Soil Data Explorer - RENTZEL

Official Series Description

Lab Data Summary

Aggregate lab data for the RENTZEL soil series. This aggregation is based on all pedons with a current taxon name of RENTZEL, 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 RENTZEL were used in the calculation. Source: KSSL snapshot (updated 2020-03-13). 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 RENTZEL 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.

Sibling Summary

Siblings are those soil series that occur together in map units, in this case with the RENTZEL series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot (updated 2024-10-24), parsed OSD records (updated 2024-10-23) and snapshot of SC database (updated 2024-10-23).

Select annual climate data summaries for the RENTZEL series and siblings. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data (updated 2024-10-23).

Geomorphic description summaries for the RENTZEL 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 (updated 2024-10-23).

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

There are insufficient data to create the 3D flats position figure.

Competing Series

Soil series competing with RENTZEL share the same family level classification in Soil Taxonomy. Source: parsed OSD records (updated 2024-10-23) and snapshot of the SC database (updated 2024-10-23).

Select annual climate data summaries for the RENTZEL series and competing. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data (updated 2024-10-23).

Geomorphic description summaries for the RENTZEL 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 (updated 2024-10-23).

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 RENTZEL, 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 (updated 2024-10-23).

Block Diagrams

Click a link below to display the diagram. Note that these diagrams may be from multiple survey areas.

1. TX-2010-11-03-36 | Houston County - 2002

   Typical pattern of soils and parent material in the Cuthbert-Kirvin-Lilbert general soil map unit (Soil Survey of Houston County, Texas; 2002).

Map Units

Map units containing RENTZEL 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
Rentzel loamy fine sand, 0 to 5 percent slopes	LeC	4994	575156	2tf4f	tx001	1970	1:20000
Rentzel fine sand, 0 to 5 percent slopes	ChC	2404	575125	m9gf	tx001	1970	1:20000
Rentzel loamy fine sand, 0 to 5 percent slopes	RnB	810	575240	2tf4f	tx005	1984	1:24000
Rentzel loamy fine sand, 0 to 5 percent slopes	RnB	13705	575549	2tf4f	tx225	1994	1:24000
Rentzel loamy fine sand	Le	547	575596	m9ym	tx339	1967	1:20000
Rentzel loamy fine sand, 0 to 5 percent slopes	52	9303	575664	2tf4f	tx347	1976	1:24000
Rentzel-Urban land complex, 0 to 4 percent slopes	53	458	575665	mb0v	tx347	1976	1:24000
Rentzel loamy fine sand, 0 to 5 percent slopes	RzB	3246	578244	2tf4f	tx401	1993	1:24000
Rentzel loamy fine sand, 0 to 5 percent slopes	RnB	1236	575779	2tf4f	tx419	2002	1:24000
Rentzel loamy fine sand, 0 to 5 percent slopes	ReB	2099	576161	2tf4f	tx608	1981	1:24000
Rentzel loamy fine sand, 0 to 5 percent slopes	RnB	6844	576489	2tf4f	tx616	2004	1:24000
Rentzel loamy fine sand, 0 to 5 percent slopes	RnB	6413	1894804	2tf4f	tx619	2007	1:24000

Map of Series Extent

Approximate geographic distribution of the RENTZEL 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 (updated 2024-10-30).