Soil Data Explorer - BORROW PITS

Official Series Description

Lab Data Summary

Aggregate lab data for the BORROW PITS soil series. This aggregation is based on all pedons with a current taxon name of BORROW PITS, 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 BORROW PITS 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 BORROW PITS 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 BORROW PITS 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 BORROW PITS 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 BORROW PITS 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 BORROW PITS 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 BORROW PITS 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 BORROW PITS 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 BORROW PITS, 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 BORROW PITS 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
Borrow pits	BP	2948	464003	hktv	ca680	1974	1:24000
Borrow Pits	86	662	1427928	1jxw6	co618	1976	1:24000
Borrow pits	BP	19	512285	k62b	co643	1975	1:20000
Borrow pits	22	89	497321	jphm	co690	1974	1:24000
Borrow Pits	50	2626	1698337	1v082	fl607	1970	1:20000
Pits	57	1414	324262	bwf2	fl608	1979	1:15840
Urban land and borrow pits	Ubp	3425	124222	4585	ga067	1969	1:15840
Borrow pits	Bp	595	1725752	1vxsf	ga095	1965	1:20000
Pits, borrow	Pb	720	1722581	1vth4	ga604	1972	1:20000
Pits, borrow	Pb	15	2215569	2dcgz	ga605	1967	1:15840
Borrow pits	BP	1375	1678304	1tbdv	ga613	1969	1:20000
Borrow pits	Bp	225	1711525	1vfzh	ga618	1966	1:15840
Borrow pits	Bp	850	1445218	1khvy	ga627	1970	1:20000
Borrow pits	Bp	125	325987	by6q	ga643	1974	1:20000
Borrow pits	Bp	125	1429026	1jz0m	ga646	1971	1:20000
Pits	Pt	430	1707758	1vb1z	ga647	1970	1:20000
Borrow pits	BP	195	1604071	1qv57	ga652	1969	1:20000
Borrow pits	Bp	1	1681053	1tf8j	in041	1958	1:15840
Borrow pits	Bp	531	272446	94hl	in089	1967	1:15840
Borrow pits	Bp	43	1697630	1tzj8	in145	1968	1:15840
Borrow pits	Bp	23	1532038	1nf6l	in153	1966	1:15840
Borrow pits	Bp	19	1612956	1r4dv	in161	1958	1:15840
Borrow pits	Br	642	162736	5gbk	in163	1972	1:15840
Borrow pits	Bp	424	159654	5c44	in167	1971	1:20000
Levees-Borrow pits complex, nearly level to strongly sloping	LE	2848	1722574	1vtgx	la025	1983	1:24000
Levees-Borrow pits complex, nearly level to strongly sloping	LE	6183	1723896	1vvvk	la029	1983	1:24000
Levees-Borrow pits complex, nearly level to strongly sloping	LV	113	1716744	1vmdv	la035	1985	1:24000
Levees-Borrow pits complex, nearly level to strongly sloping	LE	6398	578846	mfbg	la107	2001	1:24000
Borrow pits	BP	99	284816	9kcm	me606	1966	1:15840
Borrow pits	BP	23	1712858	1vhch	me614	1960	1:20000
Borrow pits	Bp	405	1384566	1hgrf	mi029	1970	1:15840
Borrow pits	Bp	520	1588022	1q9gj	mi041	1969	1:24000
Borrow pits	Bp	101	202283	6sh8	mi047	1968	1:20000
Borrow pits	Bp	106	2451719	2n96q	mi087	1966	1:15840
Borrow pits	Bp	86	187533	694g	mi093	1968	1:20000
Borrow pits	Bp	1825	187404	6909	mi147	1969	1:20000
Pits and Aquepts, frequently flooded	501	5243	1716078	1vlqc	ms143	2006	1:24000
Borrow pits	Bp	5556	568735	m2t9	ms151	1959	1:20000
Borrow pits	BPI	23	579365	mfw6	ms163	1969	1:20000
Borrow pits	BP	150	292528	9tdd	ny053	1975	1:15840
Borrow pits	PB	448	293532	9vfs	ny067	1973	1:20000
Borrow pits	BP	60	1712459	1vgym	ny095	1965	1:15840
Borrow pits	Bo	506	170225	5q44	oh113	1969	1:15840
Borrow pits	Bp	4	288405	9p3d	oh133	1973	1:15840
Levees and borrow pits	Lb	2008	566793	m0sn	tn045	1963	1:15840
Borrow pits	Bp	497	481336	j4vz	ut602	1969	1:20000
Borrow pits	BP	5	493155	jk57	ut607	1965	1:15840
Borrow pits	BP	110	484822	j8hf	ut641	1971	1:24000
Borrow pits	Bp	70	71300	2d60	wa671	1961	1:31680

Map of Series Extent

Approximate geographic distribution of the BORROW PITS 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).