Official Series Description


Lab Data Summary

Aggregate lab data for the STELLAR soil series. This aggregation is based on all pedons with a current taxon name of STELLAR, 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 STELLAR were used in the calculation. Source: KSSL snapshot . Methods used to assemble the KSSL snapshot used by SoilWeb / SDE

Click the image to view it full size.

Pedons used in the lab summary:

MLRALab IDPedon IDTaxonnameCINSSL / NASIS ReportsLink To SoilWeb GMap
4240A0759S1961NM013003Stellar4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties32.5065155,-106.7430725
4240A1159S1976NM017024Stellar8Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties32.2009621,-108.4931183
4240A1160S1976NM017025Stellar8Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties32.1229095,-108.4014511
n/a40A0802S1960NM013021Stellar4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Propertiesn/a
n/a40A0816S1970NM013004STELLAR6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Propertiesn/a
n/a90P0499S1990NM013008Stellar5Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Propertiesn/a

Water Balance

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

Click the image to view it full size.



Click the image to view it full size.

Sibling Summary

Siblings are those soil series that occur together in map units, in this case with the STELLAR series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot , parsed OSD records and snapshot of SC database .

Click the image to view it full size.

Select annual climate data summaries for the STELLAR series and siblings. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data .

Click the image to view it full size.

Geomorphic description summaries for the STELLAR 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 .

Click the image to view it full size.

Click the image to view it full size.

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

Click the image to view it full size.

Click the image to view it full size.

Competing Series

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

Click the image to view it full size.

Select annual climate data summaries for the STELLAR series and competing. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data .

Click the image to view it full size.

Geomorphic description summaries for the STELLAR 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 .

Click the image to view it full size.

Click the image to view it full size.

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

Click the image to view it full size.

Click the image to view it full size.

Soil series sharing subgroup-level classification with STELLAR, 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. NM-2012-02-14-05 | Hidalgo County - December 1973

    Diagram showing relationship of several soil associations and the topography in Hidalgo County (Soil Survey of Hidalgo County, New Mexico; December 1973).

Map Units

Map units containing STELLAR 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
Stellar gravelly sandy clay loam, 0 to 5 percent slopes404425544651tnyaz66319791:24000
Stellar sandy clay loamSS89094570522sprvnm02319671:31680
Cloverdale-Stellar association, 0 to 3 percent slopesCL20383569991x9pnm02319671:31680
Stellar sandy clay loamSr11576570542sprwnm02319671:31680
Forrest-Stellar associationFM9982570082sprgnm02319671:31680
Stellar silty clay loamSt4581570551xchnm02319671:31680
Stellar cobbly silty clay loamSu2850570561xcjnm02319671:31680
Stellar silty clay loamSU144902560661wblnm02919671:24000
Stellar sandy loamST19300560651wbknm02919671:24000
Stellar silty clay loam, 0 to 1 percent slopesSw5671560701wbqnm02919671:24000
Stellar-Continental association, gently sloping7858674565571wvfnm66019811:48000
Stellar-Mohave association, 0 to 5 percent slopes65168436593361zr2nm66219791:48000
Stellar-Verhalen-Mimbres association, 0 to 2 percent slopes6635285593372spsvnm66219791:48000
Conger-Stellar association, 0 to 5 percent slopes910963593632spsnnm66219791:48000
Stellar associationST8295634591p9bpnm6901:24000

Map of Series Extent

Approximate geographic distribution of the STELLAR 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 .