Soil Data Explorer - MONTOYA

Official Series Description

Lab Data Summary

Aggregate lab data for the MONTOYA soil series. This aggregation is based on all pedons with a current taxon name of MONTOYA, 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 MONTOYA were used in the calculation. Source: KSSL snapshot (updated 2020-03-13). 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
70B	82P0501	82NM011002	Montoya	7	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	34.1944427,-104.1294479
70B	91P0540	91NM037012	Montoya	8	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	35.1591682,-103.6036148
77B	91P0535	91NM037007	Montoya	8	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	36.1372223,-103.6477814

Water Balance

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

Select annual climate data summaries for the MONTOYA 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).

Geomorphic description summaries for the MONTOYA 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 3D mountains figure.

Competing Series

Soil series competing with MONTOYA 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).

Select annual climate data summaries for the MONTOYA 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).

Geomorphic description summaries for the MONTOYA 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 3D mountains figure.

Soil series sharing subgroup-level classification with MONTOYA, 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).

Block Diagrams

Click a link below to display the diagram. Note that these diagrams may be from multiple survey areas.

1. TX-2012-03-20-39 | Deaf Smith County - August 1968

   Topography and underlying material of the Mobeetie (3); Quay-Montoya-Vernon (8); and Mobeetie-Potter-Rough broken land (4) associations (Soil Survey of Deaf Smith County, TX; 1968).

Map Units

Map units containing MONTOYA 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
Tucumcari-Montoya clay loams, 0 to 3 percent slopes	24	12816	376274	dmjw	nm011	1983	1:48000
Montoya clay loam, 0 to 1 percent slopes	105	1401	376255	dmj8	nm011	1983	1:48000
Montoya variant sandy clay loam, 0 to 1 percent slopes	113	874	376263	dmjj	nm011	1983	1:48000
Montoya variant fine sandy loam, 0 to 1 percent slopes	114	250	376264	dmjk	nm011	1983	1:48000
Tucumcari-Montoya complex, 0 to 3 percent slopes	26	12173	375858	dm3g	nm019	1988	1:48000
Montoya clay	MT	3853	376363	dmmr	nm021	1968	1:31680
Tucumcari-Montoya clay loams, 0 to 3 percent slopes, rarely ponded	024	2798	1905230	21yk1	nm041	2014	1:24000
Montoya-Tucumcari association,gently sloping	MF	64236	375534	dls0	nm630	1977	1:48000
Gullied land-Montoya complex, gently sloping	GC	2940	375521	dlrl	nm630	1977	1:48000
Montoya clay loam	MP	78449	376151	dmdx	nm676	1969	1:31680
Montoya clay loam, 0 to 1 percent slopes	Mr	6710	376154	dmf0	nm676	1969	1:31680
Montoya clay loam, 1 to 3 percent slopes	Ms	4647	376155	dmf1	nm676	1969	1:31680
Montoya clay loam and Gullied land	MT	3015	376152	dmdy	nm676	1969	1:31680
Montoya clay	MT	7174	3124154	dg5w	tx359	1978	1:24000

Map of Series Extent

Approximate geographic distribution of the MONTOYA 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).