Soil Data Explorer - MORA

Official Series Description

Lab Data Summary

Aggregate lab data for the MORA soil series. This aggregation is based on all pedons with a current taxon name of MORA, 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 MORA 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
90A	UMN1087	S1970MN0171087	Mora	3	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	46.4762268,-92.9592972
90A	UMN3273	S1980MN097019	Mora	3	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	46.0303802,-94.0813217
90A	UMN3495	S1981MN097033	Mora	3	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	45.8397789,-93.9617081
90A	97P0264	S1996MN065036	Mora	6	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	45.9502792,-93.4738922
90A	02N0355	S2001WI031012	Mora	7	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	46.3119087,-91.9862289
90A	02N0357	S2001WI031023	mora	6	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	46.3123093,-91.9862747
90B	UMN3514	S1981MN097036	Mora	2	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	45.8889999,-94.0018005
91B	UMN1380	S1967MN0031380	Mora	3	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	45.3776131,-93.4909058
n/a	40A1733	63MN009001	Mora	7	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	n/a
n/a	40A1734	63MN009002	Mora	7	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	n/a

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the MORA 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 MORA 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 MORA 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 MORA 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 MORA 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 MORA 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 MORA 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.

Soil series sharing subgroup-level classification with MORA, 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 MORA 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
Mora-Ronneby complex, 1 to 4 percent slopes, stony	C9B	74685	3182494	2z19y	mn001	1996	1:20000
Milaca-Mora complex, 1 to 7 percent slopes, stony	C71C	20737	3182478	2z19x	mn001	1996	1:20000
Mora fine sandy loam, 1 to 4 percent slopes	164B	71	432862	gjf9	mn001	1996	1:20000
Mora fine sandy loam, 1 to 4 percent slopes	MoA	631	395954	f90q	mn003	1972	1:15840
Mora-Ronneby complex, 1 to 4 percent slopes, stony	C9B	35847	3182498	2z19y	mn009	2007	1:12000
Milaca-Mora complex, 1 to 7 percent slopes, stony	C71C	5567	3182482	2z19x	mn009	2007	1:12000
Mora fine sandy loam, 1 to 3 percent slopes, stony	C64A	165	789661	vhpy	mn009	2007	1:12000
Mora fine sandy loam, 3 to 5 percent slopes, stony	C64B	63	728701	sg8h	mn009	2007	1:12000
Mora loam, 1 to 3 percent slopes, stony	C73A	58	802985	vykr	mn009	2007	1:12000
Mora fine sandy loam, wet	V166	20656	396389	f9gr	mn017	1973	1:20000
Mora-Ronneby complex, 1 to 4 percent slopes, stony	C9B	8223	3182495	2z19y	mn017	1973	1:20000
Milaca-Mora complex, 1 to 7 percent slopes, stony	C71C	2634	3182479	2z19x	mn017	1973	1:20000
Mora loam, very stony	1977	1394	396555	f9n3	mn025	1990	1:15840
Mora-Ronneby complex, 1 to 4 percent slopes, stony	C9B	35718	3182500	2z19y	mn065	2006	1:12000
Milaca-Mora complex, 1 to 7 percent slopes, stony	C71C	7268	3182484	2z19x	mn065	2006	1:12000
Mora, stony-Chetek complex, 2 to 6 percent slopes	C130B	96	1673554	1t5gm	mn065	2006	1:12000
Milaca, stony-Mora, stony-Cathro complex, pitted, 0 to 8 percent slopes	C123B	68	1673549	1t5gg	mn065	2006	1:12000
Mora, stony-Brennyville, stony-Cathro complex, pitted, 0 to 6 percent slopes	C116B	21	1673542	1t5g7	mn065	2006	1:12000
Mora fine sandy loam, 3 to 6 percent slopes, stony	C3B	7	1673443	1t5c1	mn065	2006	1:12000
Mora-Ronneby complex, 1 to 4 percent slopes, stony	C9B	16297	3182501	2z19y	mn095	2006	1:12000
Milaca-Mora complex, 1 to 7 percent slopes, stony	C71C	1794	3182485	2z19x	mn095	2006	1:12000
Mora, stony-Chetek complex, 2 to 6 percent slopes	C130B	30	1676455	1t8h6	mn095	2006	1:12000
Milaca, stony-Mora, stony-Cathro complex, pitted, 0 to 8 percent slopes	C123B	2	1676450	1t8h1	mn095	2006	1:12000
Mora-Ronneby complex, 1 to 4 percent slopes, stony	C9B	47283	3182496	2z19y	mn097	1987	1:20000
Milaca-Mora complex, 1 to 7 percent slopes, stony	C71C	3875	3182480	2z19x	mn097	1987	1:20000
Mora fine sandy loam, 1 to 4 percent slopes	164B	270	400352	ffll	mn097	1987	1:20000
Mora-Ronneby complex, 1 to 4 percent slopes, stony	C9B	79761	3182499	2z19y	mn115	2009	1:24000
Millward-Mora-Scott Lake complex, 2 to 20 percent slopes, stony	C22D	75427	3314089	308xd	mn115	2009	1:24000
Milaca-Mora complex, 1 to 7 percent slopes, stony	C71C	14462	3182483	2z19x	mn115	2009	1:24000
Milaca-Mora-Greysolon complex, 2 to 20 percent slopes, stony	C11D	5142	3314090	308xf	mn115	2009	1:24000
Mora-Ronneby complex, 1 to 4 percent slopes, stony	C9B	1649	3182497	2z19y	mn141	1994	1:15840
Milaca-Mora complex, 1 to 7 percent slopes, stony	C71C	289	3182481	2z19x	mn141	1994	1:15840
Mora loam, 0 to 3 percent slopes	164A	202	431461	ggz3	mn141	1994	1:15840
Mora-Ronneby complex, 1 to 4 percent slopes, stony	C9B	1479	3314110	2z19y	wi013	2004	1:12000
Mora sandy loam, 0 to 4 percent slopes, very stony	812B	488	656113	q0qy	wi013	2004	1:12000
Milaca-Mora-Greysolon complex, 2 to 20 percent slopes, stony	C11D	355	3314105	308xf	wi013	2004	1:12000
Millward-Mora-Scott Lake complex, 2 to 20 percent slopes, stony	C22D	140	3314104	308xd	wi013	2004	1:12000
Milaca-Mora complex, 1 to 7 percent slopes, stony	C71C	35	3314114	2z19x	wi013	2004	1:12000
Milaca-Mora-Greysolon complex, 2 to 20 percent slopes, stony	C11D	29060	3314117	308xf	wi031	2005	1:12000
Mora-Ronneby complex, 1 to 4 percent slopes, stony	C9B	3491	3314123	2z19y	wi031	2005	1:12000
Milaca-Mora complex, 1 to 7 percent slopes, stony	C71C	2811	3314127	2z19x	wi031	2005	1:12000
Milaca-Mora-Giese complex, 0 to 15 percent slopes, very stony	1053C	2694	781548	v787	wi031	2005	1:12000
Mora sandy loam, 0 to 4 percent slopes, very stony	812B	451	781487	v768	wi031	2005	1:12000
Millward-Mora-Scott Lake complex, 2 to 20 percent slopes, stony	C22D	326	3314116	308xd	wi031	2005	1:12000
Mora silt loam, 0 to 3 percent slopes, very stony	715A	118	781448	v750	wi031	2005	1:12000
Milaca-Mora-Haustrup complex, 0 to 15 percent slopes, very stony, rocky	928C	85	1482691	1lrvr	wi031	2005	1:12000

Map of Series Extent

Approximate geographic distribution of the MORA 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).