Official Series Description


Lab Data Summary

Aggregate lab data for the KUNZLER soil series. This aggregation is based on all pedons with a current taxon name of KUNZLER, 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 KUNZLER 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
28A82P076482UT003004KUNZLER8Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties41.7174149,-113.4858551
28A13N0352S2012NV033002Kunzler8Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties39.0431694,-114.4830389
28A13N0357S2012NV033007Kunzler7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties38.9253083,-114.4080889

Water Balance

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

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.

Competing Series

Soil series competing with KUNZLER 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 KUNZLER 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 KUNZLER 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.

Click the image to view it full size.

Soil series sharing subgroup-level classification with KUNZLER, 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. UT-2012-03-22-01 | Box Elder County, Western Part - September 1997

    Relationship of soils and parent material in the Lembos-Acana-Kunzler general soil map unit (Soil Survey of Box Elder County Utah, Western Part; 1997).

Map Units

Map units containing KUNZLER 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
Blimo-Kunzler-Linoyer association121017087478605j20wnv76619941:24000
Kunzler-Sycomat association1123169434783742wbhynv76619941:24000
Duffer-Kunzler association88115774478510j1xtnv76619941:24000
Sycomat-Kunzler association128010245478620j21cnv76619941:24000
Threesee-Kunzler association10027834478556j1z9nv76619941:24000
Idway-Zorravista-Kunzler association14137785478637j21xnv76619941:24000
Kunzler-Sheffit association5417702478375j1sgnv76619941:24000
Kunzler-James Canyon association8276846478482j1wxnv76619941:24000
Timpie-Kunzler-Threesee association14716438478647j227nv76619941:24000
Kunzler-Pyrat-Blimo association8236431478478j1wsnv76619941:24000
Threesee-Shantown-Kunzler association14145911478638j21ynv76619941:24000
Mazuma-Kunzler-Zerk association8072491478473j1wmnv76619941:24000
Kunzler-Pyrat-Wendane association8282484478483j1wynv76619941:24000
Kunzler-Katelana association mlra 28b82416814784792wbhxnv76619941:24000
Blimo-Kunzler-Pern association9909026340432rn2fnv77619831:63360
Kunzler-Pern association112277522156102dcj9nv77820131:24000
Atlanta-Kunzler association502012093637448pd9vnv77920041:24000
Kunzler-Sycomat association32908383480048j3jfnv77920041:24000
Kunzler-Toopits-Atlanta association50705095641001pj0gnv77920041:24000
Kunzler association32934145480050j3jhnv77920041:24000
Kunzler-Katelana association32914060480049j3jgnv77920041:24000
Sycomat-Gravier-Kunzler association31753830780503v65jnv77920041:24000
Sycomat-Kunzler-Armespan association36163380784793vbmxnv77920041:24000
Kunzler-Ragnel association32943203480051j3jjnv77920041:24000
Kunzler-Kawich-Toopits association31981541780504v65knv77920041:24000
Atlanta-Kunzler-Baberwit association5022971637447pd9tnv77920041:24000
Kunzler-Sycomat association1123411334801622wbhynv78019901:24000
Kunzler-Katelana association mlra 28b491174364805072wbhxnv78019901:24000
Sheffit-Kunzler association25517400480372j3vwnv78019901:24000
Blimo-Kunzler-Pern association99011010480653j44ynv78019901:24000
Kunzler-Duffer association13109128480233j3qdnv78019901:24000
Kunzler loam, 0 to 2 percent slopes4907086480506j406nv78019901:24000
Kunzler-Bylo-Zimwala association6434840480562j420nv78019901:24000
Kunzler-Linoyer association6424270480561j41znv78019901:24000
Devilsgait-Duffer-Kunzler association9113876480635j44cnv78019901:24000
Broyles-Kunzler-Heist association1622265480301j3slnv78019901:24000
Kunzler-Blimo-Uwell association6452035480563j421nv78019901:24000
Kunzler-Pern association11221125480164j3n5nv78019901:24000
Kunzler, dry-Sycomat association321193845480928j4ftnv78319911:24000
Kunzler-Candelaria association321226773480929j4fvnv78319911:24000
Kunzler-Sycomat association3210249354809272wbhynv78319911:24000
Linoyer-Kunzler association397420979481087j4lynv78319911:24000
Kunzler-Sycomat association32907413956312wbhynv78420061:24000
Kunzler-Lembos association, 1 to 5 percent slopes4564664481254j4sbut60119851:24000
Hiko Peak-Kunzler association, 3 to 12 percent slopes362937481244j4s0ut60119851:24000
Thermosprings-Taylorsflat, moderately saline-Kunzler complex 0 to 2 percent slopes139858122204622djktut6261:24000

Map of Series Extent

Approximate geographic distribution of the KUNZLER 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 .