Official Series Description


Lab Data Summary

Aggregate lab data for the STRANDQUIST soil series. This aggregation is based on all pedons with a current taxon name of STRANDQUIST, 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 STRANDQUIST 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
56UMN1262S1971MN0691262Strandquist3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties48.6307907,-96.3935089
56UMN1360S1971MN0691360Strandquist2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties48.5805893,-96.4097214
56UMN2689S1978MN1132689Strandquist2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties48.0781097,-96.3651657
5604N0627S2003MN069002Strandquist7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties48.5810013,-96.4096146

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the STRANDQUIST 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 STRANDQUIST 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 STRANDQUIST 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 STRANDQUIST 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 .

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.

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Competing Series

Soil series competing with STRANDQUIST 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 STRANDQUIST 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 STRANDQUIST 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 STRANDQUIST, 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 STRANDQUIST 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
Strandquist loam4327212397631fbrtmn00719911:24000
Strandquist loam, 0 to 1 percent slopesI61A31392798045prpjmn00719911:24000
Strandquist loam, dense till, 0 to 1 percent slopesI104A57279805321qcgmn00719911:24000
Stranquist loam432209724748012p279mn02919931:20000
Strandquist loam, dense till, 0 to 1 percent slopesI104A6783279885021qcgmn06920071:12000
Strandquist sandy loam432728398882fd25mn07719891:24000
Strandquist loam, 0 to 1 percent slopesI61A53572798936prpjmn08919941:20000
Strandquist loam, dense till, 0 to 1 percent slopesI104A4647279897921qcgmn08919941:20000
Strandquist loam4321026357144czmsmn08919941:20000
Strandquist loam, 0 to 1 percent slopesI61A6612799207prpjmn11320031:12000
Strandquist loam, 0 to 1 percent slopesI61A10562799808prpjmn12520011:12000
Strandquist loam, dense till, 0 to 1 percent slopesI104A6796279986321qcgmn13519991:24000
Strandquist loam, 0 to 2 percent slopes432645394863f7wjmn13519991:24000

Map of Series Extent

Approximate geographic distribution of the STRANDQUIST 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 .