Soil Data Explorer - ROTHIEMAY

Official Series Description

Lab Data Summary

Aggregate lab data for the ROTHIEMAY soil series. This aggregation is based on all pedons with a current taxon name of ROTHIEMAY, 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 ROTHIEMAY 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
46	40A3706	S1970MT013005	ROTHIEMAY	7	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	47.594902,-111.8539429
46	40A3707	S1970MT013006	ROTHIEMAY	6	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	47.5849037,-111.8383865

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the ROTHIEMAY 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 ROTHIEMAY 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 ROTHIEMAY 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 ROTHIEMAY 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 flats position figure.

Competing Series

Soil series competing with ROTHIEMAY 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 ROTHIEMAY 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 ROTHIEMAY 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 flats position figure.

Soil series sharing subgroup-level classification with ROTHIEMAY, 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 ROTHIEMAY 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
Rothiemay-Crago complex, 4 to 15 percent slopes	142C	1025	344482	cght	mt065	1996	1:24000
Niart-Rothiemay loams, 1 to 4 percent slopes	598B	921	1717989	1vn8f	mt065	1996	1:24000
Rothiemay loam, calcareous, 2 to 8 percent slopes	142B	42	344481	ckg9	mt065	1996	1:24000
Rothiemay loam, calcareous, 0 to 2 percent slopes	142A	23	344480	ckg8	mt065	1996	1:24000
Rothiemay loam, 0 to 2 percent slopes	166	10299	341830	cgps	mt613	1975	1:24000
Rothiemay-Binna loams, 2 to 4 percent slopes	169	3266	341833	cgpw	mt613	1975	1:24000
Rothiemay loam, wet, 2 to 8 percent slopes	167	1571	341831	cgpt	mt613	1975	1:24000
Rothiemay clay loam, 0 to 2 percent slopes	168	1444	341832	cgpv	mt613	1975	1:24000
Rothiemay-Binna loams, 4 to 10 percent slopes	170	783	341835	cgpy	mt613	1975	1:24000
Rothiemay loam, 2 to 4 percent slopes	33B	1960	144336	4v60	mt621	1997	1:24000
Rothiemay loam, 4 to 8 percent slopes	33C	1220	144337	4v61	mt621	1997	1:24000
Rothiemay loam, 8 to 15 percent slopes	33D	687	144338	4v62	mt621	1997	1:24000
Niart-Rothiemay loams, 0 to 4 percent slopes, fan	490B	8312	1912560	2265h	mt624	2021	1:24000
Rothiemay loam, 0 to 2 percent slopes	484A	2977	1912635	2267x	mt624	2021	1:24000
Rothiemay loam, 2 to 8 percent slopes	484C	2189	1912638	22680	mt624	2021	1:24000
Niart-Rothiemay complex, 4 to 8 percent slopes	812C	2082	2793230	2tkx8	mt624	2021	1:24000
Rothiemay-Crago complex, 4 to 15 percent slopes, fan	491D	1682	347530	cnmn	mt624	2021	1:24000
Niart-Rothiemay complex, 0 to 4 percent slopes	812B	1263	1912556	2265c	mt624	2021	1:24000
Rothiemay-Crago complex, 4 to 15 percent slopes	91D	389	1912508	2263t	mt624	2021	1:24000
Niart-Rothiemay loams, 1 to 4 percent slopes	398B	99	2523238	1vn8g	mt624	2021	1:24000
Rothiemay loam, 2 to 8 percent slopes	821C	323	151519	52nq	mt627	1998	1:24000
Rothiemay very gravelly loam, 2 to 8 percent slopes	82C	39	151520	52nr	mt627	1998	1:24000
Rothiemay silt loam, 2 to 8 percent slopes	136C	1280	147697	4ypf	mt630	1991	1:24000
Varney-Rothiemay complex, cool, 2 to 8 percent slopes	545C	963	148044	4z1m	mt637	2014	1:24000
Rothiemay gravelly loam, cool, 2 to 8 percent slopes	234C	590	1530148	1nc7m	mt637	2014	1:24000
Rothiemay-Varney complex, cool, 2 to 4 percent slopes	177B	245	1529885	1nbz4	mt637	2014	1:24000
Rothiemay-Niart clay loams, 0 to 4 percent slopes	123B	40281	348319	cpg3	mt657	1990	1:24000
Delpoint-Rothiemay clay loams, 2 to 8 percent slopes	676C	21453	348768	cpxl	mt657	1990	1:24000
Rothiemay-Niart gravelly clay loams, 0 to 4 percent slopes	723B	19619	348791	cpyb	mt657	1990	1:24000
Rothiemay clay loam, 0 to 4 percent slopes	23B	19613	348480	cpm9	mt657	1990	1:24000
Varney-Rothiemay clay loams, 0 to 4 percent slopes	124B	15021	348323	cpg7	mt657	1990	1:24000
Rothiemay-Delpoint gravelly clay loams, 2 to 8 percent slopes	623C	14648	348754	cpx4	mt657	1990	1:24000
Rothiemay-Niart gravelly clay loams, 4 to 8 percent slopes	630C	11531	348760	cpxb	mt657	1990	1:24000
Delpoint-Rothiemay clay loams, 8 to 15 percent slopes	676D	11203	348769	cpxm	mt657	1990	1:24000
Rothiemay-Delpoint gravelly clay loams, 8 to 15 percent slopes	623D	10156	348755	cpx5	mt657	1990	1:24000
Rothiemay gravelly clay loam, 0 to 4 percent slopes	523B	9341	348703	cpvh	mt657	1990	1:24000
Rothiemay, calcareous-Niart gravelly clay loams, 0 to 4 percent slopes	630B	5839	348759	cpx9	mt657	1990	1:24000
Rothiemay gravelly clay loam, 4 to 8 percent slopes	523C	3843	348704	cpvj	mt657	1990	1:24000
Varney-Rothiemay gravelly clay loams, 0 to 4 percent slopes	224B	3614	348461	cplp	mt657	1990	1:24000
Rothiemay-Crago complex, 4 to 15 percent slopes	223D	3250	348459	cplm	mt657	1990	1:24000
Niart-Rothiemay loams, 1 to 4 percent slopes	398B	4138	1717569	1vn8g	mt666	2008	1:24000
Niart-Rothiemay loams, 1 to 4 percent slopes	598B	220	1717568	1vn8f	mt666	2008	1:24000
Rothiemay-Crago complex, 4 to 15 percent slopes	142C	167	341645	cght	mt666	2008	1:24000
Kremlin-Rothiemay complex, 0 to 4 percent slopes	4B	2549	156795	584x	mt669		1:24000
Crago, stony-Pensore-Rothiemay complex, 15 to 60 percent slopes	4602F	1261	699020	rgd1	mt669		1:24000
Rothiemay-Notter, very stony-Bronec, extremely stony complex, 4 to 30 percent slopes	151	12965	1861281	20gtb	wy041		1:24000

Map of Series Extent

Approximate geographic distribution of the ROTHIEMAY 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).