Soil Data Explorer - RASALO

Official Series Description

Lab Data Summary

Aggregate lab data for the RASALO soil series. This aggregation is based on all pedons with a current taxon name of RASALO, 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 RASALO 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 RASALO 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 RASALO series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot (updated 2024-02-21), parsed OSD records (updated 2023-10-02) and snapshot of SC database (updated 2023-10-02).

Select annual climate data summaries for the RASALO 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 2023-10-09).

Geomorphic description summaries for the RASALO 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 2023-10-04).

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.

Competing Series

Soil series competing with RASALO share the same family level classification in Soil Taxonomy. Source: parsed OSD records (updated 2023-10-02) and snapshot of the SC database (updated 2023-10-02).

Select annual climate data summaries for the RASALO 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 2023-10-09).

Geomorphic description summaries for the RASALO 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 2023-10-04).

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 RASALO, 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 2023-10-02).

Block Diagrams

No block diagrams are available.

Map Units

Map units containing RASALO 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
Rasalo-Enott complex, 15 to 25 percent slopes	ReD	20059	2973930	2wx2m	nc033	2016	1:24000
Rasalo-Enott complex, 8 to 15 percent slopes	ReC	11939	2973932	2wx2p	nc033	2016	1:24000
Rasalo-Enott complex, 2 to 8 percent slopes	ReB	6120	2973931	2wx2n	nc033	2016	1:24000
Rasalo-Zion complex, 2 to 6 percent slopes	RaB	74	2431326	2mlzw	nc035	1969	1:15840
Rasalo fine sandy loam, 2 to 8 percent slopes	RaB	12508	2424554	2mcyf	nc059	1988	1:24000
Rasalo fine sandy loam, 8 to 15 percent slopes	RaC	1285	2424555	2mcyg	nc059	1988	1:24000
Rasalo fine sandy loam, 2 to 15 percent slopes, very stony	RcC	358	2424556	2mcyh	nc059	1988	1:24000
Rasalo fine sandy loam, 6 to 10 percent slopes	RaC	2510	2433523	2mp8r	nc067	1970	1:15840
Rasalo fine sandy loam, 10 to 15 percent slopes	RaD	1760	2433524	2mp8s	nc067	1970	1:15840
Rasalo fine sandy loam, 2 to 6 percent slopes	RaB	767	2433520	2mp8n	nc067	1970	1:15840
Rasalo fine sandy loam, 2 to 6 percent slopes	RaB	357	2433098	2mnv1	nc081	1975	1:20000
Rasalo fine sandy loam, 6 to 10 percent slopes	RaC	291	2433100	2mnv3	nc081	1975	1:20000
Rasalo fine sandy loam, 10 to 15 percent slopes	RaD	155	2433102	2mnv5	nc081	1975	1:20000
Rasalo clay loam, 6 to 10 percent slopes, moderately eroded	RsC2	26	2433113	2mnvj	nc081	1975	1:20000
Rasalo clay loam, 10 to 15 percent slopes, moderately eroded	RsD2	24	2433012	2mnr8	nc081	1975	1:20000
Rasalo-Udorthents complex, 6 to 15 percent slopes, gullied	RuD4	12	2433109	2mnvd	nc081	1975	1:20000
Rasalo-Zion complex, 6 to 10 percent slopes	RaC	29	2424683	2md2l	nc097	2011	1:12000
Rasalo-Zion complex, 2 to 6 percent slopes	RaB	19	2424682	2md2k	nc097	2011	1:12000
Rasalo fine sandy loam, 2 to 6 percent slopes	RaB	3879	2439288	2mw8q	nc145	1987	1:24000
Rasalo fine sandy loam, 6 to 10 percent slopes	RaC	1696	2439289	2mw8r	nc145	1987	1:24000
Rasalo-Halifax complex, 2 to 7 percent slopes	33B	794	1587441	1q8vs	va049	2005	1:24000
Rasalo-Halifax complex, 7 to 15 percent slopes	33C	458	1587442	1q8vt	va049	2005	1:24000
Rasalo-Spriggs complex, 15 to 45 percent slopes, very stony	34E	383	1587443	1q8vv	va049	2005	1:24000
Spriggs-Rasalo complex, 8 to 15 percent slopes	43C	26631	1472850	1lfm9	va083	2004	1:24000
Rasalo-Orange complex, 2 to 8 percent slopes	40B	12055	1472844	1lfm3	va083	2004	1:24000
Spriggs-Rasalo complex, 15 to 25 percent slopes	43D	9320	1472851	1lfmb	va083	2004	1:24000
Spriggs-Rasalo complex, 2 to 8 percent slopes	43B	2526	1472849	1lfm8	va083	2004	1:24000

Map of Series Extent

Approximate geographic distribution of the RASALO 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 2023-10-04).