Soil Data Explorer - MADSHEEP

Official Series Description

Lab Data Summary

Aggregate lab data for the MADSHEEP soil series. This aggregation is based on all pedons with a current taxon name of MADSHEEP, 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 MADSHEEP were used in the calculation. Source: KSSL snapshot (updated 2020-03-18). 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 MADSHEEP 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 MADSHEEP 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 MADSHEEP 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 MADSHEEP 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 terrace figure.

There are insufficient data to create the 3D flats position figure.

Competing Series

Soil series competing with MADSHEEP 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 MADSHEEP 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 MADSHEEP 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 terrace figure.

There are insufficient data to create the 3D flats position figure.

Soil series sharing subgroup-level classification with MADSHEEP, 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 MADSHEEP 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
Kinzua-Madsheep channery silt loams, 25 to 65 percent slopes, extremely stony	KmF	7731	2999049	2x4x7	pa105	1953	1:24000
Kinzua-Madsheep channery silt loams, 15 to 25 percent slopes, extremely stony	KmD	1148	2999048	2x4x6	pa105	1953	1:24000
Paddyknob-Madsheep complex, 15 to 35 percent slopes, very stony	48D	899	1451487	1kqd5	va017	2005	1:24000
Paddyknob-Madsheep complex, 35 to 55 percent slopes, very stony	48E	581	1451488	1kqd6	va017	2005	1:24000
Paddyknob-Madsheep complex, 8 to 15 percent slopes, very stony	48C	288	1451486	1kqd4	va017	2005	1:24000
Paddyknob-Madsheep complex, 35 to 55 percent slopes, very stony	44F	6416	2512093	2q9jb	va091	2010	1:24000
Paddyknob-Madsheep complex, 15 to 35 percent slopes, very stony	44E	6081	2512092	2q9j9	va091	2010	1:24000
Madsheep channery loam, 55 to 80 percent slopes, very stony	32G	2392	2512071	2q9hm	va091	2010	1:24000
Paddyknob-Madsheep complex, 8 to 15 percent slopes, very stony	44C	1807	2512094	2q9jc	va091	2010	1:24000
Madsheep channery silt loam, 35 to 55 percent slopes, very stony	31E	763	522166	kjc2	va185	1996	1:24000
Madsheep channery silt loam, 15 to 35 percent slopes	30D	70	522157	kjbs	va185	1996	1:24000
Madsheep channery silt loam, 7 to 15 percent slopes	30C	11	522156	kjbr	va185	1996	1:24000
Madsheep channery silt loam, 15 to 35 percent slopes, very stony	263D	343	2556890	2r7f1	va606		1:24000
Madsheep channery silt loam, 35 to 60 percent slopes, very stony	263E	91	2556891	2r7f2	va606		1:24000
Madsheep channery silt loam, 3 to 15 percent slopes, very stony	263C	28	2556889	2r7f0	va606		1:24000
Paddyknob-Madsheep complex, 35 to 55 percent slopes, very stony	PamF	6555	2736245	2q9jb	wv075	1992	1:24000
Paddyknob-Madsheep complex, 15 to 35 percent slopes, very stony	PamE	2874	2736247	2q9j9	wv075	1992	1:24000
Paddyknob-Madsheep complex, 8 to 15 percent slopes, very stony	PamC	1000	2736246	2q9jc	wv075	1992	1:24000
Madsheep channery loam, 55 to 80 percent slopes, very stony	MdsG	719	2736237	2q9hm	wv075	1992	1:24000
Ceres-Madsheep channery silt loams, moist, 3 to 15 percent slopes, rubbly	CdCf	2016	3259238	2zl25	wv602	1965	1:20000
Ceres-Madsheep silt loams, moist, 3 to 8 percent slopes, very stony	CmBf	535	3259234	2zl23	wv602	1965	1:20000
Ceres-Madsheep silt loams, moist, 8 to 15 percent slopes, very stony	CmCf	478	3259235	2zl21	wv602	1965	1:20000

Map of Series Extent

Approximate geographic distribution of the MADSHEEP 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).