Official Series Description


Lab Data Summary

Aggregate lab data for the NEWVIENNA soil series. This aggregation is based on all pedons with a current taxon name of NEWVIENNA, 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 NEWVIENNA 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
105X49-488-11982IA097101NewVienna2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.1575203,-90.8482895
105X49-488-2S1983IA097017NewVienna2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.0921838,-90.3004679
n/aX49-488C2S1988IA097917NewVienna2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Propertiesn/a

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the NEWVIENNA 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 NEWVIENNA 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 NEWVIENNA 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 NEWVIENNA 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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There are insufficient data to create the 3D flats position figure.

Competing Series

Soil series competing with NEWVIENNA 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 NEWVIENNA 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 NEWVIENNA 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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Click the image to view it full size.

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

Click the image to view it full size.

Click the image to view it full size.

Soil series sharing subgroup-level classification with NEWVIENNA, 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. IA-2011-05-31-21 | Dubuque County - 1986

    Typical pattern of soils and underlying material in the Downs-Tama association (Soil Survey of Dubuque County, Iowa; 1986).

  2. IA-2011-05-31-51 | Jackson County - 1992

    Typical pattern of soils and parent material in the Downs-Fayette association (Soil Survey of Jackson County, Iowa; 1992).

  3. IA-2011-06-01-23 | Muscatine County - 1989

    Typical pattern of soils and parent material in the the Downs-Tama association (Soil Survey of Muscatine County, Iowa; 1989).

Map Units

Map units containing NEWVIENNA 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
Newvienna silt loam, 9 to 14 percent slopes, moderately eroded488D2963405057flhcia05519841:15840
Newvienna silt loam, 5 to 9 percent slopes, moderately eroded488C2190405056flhbia05519841:15840
Newvienna silt loam, 9 to 14 percent slopes, moderately eroded488D26500405448flwzia06119831:15840
Newvienna silt loam, 5 to 9 percent slopes, moderately eroded488C21693405447flwyia06119831:15840
Newvienna silt loam, 9 to 14 percent slopes, moderately eroded488D23432407523fp1xia09719881:15840
Newvienna silt loam, 5 to 9 percent slopes, moderately eroded488C21263407522fp1wia09719881:15840
Newvienna silty clay loam, 9 to 14 percent slopes, severely eroded488D3606407524fp1yia09719881:15840
Newvienna silty clay loam, 14 to 18 percent slopes, severely erdoed488E3225407526fp20ia09719881:15840
Newvienna silt loam, 14 to 18 percent slopes, moderately eroded488E2182407525fp1zia09719881:15840
Newvienna silt loam, 5 to 9 percent slopes, moderately eroded488C23224409995frmnia13919861:15840
Newvienna silty clay loam, 5 to 9 percent slopes, severely eroded488C31225409996frmpia13919861:15840
Newvienna silt loam, 9 to 14 percent slopes, moderately eroded488D2571409997frmqia13919861:15840
Newvienna silty clay loam, 9 to 14 percent slopes, severely eroded488D3406409998frmria13919861:15840
Newvienna silt loam, 2 to 5 percent slopes383B86518218663kzil12319971:15840
Newvienna silt loam, 2 to 5 percent slopes383B129917940860pcil17919911:15840
Newvienna silt loam, 2 to 5 percent slopes383B11531910224223r4il20320081:12000

Map of Series Extent

Approximate geographic distribution of the NEWVIENNA 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 .