Official Series Description


Lab Data Summary

Aggregate lab data for the WHITTIER soil series. This aggregation is based on all pedons with a current taxon name of WHITTIER, 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 WHITTIER 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
104X53-352-1S1986IA105001Whittier2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties41.9798505,-91.2248027
105X49-352-1S1988IA097050Whittier2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.0767681,-90.4188351

Water Balance

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

Click the image to view it full size.

There are insufficient data to create the 3D flats position figure.

Soil series sharing subgroup-level classification with WHITTIER, 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 WHITTIER 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
Whittier silt loam, 1 to 4 percent slopes352B406402877fj71ia01119771:15840
Whittier silt loam, 2 to 5 percent slopes352B51713971081hwt0ia03120081:12000
Whittier silt loam, 5 to 9 percent slopes, moderately eroded352C245113971091hwt1ia03120081:12000
Whittier silt loam, 2 to 5 percent slopes352B505404407fktdia04519781:15840
Whittier silt loam, 2 to 5 percent slopes352B389407495fp10ia09719881:15840
Whittier silt loam, 2 to 5 percent slopes352B1119408003fpkdia10319791:15840
Whittier silt loam, 5 to 9 percent slopes, moderately eroded352C2254408004fpkfia10319791:15840
Whittier silt loam, 1 to 5 percent slopes352B681408143fppxia10519881:15840
Whittier silt loam, 2 to 5 percent slopes352B885408614fq63ia11319701:15840
Whittier silt loam, 0 to 2 percent slopes352A345408613fq62ia11319701:15840
Whittier silt loam, 5 to 9 percent slopes, moderately eroded352C2293408615fq64ia11319701:15840
Whittier silt loam, 2 to 5 percent slopes352B389408763fqbxia11519841:15840
Whittier silt loam, 9 to 14 percent slopes, moderately eroded352D2310408765fqbzia11519841:15840
Whittier silt loam, 5 to 9 percent slopes, moderately eroded352C2269408764fqbyia11519841:15840
Whittier silt loam, 2 to 5 percent slopes352B1034409969frltia13919861:15840
Whittier silt loam, 5 to 9 percent slopes, moderately eroded352C2545409971frlwia13919861:15840
Whittier silt loam, 9 to 14 percent slopes, moderately eroded352D2426409972frlxia13919861:15840
Whittier silt loam, 5 to 9 percent slopes352C277409970frlvia13919861:15840
Whittier silt loam, 5 to 9 percent slopes, moderately eroded352C2318410965fsmyia16319891:15840
Whittier silt loam, 2 to 5 percent slopes352B219410964fsmxia16319891:15840

Map of Series Extent

Approximate geographic distribution of the WHITTIER 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 .