Official Series Description


Lab Data Summary

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

Click the image to view it full size.

Pedons used in the lab summary:

MLRALab IDPedon IDTaxonnameCINSSL / NASIS ReportsLink To SoilWeb GMap
4B07N067804ca085641117BEN LOMOND6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties37.2625944,-122.1314333
n/a73C0024S1973CA087003BEN LOMOND7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Propertiesn/a
n/a73C0027S1973CA087006BEN LOMOND7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Propertiesn/a

Water Balance

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

Click the image to view it full size.



Click the image to view it full size.

Sibling Summary

Siblings are those soil series that occur together in map units, in this case with the BEN LOMOND series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot , parsed OSD records and snapshot of SC database .

Click the image to view it full size.

Select annual climate data summaries for the BEN LOMOND series and siblings. 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 BEN LOMOND 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 .

Click the image to view it full size.

Click the image to view it full size.

Click the image to view it full size.

Click the image to view it full size.

There are insufficient data to create the 3D flats position figure.

Competing Series

Soil series competing with BEN LOMOND share the same family level classification in Soil Taxonomy. Source: parsed OSD records and snapshot of the SC database .

Click the image to view it full size.

Select annual climate data summaries for the BEN LOMOND 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 BEN LOMOND 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 .

Click the image to view it full size.

There are insufficient data to create the 3D hills figure.

Click the image to view it full size.

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 BEN LOMOND, 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 BEN LOMOND 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
Ben Lomond-Catelli-Sur complex, 30 to 75 percent slopes11322470455889h9d3ca08719761:24000
Ben Lomond-Felton complex, 50 to 75 percent slopes11520079455891h9d5ca08719761:24000
Ben Lomond sandy loam, 50 to 75 percent slopes1127345455888h9d2ca08719761:24000
Ben Lomond-Felton complex, 30 to 50 percent slopes1144753455890h9d4ca08719761:24000
Ben Lomond sandy loam, 5 to 15 percent slopes1103233455886h9d0ca08719761:24000
Ben Lomond sandy loam, 15 to 50 percent slopes1113022455887h9d1ca08719761:24000
Ben Lomond-Casrock complex, 30 to 50 percent slopes517scl10524838302pcmkca08719761:24000
Ben Lomond gravelly sandy loam, 15 to 30 percent slopes516scl6424838292pcmjca08719761:24000
Ben Lomond-Felton complex, 30 to 75 percent slopes519scl3524838322pcmmca08719761:24000
Ben Lomond-Casrock complex, 50 to 75 percent slopes518scl2724838312pcmlca08719761:24000
Ben Lomond gravelly sandy loam, 15 to 30 percent slopes516scl2124838212pcm8ca63719581:15000
Ben Lomond-Casrock complex, 50 to 75 percent slopes518scl924838232pcmbca63719581:15000
Ben Lomond-Casrock complex, 30 to 50 percent slopes517scl824838222pcm9ca63719581:15000
Ben Lomond-Casrock complex, 30 to 50 percent slopes51774011882917216b8ca64120091:24000
Ben Lomond-Casrock complex, 50 to 75 percent slopes51845371882916216b7ca64120091:24000
Ben Lomond gravelly sandy loam, 15 to 30 percent slopes516234415462301nwzdca64120091:24000
Ben Lomond-Felton complex, 30 to 75 percent slopes5197723908622l7wlca64120091:24000
Ben Lomond sandy loam, 5 to 15 percent slopes110sc224838372pcmsca64120091:24000
Ben Lomond fine sandy loam, 50 to 75 percent slopesBeG921456970hbhzca64619671:24000

Map of Series Extent

Approximate geographic distribution of the BEN LOMOND 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 .