Official Series Description


Lab Data Summary

Aggregate lab data for the VISALIA soil series. This aggregation is based on all pedons with a current taxon name of VISALIA, 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 VISALIA were used in the calculation. Source: KSSL snapshot (updated 2020-03-13). 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 VISALIA 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 VISALIA series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot (updated 2024-10-24), parsed OSD records (updated 2024-10-23) and snapshot of SC database (updated 2024-10-23).

There are insufficient data to create the sibling sketch figure.

Select annual climate data summaries for the VISALIA series and siblings. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data (updated 2024-10-23).

There are insufficient data to create the annual climate figure.

Geomorphic description summaries for the VISALIA 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 (updated 2024-10-23).

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 VISALIA share the same family level classification in Soil Taxonomy. Source: parsed OSD records (updated 2024-10-23) and snapshot of the SC database (updated 2024-10-23).

There are insufficient data to create the competing sketch figure.

Select annual climate data summaries for the VISALIA series and competing. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data (updated 2024-10-23).

There are insufficient data to create the annual climate figure.

Geomorphic description summaries for the VISALIA 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 (updated 2024-10-23).

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 VISALIA, 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 (updated 2024-10-23).

This figure is not available.

Block Diagrams

No block diagrams are available.

Map Units

Map units containing VISALIA 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
Visalia sandy loam, 2 to 5 percent slopesVaB17619456943hbh3ca63819671:24000
Visalia sandy loam, 0 to 2 percent slopesVaA14928456942hbh2ca63819671:24000
Visalia sandy loam, 5 to 9 percent slopesVaC544332959112zwrwca63819671:24000
Visalia gravelly sandy loam, 2 to 5 percent slopesVbB1908456946hbh6ca63819671:24000
Visalia sandy loam, 9 to 15 percent slopesVaD1517456945hbh5ca63819671:24000
Visalia gravelly sandy loam, 5 to 9 percent slopesVbC633456947hbh7ca63819671:24000
Visalia fine sandy loam, 0 to 1 percent slopesVaA4846463542hkbzca65119591:20000
Visalia sandy loam, 0 to 3 percent slopesVdA2152463543hkc0ca65119591:20000
Visalia sandy loam, moderately deep over sand, 0 to 3 percent slopesVnA317463544hkc1ca65119591:20000
Visalia sandy loam, 0 to 3 percent slopesVaA2632464510hlc6ca65419661:24000
Visalia sandy loam, 3 to 9 percent slopesVaB976464511hlc7ca65419661:24000
Visalia sandy loam, clay loam substratum, 0 to 3 percent slopesVdA325464512hlc8ca65419661:24000
Visalia loam, 0 to 3 percent slopesVeA207464513hlc9ca65419661:24000
Visalia sandy loam, 0 to 8 percent slopes, erodedVlC2528458391hcztca67919671:15840
Visalia fine sandy loam, 0 to 2 percent slopesVmA315458392hczvca67919671:15840
Visalia fine sandy loam, 2 to 8 percent slopesVmC261458393hczwca67919671:15840
Visalia sandy loam, 5 to 9 percent slopesVaC1932959312zwrwca67919671:15840
Visalia sandy loam, 2 to 5 percent slopesVaB17729108sgpmca67919671:15840
Visalia sandy loam, 9 to 15 percent slopesVaD8729110sgppca67919671:15840
Visalia sandy loam, 0 to 3 percent slopesVdAm11316750061t6zgca75019831:24000
Visalia sandy loam, 0 to 3 percent slopesVaAef623708032kl0jca76019811:24000

Map of Series Extent

Approximate geographic distribution of the VISALIA 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 (updated 2024-10-30).