Official Series Description


Lab Data Summary

Aggregate lab data for the HAFMAU soil series. This aggregation is based on all pedons with a current taxon name of HAFMAU, 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 HAFMAU 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.

Pedons used in the lab summary:

MLRALab IDPedon IDTaxonnameCINSSL / NASIS ReportsLink To SoilWeb GMap
43C99P0580S1999OR023002HAFMAU4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties44.5464249,-119.034584

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the HAFMAU 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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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 HAFMAU series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot , parsed OSD records and snapshot of SC database .

There are insufficient data to create the sibling sketch figure.

Select annual climate data summaries for the HAFMAU 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 HAFMAU 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 .

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.

Competing Series

Soil series competing with HAFMAU share the same family level classification in Soil Taxonomy. Source: parsed OSD records and snapshot of the SC database .

There are insufficient data to create the competing sketch figure.

Select annual climate data summaries for the HAFMAU 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 HAFMAU 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 HAFMAU, 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 HAFMAU 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
Normauk, dry-Hafmau-Hafling complex, 15 to 50 percent north slopesT2B101171534261542mr1or6181:24000
Maule-Hafmau Complex, 10 to 50 percent slopesP850881834260641qv5gor6181:24000
Bingville-Hafmau-Maucav, dry complex, 15 to 40 percent slopesB400596834347482mplor6181:24000
Hafmau-Harveycreek-Rock outcrop complex, 30 to 70 percent slopesC300415234321942ms2or6181:24000
Norlo-Shotsprings-Hafmau complex, 0 to 20 percent slopesN675198234261971qkjmor6181:24000
Maucav-Hafmau complex, 0 to 15 percent slopes3439AO17453426106130znor6181:24000
Maucav-Hafmau-Anatone complex, 15 to 30 percent slopes3447BO17293437528130zpor6181:24000
Hafmau very gravelly loam, 1 to 12 percent slopes40710313426179wg3ror6181:24000
Maucav-Shotsprings-Hafmau complex, 30 to 60 percent slopes3448CO6663434897130zqor6181:24000
Hankins-Maucav-Hafmau complex, 15 to 30 percent slopes3439BO32034261492pgdcor6181:24000
Norlo-Shotsprings-Hafmau complex, 0 to 20 percent slopesN67518934260371qkjmor6271:24000
Maule-Hafmau Complex, 10 to 50 percent slopesP8502134250311qv5gor6271:24000
Hafmau-Harveycreek-Rock outcrop complex, 30 to 70 percent slopesC300734321972ms2or6271:24000
Maule-Hafmau Complex, 10 to 50 percent slopesP850265934218081qv5gor6771:24000
Maucav-Hafmau complex, 0 to 15 percent slopes3439AO6903424457130znor6771:24000
Hankins-Maucav-Hafmau complex, 15 to 30 percent slopes3439BO19034247182pgdcor6771:24000
Normauk, dry-Hafmau-Hafling complex, 15 to 50 percent north slopesT2B1016234247272mr1or6771:24000
Norlo-Shotsprings-Hafmau complex, 0 to 20 percent slopesN67511334249971qkjmor6771:24000
Hafmau very gravelly loam, 1 to 12 percent slopes407443424839wg3ror6771:24000

Map of Series Extent

Approximate geographic distribution of the HAFMAU 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 .