Official Series Description


Lab Data Summary

Aggregate lab data for the HATLIFF soil series. This aggregation is based on all pedons with a current taxon name of HATLIFF, 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 HATLIFF 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
150A12N8315S2012TX2017130Hatliff6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties30.0291861,-95.3297472
152B12N8325S2012TX3731025Hatliff7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties30.5775278,-94.6313056

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the HATLIFF 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 HATLIFF 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 HATLIFF 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 HATLIFF 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 hills figure.

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

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Competing Series

Soil series competing with HATLIFF 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 HATLIFF 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 HATLIFF 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.

Click the image to view it full size.

Click the image to view it full size.

Soil series sharing subgroup-level classification with HATLIFF, 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-2012-03-21-29 | Leon County - July 1989

    Pattern of soils and underlying material in the Wolfpen-Pickton-Cuthbert general soil map unit (Soil Survey of Leon County, TX; 1989).

  2. TX-2012-03-21-30 | Leon County - July 1989

    Pattern of soils and underlying material in the Padina-Arenosa general soil map unit (Soil Survey of Leon County, TX; 1989).

  3. TX-2012-03-21-31 | Leon County - July 1989

    Pattern of soils and underlying material in the Crockett-Benchley-Wilson general soil map unit (Soil Survey of Leon County, TX; 1989).

  4. TX-2012-03-21-32 | Leon County - July 1989

    Pattern of soils and underlying material in the Margie-Jedd-Lexton general soil map unit (Soil Survey of Leon County, TX; 1989).

Map Units

Map units containing HATLIFF 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
Nahatche-Hatliff association, frequently floodedNH51810375404dlmttx16119861:24000
Hatliff fine sandy loam, frequently floodedHa5542366779d9nltx18519881:24000
Hatliff-Pluck-Kian complex, 0 to 1 percent slopes, frequently floodedHatA216333796821vykntx19919981:24000
Hatliff-Pluck-Kian complex, 0 to 1 percent slopes, frequently floodedHatA1401427608141vykntx20119731:20000
Hatliff fine sandy loam, frequently floodedHa52129369201dd5qtx28919851:24000
Hatliff-Pluck-Kian complex, 0 to 1 percent slopes, frequently floodedHatA1607628882941vykntx29119861:24000
Hatliff fine sandy loam, frequently floodedHa5049370293df9ytx31319891:24000
Hatliff-Pluck-Kian complex, 0 to 1 percent slopes, frequently floodedHatA1934728883561vykntx33919671:20000
Hatliff-Pluck-Kian complex, 0 to 1 percent slopes, frequently floodedHatA4283514793931vykntx45720071:24000
Hatliff-Pluck-Kian complex, 0 to 1 percent slopes, frequently floodedHatA121431032551vykntx60019811:24000
Hatliff-Pluck-Kian complex, 0 to 1 percent slopes, frequently floodedHatA2567728884061vykntx61119801:20000
Hatliff-Pluck-Kian complex, 0 to 1 percent slopes, frequently floodedHatA13831728884591vykntx61719831:24000
Hatliff-Pluck-Kian complex, 0 to 1 percent slopes, frequently floodedHatA349628885501vykntx62319961:24000

Map of Series Extent

Approximate geographic distribution of the HATLIFF 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 .