Soil Data Explorer - LORETTO

Official Series Description

Lab Data Summary

Aggregate lab data for the LORETTO soil series. This aggregation is based on all pedons with a current taxon name of LORETTO, 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 LORETTO were used in the calculation. Source: KSSL snapshot (updated 2020-03-18). Methods used to assemble the KSSL snapshot used by SoilWeb / SDE

Pedons used in the lab summary:

MLRA	Lab ID	Pedon ID	Taxonname	CI	NSSL / NASIS Reports	Link To SoilWeb GMap
102C	04N0863	S2004NE119004	Loretto	6	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	41.9464149,-97.6348648
71	40A2130	S1977NE121127	Loretto	5	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	41.1597252,-98.2692566

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the LORETTO 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 LORETTO series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot (updated 2024-02-21), parsed OSD records (updated 2023-10-06) and snapshot of SC database (updated 2023-10-02).

Select annual climate data summaries for the LORETTO 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 LORETTO 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.

Competing Series

Soil series competing with LORETTO share the same family level classification in Soil Taxonomy. Source: parsed OSD records (updated 2023-10-06) and snapshot of the SC database (updated 2023-10-02).

Select annual climate data summaries for the LORETTO 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 LORETTO 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 mountains figure.

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

Soil series sharing subgroup-level classification with LORETTO, 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 LORETTO 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
Loretto sandy loam, 0 to 3 percent slopes	6798	10409	426966	gb93	ne003	1975	1:20000
Loretto loam, 0 to 2 percent slopes	6791	4932	426968	gb95	ne003	1975	1:20000
Loretto loam, 2 to 6 percent slopes	6792	3453	426969	gb96	ne003	1975	1:20000
Loretto sandy loam, 3 to 6 percent slopes	6799	983	426967	gb94	ne003	1975	1:20000
Loretto fine sandy loam, 0 to 2 percent slopes	6533	42	2215957	2zp2z	ne003	1975	1:20000
Loretto fine sandy loam, 2 to 6 percent slopes	6790	18	2215978	2dcx5	ne003	1975	1:20000
Loretto loam, 3 to 6 percent slopes, eroded	6793	3275	427045	gbcn	ne011	1966	1:20000
Loretto fine sandy loam, 0 to 2 percent slopes	6533	1478	427051	2zp2z	ne011	1966	1:20000
Loretto fine sandy loam, 3 to 6 percent slopes, eroded	6796	1351	427052	gbcw	ne011	1966	1:20000
Loretto-Nora fine sandy loams, 6 to 12 percent slopes, eroded	6800	620	427046	gbcp	ne011	1966	1:20000
Loretto sandy loam, 3 to 6 percent slopes	6799	91	2216642	2ddll	ne011	1966	1:20000
Loretto loam, sand substratum, 6 to 11 percent slopes	6797	15525	427113	gbfv	ne027	1982	1:20000
Loretto loam, sand substratum, 2 to 6 percent slopes	6794	12777	427112	gbft	ne027	1982	1:20000
Thurman-Loretto complex, 2 to 6 percent slopes	6736	6072	427136	gbgl	ne027	1982	1:20000
Talmo-Loretto complex, 3 to 11 percent slopes	6830	3215	427135	gbgk	ne027	1982	1:20000
Loretto fine sandy loam, 2 to 6 percent slopes	6790	1095	2216991	2ddyv	ne039	1973	1:20000
Loretto fine sandy loam, 0 to 2 percent slopes	6533	189	2217070	2zp2z	ne051	1975	1:20000
Loretto loam, sand substratum, 6 to 11 percent slopes	6797	117	2217064	2df16	ne051	1975	1:20000
Thurman-Loretto complex, 2 to 6 percent slopes	6736	21	2217058	2df10	ne051	1975	1:20000
Loretto loam, 2 to 6 percent slopes	6792	828	100123	3c5s	ne089	1981	1:20000
Loretto loam, 0 to 2 percent slopes	6791	35	2219619	2dhpm	ne089	1981	1:20000
Loretto complex, 0 to 6 percent slopes	6532	2773	99725	3bry	ne093	1968	1:12000
Loretto fine sandy loam, 0 to 2 percent slopes	6533	189	2228923	2zp2z	ne093	1968	1:12000
Loretto-Valentine complex, 3 to 11 percent slopes	6536	111	2228924	2dtcs	ne093	1968	1:12000
Loretto fine sandy loam, 2 to 6 percent slopes	6790	1782	1144257	17dpj	ne107	1989	1:20000
Loretto fine sandy loam, 0 to 2 percent slopes	6533	780	1144256	2zp2z	ne107	1989	1:20000
Loretto loam, 2 to 6 percent slopes	6792	5790	427417	gbrn	ne119	1981	1:20000
Loretto fine sandy loam, 2 to 6 percent slopes	6790	3718	427415	gbrl	ne119	1981	1:20000
Loretto fine sandy loam, 0 to 2 percent slopes	6533	1516	427414	2zp2z	ne119	1981	1:20000
Loretto loam, 0 to 2 percent slopes	6791	1354	427416	gbrm	ne119	1981	1:20000
Loretto fine sandy loam, 0 to 2 percent slopes	6533	3996	1709665	2zp2z	ne121	1978	1:20000
Loretto-Valentine complex, 3 to 11 percent slopes	6536	2508	1709666	1vd1j	ne121	1978	1:20000
Loretto-Thurman complex, 1 to 3 percent slopes	6815	1176	427486	gbtw	ne125	1958	1:20000
Loretto-Thurman complex, 3 to 6 percent slopes	6816	933	427487	gbtx	ne125	1958	1:20000
Loretto-Rusco variant fine sandy loams, 0 to 2 percent slopes	6817	232	427449	gbsp	ne125	1958	1:20000
Boelus-Loretto complex, 2 to 6 percent slopes	6647	8865	427547	gbwv	ne139	1970	1:20000
Boelus-Loretto complex, 0 to 2 percent slopes	6646	8044	427546	gbwt	ne139	1970	1:20000
Loretto loam, 2 to 6 percent slopes	6792	2593	427580	gbxx	ne139	1970	1:20000
Loretto fine sandy loam, terrace, 0 to 2 percent slopes	6535	1798	427578	gbxv	ne139	1970	1:20000
Loretto loam, 0 to 2 percent slopes	6791	1583	427579	gbxw	ne139	1970	1:20000
Loretto fine sandy loam, 0 to 2 percent slopes	6533	303	2217143	2zp2z	ne139	1970	1:20000
Loretto sandy loam, 0 to 3 percent slopes	6798	5	2217185	2df53	ne139	1970	1:20000
Loretto fine sandy loam, 2 to 6 percent slopes	6790	1684	426839	gb50	ne167	1980	1:20000
Loretto loam, 2 to 6 percent slopes	6792	1445	426840	gb51	ne167	1980	1:20000
Loretto fine sandy loam, 0 to 2 percent slopes	6533	662	426838	2zp2z	ne167	1980	1:20000
Loretto fine sandy loam, 0 to 2 percent slopes	6533	130	426789	2zp2z	ne179	1970	1:20000
Loretto loam, 0 to 2 percent slopes	6791	1691	1699850	1v1tw	ne183	1984	1:20000

Map of Series Extent

Approximate geographic distribution of the LORETTO 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).