Official Series Description


Lab Data Summary

Aggregate lab data for the AGAR soil series. This aggregation is based on all pedons with a current taxon name of AGAR, 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 AGAR 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
53C40A2349S1954SD107001AGAR6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties44.9869461,-100.081665
53C40A2350S1954SD107002AGAR6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties44.9575005,-100.1252747

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the AGAR 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 AGAR 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 AGAR 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 AGAR 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 AGAR 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 AGAR 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 AGAR 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 AGAR, 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 AGAR 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
Agar silt loam, 2 to 6 percent slopes - 55CAaB147513549962s40lsd02319801:20000
Agar silt loam, 0 to 2 percent slopes - 55CAaA91813549952s40ksd02319801:20000
Agar silt loam, 6 to 9 percent slopes - 55CAaC16383549972s40msd02319801:20000
Agar silt loam, 3 to 6 percent slopesAgB55753541732v66psd04119721:24000
Agar silt loam, 3 to 6 percent slopesAaB37453552202v66psd05319821:20000
Agar silt loam, 0 to 3 percent slopesAaA23063552192v66nsd05319821:20000
Agar silt loam, 0 to 2 percent slopesAgA100313532602s40gsd06519701:20000
Agar silt loam, 2 to 6 percent slopesAgB12093532612s40hsd06519701:20000
Agar-Eakin silt loams, 2 to 6 percent slopesAkB11263532622xhbqsd06519701:20000
Agar silt loam, 3 to 6 percent slopesAaB100453555602v66psd08519841:20000
Agar silt loam, 0 to 3 percent slopesAaA25673555592v66nsd08519841:20000
Agar silt loam, 6 to 9 percent slopesAaC12083555612v66qsd08519841:20000
Agar-Mobridge silt loams, 0 to 3 percent slopesAmA23145355311cxqnsd10719831:20000
Agar silt loam, 0 to 2 percent slopesAgA216733553092s40gsd10719831:20000
Agar silt loam, 2 to 6 percent slopesAgB174123553102s40hsd10719831:20000
Agar-Mobridge-Tetonka silt loams, 0 to 3 percent slopesAoA3265355312cxqpsd10719831:20000
Agar silt loam, 0 to 3 percent slopesAgA4463534602v66nsd11719771:24000
Agar silt loam, 3 to 6 percent slopesAgB3303534612v66psd11719771:24000
Agar silt loam, 0 to 2 percent slopesAaA920893530582s40gsd11919671:20000
Agar silt loam, 2 to 6 percent slopesAaB219223530592s40hsd11919671:20000
Agar-Onita silt loams, 0 to 1 percent slopesAgA13626353065cvd6sd11919671:20000
Agar-Eakin silt loams, 0 to 2 percent slopesAeA74653530622yyhwsd11919671:20000
Agar-Walke silt loams, 0 to 2 percent slopesAkA7138353066cvd7sd11919671:20000
Agar silt loam, 6 to 9 percent slopesAaC53113530602s40jsd11919671:20000
Agar-Eakin silt loams, 2 to 6 percent slopesAeB49643530632xhbqsd11919671:20000
Agar-DeGrey silt loams, 0 to 2 percent slopesAdA4021353061cvd2sd11919671:20000
Agar-Eakin silt loams, 5 to 9 percent slopesAeC23493530642yyhxsd11919671:20000
Agar silt loam, cool, 2 to 6 percent slopesC722B736228001382rrrvsd12919751:20000
Agar silt loam, cool, 0 to 2 percent slopesC722A466928001372rrrtsd12919751:20000
Agar silt loam, 2 to 6 percent slopesAgB40323544692s40hsd12919751:20000
Agar silt loam, cool, 6 to 9 percent slopesC722C201028001392rrrwsd12919751:20000
Agar silt loam, 6 to 9 percent slopesAgC9823544702s40jsd12919751:20000
Agar silt loam, 0 to 2 percent slopesAgA6483544682s40gsd12919751:20000

Map of Series Extent

Approximate geographic distribution of the AGAR 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 .