Official Series Description


Lab Data Summary

Aggregate lab data for the SIWEEKA soil series. This aggregation is based on all pedons with a current taxon name of SIWEEKA, 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 SIWEEKA 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
890P033989WA017001Siweeka3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties47.9749985,-119.7680588
890P033689WA017015Siweeka3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties47.7733345,-119.315834

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the SIWEEKA 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 SIWEEKA 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 SIWEEKA 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 SIWEEKA 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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There are insufficient data to create the 3D flats position figure.

Competing Series

Soil series competing with SIWEEKA 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 SIWEEKA 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 SIWEEKA 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 SIWEEKA, 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 SIWEEKA 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
Siweeka-Brazlan complex, 0 to 8 percent slopes33313364700655rj2swa01719981:12000
Siweeka complex, 0 to 8 percent slopes32712844700117rhjfwa01719981:12000
Heytou-Stubblefield-Siweeka complex, 0 to 20 percent slopes1998043704312rmwrwa01719981:12000
Siweeka-Brazlan complex, 8 to 15 percent slopes3345191700657rj2vwa01719981:12000
Siweeka-Brazlan-Argabak complex, 0 to 20 percent slopes3374874701787rk89wa01719981:12000
Siweeka-Timentwa-Dezellem complex, 0 to 15 percent slopes3404834704120rmpkwa01719981:12000
Siweeka-Stubblefield-Timentwa complex, 0 to 15 percent slopes3394687704118rmphwa01719981:12000
Timentwa-Siweeka complex, 3 to 8 percent slopes3984480701776rk7ywa01719981:12000
Siweeka complex, 8 to 15 percent slopes3282970700119rhjhwa01719981:12000
Argabak-Haploxerolls-Siweeka complex, 0 to 30 percent slopes242304704117rmpgwa01719981:12000
Timentwa-Siweeka complex, 8 to 15 percent slopes3991873701778rk80wa01719981:12000
Siweeka-Lickskillet-Argabak complex, 0 to 20 percent slopes3381660701784rk86wa01719981:12000
Siweeka-Timentwa-Stubblefield complex, 15 to 40 percent slopes3411434704106rmp3wa01719981:12000
Siweeka-Argabak complex, 0 to 15 percent slopes3301213699591rgzgwa01719981:12000
Timentwa-Siweeka complex, 15 to 30 percent slopes4001022701779rk81wa01719981:12000
Siweeka-Brazlan complex, 15 to 30 percent slopes335899700660rj2ywa01719981:12000
Siweeka-Brazlan-Brazlan extremely bouldery complex, 3 to 15 percent slopes336864700272rhpfwa01719981:12000
Timentwa-Siweeka-Dezellem complex, 30 to 60 percent slopes402792701774rk7wwa01719981:12000
Timentwa-Siweeka-Brazlan complex, 0 to 15 percent slopes401791701775rk7xwa01719981:12000
Siweeka complex, 15 to 30 percent slopes329646700121rhjkwa01719981:12000
Argabak-Nemire-Siweeka complex, 0 to 30 percent slopes29563704116rmpfwa01719981:12000
Siweeka-Argabak-Rock outcrop complex, 15 to 30 percent slopes331235699595rgzlwa01719981:12000
Siweeka-Argabak-Rock outcrop complex, 30 to 65 percent slopes332127699598rgzpwa01719981:12000

Map of Series Extent

Approximate geographic distribution of the SIWEEKA 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 .