Soil Data Explorer - PITS, SAND AND GRAVEL

Official Series Description

Lab Data Summary

Aggregate lab data for the PITS, SAND AND GRAVEL soil series. This aggregation is based on all pedons with a current taxon name of PITS, SAND AND GRAVEL, 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 PITS, SAND AND GRAVEL 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 PITS, SAND AND GRAVEL 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 PITS, SAND AND GRAVEL 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).

There are insufficient data to create the sibling sketch figure.

Select annual climate data summaries for the PITS, SAND AND GRAVEL 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).

There are insufficient data to create the annual climate figure.

Geomorphic description summaries for the PITS, SAND AND GRAVEL 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 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 PITS, SAND AND GRAVEL 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).

There are insufficient data to create the competing sketch figure.

Select annual climate data summaries for the PITS, SAND AND GRAVEL 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 PITS, SAND AND GRAVEL 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 PITS, SAND AND GRAVEL, 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).

This figure is not available.

Block Diagrams

No block diagrams are available.

Map Units

Map units containing PITS, SAND AND GRAVEL 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
Pits, sand and gravel	5010	54	402466	fhss	ia005	1992	1:15840
Pits, gravel	5010	675	2550273	fjdr	ia015	1977	1:15840
Pits, gravel	5010	402	403481	fjvj	ia025	1979	1:15840
Pits, sand and gravel	5010	709	405575	fm12	ia063	1989	1:15840
Pits, gravel	5010	734	406235	fmqc	ia073	1983	1:15840
Pits, sand and gravel	5010	231	406486	fmzg	ia079	1984	1:15840
Pits, sand and gravel	5010	691	406556	fn1q	ia081	1987	1:15840
Pits, gravel	5010	389	447621	h0sd	ia091	1998	1:12000
Pits, sand and gravel	5010	181	407531	fp25	ia097	1988	1:15840
Pits, gravel	5010	791	408379	fpyj	ia109	1980	1:15840
Pits, Sand, and Gravel	5010	555	1723352	1vv90	ia147	1973	1:15840
Pits, gravel	5010	325	410400	fs1q	ia151	1982	1:15840
Pits, gravel	5010	303	411321	ft0f	ia169	1981	1:15840
Pits, sand and gravel	5010	883	797970	vsbz	ia187	2006	1:12000
Pits, sand and gravel	5010	185	412311	fv1c	ia189	1984	1:15840
Pits, sand and gravel	5010	695	412688	fvfj	ia197	1988	1:15840
Pits, sand and gravel	Ppu	220	200892	6r1d	in005	2002	1:12000
Pits, sand and gravel	Ppu	286	695316	rbjk	in011	2003	1:12000
Pits, sand and gravel	Ppu	357	201321	6rh7	in019	2001	1:12000
Pits, gravel	Pg	195	1600670	1qqmj	in029	1979	1:15840
Pits, sand and gravel	Ppu	95	185101	66m0	in043	2000	1:12000
Pits, sand and gravel	Ppu	132	778441	v410	in061	2007	1:12000
Pits, sand	Ppu	91	1907655	22128	in071	1985	1:15840
Pits, gravel	Pg	48	1600562	1qqj1	in115	1979	1:15840
Pits, sand and gravel	Ppu	55	1697621	1tzhz	in129	1978	1:15840
Pits, sand and gravel	Pg	1087	285613	9l6b	me617	2004	1:24000
Pits, sand and gravel	64	440	415005	fxv8	mi013	1984	1:20000
Pits, sand and gravel	33	1618	415140	fxzm	mi033	1989	1:15840
Pits, sand and gravel	522	689	1607208	1qyff	mi053	2007	1:24000
Pits, sand and gravel	45	371	416131	fz0l	mi061	1989	1:20000
Pits, sand and gravel	54	638	415964	fyv6	mi071	1992	1:20000
Pits, sand and gravel	149	747	1456585	1kwpm	mi131	2007	1:24000
Pits, sand and gravel	Ps	493	290273	9r1n	ny021	1985	1:15840
Pits, sand and gravel	Pd	792	296106	9y3t	ny031	2007	1:24000
Pits, sand and gravel	Pv	543	294416	9wc9	ny091	1993	1:24000
Pits, sand and gravel	Pg	527	295913	9xxl	ny113	1982	1:15840

Map of Series Extent

Approximate geographic distribution of the PITS, SAND AND GRAVEL 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).