Official Series Description


Lab Data Summary

Aggregate lab data for the TANASEE soil series. This aggregation is based on all pedons with a current taxon name of TANASEE, 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 TANASEE 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
130B02N10152002NC087002Tanasee7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties35.5870452,-83.066819
130B88P087588NC121001Tanasee6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties36.0877762,-82.1302795

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the TANASEE 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 TANASEE 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 TANASEE 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 TANASEE 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 TANASEE 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 TANASEE 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 TANASEE 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 TANASEE, 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 TANASEE 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
Balsam-Tanasee complex, 30 to 50 percent slopes, extremely boulderyBaE135616719311t3s8nc02120061:12000
Balsam-Tanasee complex, 15 to 30 percent slopes, extremely boulderyBaD22116719301t3s7nc02120061:12000
Tanasee-Balsam complex, 30 to 50 percent slopes, stonyTaE1079547112lc9snc09919911:12000
Tanasee-Balsam complex, 15 to 30 percent slopes, stonyTaD506547111lc9rnc09919911:12000
Tanasee-Balsam complex, 8 to 15 percent slopes, stonyTaC33547110lc9qnc09919911:12000
Tanasee-Balsam complex, 30 to 50 percent slopes, very boulderyTbE2108547594lctbnc12119971:12000
Tanasee-Balsam complex, 15 to 30 percent slopes, very boulderyTbD201547593lct9nc12119971:12000
Balsam-Tanasee complex, 30 to 50 percent slopes, very bouldery199E25225018682q8lznc17519681:15840
Balsam-Tanasee complex, windswept, 30 to 50 percent slopes, very bouldery192E2425019132q8m4nc17519681:15840
Balsam-Tanasee complex, windswept, 15 to 30 percent slopes, very bouldery192D825019122q8m3nc17519681:15840
Balsam-Tanasee complex, 30 to 50 percent slopes, extremely boulderyBcE2960547811ld1bnc19919971:12000
Balsam-Tanasee complex, 15 to 30 percent slopes, extremely boulderyBcD466547810ld19nc19919971:12000
Tanasee-Balsam complex, 30 to 50 percent slopes, very stonyTaE22556329lnx3nc60520071:12000
Tanasee-Balsam complex, 30 to 50 percent slopes, very stonyTcE822546810lc01nc60619911:12000
Tanasee-Balsam complex, 15 to 30 percent slopes, eroded, stonyTeD2640546812lc03nc60619911:12000
Tanasee-Balsam complex, 15 to 30 percent slopes, very stonyTcD489546809lc00nc60619911:12000
Tanasee-Balsam complex, 8 to 15 percent slopes, eroded, stonyTeC2277546811lc02nc60619911:12000
Tanasee-Balsam complex, 8 to 15 percent slopes, stonyTaC112546808lbzznc60619911:12000
Balsam-Tanasee complex, windswept, 15 to 30 percent slopes, very bouldery192D5925091222q1wlnc60619911:12000
Tanasee-Balsam complex, windswept, 8 to 15 percent slopes, stony190C2425091242pf89nc60619911:12000
Balsam-Tanasee complex, windswept, 30 to 50 percent slopes, very bouldery192E1325091232q1wmnc60619911:12000
Tanasee-Balsam complex, windswept, 2 to 8 percent slopes, stony190B225091252pf8bnc60619911:12000

Map of Series Extent

Approximate geographic distribution of the TANASEE 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 .