Official Series Description


Lab Data Summary

Aggregate lab data for the PACHEL soil series. This aggregation is based on all pedons with a current taxon name of PACHEL, 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 PACHEL were used in the calculation. Source: KSSL snapshot . Methods used to assemble the KSSL snapshot used by SoilWeb / SDE

There are insufficient data to create the lab data summary figure.


Water Balance

Monthly water balance estimated using a leaky-bucket style model for the PACHEL 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 PACHEL 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 PACHEL 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 PACHEL 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 PACHEL 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 PACHEL 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 PACHEL 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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Soil series sharing subgroup-level classification with PACHEL, 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 PACHEL 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
Pachel loam, 0 to 4 percent slopes135B2086342082cgyxmt02519911:24000
Quincreek, very stony-Gnojek, extremely stony-Pachel, stony complex, 8 to 15 percent slopes90D345813833831hfj8mt63720141:24000
Pachel-Bigbear-Fairway complex, 2 to 15 percent slopes5404E381915646957tdmt6691:24000
Shawmut, extremely bouldery-Pachel-Martinsdale-Sawicki, extremely bouldery complex, 2 to 60 percent slopes3529F1575697291rdl8mt6691:24000
Meagher-Cabba-Pachel complex, 8 to 35 percent slopes5531E1244699419rgsxmt6691:24000
Farnuf-Pachel complex, 2 to 15 percent slopes57C960156826585xmt6691:24000
Savar-Pachel-Bondoe, very stony complex, 6 to 20 percent slopes930331368762yppdwy6291:24000
Wimper-like, extremely stony-Pachel-Shawmut, extremely stony complex, 6 to 20 percent slopes930431368772yppfwy6291:24000
Geohrock-like-Pachel-Joplin complex, 8 to 35 percent slopes940331368872yppqwy6291:24000
Echolake-like-Savar-Pachel complex, 15 to 40 percent slopes940731369072ypqcwy6291:24000
Coyoteflats, stony-Geohrock-Pachel complex, 4 to 40 percent slopes945032030582zbrnwy6291:24000
Sonnett, stony-Birney-Pachel complex, 20 to 60 percent slopes558232030632zbrtwy6291:24000
Pachel-Ormiston-like, stony-Eagleton, frequently ponded complex, 1 to 45 percent slopes930832090692zdr2wy6291:24000
Pachel-Weed-Braziel complex, 4 to 35 percent slopes931032090732zdr6wy6291:24000
Pachel-Evanston-Birney-like complex, 4 to 12 percent slopes234032504362zv5rwy6291:24000
Weed-Pachel-Pachel complex, 10 to 70 percent slopes944432504572zv6fwy6291:24000
Ipano, very stony-Farnuf-Pachel, stony complex, 15 to 40 percent slopes944532504592zv6hwy6291:24000
Birney, stony-Pachel-Evanston complex, 6 to 25 percent slopes931832504632zv6mwy6291:24000
Panguitch, stony-Pachel, stony-Baxendale-like complex, 15 to 50 percent slopes944932504742zv6zwy6291:24000
Fessler, very stony-Walstead-Pachel complex, 6 to 25 percent slopes930131368742yppbwy6291:24000
Wilde-like, stony-Haugan-Pachel complex, 10 to 70 percent slopes582832505552zv7ywy6291:24000
Carfall-Pachel complex, 8 to 25 percent slopes236532534242ztlkwy6291:24000
Pachel loam, 2 to 10 percent slopes223131368512ypnmwy6291:24000
Fessler, very stony-Walstead-Pachel complex, 6 to 25 percent slopes930132533552yppbwy65620081:24000
Pachel-Evanston-Birney-like complex, 4 to 12 percent slopes234032505142zv5rwy65620081:24000
Wilde-like, stony-Haugan-Pachel complex, 10 to 70 percent slopes582833029122zv7ywy65620081:24000
Pachel-Weed-Braziel complex, 4 to 35 percent slopes931033029152zdr6wy65620081:24000
Ipano, very stony-Farnuf-Pachel, stony complex, 15 to 40 percent slopes944532505362zv6hwy65620081:24000
Panguitch, stony-Pachel, stony-Baxendale-like complex, 15 to 50 percent slopes944932505382zv6zwy65620081:24000
Jarre, extremely stony-Pachel complex, 3 to 50 percent slopes970830515292081nb89wy71920131:24000

Map of Series Extent

Approximate geographic distribution of the PACHEL 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 .