Soil Data Explorer - QUARRIES

Official Series Description

Lab Data Summary

Aggregate lab data for the QUARRIES soil series. This aggregation is based on all pedons with a current taxon name of QUARRIES, 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 QUARRIES 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 QUARRIES 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 QUARRIES 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 QUARRIES 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 QUARRIES 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 QUARRIES 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 QUARRIES 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 QUARRIES 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 QUARRIES, 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 QUARRIES 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
Quarry	Qa	70	1604063	1qv4z	al015	1959	1:20000
Quarry	Qa	508	1454919	1ktyw	al071	1943	1:24000
Quarry	Qu	230	330553	c2z0	al091	1997	1:24000
Quarry, limestone	Qa	31	1712005	1vggz	al099	1984	1:20000
Quarry	Qa	29	1590350	1qcwm	al103	1949	1:15840
Quarry	Qa	434	1602253	1qs8l	al121	1969	1:20000
Quarry	QU	4	1389384	1hmrv	ca069	1965	1:20000
Quarry	QU	158	456148	h9ng	ca095	1969	1:24000
Quarries	QU	27	813993	wb0v	ca097	1968	1:20000
Quarry	QU	19	456651	hb5p	ca609	1963	1:20000
Quarries	Qu	236	612762	nkmj	ca624	1968	1:20000
Quarries	QU	12	1014919	1323b	ca628	1963	1:20000
Quarries	QU	48	632978	p7nn	ca638	1967	1:24000
Quarries	QU	118	894254	z0jx	ca649	1967	1:24000
Quarries	166	1120	463870	hkpk	ca670	1977	1:24000
Quarries	QU	10	1389686	1hn2l	ca672	1966	1:20000
Quarries and Pits soils	GP	685	457958	hcjv	ca677	1972	1:24000
Quarries	QU	458	458338	hcy3	ca679	1967	1:15840
Quarries	QU	5	1398761	1hyjb	ca681	1968	1:24000
Quarries	Qu	5	1722647	1vtk8	dc001	1975	1:12000
Quarries	Qu	375	124905	45z6	ga221	1984	1:20000
Quarries	Qu	100	1713805	1vjc1	ga622	1967	1:20000
Quarries	QU	730	125537	46ml	ga625	1976	1:20000
Pits, quarry	601	17	790628	vjq4	ma605	1977	1:15840
Pits, quarry	601	438	791245	vkc1	ma606	1981	1:15840
Pits, Quarry	601	357	1903077	21w9l	ma607	1975	1:15840
Pits, quarries	601	20	277774	9b1g	ma609	1980	1:15840
Quarries, marble, active/inactive	QM	870	2403991	2lpk3	md005	2010	1:12000
Quarries, schist/gneiss	QS	189	2481178	2p8w0	md005	2010	1:12000
Quarries, marble, 3 to 65 percent slopes	QM	525	2496033	2ptnj	md013	2010	1:12000
Quarries	Qu	307	2440697	2mxr5	md015	2009	1:12000
Quarries, limestone	Ql	545	559059	lrr5	md021	2001	1:12000
Quarries, marble	Qm	500	559058	lrr4	md021	2001	1:12000
Quarries, phyllite	Qp	5	559057	lrr3	md021	2001	1:12000
Quarry	Qu	48	1423278	1js16	me005	1969	1:24000
Quarries	QU	11	823506	wmxq	me011	1974	1:20000
Quarries	Qu	60	284579	9k3z	me027	1979	1:20000
Quarries	QU	111	284866	9kf7	me606	1966	1:15840
Quarry	54	131	465644	hmjs	mp645	1986	1:10000
Quarries	Qr	85	281008	9fds	nh601	1980	1:20000
Quarries, 0 to 8 percent slopes	398B	72	280194	9dkj	nh609	2007	1:24000
Quarries	Qu	160	289483	9q75	ny011	1968	1:15840
Quarries	Qu	2	1401608	1j1h5	ny015	1969	1:20000
Quarries	QU	535	1383640	1hfsk	ny037	2004	1:24000
Quarries	Qu	112	292625	9thj	ny053	1975	1:15840
Quarries	QP	280	292881	9trs	ny057	1973	1:24000
Quarries	Pt	1996	293651	9vkm	ny067	1973	1:20000
Quarries	Qu	177	293953	9vwc	ny071	1976	1:15840
Quarries	QU	246	294073	9w07	ny073	1973	1:15840
Quarries	Qu	2	1711998	1vggr	ny093	1973	1:15840
Quarries	QU	130	1712462	1vgyq	ny095	1965	1:15840
Quarries	QP	95	294768	9wqn	ny099	1966	1:15840
Quarries	Qu	128	1675859	1t7vz	ny109	1963	1:20000
Pits, quarry	Ps	492	1591225	1qdsv	ny115	1972	1:20000
Quarries	Qu	16	295420	9xdp	ny121	1969	1:20000
Quarries	Qu	1033	1149279	17kxj	ny664	1968	1:15840
Pits, quarry	Pp	218	709028	rssw	oh033	1975	1:15840
Quarries	Qu	51	169266	5p46	oh047	1968	1:15840
Quarries	Qu	893	287804	9nh0	oh093	1972	1:15840
Pits, quarry	Pq	96	288377	9p2h	oh103	1974	1:15840
Quarries	Qu	190	169955	5pvf	oh107	1975	1:15840
Pits, quarry	Pq	346	169531	5pdr	oh109	1973	1:15840
Quarries	Qu	207	170300	5q6k	oh113	1969	1:15840
Pits, quarries	Pq	392	288485	9p5z	oh133	1973	1:15840
Quarries	Qu	112	170672	5qlk	oh137	1971	1:20000
Quarries	Qu	137	1406097	1j64z	oh159	1970	1:15840
Quarries	QU	111	541713	l5pm	pa003	1973	1:15840
Pits and Quarries	Pm	214	541850	l5v1	pa009	1989	1:24000
Quarries	Qu	1418	543067	l739	pa011	1997	1:24000
Quarries-Dumps complex	Qu	993	542405	l6dy	pa013	1978	1:20000
Quarries	Q	937	545189	l99r	pa055	1999	1:24000
Quarries	Q	247	544927	l919	pa057	1999	1:24000
Quarries	Qu	1239	927072	103pk	pa061	1974	1:20000
Quarries	Qu	21	299335	b1gz	pa069	1976	1:20000
Quarry	QA	408	319966	bqyh	pa089	1975	1:20000
Quarries	Qu	142	539020	l2wr	pa093	1980	1:20000
Quarries	Qu	89	539663	l3kh	pa097	1980	1:20000
Quarry, rock	QA	78	297256	9z9x	pa103	1995	1:24000
Quarries	Qu	81	540841	l4sh	pa109	1980	1:20000
Quarries	Qu	129	542110	l63f	pa111	1977	1:20000
Rock quarry	QA	384	319948	bqxx	pa115	1968	1:20000
Quarries	Qu	107	540942	l4wr	pa119	1980	1:20000
Quarries	Qu	126	296621	9ynf	pa127	1977	1:20000
Quarries	Qu	68	301964	b46s	pa131	1976	1:20000
Pits, quarries	Qu	75	1711448	1vfx0	tn147	1965	1:15840
Quarries and Mines	QU	150	519273	kfbr	va035	1965	1:15840
Quarries-Dumps complex	40	43	516558	kbj5	va043	1980	1:15840
Udorthents-Quarries complex	42	331	119042	3zw2	va075	1976	1:15840
Quarries	X	7	119945	40t6	va137	1966	1:15840
Quarry	Qu	50	281302	9fq8	vt001	1967	1:15840
Quarries	Qd	197	281747	9g5m	vt007	1969	1:15840
Pits, quarry	Qu	27	1014866	1321m	vt013	1956	1:20000
Quarries	Qu	147	512859	k6nv	wv039	1976	1:20000
Quarries	Qu	480	514400	k88k	wv611	1977	1:20000
Mines and Quarries	189	592	104545	3hsf	wy031	1998	1:24000

Map of Series Extent

Approximate geographic distribution of the QUARRIES 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).