Official Series Description


Lab Data Summary

Aggregate lab data for the AMADOR soil series. This aggregation is based on all pedons with a current taxon name of AMADOR, 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 AMADOR 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
18UCD710506071-CA-05-060xAmador4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties38.190956,-120.851066
1805N0394S04CA099-003Amador7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties37.9538611,-120.8142222
1812N7646S2011DEB094NAmador6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties38.2094444,-120.7913889

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the AMADOR 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 AMADOR 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 AMADOR 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 AMADOR 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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There are insufficient data to create the 3D flats position figure.

Competing Series

Soil series competing with AMADOR 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 AMADOR 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 AMADOR 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 terrace figure.

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

Soil series sharing subgroup-level classification with AMADOR, 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

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

  1. CA-2010-08-30-04 | Stanislaus County, Northern Part - 2007

    Typical pattern of soils and parent materials on the eastern side of the San Joaquin Valley and in the low hills of the metamorphic belt region of the Sierra Nevada Mountains. Consolidated parent materials are in the hills (Soil Survey of Stanislaus County, California, Northern Part; 2007).

  2. CA-2011-05-27-08 | Sacramento County - 1993

    Cross section showing the relationship of geomorphic surfaces, soils, and geology in the eastern part of Sacramento County. The vertical scale is exaggerated. The number 1 indiates Deer Creek; 2, the Cosumnes River; 3, Arkansas Creek; and 4, the Sacramento- Amador County line (Soil Survey of Sacramento County, California; 1993).

Map Units

Map units containing AMADOR 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
Amador-Gillender complex, 2 to 15 percent slopes1016320461845hhl7ca06719891:24000
Vleck-Amador-Pits, mine complex, 15 to 50 percent slopes2361170461980hhqlca06719891:24000
Amador sandy loam, 2 to 15 percent slopes501260029249502rx24ca07719901:24000
Amador-Gillender complex, 2 to 15 percent slopes101sa11316120481r3gkca62819631:20000
Amador sandy loam, 2 to 15 percent slopes50121586427668382rx24ca63020181:24000
Pardee-Amador complex, 15 to 40 percent slopes5202999927668372rx21ca63020181:24000
Miltonhills-Amador complex, 15 to 45 percent slopes5013435226005292rx18ca63020181:24000
Urban land-Amador complex, 2 to 15 percent slopes901748926005372rx1cca63020181:24000
Amador sandy loam, 2 to 15 percent slopes5012577129249582rx24ca63220061:24000
Miltonhills-Amador complex, 15 to 45 percent slopes5013565429249592rx18ca63220061:24000
Amador gravelly loam, 0 to 8 percent slopesAgB1983462528hj98ca64419591:24000
Amador loam, 8 to 30 percent slopesAmD1724462530hj9bca64419591:24000
Amador loam, 0 to 8 percent slopesAmB1411462529hj99ca64419591:24000
Amador loam, 30 to 60 percent slopesAmF79462531hj9cca64419591:24000
Amador loam, 0 to 8 percent slopesAbB4384462954hjr0ca64819591:20000
Amador loam, 8 to 30 percent slopesAbD1815462955hjr1ca64819591:20000
Amador loam, 30 to 45 percent slopesAbE23462956hjr2ca64819591:20000

Map of Series Extent

Approximate geographic distribution of the AMADOR 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 .