Official Series Description


Lab Data Summary

Aggregate lab data for the ESCATAWBA soil series. This aggregation is based on all pedons with a current taxon name of ESCATAWBA, 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 ESCATAWBA 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
12704N0114S03WV083007Escatawba7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties38.9449997,-79.6030579

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the ESCATAWBA 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 ESCATAWBA 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 ESCATAWBA 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 ESCATAWBA 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 ESCATAWBA 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 ESCATAWBA series and competing. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data .

There are insufficient data to create the annual climate figure.

Geomorphic description summaries for the ESCATAWBA 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 .

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 ESCATAWBA, 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 ESCATAWBA 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
Escatawba loam, 8 to 15 percent slopes, very stony22C5431834346x06dva00520031:24000
Escatawba loam, 15 to 35 percent slopes, very stony22D2222834347x06fva00520031:24000
Escatawba loam, 3 to 8 percent slopes, very stony22B2182834345x06cva00520031:24000
Escatawba loam, 8 to 15 percent slopes, very stony18C629214514761kqctva01720051:24000
Escatawba loam, 3 to 8 percent slopes, very stony18B237514514751kqcsva01720051:24000
Escatawba loam, 15 to 35 percent slopes, very stony18D216214514771kqcvva01720051:24000
Escatawba silt loam, 8 to 15 percent slopes19C142414514441kqbsva01720051:24000
Escatawba silt loam, 3 to 8 percent slopes19B123414514431kqbrva01720051:24000
Escatawba loam, 8 to 15 percent slopes, very stony18C255124810962p8scva04520101:24000
Escatawba loam, 15 to 35 percent slopes, very stony18E89524810972p8sdva04520101:24000
Escatawba loam, 8 to 15 percent slopes17C41124810952p8sbva04520101:24000
Escatawba loam, 3 to 8 percent slopes17B11024810942p8s9va04520101:24000
Escatawba loam, 8 to 15 percent slopes, very stony18C333125120462q7vtva09120101:24000
Escatawba silt loam, 3 to 8 percent slopes19B256125120472q7vvva09120101:24000
Escatawba loam, 15 to 35 percent slopes, very stony18E198825120442q7vrva09120101:24000
Escatawba silt loam, 8 to 15 percent slopes19C157025120482q7vwva09120101:24000
Escatawba loam, 3 to 8 percent slopes, very stony18B117025120452q7vsva09120101:24000
Escatawba-Jefferson complex, 7 to 15 percent slopes11C2992521704khw5va10519971:24000
Escatawba-Jefferson complex, 2 to 7 percent slopes11B1343521703khw4va10519971:24000
Escatawba loam, 8 to 15 percent slopes21C345625147872qd9pva16320101:24000
Escatawba loam, 3 to 8 percent slopes21B171725147862qd9nva16320101:24000
Escatawba loam, 8 to 15 percent slopes8C531740432z3dfva8501:24000

Map of Series Extent

Approximate geographic distribution of the ESCATAWBA 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 .