Official Series Description


Lab Data Summary

Aggregate lab data for the ANOKA soil series. This aggregation is based on all pedons with a current taxon name of ANOKA, 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 ANOKA 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
90BUMN1572S1972MN1631572Anoka2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties45.1374168,-93.0074768
91AUMN1698S1973MN1451698Anoka2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties45.5221901,-94.178688
91B40A1675S1961MN059001Anoka6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties45.4947128,-93.2579956
91B40A1676S1961MN059002Anoka5Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties45.6319351,-93.4299469
91BUMN1224S1970MN0031224Anoka3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties45.3010712,-93.3061371

Water Balance

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

Competing Series

Soil series competing with ANOKA 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 ANOKA series and competing. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data .

Click the image to view it full size.

Geomorphic description summaries for the ANOKA 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 ANOKA, 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 ANOKA 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
Anoka loamy fine sand, 2 to 6 percent slopesAnB1919395902f8z1mn00319721:15840
Anoka loamy fine sand, 0 to 2 percent slopesAnA496395901f8z0mn00319721:15840
Anoka loamy fine sand, 6 to 12 percent slopesAnC414395903f8z2mn00319721:15840
Anoka and Zimmerman soils, terrace, 2 to 6 percent slopesD1B413729079sgnpmn00920071:12000
Anoka and Zimmerman soils, terrace, 6 to 12 percent slopesD1C59729080sgnqmn00920071:12000
Anoka loamy very fine sand, 1 to 6 percent slopes159B2823396548f9mwmn02519901:15840
Anoka loamy fine sand, 6 to 12 percent slopes159C539396549f9mxmn02519901:15840
Anoka and Zimmerman soils, terrace, 2 to 6 percent slopesD1B1122451658h4zmmn05320011:12000
Anoka and Zimmerman soils, terrace, 6 to 12 percent slopesD1C295451657h4zlmn05320011:12000
Anoka loamy fine sand, 2 to 7 percent slopesGu13466398354fcj4mn05919561:20000
Anoka loamy fine sand, 7 to 12 percent slopesGp3432398353fcj3mn05919561:20000
Anoka loamy fine sand, 7 to 18 percent slopes, moderately erodedGy1213398355fcj5mn05919561:20000
Anoka loamy fine sand, 0 to 2 percent slopesG198398352fcj2mn05919561:20000
Anoka loamy fine sand, 3 to 9 percent slopes159B57516772071t98gmn12319781:15840
Anoka loamy fine sand, 0 to 3 percent slopes15946616772061t98fmn12319781:15840
Anoka loamy sand, 2 to 8 percent slopes159B1496428085gcg6mn14519801:15840
Anoka loamy fine sand, 3 to 9 percent slopes159B134716770721t943mn16319781:15840
Anoka loamy fine sand, 0 to 3 percent slopes15954216770711t942mn16319781:15840

Map of Series Extent

Approximate geographic distribution of the ANOKA 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 .