Official Series Description


Lab Data Summary

Aggregate lab data for the GOLVA soil series. This aggregation is based on all pedons with a current taxon name of GOLVA, 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 GOLVA 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
5491P032190ND053301Golva6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties47.6177778,-104.0191667

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the GOLVA 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 GOLVA 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 GOLVA 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 GOLVA 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 flats position figure.

Competing Series

Soil series competing with GOLVA 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 GOLVA 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 GOLVA 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.

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

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Soil series sharing subgroup-level classification with GOLVA, 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. ND-2012-02-07-40 | Golden Valley County - July 1989

    Typical pattern of soils and parent material in the Chama-Golva-Cabba association (Soil Survey of Golden Valley County, North Dakota; July 1989).

Map Units

Map units containing GOLVA 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
Golva silt loam, 2 to 8 percent slopes60C2768343575cjj2mt01719951:24000
Golva silt loam, 0 to 2 percent slopes60A373343574cjj1mt01719951:24000
Cambert-Bigsheep-Golva complex, 8 to 45 percent slopes962F23343806cjrjmt01719951:24000
Golva silt loam, 0 to 4 percent slopes37B1514871811lxjlmt02119711:24000
Cambert, calcareous-Bigsheep-Golva complex, 8 to 45 percent slopes212948344836cktrmt07919861:24000
Golva-Cambert silt loams, 2 to 8 percent slopes66764344985ckzkmt07919861:24000
Golva silt loam, 0 to 4 percent slopes64504344980ckzdmt07919861:24000
Golva silt loam, 4 to 8 percent slopes65361344984ckzjmt07919861:24000
Golva silt loam, 2 to 6 percent slopesE2213B366743256723d33pmt10919561:31680
Golva silt loam, 0 to 2 percent slopesE2213A163443256722d33nmt10919561:31680
Sen-Golva silt loams, 3 to 6 percent slopesE2985B698832566632r8lbmt10919561:31680
Sen-Golva silt loams, 6 to 9 percent slopesE2985C596632566642r8lcmt10919561:31680
Sen-Golva silt loams, 0 to 3 percent slopesE2985A208926990631vzv6nd00719981:24000
Cabba-Lantry-Golva silt loams, 9 to 50 percent slopesE2709F174525635362r6tynd01119691:20000
Golva silt loam, 0 to 2 percent slopesE2213A319072707287d33nnd03319851:24000
Golva silt loam, 2 to 6 percent slopesE2213B231982707288d33pnd03319851:24000
Sen-Golva silt loams, 3 to 6 percent slopesE2985B287127073002r8lbnd03319851:24000
Sen-Golva silt loams, 0 to 3 percent slopesE2985A222327072991vzv6nd03319851:24000
Cabba-Lantry-Golva silt loams, 9 to 50 percent slopesE2709F4127597402r6tynd03319851:24000
Sen-Golva silt loams, 0 to 3 percent slopesE2985A3427556871vzv6nd04119861:20000
Golva silt loam, 2 to 6 percent slopesE2213B29702715070d33pnd05320031:24000
Golva silt loam, 0 to 2 percent slopesE2213A17942715069d33nnd05320031:24000
Golva silt loam, 6 to 9 percent slopesE2213C9572715965d33qnd05320031:24000
Golva silt loam, 2 to 6 percent slopesE2213B82342707418d33pnd08719741:20000
Sen-Golva silt loams, 3 to 6 percent slopesE2985B696427158392r8lbnd08719741:20000
Sen-Golva silt loams, 0 to 3 percent slopesE2985A432427158381vzv6nd08719741:20000
Golva silt loam, 6 to 9 percent slopesE2213C19172707419d33qnd08719741:20000
Sen-Golva silt loams, 6 to 9 percent slopesE2985C93727158402r8lcnd08719741:20000
Sen-Golva silt loams, 0 to 3 percent slopesE2985A148617135421vzv6nd08919651:20000

Map of Series Extent

Approximate geographic distribution of the GOLVA 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 .