Official Series Description


Lab Data Summary

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

There are insufficient data to create the water balance bar figure.



There are insufficient data to create the water balance line figure.

Sibling Summary

Siblings are those soil series that occur together in map units, in this case with the TYPIC ENDOAQUANDS 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 TYPIC ENDOAQUANDS 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 TYPIC ENDOAQUANDS 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 TYPIC ENDOAQUANDS 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 TYPIC ENDOAQUANDS 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 TYPIC ENDOAQUANDS 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 TYPIC ENDOAQUANDS, 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 .

This figure is not available.

Block Diagrams

Click a link below to display the diagram. Note that these diagrams may be from multiple survey areas.

  1. CA-2012-04-20-05 | Lassen Volcanic National Park - 2010

    Block diagram 3. – This diagram shows a north flowing glacial valley in the Grassy Creek drainage, and the surrounding glacially scoured uplands. Unconfined glaciers scoured the lava flows on the uplands, and deposited till in the valley below as they merged into partially confined north flowing glaciers. The glaciers did not completely cover Red Cinder, Ash Butte and Mount Hoffman. Red Cinder Cone and Ash Butte retained much of their cinder cone shape and composition, and Mount Hoffman formed a nunatak composed of remnants of the Dittmar Volcanic Center. Outwash was deposited in the lower flatter reach of the valley. The lake terraces are likely remnants of the fluctuations of a glacial lake. The lava flows from Cinder Cone obstructed the drainage to form Snag Lake (Soil Survey of Lassen Volcanic National Park, California; 2010).

Map Units

Map units containing TYPIC ENDOAQUANDS 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
Histic Humaquepts, lake sediments-Histic Humaquepts, frequently flooded-Typic Endoaquands complex, 0 to 15 percent slopes130lp324342532mq19ca70819841:24000
Humic Haploxerands, lake terrace-Typic Endoaquands complex, 1 to 30 percent slopes,14872223777322kt71ca78920091:24000
Histic Humaquepts, lake sediments-Histic Humaquepts, frequently flooded-Typic Endoaquands complex, 0 to 15 percent slopes13049718837652176mca78920091:24000
Duric Vitraquands-Typic Endoaquands-Aquandic Cryaquents complex, 0 to 8 percent slopes13944923777222kt6qca78920091:24000
Typic Endoaquands, 1 to 10 percent slopes906W5830781862mc4wa63220001:24000

Map of Series Extent

Approximate geographic distribution of the TYPIC ENDOAQUANDS 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 .