Official Series Description


Lab Data Summary

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

Click the image to view it full size.

Pedons used in the lab summary:

MLRALab IDPedon IDTaxonnameCINSSL / NASIS ReportsLink To SoilWeb GMap
67B97P058496CO628033WAGES6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties37.1799722,-103.6117778
67B12N8340S2012CO001004Wages6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties39.7507778,-104.6097222
n/a02N0410S2001CO075001Wages7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Propertiesn/a

Water Balance

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

Click the image to view it full size.



Click the image to view it full size.

Sibling Summary

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

Click the image to view it full size.

Select annual climate data summaries for the WAGES series and siblings. 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 WAGES 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 .

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.

Click the image to view it full size.

Competing Series

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

Click the image to view it full size.

Select annual climate data summaries for the WAGES 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 WAGES 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.

Click the image to view it full size.

Soil series sharing subgroup-level classification with WAGES, 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. CO-2011-05-27-12 | Phillips County - 1971

    Typical landscape of the Rago-Platner-Kuma association showing the major soils and the minor Wages, Eckley, and Dix soils (Soil Survey of Phillips County, Colorado; 1971).

  2. CO-2011-05-27-13 | Phillips County - 1971

    Cross section of Phillips County showing relationship of major soils to parent materials (Soil Survey of Phillips County, Colorado; 1971).

Map Units

Map units containing WAGES 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
Wages loam, 0 to 3 percent slopesWa32147942272xst8co00919661:20000
Wages loam, 2 to 6 percent slopes9154169968882xst5co06319961:24000
Kimst-Wages sandy clay loams, 1 to 6 percent slopes40262179684037rwco06319961:24000
Wages loam, 6 to 15 percent slopes92237989687037svco06319961:24000
Eckley-Wages complex, 4 to 20 percent slopes22128839681337r0co06319961:24000
Wages loam, 0 to 2 percent slopes903770968872xst4co06319961:24000
Wages-Kimst loams, 1 to 4 percent slopes9311489686737srco06319961:24000
Wages-Weld complex, 0 to 3 percent slopes9411479686637sqco06319961:24000
Wages loam, 2 to 6 percent slopes209225301052902xst5co07320011:24000
Wages loam, 6 to 12 percent slopes210162391052913jkhco07320011:24000
Wages-Karval complex, 6 to 15 percent slopes212142141052933jkkco07320011:24000
Wages loam, dry, 1 to 5 percent slopes21113541052923jkjco07320011:24000
Wages loam, 3 to 5 percent slopes1191985994481359sco07519741:24000
Wages loam, 0 to 3 percent slopes11817844944802xst3co07519741:24000
Wages loam, 5 to 9 percent slopes1201461094483359vco07519741:24000
Wages-Rosebud loams, 5 to 9 percent slopes1241116794487359zco07519741:24000
Wages-Manter complex, 3 to 9 percent slopes1221090894485359xco07519741:24000
Wages-Altvan complex, 5 to 9 percent slopes121694194484359wco07519741:24000
Wages-Rosebud loams, 3 to 5 percent slopes123109694486359yco07519741:24000
Wages-Eckley-Dix complex, 5 to 25 percent slopesWeE81459479135msco09519711:20000
Wages-Campus-Weld loams, 3 to 5 percent slopesWcC70289479035mrco09519711:20000
Wages-Campus-Weld loams, 0 to 3 percent slopesWcB20039478935mqco09519711:20000
Wages gravelly loam, 3 to 5 percent slopesWaC91329496435tcco11519691:15840
Wages gravelly loam, 5 to 9 percent slopesWaD82419496535tdco11519691:15840
Keith and wages soils, 5 to 12 percent slopesKwE15329494935swco11519691:15840
Wages-Ascalon loams, 2 to 5 percent slopes75347759504035wtco12119821:24000
Wages-Ascalon loams, 5 to 9 percent slopes76169889504135wvco12119821:24000
Wages-Canyon complex7771629504235wwco12119821:24000
Wages-Ascalon fine sandy loams, 9 to 15 percent slopes7434339503935wsco12119821:24000
Wages fine sandy loam, 0 to 6 percent slopes7510833951713611co61719801:24000
Wages fine sandy loam, 6 to 9 percent slopes767052951723612co61719801:24000
Wages loam, 0 to 6 percent slopes836295182361dco61719801:24000
Wages loam, 2 to 9 percent slopes1224540498267jqh4co63719861:24000
Wages loam, 4 to 8 percent slopesWc12341346229cm8pmt60719701:24000
Wages loam, 2 to 4 percent slopesWb2558346228cm8nmt60719701:24000
Wages loam, 0 to 2 percent slopesWa418346227cm8mmt60719701:24000
Wages loam, 6 to 10 percent slopesP546C276127459412s030wy01119781:24000
Wages loam, 1 to 6 percent slopesP546B204627459402s02zwy01119781:24000
Wages loam, 6 to 10 percent slopes205154349292cqghwy01119781:24000
Wages loam, 1 to 6 percent slopes20453349291cqggwy01119781:24000
Reicess-Wages, cool loams, 6 to 10 percent slopesP378C4527681872rwfcwy01119781:24000
Reicess-Wages, cool loams, 6 to 10 percent slopesP378C372427460022rwfcwy04519841:24000
Reicess-Wages, cool loams, 2 to 6 percent slopesP378B188827460012rwfbwy04519841:24000
Wages loam, 0 to 3 percent slopes50136091048422xst3wy62119801:24000
Wages loam, 0 to 6 percent slopes631331047743j0twy62119801:24000
Wages loam, 0 to 6 percent slopes195127751049963j7zwy72119941:24000

Map of Series Extent

Approximate geographic distribution of the WAGES 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 .