Official Series Description


Lab Data Summary

Aggregate lab data for the VIRKULA soil series. This aggregation is based on all pedons with a current taxon name of VIRKULA, 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 VIRKULA 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
6200P125899SD081002Virkula7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties44.2091675,-103.5911102
6240A2489S1958SD081002Virkula3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties44.3005562,-103.8013916
6281P0012S1980SD081005Virkula6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties44.3849983,-103.7925034
6200P1261S2000SD081002Virkula7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties44.185276,-103.5266647

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the VIRKULA 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 VIRKULA 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 VIRKULA 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 VIRKULA 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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Competing Series

Soil series competing with VIRKULA 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 VIRKULA 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 VIRKULA 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 VIRKULA, 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 VIRKULA 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
Pactola-Virkula-Rock outcrop complex, 10 to 40 percent slopesQ0226E3379023756922kr37sd08120071:24000
Virkula-Pactola complex, 2 to 15 percent slopesQ0239D1188523756972kr3dsd08120071:24000
Grizzly-Virkula complex, 10 to 40 percent slopesQ0114E441023755352kqy5sd08120071:24000
Grizzly-Virkula complex, 3 to 15 percent slopesQ0114D438523755342kqy4sd08120071:24000
Buska-Virkula, high mica loams, 2 to 15 percent slopesQ0203D349123756272kr14sd08120071:24000
Pactola-Virkula-Rock outcrop complex, 10 to 40 percent slopes, extremely boulderyQ0227E192223756942kr39sd08120071:24000
Pactola-Virkula complex, 2 to 15 percent slopes, extremely boulderyQ0225D185323756912kr36sd08120071:24000
Grizzly-Virkula complex, 3 to 15 percent slopesQ0114D42425137472kqy4sd60019741:24000
Buska-Virkula, high mica loams, 2 to 15 percent slopesQ0203D1625144602kr14sd60019741:24000
Pactola-Virkula-Rock outcrop complex, 10 to 40 percent slopesQ0226E9166625864192kr37sd60720111:24000
Pactola-Virkula-Rock outcrop complex, dry, 10 to 40 percent slopesQ0315E3588225866032krk2sd60720111:24000
Buska-Virkula, high mica loams, dry, 2 to 15 percent slopesQ0304D1721125864792krjvsd60720111:24000
Virkula-Pactola complex, 2 to 15 percent slopesQ0239D710025864162kr3dsd60720111:24000
Buska-Virkula, high mica loams, 2 to 15 percent slopesQ0203D414825865962kr14sd60720111:24000
Virkula-Pactola complex, dry, 2 to 15 percent slopesQ0322D166725866332krk8sd60720111:24000
Roubaix-Virkula, complex, dry, 2 to 30 percent slopesQ0312E156825865132krk1sd60720111:24000
Grizzly-Virkula complex, 15 to 60 percent slopesQ0114F1520224388872mvvswy01119781:24000
Grizzly-Virkula complex, 3 to 15 percent slopesQ0114D330825137482kqy4wy01119781:24000

Map of Series Extent

Approximate geographic distribution of the VIRKULA 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 .