Official Series Description


Lab Data Summary

Aggregate lab data for the KNOWLES soil series. This aggregation is based on all pedons with a current taxon name of KNOWLES, 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 KNOWLES were used in the calculation. Source: KSSL snapshot . Methods used to assemble the KSSL snapshot used by SoilWeb / SDE

There are insufficient data to create the lab data summary figure.


Water Balance

Monthly water balance estimated using a leaky-bucket style model for the KNOWLES 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 KNOWLES 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 KNOWLES 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 KNOWLES 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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Competing Series

Soil series competing with KNOWLES 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 KNOWLES 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 KNOWLES 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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There are insufficient data to create the 3D mountains figure.

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Click the image to view it full size.

Soil series sharing subgroup-level classification with KNOWLES, 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 KNOWLES 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
Knowles silt loam, 2 to 6 percent slopesKnB13084232882wsrywi02119721:15840
Knowles silt loam, 6 to 12 percent slopes, erodedKnC211244232892wss0wi02119721:15840
Knowles silt loam, 12 to 20 percent slopes, erodedKnD23314232902wss1wi02119721:15840
Knowles silt loam, 2 to 6 percent slopesKwB30154235942wsrywi02719761:15840
Knowles silt loam, 0 to 2 percent slopesKwA16454235932wsrxwi02719761:15840
Knowles silt loam, 6 to 12 percent slopes, erodedKwC27634235952wss0wi02719761:15840
Knowles variant silt loam, 0 to 2 percent slopesKxA344423596g6sdwi02719761:15840
Knowles variant silt loam, 2 to 6 percent slopesKxB332423597g6sfwi02719761:15840
Lomira-Knowles silt loams, 2 to 6 percent slopesLwB8474255022wss3wi03919671:15840
Knowles silt loam, 2 to 6 percent slopesKwB7814254802wsrywi03919671:15840
Knowles silt loam, 0 to 2 percent slopesKwA4484254792wsrxwi03919671:15840
Lomira-Knowles silt loams, 2 to 6 percent slopes, erodedLwB24204255032wss4wi03919671:15840
Knowles silt loam, 6 to 12 percent slopes, erodedKwC22434254812wss0wi03919671:15840
Lomira-Knowles silt loams, 0 to 2 percent slopesLwA2054255012wss2wi03919671:15840
Knowles silt loam, 12 to 20 percent slopes, erodedKwE21204254822wss1wi03919671:15840
Lomira-Knowles silt loams, 6 to 12 percent slopes, erodedLwC21204255042wss5wi03919671:15840
Knowles silt loam, 2 to 6 percent slopesKwB17844237032wsrywi04719741:20000
Knowles silt loam, 6 to 12 percent slopes, erodedKwC26744237042wss0wi04719741:20000
Knowles silt loam, 12 to 20 percent slopes, erodedKwD24564237052wss1wi04719741:20000
Knowles silt loam, 0 to 2 percent slopesKwA3444237022wsrxwi04719741:20000
Knowles silt loam, 2 to 6 percent slopesKwB10534033472wsrywi07920231:15840
Knowles silt loam, 0 to 2 percent slopesKwA1634033482wsrxwi07920231:15840
Knowles silt loam, 2 to 6 percent slopes, erodedKwB23724259862wsrzwi08919671:15840
Knowles silt loam, 0 to 2 percent slopesKwA2564259852wsrxwi08919671:15840
Knowles silt loam, mottled subsoil variant, 0 to 2 percent slopesKyA238425987g98jwi08919671:15840
Knowles silt loam, 2 to 6 percent slopesKmB12632687922wsrywi10120231:15840
Hochheim-Knowles silt loams, 1 to 6 percent slopesHtB4184238932xzl2wi11719741:15840
Knowles silt loam, mottled subsoil variant, 0 to 2 percent slopesKyA268425634g8x4wi12719671:15840
Knowles silt loam, 2 to 6 percent slopesKwB1744256332wsrywi12719671:15840
Knowles silt loam, 2 to 6 percent slopesKwB11504257442wsrywi13119671:15840
Knowles silt loam, 6 to 12 percent slopes, erodedKwC21104257452wss0wi13119671:15840
Knowles silt loam, 2 to 6 percent slopesKwB168134034152wsrywi13320231:15840
Knowles silt loam, 0 to 2 percent slopesKwA69734034162wsrxwi13320231:15840
Knowles silt loam, 2 to 6 percent slopesKwB8784227952wsrywi13919771:20000
Knowles silt loam, 6 to 12 percent slopes, erodedKwC22634227962wss0wi13919771:20000

Map of Series Extent

Approximate geographic distribution of the KNOWLES 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 .