Soil Data Explorer - NOTCOM

Official Series Description

Lab Data Summary

Aggregate lab data for the NOTCOM soil series. This aggregation is based on all pedons with a current taxon name of NOTCOM, 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 NOTCOM 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 NOTCOM 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.

There are insufficient data to create the water balance bar figure.

There are insufficient data to create the water balance line figure.

Sibling Summary

Siblings are those soil series that occur together in map units, in this case with the NOTCOM 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).

There are insufficient data to create the sibling sketch figure.

Select annual climate data summaries for the NOTCOM 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).

There are insufficient data to create the annual climate figure.

Geomorphic description summaries for the NOTCOM 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 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.

Competing Series

Soil series competing with NOTCOM 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).

There are insufficient data to create the competing sketch figure.

Select annual climate data summaries for the NOTCOM 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).

There are insufficient data to create the annual climate figure.

Geomorphic description summaries for the NOTCOM 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 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 NOTCOM, 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).

This figure is not available.

Block Diagrams

No block diagrams are available.

Map Units

Map units containing NOTCOM 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
No Digital Data Available	NOTCOM	776061	2515674	NOTCOM	az639	2012	1:24000
No Digital Data Available	NOTCOM	1846666	1483179	NOTCOM	az647		1:125000
No Digital Data Available	NOTCOM	855988	2813630	NOTCOM	az648		1:24000
No Digital Data Available	NOTCOM	2899150	2497591	NOTCOM	az687		1:24000
No Digital Data Available	NOTCOM	2086456	2515651	NOTCOM	az691		1:24000
No Digital Data Available	NOTCOM	828860	1864255	NOTCOM	az693		1:24000
No Digital Data Available	NOTCOM	1091305	2515652	NOTCOM	az723		1:24000
No Digital Data Available	NOTCOM	57871	2407783	NOTCOM	ca601	2011	1:24000
No Digital Data Available	NOTCOM	1272654	2766143	NOTCOM	ca663		1:24000
No Digital Data Available	NOTCOM	924176	1900736	NOTCOM	ca682	2007	1:24000
No Digital Data Available	NOTCOM	4186856	1611291	NOTCOM	ca695		1:24000
No Digital Data Available	NOTCOM	966730	1611293	NOTCOM	ca698		1:24000
No Digital Data Available	NOTCOM	95613	2766849	NOTCOM	ca704		1:24000
No Digital Data Available	NOTCOM	3429494	2766144	NOTCOM	ca793		1:24000
No Digital Data Available	NOTCOM	2721958	1901424	NOTCOM	ca803		1:24000
No Digital Data Available	NOTCOM	1191073	2600446	NOTCOM	ca804		1:24000
No Digital Data Available	NOTCOM	11907	1860765	NOTCOM	ca805		1:24000
No Digital Data Available	NOTCOM	62700	2822432	NOTCOM	co031		1:24000
No Digital Data Available	NOTCOM		3237240	NOTCOM	co657		1:24000
No Digital Data Available	NOTCOM	1316300	3260491	NOTCOM	fl623		1:24000
No Digital Data Available	NOTCOM	41000	3260492	NOTCOM	fl624		1:24000
No Digital Data Available	NOTCOM	8	1949705	NOTCOM	fl687	1989	1:24000
No Digital Data Available	NOTCOM	30692	775686	NOTCOM	ga637	1990	1:20000
No Digital Data Available	NOTCOM	5270	1543165	NOTCOM	ga648	2001	1:12000
No Digital Data Available	NOTCOM	265036	2520901	NOTCOM	id671	1989	1:24000
No Digital Data Available	NOTCOM		2518587	NOTCOM	id700		1:24000
No Digital Data Available	NOTCOM	1464550	2518588	NOTCOM	id701		1:24000
No Digital Data Available	NOTCOM		2518590	NOTCOM	id720		1:24000
No Digital Data Available	NOTCOM	0	2485010	NOTCOM	ky643	1965	1:15840
No Digital Data Available	NOTCOM	251263	2774689	NOTCOM	mn031	2013	1:24000
No Digital Data Available	NOTCOM	249480	2742107	NOTCOM	mn075	2013	1:24000
No Digital Data Available	NOTCOM	525353	2494035	NOTCOM	mn115	2009	1:24000
No Digital Data Available	NOTCOM	607000	2485736	NOTCOM	mt640		1:24000
No Digital Data Available	NOTCOM	509000	2485794	NOTCOM	mt642		1:24000
No Digital Data Available	NOTCOM	768758	2780144	NOTCOM	nh605		1:24000
No Digital Data Available	NOTCOM	3192064	2813634	NOTCOM	nm622		1:24000
No Digital Data Available	NOTCOM	965175	2813631	NOTCOM	nm694		1:24000
No Digital Data Available	NOTCOM	1361123	2813632	NOTCOM	nm696		1:24000
No Digital Data Available	NOTCOM	1951723	2817234	NOTCOM	nv782		1:24000
No Digital Data Available	NOTCOM	577940	2766845	NOTCOM	nv792		1:24000
No Digital Data Available	NOTCOM	3648	3118031	NOTCOM	ny109	1963	1:20000
No Digital Data Available	NOTCOM	9248	3118032	NOTCOM	ny664	1968	1:15840
No Digital Data Available	NOTCOM	533032	2497802	NOTCOM	or603		1:24000
No Digital Data Available	NOTCOM	1208009	2497803	NOTCOM	or605		1:24000
No Digital Data Available	NOTCOM	54770	3120176	NOTCOM	or607	2018	1:24000
No Digital Data Available	NOTCOM	974572	2595838	NOTCOM	or608		1:24000
No Digital Data Available	NOTCOM	787930	2497805	NOTCOM	or622		1:24000
No Digital Data Available	NOTCOM	523890	2683034	NOTCOM	or631	2018	1:24000
No Digital Data Available	NOTCOM	1333928	2479921	NOTCOM	or645		1:24000
No Digital Data Available	NOTCOM	32062	2595840	NOTCOM	or657		1:24000
No Digital Data Available	NOTCOM	1739070	2515113	NOTCOM	or680		1:24000
No Digital Data Available	NOTCOM	1174481	2515112	NOTCOM	or683		1:24000
No Digital Data Available	NOTCOM	5014	2517390	NOTCOM	tn125	1972	1:15840
No Digital Data Available	NOTCOM	10632	2479731	NOTCOM	ut607	1965	1:15840
No Digital Data Available	NOTCOM	361916	2822433	NOTCOM	ut625		1:24000
No Digital Data Available	NOTCOM	814976	2220515	NOTCOM	ut626		1:24000
No Digital Data Available	NOTCOM	37155	2820830	NOTCOM	ut636	1984	1:24000
No Digital Data Available	NOTCOM	515169	3186230	NOTCOM	ut646		1:24000
No Digital Data Available	NOTCOM	126616	2822436	NOTCOM	ut647		1:24000
No Digital Data Available	NOTCOM		2822437	NOTCOM	ut648		1:63000
No Digital Data Available	NOTCOM	553771	2822439	NOTCOM	ut650		1:24000
No Digital Data Available	NOTCOM	5309	3236831	NOTCOM	vt007	1969	1:15840
No Digital Data Available	NOTCOM	326200	2511962	NOTCOM	wa706		1:24000
No Digital Data Available	NOTCOM	107622	3114519	NOTCOM	wa714	2018	1:24000
No Digital Data Available	NOTCOM	1275155	2511987	NOTCOM	wa760		1:24000
No Digital Data Available	NOTCOM	1655695	2511961	NOTCOM	wa762		1:24000
No Digital Data Available	NOTCOM	53759	3403319	NOTCOM	wi079	2023	1:15840
No Digital Data Available	NOTCOM		2523257	NOTCOM	wy603		1:24000
No Digital Data Available	NOTCOM	0	2591830	NOTCOM	wy617		1:24000
No Digital Data Available	NOTCOM	2022916	2450635	NOTCOM	wy630		1:24000
No Digital Data Available	NOTCOM	880682	2809148	NOTCOM	wy661	1985	1:24000
No Digital Data Available	NOTCOM	432938	2499122	NOTCOM	wy723		1:24000
MU 9214	9214	1305	2970261	2t6db	wy723		1:24000
No Digital Data Available	NOTCOM	4790587	2572340	NOTCOM	wy737		1:24000

Map of Series Extent

Approximate geographic distribution of the NOTCOM 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).