Official Series Description


Lab Data Summary

Aggregate lab data for the COARSEGOLD soil series. This aggregation is based on all pedons with a current taxon name of COARSEGOLD, 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 COARSEGOLD 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
18UCD581000358-CA-10-003COARSEGOLD3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties36.9301987,-119.2515793
18UCD591000159-CA-10-001COARSEGOLD2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties36.8961792,-119.2452393

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the COARSEGOLD 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 COARSEGOLD 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 COARSEGOLD 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 COARSEGOLD 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 terrace figure.

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

Competing Series

Soil series competing with COARSEGOLD 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 COARSEGOLD 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 COARSEGOLD 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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Soil series sharing subgroup-level classification with COARSEGOLD, 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 COARSEGOLD 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 Andreas-Coarsegold complex, 30 to 50 percent slopesSaF11956463296hk31ca64919671:24000
San Andreas-Coarsegold very rocky complex, 9 to 30 percent slopesSbE7022463297hk32ca64919671:24000
San Andreas-Coarsegold complex, 15 to 30 percent slopesSaE4985463295hk30ca64919671:24000
San Andreas-Coarsegold complex, 2 to 15 percent slopesSaD3933463294hk2zca64919671:24000
Coarsegold loam, 45 to 75 percent slopesChF28135463359hk52ca65119591:20000
Coarsegold loam, 8 to 30 percent slopesChD3787463358hk51ca65119591:20000
Coarsegold rocky loam, 30 to 75 percent slopesCkF2611463361hk54ca65119591:20000
Coarsegold rocky loam, 15 to 30 percent slopesCkD1432463360hk53ca65119591:20000
Coarsegold fine sandy loam, 45 to 70 percent slopesCxF8911464260hl34ca65419661:24000
Coarsegold fine sandy loam, 30 to 45 percent slopesCxE2331464259hl33ca65419661:24000
Coarsegold rocky fine sandy loam, 45 to 70 percent slopesCyF869464261hl35ca65419661:24000
Coarsegold fine sandy loam, 15 to 30 percent slopesCxD796464258hl32ca65419661:24000
Coarsegold fine sandy loam, 9 to 15 percent slopesCxC160464257hl31ca65419661:24000
Coarsegold loam, 30 to 50 percent slopes11920819463584hkdbca66019771:24000
Coarsegold-Rock outcrop complex, 15 to 50 percent slope s12011366463585hkdcca66019771:24000
Coarsegold loam, 15 to 30 percent slope1183564463583hkd9ca66019771:24000
Coarsegold-Auberry families association, 35 to 65 percent slopes12719935465102hlz9ca75019831:24000
Coarsegold-Auberry families-Rock outcrop association, 35 to 85 percent slopes1289808465103hlzbca75019831:24000
Typic Argixerolls-Coarsegold family association, 35 to 65 percent slopes1691039465144hm0nca75019831:24000
Coarsegold fine sandy loam, 30 to 45 percent slopesCxEef1269623707842kkzxca76019811:24000
Coarsegold-Auberry families association, 35 to 65 percent slopes127sf67523707642kkz8ca76019811:24000
Coarsegold fine sandy loam, 45 to 70 percent slopesCxFef47023707852kkzyca76019811:24000
Coarsegold-Auberry families-Rock outcrop association, 35 to 85 percent slopes128sf40623707652kkz9ca76019811:24000
Coarsegold rocky fine sandy loam, 45 to 70 percent slopesCyFef1723707862kkzzca76019811:24000
Coarsegold fine sandy loam, 15 to 30 percent slopesCxDef1023707832kkzwca76019811:24000
Coarsegold-Rock outcrop complex, 15 to 50 percent slope s120tc423707382kkyfca76019811:24000

Map of Series Extent

Approximate geographic distribution of the COARSEGOLD 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 .