Soil Data Explorer - MILOK

Official Series Description

Lab Data Summary

Aggregate lab data for the MILOK soil series. This aggregation is based on all pedons with a current taxon name of MILOK, 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 MILOK were used in the calculation. Source: KSSL snapshot (updated 2020-03-18). 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
35	06N0155	S2005UT019025	Milok	6	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	38.7730331,-109.6456833
35	09N1050	S2009UT025001	Milok	7	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	37.195446,-112.1986389

Water Balance

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

Competing Series

Soil series competing with MILOK 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 MILOK 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 MILOK 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 MILOK, 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 MILOK 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
Milok gravelly loam, 1 to 15 percent slopes	39	2644	52524	1rnb	az625	1992	1:24000
Milok-Pastern complex, 4 to 12 percent slopes	89	10298	798447	vsvc	az697	2005	1:24000
Milok-Pastern complex, 4 to 12 percent slopes	26	730	54531	1tr2	az699	1993	1:24000
Begay-Mido-Milok complex, 1 to 5 percent slopes	3	1925	814114	2rqqm	az707	2011	1:24000
Milok-Mido complex, 1 to 12 percent slopes	19	11440	54703	1txm	az714	1985	1:24000
Begay-Milok family-Mathis family complex, 1 to 60 percent slopes	11	38981	58055	2qszf	az715	2007	1:24000
Milok-Pinavetes families complex, 1 to 12 percent slopes	61	3708	58069	2qszs	az715	2007	1:24000
Milok-Solirec-Strych complex, 10 to 65 percent slopes, very stony	239	168	629843	p4dj	co686	1992	1:31680
Milok-Strych complex, 3 to 25 percent slopes, very stony	240	137	629844	p4dk	co686	1992	1:31680
Milok fine sandy loam, 3 to 8 percent slopes	238	130	629842	2wrfv	co686	1992	1:31680
Milok-Solirec-Strych complex, 10 to 65 percent slopes, very stony	38	2766	506258	jzsx	co692	1998	1:24000
Milok-Strych complex, 3 to 25 percent slopes, very stony	39	2133	506260	jzsz	co692	1998	1:24000
Milok fine sandy loam, 3 to 8 percent slopes	37	2032	506257	2wrfv	co692	1998	1:24000
Polychrome-Milok complex, 8 to 50 percent slopes	44	1632	506265	jzt4	co692	1998	1:24000
Milok-Solirec-Mespun complex, 1 to 8 percent slopes	MmB	4461	2408400	2lv4b	ut013		1:24000
Milok fine sandy loam, 3 to 8 percent slopes	141	3633	2248363	2wrfv	ut013		1:24000
Milok-Montwel-Badland association, 3 to 25 percent slopes	142	26233	505409	jyxj	ut047	1999	1:24000
Milok fine sandy loam, 3 to 8 percent slopes	141	17331	505408	2wrfv	ut047	1999	1:24000
Polychrome-Milok complex, 8 to 50 percent slopes	183	1029	505454	jyyz	ut047	1999	1:24000
Milok-Strych complex, 3 to 25 percent slopes, very stony	143	84	505410	jyxk	ut047	1999	1:24000
Mido-Wayneco-Milok families complex, 2 to 30 percent slopes	4127	1547	3193877	2z93g	ut625		1:24000
Milok, very stony-Strych, extremely stony complex, 2 to 15 percent slopes	CLB	4719	504623	jy35	ut629		1:24000
Paradox-Milok complex, 0 to 8 percent slopes	ELB	1492	504642	jy3s	ut629		1:24000
Milok-Begay complex	50	12796	55179	1vdz	ut631	1982	1:24000
Mido-Wayneco-Milok complex	47	11096	55175	1vdv	ut631	1982	1:24000
Milok-Mido complex	52	6161	55181	1vf1	ut631	1982	1:24000
Milok-Pastern complex	53	3045	55182	1vf2	ut631	1982	1:24000
Wayneco-Milok-Rock outcrop complex	118	2732	55130	1vcd	ut631	1982	1:24000
Milok-Chipeta complex	51	1551	55180	1vf0	ut631	1982	1:24000
Milok loamy fine sand, 4 to 8 percent slopes	48	1195	55176	1vdw	ut631	1982	1:24000
Milok sandy loam	49	460	55177	1vdx	ut631	1982	1:24000
Milok-Mivida complex	24	24589	55447	1vpm	ut638	1985	1:24000
Milok fine sandy loam, 1 to 6 percent slopes	23	10154	55446	1vpl	ut638	1985	1:24000
Milok-Skos-Strych complex	25	2896	55448	1vpn	ut638	1985	1:24000
Milok-Ildefonso-Millett complex, 8 to 35 percent slopes	53	4254	2485553	2pff4	ut642		1:63360
Begay-Milok-Ildefonso complex, 2 to 8 percent slopes	8	3517	2485498	2pfcc	ut642		1:63360
Milok-Barx-Rizno complex, 0 to 8 percent slopes	201	9422	2883913	2sp8h	ut643	1976	1:63000
Remorris-Milok-Rock outcrop complex, 10 to 60 percent slopes	78	8493	2507457	2q70t	ut685	1990	1:24000
Milok-Clapper complex, 2 to 20 percent slopes	42	305	2514999	2qdqq	ut685	1990	1:24000
Milok, steep-Strych complex, 15 to 60 percent slopes	43	222	2514998	2qdqp	ut685	1990	1:24000
Sanostee, warm-Milok-Lazear, warm complex, 2 to 15 percent slopes	5155	9938	59870	2099	ut686	2004	1:24000
Milok, cool-Barx, dry complex, 1 to 5 percent slopes	5003	3718	59748	205c	ut686	2004	1:24000
Sazi-Milok, cool complex, 2 to 30 percent slopes	5040	3180	59785	206k	ut686	2004	1:24000
Milok fine sandy loam, cool, 2 to 8 percent slopes	5006	2279	59751	205g	ut686	2004	1:24000
Milok-ThumbRock complex, cool 2 to 8 percent slopes	5021	2105	59766	205y	ut686	2004	1:24000
Milok fine sand, 2 to 8 percent slopes	5053	1950	59815	207j	ut686	2004	1:24000
Milok-Mido, strongly calcareous complex, 2 to 15 percent slopes	108	5027	1868795	20qmq	ut687	2009	1:24000
Milok very gravelly sandy loam, 2 to 15 percent slopes, eroded	129	350	1884181	217n1	ut687	2009	1:24000
Strych-Milok complex, 0 to 15 percent slopes	185	3850	504050	jxhp	wy638	1990	1:24000
Milok sandy loam, 2 to 6 percent slopes	157	1955	504014	jxgj	wy638	1990	1:24000

Map of Series Extent

Approximate geographic distribution of the MILOK 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).