Official Series Description


Lab Data Summary

Aggregate lab data for the LEVAC soil series. This aggregation is based on all pedons with a current taxon name of LEVAC, 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 LEVAC 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
150A11N0449S10TX0714802Levac7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties29.6996117,-94.5920258
150A12N7958S2012TX2911014Levac8Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties29.9759167,-94.5169167
150A12N7964S2012TX2911020Levac8Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties29.9633889,-94.4850056
150B12N7640S12TX2451003Levac7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties29.8302111,-94.1578111

Water Balance

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

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.

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Competing Series

Soil series competing with LEVAC 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 LEVAC 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 LEVAC 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.

Click the image to view it full size.

Soil series sharing subgroup-level classification with LEVAC, 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-2010-11-03-27 | Hardin County - 2006

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

Map Units

Map units containing LEVAC 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
Meaton-Levac complex, 0 to 1 percent slopes, rarely floodedMelA1422427607012thnztx07119691:24000
Labelle-Levac complex, 0 to 1 percent slopesLalA1373227607272thnmtx07119691:24000
Labelle-Levac complex, 0 to 1 percent slopes, rarely floodedLamA1208827607372thnntx07119691:24000
Morey-Levac complex, 0 to 1 percent slopesMorA1013727607032thp3tx07119691:24000
Aris-Levac complex, 0 to 1 percent slopesArsA87727606902thn1tx07119691:24000
Aris-Levac complex, 0 to 1 percent slopesArsA633427607592thn1tx19919981:24000
Labelle-Levac complex, 0 to 1 percent slopesLalA232027607782thnmtx19919981:24000
Labelle-Levac complex, 0 to 1 percent slopesLalA289328882352thnmtx20119731:20000
Labelle-Levac complex, 0 to 1 percent slopesLalA2604628883112thnmtx29119861:24000
Morey-Levac complex, 0 to 1 percent slopesMorA814628882572thp3tx29119861:24000
Aris-Levac complex, 0 to 1 percent slopesArsA713428882492thn1tx29119861:24000
Labelle-Levac complex, 0 to 1 percent slopesLalA3087228885202thnmtx62319961:24000
Meaton-Levac complex, 0 to 1 percent slopes, rarely floodedMelA2153728884932thnztx62319961:24000
Morey-Levac complex, 0 to 1 percent slopesMorA1450528884952thp3tx62319961:24000
Labelle-Levac complex, 0 to 1 percent slopes, rarely floodedLamA1356528885312thnntx62319961:24000
Aris-Levac complex, 0 to 1 percent slopesArsA162628884822thn1tx62319961:24000

Map of Series Extent

Approximate geographic distribution of the LEVAC 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 .