Official Series Description


Lab Data Summary

Aggregate lab data for the RONDEAU soil series. This aggregation is based on all pedons with a current taxon name of RONDEAU, 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 RONDEAU 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
102A99P0513S1999MN005001RONDEAU5Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties46.9899712,-95.9797211

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the RONDEAU 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 RONDEAU 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 RONDEAU 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 RONDEAU 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 RONDEAU 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 RONDEAU 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 RONDEAU 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 RONDEAU, 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 RONDEAU 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
Rondeau muck68701903576d2kmi00119931:20000
Rondeau muck681461913666f43mi00719981:12000
Rondeau muckRn3991896436cbjmi03519771:15840
Rondeau muck, snowy, 0 to 1 percent slopesRduaaA12833325272zdk0mi05519631:15840
Rondeau muck, snowy, 0 to 1 percent slopesRduaaA5933325542zdk0mi07319831:15840
Rondeau muck, snowy, 0 to 1 percent slopesRduaaA54733326012zdk0mi10719821:15840
Rondeau muck, snowy, 0 to 1 percent slopesRduaaA433326252zdk0mi12319901:15840
Rondeau muck7811361899476cnbmi12919871:15840
Rondeau muck, snowy, 0 to 1 percent slopesRduaaA54233326342zdk0mi13319661:15840
Rondeau muckRu173395964f911mn00319721:15840
Rondeau muck5451280397654fbskmn00719911:24000
Rondeau muck545428396585f9p2mn02519901:15840
Rondeau muck5451587356995czgzmn02719801:20000
Rondeau muck545471396876f9zgmn03719801:15840
Rondeau muck, depressional, 0 to 1 percent slopes545433436678gnddmn05719981:24000
Rondeau muck (seepland), 1 to 6 percent slopes719B277436708gnfcmn05719981:24000
Rondeau muckRu181357259czrhmn10719701:20000
Rondeau muck5451534428561gcykmn15319851:20000
Rondeau muck545271428804gd6dmn15919871:20000
Seelyeville, Cathro, and Rondeau soils, 0 to 1 percent slopes422A227448378h1ktwi01320041:12000
Rondeau muckRn810422266g5dhwi02919751:15840
Rondeau muckRd488422592g5r0wi08719751:15840

Map of Series Extent

Approximate geographic distribution of the RONDEAU 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 .