Official Series Description


Lab Data Summary

Aggregate lab data for the CIRAC soil series. This aggregation is based on all pedons with a current taxon name of CIRAC, 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 CIRAC 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
28B92P057192NV023002CIRAC7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties38.6361122,-117.6444473
2973C0055S1973NV009002Cirac7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties37.7507706,-118.0553818

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the CIRAC 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 CIRAC 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 CIRAC 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 CIRAC 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 CIRAC 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 CIRAC 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 CIRAC 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 CIRAC, 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

No block diagrams are available.

Map Units

Map units containing CIRAC 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
Cirac-Luning association451144203271040312skca8061:24000
Slaw-Cirac complex, 0 to 2 percent slopes101085773271060312shca8061:24000
Gynelle-Luning-Cirac association70891404524255952mf10nv77419851:24000
Slaw-Isolde-Cirac association14406724476772j03rnv77419851:24000
Isolde-Cirac-Playas association10435676476706j01mnv77419851:24000
Cirac fine sandy loam, 0 to 2 percent slopes193051174768332whm2nv77419851:24000
Eastgate-Cirac association12232977476738j02nnv77419851:24000
Cirac fine sandy loam, ponded, 0 to 2 percent slopes19311075476834j05rnv77419851:24000
Cirac-Wardenot-Slaw association1470151214807672v416nv78119941:24000
Cirac-Stumble association14773361480770j48qnv78119941:24000
Slaw-Cirac-Kawich association14953096480779j490nv78119941:24000
Cirac-Kawich association147613394807692v42xnv78119941:24000
Cirac-Nyserva-Kawich complex, 0 to 30 percent slopes347437588480982j4hknv78319911:24000
Cirac-Nyserva complex, 0 to 4 percent slopes347129843480980j4hhnv78319911:24000
Cirac-Slaw-Nyserva association347329039480981j4hjnv78319911:24000
Cirac-Keefa-Slaw association347522939480983j4hlnv78319911:24000
Cirac-Keefa-Nyserva association34703496480979j4hgnv78319911:24000
Gynelle-Kawich-Cirac complex, 0 to 30 percent slopes40709340469254hr97nv78519951:24000
Gynelle-Cirac association31113093484991j8nwnv79619841:63360
Cirac-Kawich association455126934850552v42xnv79619841:63360
Cirac-Luning association45111099485051j8qtnv79619841:63360
Cirac-Oricto association45010098485050j8qsnv79619841:63360
Rustigate-Louderback-Cirac association3708499485022j8pwnv79619841:63360
Papoose-Roic-Cirac association10307669484888j8kknv79619841:63360
Cirac-Playas-Kawich association4547356485054j8qxnv79619841:63360
Slaw-Cirac association4336820485041j8qhnv79619841:63360
Papoose-Cirac association10324426484890j8kmnv79619841:63360
Cirac-Rustigate-Settlement association4523830485052j8qvnv79619841:63360
Cirac-Gynelle-Oricto association4533740485053j8qwnv79619841:63360
Gynelle-Cirac-Oricto association3143183484994j8nznv79619841:63360
Slaw-Cirac complex, 0 to 2 percent slopes1010fi12193356313312shnv79619841:63360
Rustigate-Kawich-Cirac association373780485025j8pznv79619841:63360
Soda Lake-Cirac complex, 0 to 2 percent slopes5101588477656j118nv79919911:24000
Cirac fine sandy loam, 0 to 2 percent slopes5207694776582whm2nv79919911:24000

Map of Series Extent

Approximate geographic distribution of the CIRAC 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 .