Soil Data Explorer - SINAI

Official Series Description

Lab Data Summary

Aggregate lab data for the SINAI soil series. This aggregation is based on all pedons with a current taxon name of SINAI, 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 SINAI were used in the calculation. Source: KSSL snapshot (updated 2020-03-13). 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
53B	91P0207	90ND105264	Sinai	6	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	48.6199607849121,-103.169212341309
55A	40A0038	1951ND009008	Sinai	6	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	48.8211111,-100.7397222

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the SINAI 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 SINAI 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 SINAI 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 SINAI 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 SINAI 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 SINAI 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 SINAI 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 SINAI, 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

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

1. SD-2012-03-15-18 | Day County - August 1997

   Typical pattern of soils and underlying material in the Nutley-Sinai and Poinsett-Waubay-Forman associations (Soil Survey of Day County, SD; 1997).

2. SD-2012-03-15-68 | Lake County - December 1973

   Relationship of soils to topography and the underlying materials in the Egan-Wentworth association (Soil Survey of Lake County, SD; 1973).

Map Units

Map units containing SINAI 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
Sinai silty clay, levees, 0 to 6 percent slopes	I475B	314	2798105	2pg9f	mn027	1980	1:20000
Sinai clay, 2 to 6 percent slopes	SlB	8921	397321	fbft	mn041	1970	1:12000
Sinai clay, 0 to 2 percent slopes	SlA	835	397320	fbfs	mn041	1970	1:12000
Sinai silty clay, 1 to 6 percent slopes	212B	672	398026	fc5k	mn051	1974	1:20000
Sinai silty clay, 6 to 12 percent slopes	212C	300	398027	fc5l	mn051	1974	1:20000
Sinai-Ludden, flooded, clays, very-fine family, 0 to 6 percent slopes	I137B	2455	2798882	21x2v	mn069	2007	1:12000
Sinai silty clay loam, 1 to 3 percent slopes	212A	2036	430271	gfqq	mn073	1994	1:20000
Sinai silty clay, 3 to 6 percent slopes	212B	976	430272	gfqr	mn073	1994	1:20000
Sinai silty clay, 1 to 3 percent slopes	212	8	1859027	20dgm	mn083	2008	1:12000
Sinai silty clay, levees, 0 to 6 percent slopes	I475B	810	2799007	2pg9f	mn089	1994	1:20000
Sinai silty clay, levees, 0 to 6 percent slopes	I475B	555	2799086	2pg9f	mn107	1970	1:20000
Sinai silty clay, levees, 0 to 6 percent slopes	I475B	1039	2799710	2pg9f	mn119	1996	1:20000
Sinai silty clay, 2 to 6 percent slopes	J10B	243	434775	glf0	mn151	2000	1:12000
Sinai silty clay, 0 to 2 percent slopes	J10A	202	434774	gldz	mn151	2000	1:12000
Sinai silty clay, levees, 0 to 6 percent slopes	I475B	512	2800431	2pg9f	mn167	1985	1:20000
Sinai silty clay loam, 0 to 2 percent slopes, colluvial	G607A	1084	2573641	2q5sc	nd003	1988	1:20000
Sinai silty clay loam, 2 to 6 percent slopes, colluvial	G607B	579	2573642	2q5sd	nd003	1988	1:20000
Sinai silty clay, levees, 0 to 6 percent slopes	I475B	2002	2640839	2pg9f	nd017	1983	1:20000
Sinai silty clay loam, 0 to 2 percent slopes	G516A	1408	2575348	2q5p7	nd021	1989	1:20000
Sinai silty clay loam, 0 to 2 percent slopes	G516A	16	2577171	2q5p7	nd055	1974	1:20000
Sinai silty clay, wet, 0 to 2 percent slopes	G511A	1734	2577423	2q5p5	nd077	2005	1:12000
Sinai, wet-Harmony silty clay loams, 0 to 2 percent slopes	G515A	655	2577391	2q5p6	nd077	2005	1:12000
Sinai silty clay, 0 to 2 percent slopes	J222A	111	1544946	1nvmz	nd077	2005	1:12000
Sinai-Harmony silty clay loams, 0 to 2 percent slopes	J215A	80	1544945	1nvmy	nd077	2005	1:12000
Sinai, wet-Harmony silty clay loams, 0 to 2 percent slopes	G515A	313	2579436	2q5p6	nd081	1959	1:12000
Sinai silty clay, wet, 0 to 2 percent slopes	G511A	199	2579529	2q5p5	nd081	1959	1:12000
Sinai silty clay loam, 0 to 2 percent slopes	G516A	165	2581388	2q5p7	nd093	1990	1:24000
Sinai silty clay, levees, 0 to 6 percent slopes	I475B	3335	2642493	2pg9f	nd097	1974	1:20000
Sinai silty clay, levees, 0 to 6 percent slopes	I475B	2759	2642926	2pg9f	nd099	1967	1:20000
Sinai silty clay, 0 to 2 percent slopes	SnA	521	417786	g0qz	sd025	1992	1:20000
Sinai silty clay, 2 to 6 percent slopes	SnB	440	417787	g0r0	sd025	1992	1:20000
Nutley-Sinai silty clays, 2 to 6 percent slopes	NsB	5306	417112	g017	sd037	1992	1:20000
Sinai-Nutley silty clays, 0 to 2 percent slopes	SaA	1364	417130	g01t	sd037	1992	1:20000
Sinai silty clay, 0 to 2 percent slopes	SbA	3155	416899	fztc	sd039	1992	1:20000
Sinai silty clay, 2 to 6 percent slopes	SbB	2619	416900	fztd	sd039	1992	1:20000
Nutley-Sinai silty clays, 6 to 12 percent slopes	NsC	1073	416880	fzsr	sd039	1992	1:20000
Sinai silty clay, 0 to 2 percent slopes	SnA	1927	417512	g0g4	sd077	1992	1:20000
Sinai silty clay, 3 to 6 percent slopes	SkB	4992	416607	fzhy	sd091	1970	1:20000
Sinai silty clay, 0 to 3 percent slopes	SkA	2505	416606	fzhx	sd091	1970	1:20000
Sinai silty clay, 6 to 9 percent slopes	SkC	852	416608	fzhz	sd091	1970	1:20000
Sinai silty clay, 0 to 2 percent slopes	SnA	2696	417871	g0tq	sd109	1977	1:20000
Sinai silty clay, 2 to 6 percent slopes	SnB	734	417872	g0tr	sd109	1977	1:20000

Map of Series Extent

Approximate geographic distribution of the SINAI 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).