx33919671:20000
Sorter silt loam, 0 to 1 percent slopesSolA66112888350f761tx33919671:20000
Sorter-Dallardsville complex, 0 to 1 percent slopesSomA1437114794052s0y8tx45720071:24000
Sorter-Dallardsville complex, 0 to 1 percent slopesSomA1433328884132s0y8tx61119801:20000
Sorter-Dallardsville complex, 0 to 1 percent slopesSomA122625762182s0y8tx61719831:24000
Sorter-Tarkington complex, 0 1 percent slopesSosA1168628884632s0wptx61719831:24000
Sorter silt loam, 0 to 1 percent slopesSolA45132888448f761tx61719831:24000

Map of Series Extent

Approximate geographic distribution of the SORTER 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 .