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 . Methods used to assemble the KSSL snapshot used by SoilWeb / SDE

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Pedons used in the lab summary:

MLRALab IDPedon IDTaxonnameCINSSL / NASIS ReportsLink To SoilWeb GMap
70B82P050182NM011002Montoya7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties34.1944427,-104.1294479
70B91P054091NM037012Montoya8Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties35.1591682,-103.6036148
77B91P053591NM037007Montoya8Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties36.1372223,-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.

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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 , parsed OSD records and snapshot of SC database .

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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 .

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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 .

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There are insufficient data to create the 3D mountains figure.

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Competing Series

Soil series competing with MONTOYA share the same family level classification in Soil Taxonomy. Source: parsed OSD records and snapshot of the SC database .

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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 .

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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 .

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There are insufficient data to create the 3D mountains figure.

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Click the image to view it full size.

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 .

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 slopes2412816376274dmjwnm01119831:48000
Montoya clay loam, 0 to 1 percent slopes1051401376255dmj8nm01119831:48000
Montoya variant sandy clay loam, 0 to 1 percent slopes113874376263dmjjnm01119831:48000
Montoya variant fine sandy loam, 0 to 1 percent slopes114250376264dmjknm01119831:48000
Tucumcari-Montoya complex, 0 to 3 percent slopes2612173375858dm3gnm01919881:48000
Montoya clayMT3853376363dmmrnm02119681:31680
Tucumcari-Montoya clay loams, 0 to 3 percent slopes, rarely ponded0242798190523021yk1nm04120141:24000
Montoya-Tucumcari association,gently slopingMF64236375534dls0nm63019771:48000
Gullied land-Montoya complex, gently slopingGC2940375521dlrlnm63019771:48000
Montoya clay loamMP78449376151dmdxnm67619691:31680
Montoya clay loam, 0 to 1 percent slopesMr6710376154dmf0nm67619691:31680
Montoya clay loam, 1 to 3 percent slopesMs4647376155dmf1nm67619691:31680
Montoya clay loam and Gullied landMT3015376152dmdynm67619691:31680
Montoya clayMT71743124154dg5wtx35919781:24000

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 .