Official Series Description


Lab Data Summary

Aggregate lab data for the BIJOU soil series. This aggregation is based on all pedons with a current taxon name of BIJOU, 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 BIJOU 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
67B97P059196CO628031BIJOU6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties37.2341944,-103.10925
67B40A3829S1959CO087003Bijou4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties40.2763901,-103.9241638
67B40A3830S1959CO087004Bijou5Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties40.3183327,-103.9983368
67B06N0190S2006CO0871222Bijou7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties40.2766113,-103.9246368
6989P061689CO073004Bijou4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties38.5744438,-104.0091629

Water Balance

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

Click the image to view it full size.

Click the image to view it full size.

Soil series sharing subgroup-level classification with BIJOU, 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 BIJOU 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
Bijou sandy loam, 0 to 3 percent slopesBlB32189411234xwco00519711:20000
Bijou sandy loam, wet, 0 to 3 percent slopesBmB13699411334xxco00519711:20000
Valent-Bijou loamy sands, 1 to 12 percent slopes497109227664572t50fco01719851:24000
Bijou loamy sand, 0 to 3 percent slopes7910628082862tqxpco01719851:24000
Bijou loamy sand, dry, 0 to 2 percent slopes6744733900662tqxtco01719851:24000
Valent-Bijou loamy sands, 1 to 12 percent slopes492259727664602t50fco06119771:24000
Bijou loamy sand, dry, 0 to 2 percent slopes62623033900702tqxtco06119771:24000
Bijou loamy sand, 0 to 2 percent slopes6456594454358xco06119771:24000
Valent-Bijou loamy sands, 1 to 12 percent slopes1943932727664622t50fco07320011:24000
Bijou loamy sand, 0 to 3 percent slopes11496021051952tqxpco07320011:24000
Bijou loamy sand, dry, 0 to 2 percent slopes11328541051942tqxtco07320011:24000
Bijou loamy sand, 1 to 8 percent slopes1155971051962tqxqco07320011:24000
Bijou loamy sand, 0 to 1 percent slopesBlA132521103853pvtco08719651:24000
Bijou loamy sand, 1 to 3 percent slopesBlB83661103863pvvco08719651:24000
Bijou sandy loam, 0 to 1 percent slopesBnA60861103883pvxco08719651:24000
Bijou sandy loam, moderately deep, 0 to 1 percent slopesBoA22241103903pvzco08719651:24000
Bijou sandy loam, moderately deep, 1 to 3 percent slopesBoB9631103913pw0co08719651:24000
Bijou sandy loam, 1 to 3 percent slopesBnB5941103893pvyco08719651:24000
Bijou sandy clay loam, 0 to 1 percent slopesBmA5531103873pvwco08719651:24000
Bijou sandy loam, 3 to 8 percent slopes722161954332tqxsco62519751:24000
Bijou sandy loam, 0 to 3 percent slopes614608954222tqxrco62519751:24000
Bijou loamy sand, 1 to 8 percent slopes512825954112tqxqco62519751:24000
Bijou loamy sand, dry, 0 to 2 percent slopesBd274128862312tqxtco62519751:24000

Map of Series Extent

Approximate geographic distribution of the BIJOU 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 .