Soil Data Explorer - NIOTA

Official Series Description

Lab Data Summary

Aggregate lab data for the NIOTA soil series. This aggregation is based on all pedons with a current taxon name of NIOTA, 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 NIOTA 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
108B	77IL073017	1977IL073017	Niota	1	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	41.482594,-90.0848681
115C	84IL131016	1984IL131016	Niota	2	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	41.135875,-90.8230528

Water Balance

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

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

Competing Series

Soil series competing with NIOTA 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 NIOTA 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).

There are insufficient data to create the annual climate figure.

Geomorphic description summaries for the NIOTA 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 2D hillslope position figure.

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 NIOTA, 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. IL-2011-08-04-25 | Henry County - 1984

   Pattern of soils in the Niota-Coyne-Denrock association (Soil Survey of Henry County, Illinois; 1984).

Map Units

Map units containing NIOTA 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
Niota variant silty clay loam, 0 to 3 percent slopes	950	171	405292	flqy	ia057	1980	1:15840
Niota variant silty clay loam, 7 to 14 percent slopes	950D	104	405293	flqz	ia057	1980	1:15840
Niota silty clay loam, 0 to 2 percent slopes	950	518	408521	fq33	ia111	1976	1:15840
Niota silty clay loam, 7 to 14 percent slopes, moderately eroded	950D2	237	408523	fq35	ia111	1976	1:15840
Niota silty clay loam, 2 to 5 percent slopes	950B	215	408522	fq34	ia111	1976	1:15840
Niota silt loam, 0 to 2 percent slopes	950	329	411090	fsrz	ia163	1989	1:15840
Niota silt loam, 2 to 5 percent slopes	950B	245	411091	fss0	ia163	1989	1:15840
Niota silt loam, 0 to 2 percent slopes	261A	720	796476	vqss	il015	2005	1:12000
Niota silt loam, 0 to 2 percent slopes	261A	114	201273	6rfp	il071	2005	1:12000
Niota silt loam, 0 to 2 percent slopes	261A	3375	244679	86lw	il073	2001	1:12000
Niota silt loam, 0 to 2 percent slopes	261A	448	1949632	23frc	il085	1990	1:12000
Niota silt loam, 0 to 2 percent slopes	261A	1636	244973	86xc	il131	2000	1:12000
Niota silt loam, 0 to 2 percent slopes	261A	1168	198772	6nv0	il161	2002	1:12000
Niota silt loam, 0 to 2 percent slopes	261A	968	793047	vm75	il195	2003	1:12000

Map of Series Extent

Approximate geographic distribution of the NIOTA 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).