Official Series Description


Lab Data Summary

Aggregate lab data for the CHARTERS soil series. This aggregation is based on all pedons with a current taxon name of CHARTERS, 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 CHARTERS 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
43B95P093195ID015005CHARTERS7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties43.7297211,-116.1166687

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the CHARTERS 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 CHARTERS 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 CHARTERS 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 CHARTERS 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 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 CHARTERS 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 CHARTERS 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 CHARTERS 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 hills figure.

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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 CHARTERS, 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 CHARTERS 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
Eagleson-Kosh-Charters complex, 35 to 90 percent slopes75882425191562qwrid00120121:24000
Charters-Crumley-Eagleson complex, 35 to 90 percent slopes71879325191522qvgid00120121:24000
Shirts-Charters-Zimmer complex, 35 to 90 percent slopes7316425191532qvlid00120121:24000
Charters-Northfork-Shirts complex, 35 to 90 percent slopes7105825191492qsrid00120121:24000
Charters-Shirts-Zimmer complex, 35 to 90 percent slopes7124125191502qstid00120121:24000
Shirts-Zimmer-Charters complex, 35 to 90 percent slopes7353625191542qvpid00120121:24000
Charters-Shirts-Kosh complex, 25 to 65 percent slopes759149452519762p4syid68320121:24000
Backswitch-Charters-Zimmer complex, 8 to 50 percent slopes766137052519798p5txid68320121:24000
Charters-Crumley-Eagleson complex, 35 to 90 percent slopes7181355725197262qvgid68320121:24000
Shirts-Kosh-Charters complex, 25 to 65 percent slopes7211296225197002qvjid68320121:24000
Shirts-Kosh-Charters complex, 15 to 50 percent slopes767121552519769p5vtid68320121:24000
Shirts-Zimmer-Charters complex, 35 to 90 percent slopes7351123825198212qvpid68320121:24000
Charters-Shirts-Zimmer complex, 35 to 90 percent slopes7121099825197682qstid68320121:24000
Eagleson-Kosh-Charters complex, 35 to 90 percent slopes758865125197042qwrid68320121:24000
Shirts-Charters-Zimmer complex, 35 to 90 percent slopes731654625198132qvlid68320121:24000
Charters-Northfork-Shirts complex, 35 to 90 percent slopes710597025198352qsrid68320121:24000
Middlefork-Charters complex, 8 to 25 percent slopes42455842519660p4sqid68320121:24000
Quartzburg-Charters complex, 35 to 90 percent slopes749466525198322qw1id68320121:24000
Shirts-Charters complex, 15 to 35 percent slopes70928692519730p4sxid68320121:24000
Shirts-Charters-Kosh complex, 15 to 65 percent slopes77027482519709p5w5id68320121:24000
Charters-Middlefork complex, 8 to 50 percent slopes761187625197972qq5id68320121:24000
Shirts-Eagleson-Charters complex, 35 to 65 percent slopes71416682519738tdxqid68320121:24000
Charters-Shirts-Zimmer complex, 15 to 35 percent slopes711150925197112qssid68320121:24000
Pinney-Charters-Shirts complex, 25 to 65 percent slopes747148725197062qw0id68320121:24000
Charters-Eagleson complex, 35 to 90 percent slopes74081225197282qvtid68320121:24000
Charters-Zeb complex, 15 to 50 percent slopes41961925196952qtsid68320121:24000

Map of Series Extent

Approximate geographic distribution of the CHARTERS 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 .