Official Series Description


Lab Data Summary

Aggregate lab data for the SAULICH soil series. This aggregation is based on all pedons with a current taxon name of SAULICH, 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 SAULICH 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
23108N0090S2007AK001008Saulich5Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties65.0769196,-145.8732452

Water Balance

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

There are insufficient data to create the water balance bar figure.



There are insufficient data to create the water balance line figure.

Sibling Summary

Siblings are those soil series that occur together in map units, in this case with the SAULICH 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 SAULICH series and siblings. 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 SAULICH 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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Click the image to view it full size.

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

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

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Competing Series

Soil series competing with SAULICH 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 SAULICH 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 SAULICH 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.

Click the image to view it full size.

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 SAULICH, 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

Click a link below to display the diagram. Note that these diagrams may be from multiple survey areas.

  1. AK-2011-05-27-01 | Fairbanks Area - 1959

    Diagram of a landscape showing relationship of soil series, underlying material, and permafrost. Adapted from Pewe (Soil Survey of Fairbanks Area, Alaska; 1959).

Map Units

Map units containing SAULICH 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
Saulich-Minto complex, 3 to 12 percent slopes1683767692925r81fak61020031:25000
Saulich peat, 3 to 7 percent slopes1652975692895r80gak61020031:25000
Saulich peat, 7 to 12 percent slopes166924692896r80hak61020031:25000
Saulich-Minto complex, 12 to 20 percent slopes169268692926r81gak61020031:25000
Saulich peat, 12 to 20 percent slopes167242692897r80jak61020031:25000
Saulich peat, 7 to 12 percent slopes13125736517671qvxak64219901:24000
Saulich-Fairbanks complex, 3 to 12 percent slopes13310929517691qvzak64219901:24000
Saulich peat, 3 to 7 percent slopes1303819517661qvwak64219901:24000
Saulich peat, 12 to 20 percent slopes1322977517681qvyak64219901:24000
Typic Dystrocryepts-Tetlin-Saulich association, 15 to 70 percent slopes3121573518061qx5ak64319981:24000
Saulich peat, 0 to 6 percent slopes2619153518011qx0ak64319981:24000
Saulich peat, 6 to 30 percent slopes2710503518021qx1ak64319981:24000
Typic Dystrocryepts-Saulich complex, 3 to 15 percent slopes305694518051qx4ak64319981:24000
Saulich and Chatanika soils, 3 to 15 percent slopes81V23855520001r3fak65020061:24000
Saulich and Chatanika soils, 15 to 20 percent slopes81X8924520011r3gak65020061:24000
Saulich peat, 3 to 7 percent slopes51B2235510781q4pak65020061:24000
Saulich peat, 7 to 12 percent slopes51C683510791q4qak65020061:24000
Saulich peat, 3 to 7 percent slopes31SA012365202559825zswak65520071:25000
Saulich-Minto complex, 3 to 7 percent slopes31SA052218202560225zt0ak65520071:25000
Saulich peat,12 to 20 percent slopes31SA03417202560025zsyak65520071:25000
Saulich peat, 7 to 12 percent slopes31SA02291202559925zsxak65520071:25000
Saulich-Minto complex, 12 to 20 percent slopes31SA07170202560425zt2ak65520071:25000
Saulich peat, 20 to 30 percent slopes31SA04116202560125zszak65520071:25000

Map of Series Extent

Approximate geographic distribution of the SAULICH 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 .