Official Series Description


Lab Data Summary

Aggregate lab data for the BENONA soil series. This aggregation is based on all pedons with a current taxon name of BENONA, 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 BENONA 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
9807N0385F2006MI121008Benona6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties43.4463611,-86.2296111
9810N0106S09MI123003Benona6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties43.310833,-86.0166397
9810N0107S09MI139001Benona6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.8756104,-86.1836929

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the BENONA 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 BENONA 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 BENONA 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 BENONA 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 BENONA 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 BENONA 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 BENONA 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 BENONA, 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. MI-2012-02-06-46 | Oceana County - April 1996

    Typical pattern of soils and underlying material in the Benona-Spinks-Grattan association (Soil Survey of Oceana County, Michigan; April 1996).

Map Units

Map units containing BENONA 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
Benona sand, 0 to 6 percent slopes64B8801925906gdlmi10519921:15840
Benona sand, 6 to 12 percent slopes64C3371925916gdmmi10519921:15840
Benona sand, 12 to 18 percent slopes64D1991925926gdnmi10519921:15840
Benona sand, 0 to 6 percent slopes59B298701890646bqvmi12719921:15840
Benona sand, 6 to 18 percent slopes59C144501890656bqwmi12719921:15840
Spinks-Benona complex, 6 to 12 percent slopes45C119061890416bq3mi12719921:15840
Spinks-Benona complex, 0 to 6 percent slopes45B100261890406bq2mi12719921:15840
Spinks-Benona complex, 12 to 18 percent slopes, lake moderated107D491632236902zdhzmi12719921:15840
Benona sand, 18 to 35 percent slopes59E38841890666bqxmi12719921:15840
Benona sand, deep banded, 0 to 6 percent slopes56B33341890586bqnmi12719921:15840
Spinks-Benona complex, 18 to 35 percent slopes, lake moderated107E211132236912zdj0mi12719921:15840
Spinks-Benona complex, 12 to 18 percent slopes45D11421890426bq4mi12719921:15840
Benona sand, deep banded, 6 to 18 percent slopes56C9871890596bqpmi12719921:15840
Benona sand, deep banded, 18 to 35 percent slopes56E5841890606bqqmi12719921:15840
Spinks-Benona complex, 35 to 70 percent slopes45F2241890446bq6mi12719921:15840
Spinks-Benona complex, 18 to 35 percent slopes45E1671890436bq5mi12719921:15840
Benona sand, 0 to 6 percent slopes64B194191932776h3rmi61420051:12000
Benona sand, 6 to 12 percent slopes64C80101932786h3smi61420051:12000
Benona sand, 18 to 35 percent slopes64E57091933516h64mi61420051:12000
Benona sand, 12 to 18 percent slopes64D45951932796h3tmi61420051:12000
Benona sand, 35 to 70 percent slopes64F8531934236h8gmi61420051:12000

Map of Series Extent

Approximate geographic distribution of the BENONA 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 .