Official Series Description


Lab Data Summary

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

Soil series competing with SAN BENITO 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 SAN BENITO series and competing. 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 SAN BENITO 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 .

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

Soil series sharing subgroup-level classification with SAN BENITO, 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 SAN BENITO 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
San Benito-Alo complex, 50 to 75 percent slopes, MLRA 15SdG80504557162wv85ca05319721:24000
San Benito-Diablo complex, 30 to 50 percent slopes, MLRA 15SdF45204557152wv88ca05319721:24000
San Benito clay loam, 30 to 50 percent slopes, eroded, MLRA 15SbF2573354562742wv7xca06919651:20000
San Benito clay loam, 15 to 30 percent slopes, eroded, MLRA 15SbE2261254562732wv82ca06919651:20000
San Benito clay loam, 30 to 50 percent slopes, severely eroded, MLRA 15SbF390334562752wp52ca06919651:20000
San Benito clay loam, 9 to 15 percent slopes, MLRA 15SbD41774562722tz0yca06919651:20000
San Benito clay loam, 15 to 30 percent slopes227124025626372q3fdca06919651:20000
San Benito clay loam, 30 to 50 percent slopes, MLRA 1522831525626312wv87ca06919651:20000
Altamont-San Ysidro-San Benito complex, 2 to 9 percent slopesAlC6346456053h9kdca09519691:24000
Altamont-San Ysidro-San Benito complex, 9 to 30 percent slopesAlE4191456054h9kfca09519691:24000
San Benito clay loam, 30 to 50 percent slopes, moderately deep, MLRA 15SbF6854570492wv89ca64619671:24000
San Benito clay loam, 30 to 50 percent slopes, severely eroded, MLRA 15SbF35024570502wp52ca64619671:24000
San Benito clay loam, 50 to 75 percent slopes, MLRA 15SbG3614570512wv83ca64619671:24000
San Benito clay loam, 15 to 30 percent slopes, eroded, MLRA 15SbE22024570482wv82ca64619671:24000
San Benito clay loam, 30 to 50 percent slopes, eroded, MLRA 15SbF2sb86996892wv7xca64619671:24000
San Benito clay loam, 9 to 15 percent slopes, MLRA 15SbDsb16996882tz0yca64619671:24000
Los Osos-San Benito complex, 30 to 45 percent slopesLsF1133033563802zwtbca67219661:20000
Los Osos-San Benito complex, 15 to 30 percent slopesLsE2979342283931d63ca67219661:20000
Los Osos-San Benito complex, 30 to 75 percent slopes, severely erodedLsG31515342284031d64ca67219661:20000
San Benito-Diablo complex, 45 to 75 percent slopesSgG1247457489hc1qca67219661:20000
San Benito-Diablo complex, 30 to 45 percent slopesSgF915457488hc1pca67219661:20000
Los Osos-San Benito complex, 15 to 30 percent slopesLsE537342284931d63ca67319741:24000
Los Osos-San Benito complex, 30 to 75 percent slopes, severely erodedLsG3360342285031d64ca67319741:24000
Los Osos-San Benito complex, 30 to 45 percent slopesLsF1133563572zwtbca67319741:24000
San Benito clay loam, 30 to 50 percent slopes, eroded, MLRA 20ScF2175434577662wv7yca67419681:24000
San Benito clay loam, 50 to 75 percent slopes, MLRA 20ScG79454577672wv84ca67419681:24000
San Benito clay loam, 15 to 30 percent slopes, eroded, MLRA 20ScE246924577652wv80ca67419681:24000
San Benito clay loam, 9 to 15 percent slopes, erodedScD21642457764hcblca67419681:24000
Lunada-San Benito, warm complex, 30 to 75 percent slopes116941529116652w62jca69620161:24000

Map of Series Extent

Approximate geographic distribution of the SAN BENITO 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 .