Official Series Description


Lab Data Summary

Aggregate lab data for the WOOD RIVER soil series. This aggregation is based on all pedons with a current taxon name of WOOD RIVER, 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 WOOD RIVER 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
7140A23341951NE079006Wood River6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties40.9036102,-98.5483322
7140A23351951NE079008Wood River5Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties40.9602776,-98.5694427
7140A23361951NE079010Wood River6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties40.9605591,-98.5839887
7140A2204S1949NE079005Wood River5Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties40.9838905,-98.3611145
7140A2202S1950NE079001Wood River6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties40.8247223,-98.7213898
7140A2333S1950NE079002Wood River6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties40.8208351,-98.7211075
7140A2252S1951NE079011Wood River6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties40.9488907,-98.5919418
7140A2205S1976NE121121Wood River7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties41.0319481,-98.1895294

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the WOOD RIVER 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 WOOD RIVER 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 WOOD RIVER 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 WOOD RIVER 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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Click the image to view it full size.

Competing Series

Soil series competing with WOOD RIVER 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 WOOD RIVER 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 WOOD RIVER 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 hills figure.

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 WOOD RIVER, 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. NE-2012-02-13-20 | Hall County - January 1962

    Ovina-Elsmere association in the north-central part of Hall County (Soil Survey of Hall County, Nebraska; January 1962).

Map Units

Map units containing WOOD RIVER 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
Wood River silt loam, 0 to 1 percent slopes89601764017000921v22pne01919671:20000
Wood River-Gayville complex, 0 to 1 percent slopes8965132122282212dsn3ne01919671:20000
Wood River silt loam, 1 to 3 percent slopes896196417000931v22qne01919671:20000
Wood River-Gayville variant complex, 0 to 1 percent slopes896469617000941v22rne01919671:20000
Wood River silt loam, 1 to 3 percent slopes896170316913371trz8ne02319791:20000
Wood River-Gayville complex, 0 to 1 percent slopes8965776216997251v1pvne04719751:20000
Wood River silt loam, 0 to 1 percent slopes8960112316997241v1ptne04719751:20000
Wood River-Silver Creek silt loams, 0 to 1 percent slopes89631394417001971v262ne07920031:12000
Wood River silt loam, 0 to 1 percent slopes8960910817001951v260ne07920031:12000
Wood River-Silver Creek fine sandy loams, 0 to 1 percent slopes8962462017001961v261ne07920031:12000
Wood River-Silver Creek fine sandy loams, 0 to 1 percent slopes89621122289152dtchne09319681:12000
Wood River silt loam, 0 to 1 percent slopes89607422282682dspmne12119781:20000

Map of Series Extent

Approximate geographic distribution of the WOOD RIVER 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 .