Official Series Description


Lab Data Summary

Aggregate lab data for the WESTPHALIA soil series. This aggregation is based on all pedons with a current taxon name of WESTPHALIA, 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 WESTPHALIA 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
149A89P036488MD033002Westphalia5Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties39.0272217,-76.8227768
149A89P036788MD033005Westphalia5Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties39.0272217,-76.8227768
149A93P025292NJ015012Westphalia7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties39.7138901,-75.3002777
149A93P025392NJ015013Westphalia5Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties39.7141685,-75.3000031
149A40A0350S1959NJ005002Westphalia3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties39.9069443,-74.7361145
149A40A0333S1959NJ007001Westphalia4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties39.8030701,-75.0232162
149A40A0349S1959NJ015001Westphalia4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties39.7555542,-75.1791687
149A08N0328S2007MD033001Westphalia7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties38.8488884,-76.7064972

Water Balance

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

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Click the image to view it full size.

Competing Series

Soil series competing with WESTPHALIA 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 WESTPHALIA 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 WESTPHALIA 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 WESTPHALIA, 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 WESTPHALIA 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
Collington, Wist, and Westphalia soils, 15 to 25 percent slopesCSE4491609566ng9fmd00320031:12000
Collington, Wist, and Westphalia soils, 25 to 40 percent slopesCSF3678609567ng9gmd00320031:12000
Collington, Wist, and Westphalia soils, 40 to 80 percent slopesCSG530609568ng9hmd00320031:12000
Westphalia and Dodon soils, 25 to 40 percent slopesWDF627224748282p285md03320091:12000
Westphalia and Dodon soils, 40 to 80 percent slopesWDG112824748292p286md03320091:12000
Evesboro-Westphalia complex, 20 to 45 percent slopes, moderately erodedEwE21619312831249j3md03719751:20000
Evesboro-Westphalia complex, 12 to 20 percent slopes, moderately erodedEwD2855912831149j2md03719751:20000
Evesboro-Westphalia complex, 6 to 12 percent slopes, moderately erodedEwC2126412831049j1md03719751:20000
Westphalia fine sandy loam, 6 to 12 percent slopes, moderately erodedWeC250612835649kjmd03719751:20000
Westphalia fine sandy loam, 2 to 6 percent slopes, moderately erodedWeB248312835549khmd03719751:20000
Westphalia fine sandy loam, 6 to 12 percent slopes, severely erodedWeC340012835749kkmd03719751:20000
Westphalia fine sandy loam, 2 to 5 percent slopesWeeB1243697920rf7knj00519671:24000
Westphalia loamy fine sand, 2 to 5 percent slopesWedB686697918rf7hnj00519671:24000
Westphalia fine sandy loam, 0 to 2 percent slopesWeeA578697919rf7jnj00519671:24000
Westphalia loamy fine sand, 0 to 2 percent slopesWedA485697917rf7gnj00519671:24000
Westphalia-Buddtown-Urban land complex, 0 to 5 percent slopesWefB5052777779v3bnnj00719641:12000
Westphalia loamy fine sand, 2 to 5 percent slopesWedB2142710909rvrknj00719641:12000
Westphalia fine sandy loam, 2 to 5 percent slopesWeeB1118710911rvrmnj00719641:12000
Westphalia loamy fine sand, 5 to 10 percent slopesWedC889710910rvrlnj00719641:12000
Westphalia fine sandy loam, 10 to 15 percent slopesWeeD792731418sk34nj00719641:12000
Westphalia fine sandy loam, 10 to 15 percent slopes, erodedWeeD2155731417sk33nj00719641:12000
Westphalia fine sandy loam, 5 to 10 percent slopesWeeC6731419sk35nj00719641:12000
Westphalia fine sandy loam, 2 to 5 percent slopesWeeB4556108960315kthnj01520041:24000
Westphalia-Urban land complex, 0 to 5 percent slopesWehB2040108960915ktpnj01520041:24000
Westphalia fine sandy loam, 5 to 10 percent slopesWeeC1100108960415ktjnj01520041:24000
Westphalia fine sandy loam, 15 to 40 percent slopesWeeF555108960815ktnnj01520041:24000
Westphalia-Urban land complex, 5 to 10 percent slopesWehC498108961015ktqnj01520041:24000
Urban land-Westphalia complex, 0 to 5 percent slopesUSWESB493108959715kt9nj01520041:24000
Westphalia fine sandy loam, 10 to 15 percent slopesWeeD441108960515ktknj01520041:24000
Westphalia fine sandy loam, 10 to 15 percent slopes, erodedWeeD277108960615ktlnj01520041:24000
Westphalia loamy very fine sand, 15 to 30 percent slopes, erodedWlE253512057841gmva17919701:15840
Westphalia loamy very fine sand, 6 to 15 percent slopes, erodedWlD236012057741glva17919701:15840
Westphalia loamy very fine sand, 2 to 6 percent slopesWlB21512057641gkva17919701:15840

Map of Series Extent

Approximate geographic distribution of the WESTPHALIA 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 .