Official Series Description


Lab Data Summary

Aggregate lab data for the CAPA soil series. This aggregation is based on all pedons with a current taxon name of CAPA, 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 CAPA 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
63A16N0184S2015SD075001Capa8Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties43.9095611,-100.9559444
63B14N0306S2013SD085001Capa8Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties43.948175,-99.5938517

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the CAPA 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 CAPA 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 CAPA 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 CAPA 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 CAPA 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 CAPA series and competing. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data .

There are insufficient data to create the annual climate figure.

Geomorphic description summaries for the CAPA 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 .

There are insufficient data to create the 2D hillslope position figure.

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

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

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

There are insufficient data to create the 3D flats position figure.

Soil series sharing subgroup-level classification with CAPA, 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. SD-2012-03-15-41 | Haakon County - 1998

    Typical pattern of soils and parent material in the Ottumwa-Lakoma-Kolls and Ottumwa-Lakoma associations (Soil Survey of Haakon County, SD; 1998).

  2. SD-2012-03-15-51 | Hyde County - 1998

    Typical pattern of soils and parent material in the Opal-Promise association (Soil Survey of Hyde County, SD; 1998).

Map Units

Map units containing CAPA 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
Capa silt loam, 0 to 6 percent slopes102745354677cx26sd02119781:20000
Capa-Slickspots complex, 0 to 6 percent slopes112100354678cx27sd02119781:20000
Capa silt loam, cool, 0 to 6 percent slopesC944B167227979482rsr9sd02119781:20000
Capa-Slickspots complex, 0 to 3 percent slopesClA726429126092wfqhsd04119721:24000
Carter-Capa silt loams, 0 to 3 percent slopesCaA8973552312v66tsd05319821:20000
Ottumwa-Capa complex, 0 to 3 percent slopesOvA25430354133cwhnsd05519921:24000
Capa-Wendte, channeled, complexCt17094354085cwg3sd05519921:24000
Capa silt loam, 0 to 6 percent slopesCbA48223540832wfqgsd05519921:24000
Capa-Slickspots complex, 0 to 3 percent slopesCc8563540842wfqhsd05519921:24000
Capa-Carter silt loams, 0 to 4 percent slopesCcA4887353785cw4fsd06919921:20000
Capa-Slickspots complex, 0 to 3 percent slopesClA21893537862wfqhsd06919921:20000
Capa silt loam, 0 to 6 percent slopesCpA24493536262wfqgsd07519911:24000
Promise-Capa complex, 0 to 3 percent slopesPcA14983536732yntjsd07519911:24000
Mosher-Capa silt loamsMp1415353653cw05sd07519911:24000
Capa silt loam, 0 to 6 percent slopesCpA155063555722wfqgsd08519841:20000
Promise-Capa complex, 0 to 3 percent slopesPcA146743556112yntjsd08519841:20000
Capa silt loam, 0 to 6 percent slopesCpA1304429330362wfqgsd11719771:24000
Carter-Capa silt loams, 0 to 3 percent slopesCc79423534672v66tsd11719771:24000
Promise-Capa complex, 0 to 3 percent slopesPcA52443535062yntjsd11719771:24000
Capa-Slickspots complex, 0 to 3 percent slopesClA362829330372wfqhsd11719771:24000
Capa-Wendte, channeled, complexCt5314045551j4k7sd11719771:24000
Erd-Capa complexEs3601354392cws0sd12319751:20000

Map of Series Extent

Approximate geographic distribution of the CAPA 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 .