Official Series Description


Lab Data Summary

Aggregate lab data for the JACKET soil series. This aggregation is based on all pedons with a current taxon name of JACKET, 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 JACKET 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
43A88P0283S1987ID069003Jacket6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties46.4788694,-116.5011139

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the JACKET 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 JACKET 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 JACKET 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 JACKET 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 flats position figure.

Competing Series

Soil series competing with JACKET 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 JACKET 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 JACKET 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 hills figure.

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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 JACKET, 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 JACKET 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
Jacket-Deven-Hiibner families association, 15 to 35 percent slopes.18820199470503hsljca70319831:24000
Elmore-Jacket deep-Lawyer families association, 20 to 40 percent slopes.1687490470484hskxca70319831:24000
Jacket-Deven-Hiibner families association, 1 to 15 percent slopes.1873450470502hslhca70319831:24000
Jacket-Deven-Hiibner families association, 35 to 60 percent slopes.1893209470504hslkca70319831:24000
Elmore-Jacket deep-Lawyer families association, 1 to 20 percent slopes.1672137470483hskwca70319831:24000
Cardon-Jacket-Deven families association, 5 to 25 percent slopes.137547470456hsk0ca70319831:24000
Jacket silt loam, 12 to 30 percent slopes464263796582y6v6id61119941:24000
Meland-Jacket complex, 5 to 20 percent slopes853887797012ny0id61119941:24000
Mallory-Jacket complex, 10 to 40 percent slopes832968796992nxyid61119941:24000
Jacket-Larkin complex, 20 to 50 percent slopes472453796592nwnid61119941:24000
Jacket silt loam, 3 to 12 percent slopes451513796572y6v5id61119941:24000
Jacket silt loam, moist, 12 to 30 percent slopes2y6t944630988622y6t9id61119941:24000
Jacket silt loam, moist, 3 to 12 percent slopes2y6t89130988612y6t8id61119941:24000
Jacket-Wellsbench complex, 20 to 35 percent slopes1171992777290v2twid61220031:24000
Jacket silt loam, 3 to 12 percent slopes1161021777287v2tsid61220031:24000
Jacket silt loam, 12 to 30 percent slopes115787777288v2ttid61220031:24000
Meland-Jacket complex, 5 to 20 percent slopes167469777345v2wnid61220031:24000
Jacket silt loam, 12 to 25 percent slopes492487154023558hid61719761:24000
Jacket silt loam, 25 to 40 percent slopes501673154025558kid61719761:24000
Jacket silt loam, 7 to 12 percent slopes481056154022558gid61719761:24000
Jacket-Larkin complex, 15 to 40 percent slopes2y6tb39030988762y6tbid61719761:24000
Jacket silt loam, moist, 12 to 30 percent slopes2y6t931330988752y6t9id61719761:24000
Jacket silt loam, 3 to 7 percent slopes47190154021558fid61719761:24000
Jacket silt loam, moist, 3 to 12 percent slopes2y6t89430988742y6t8id61719761:24000
Jacket silt loam, moist, 12 to 30 percent slopes2y6t968030988982y6t9id61819651:24000
Jacket-Larkin complex, 15 to 40 percent slopes2y6tb32330988992y6tbid61819651:24000
Jacket silt loam, 12 to 30 percent slopes2y6v614130989112y6v6id61819651:24000
Jacket silt loam, moist, 3 to 12 percent slopes2y6t810630988972y6t8id61819651:24000
Jacket silt loam, 3 to 12 percent slopes2y6v56630989102y6v5id61819651:24000

Map of Series Extent

Approximate geographic distribution of the JACKET 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 .