Official Series Description


Lab Data Summary

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

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Click the image to view it full size.

Competing Series

Soil series competing with LEX 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 LEX 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 LEX 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 LEX, 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. NE-2012-02-13-38 | Kearney County - September 1984

    Typical pattern of soils in the Alda-Wann-Boel association (Soil Survey of Kearney County, Nebraska; September 1984).

  2. NE-2012-02-13-45 | Keith County - November 1995

    Typical pattern of soils and parent material in the Lex-Norwest-Alda and Gothenburg-Platte associations (Soil Survey of Keith County, Nebraska; November 1995).

Map Units

Map units containing LEX 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
Lex silt loam, rarely flooded850636522187602dgsxne00119701:20000
Lex silt loam, rarely flooded8506244217000641v21sne01919671:20000
Lex loam, occasionally flooded85031722190592dh3kne02319791:20000
Lex-Platte complex, occasionally flooded85101522160142dcybne02519811:20000
Lex loam, rarely flooded8502545416997051v1p6ne04719751:20000
Lex loam, saline-alkali, rarely flooded8504126216997061v1p7ne04719751:20000
Lex-Platte complex, occasionally flooded8510193717109541vfd2ne05520071:12000
Alda-Platte-Lex complex, occasionally flooded8410178717109321vfccne05520071:12000
Lex loam, rarely flooded850238816922211tswsne07319781:20000
Lex loam, saline-alkali, rarely flooded85046416922221tswtne07319781:20000
Lex silt loam, rarely flooded8506184417001591v24vne07920031:12000
Lex-Lute loams, rarely flooded850967151001203c5pne08919811:20000
Lex loam, rarely flooded850264916918631tsj7ne09919821:20000
Lex silt loam, rarely flooded850647622194422dhhxne09919821:20000
Lex loam, saline, rarely flooded851140416918641tsj8ne09919821:20000
Lex loam, rarely flooded8502811716988991v0v6ne10119901:20000
Lex loam, occasionally flooded8503584716992031v150ne11119711:24000
Lex loam, saline-alkali, occasionally flooded8505348316992041v151ne11119711:24000
Lex loam, rarely flooded850239922197332dht9ne11119711:24000
Lex loam, occasionally flooded85031377217096601vd1bne12119781:20000
Lex clay loam, occasionally flooded8501296917096611vd1cne12119781:20000
Lex variant loam, occasionally flooded8508253317096621vd1dne12119781:20000
Lex loam, rarely flooded850289722194702dhjtne13719671:20000
Lex-Platte complex, occasionally flooded851062017110171vfg3ne15320071:12000
Alda-Platte-Lex complex, occasionally flooded84103417109961vfffne15320071:12000
Lex loam, occasionally flooded8503151316914291ts27ne15519951:12000
Lex clay loam, 0 to 2 percent slopesLe2104445585gynqsd02719951:24000

Map of Series Extent

Approximate geographic distribution of the LEX 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 .